Biological information measuring device and biological information measuring method

Abstract

The biological information measuring device according to the present invention comprises: a container for covering at least a portion of a plant leaf; and a sensor for measuring the concentration of at least one of water vapor and carbon dioxide inside and outside the container. At least a portion of the wall constituting the container is configured from a permeable membrane having impermeability to water vapor or carbon dioxide.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to a biological information measuring device and a biological information measuring method, and particularly relates to a biological information measuring device for plants and a biological information measuring method for plants. BACKGROUND

[0002] In order to optimize the cultivation environment of plants and automate the cultivation management, it is necessary to accurately evaluate the biological information of plants. In the past, such evaluation of the biological information of plants was performed based on the appearance of plants, and in addition, relied on the intuition and experience of producers.

[0003] That is, the evaluation of the biological information of plants has been performed by visual observation by humans, but it is difficult for unskilled producers to accurately evaluate the biological information of plants. In addition, it is difficult to accurately and easily obtain scientific data related to the biological information of plants without destruction, and it is difficult to optimize the cultivation environment and automate the cultivation management. Furthermore, it is desirable to detect related signs of biological information before changes in the appearance of plants occur. Therefore, as a method of evaluating the biological information of plants, a method of using a measuring device provided with a sensor capable of obtaining the concentration of a gas has been proposed.

[0004] For example, as shown in Figure 22 , a method of measuring the transpiration rate and the carbon dioxide assimilation rate using a closed chamber (13) provided with a sensor (3) has been proposed. In this measuring method, the entire or a part of a plant body is housed in the closed chamber, and then the concentrations of water vapor (H2O) and carbon dioxide (CO2) in the air in the chamber, and the concentrations of water vapor (H2O) and carbon dioxide (CO2) in the air in the chamber after a certain time have been obtained with the sensor, and from the difference (ΔH2O, ΔCO2) between the concentrations of the two and the amount of air in the chamber, the transpiration rate (E) and the carbon dioxide assimilation rate (A) are calculated as shown in the following equations (1) and (2).

[0005] [Equation 1]

[0006]

[0007] In addition, as shown in Figure 23Further, a method for measuring the transpiration rate (E) and the carbon dioxide assimilation rate (A) using a ventilated chamber (13) provided with sensors (3) at the inlet and the outlet is shown. In this measurement method, the whole or part of the plant body is housed in the ventilated chamber (13), and the concentrations of water vapor (H2O) and carbon dioxide (CO2) at the inlet of the chamber (13) and the concentrations of water vapor (H2O) and carbon dioxide (CO2) at the outlet of the chamber (13) are obtained using the respective sensors (3), and the transpiration rate (E) and the carbon dioxide assimilation rate (A) are calculated from the concentration difference (ΔH2O, ΔCO2) between the inlet and the outlet and the flow rate of air supplied to the chamber (13) as shown in the following equations (3) and (4).

[0008] [Numeral 2]

[0009]

[0010] For example, as an example of measuring plant biological information using a ventilated chamber, Patent Literature 1 can be cited. In Patent Literature 1, a photosynthetic rate (carbon dioxide assimilation rate) measuring system for a plant is disclosed, which includes a covering portion that covers a target plant, a housing, and a sensor that measures the concentration of carbon dioxide, and an air stirring portion that stirs the flow of air flowing into the housing is provided inside the housing, and the sensor is provided at the inflow side and the outflow side of the air inside the housing. In this Patent Literature 1, it is disclosed that the photosynthetic rate (carbon dioxide assimilation rate) is calculated by the exhaust amount of the exhaust fan x [(CO2 concentration of air flowing into the covering portion - CO2 concentration of air discharged from the covering portion)].

[0011] Prior Art Documents

[0012] Patent Literature

[0013] Patent Literature 1: Japanese Patent Application Publication No. 2019-170247 SUMMARY

[0014] -PROBLEMS TO BE SOLVED BY THE INVENTION-

[0015] As described above, in the conventional measurement method, it is disclosed that the use of Figure 22 the closed chamber shown, and Figure 23 the ventilated chamber shown in Patent Literature 1, a method for measuring plant biological information such as the transpiration rate (E) or the carbon dioxide assimilation rate (A).

[0016] However, in closed-chamber measurement methods, the plant body, either entirely or partially, needs to be sealed within the chamber. Therefore, over time, the amount of water vapor in the air inside the chamber increases due to transpiration from the plant, while the amount of carbon dioxide decreases due to photosynthesis. Ultimately, because the air inside the chamber becomes saturated with water vapor and depletes with carbon dioxide, it becomes impossible to measure the plant's transpiration rate (E) and carbon dioxide assimilation rate (A). Therefore, to continuously measure the transpiration rate (E) or carbon dioxide assimilation rate (A), the atmosphere of water vapor and carbon dioxide in the air inside the chamber needs to be adjusted at predetermined intervals. However, in this closed-chamber measurement method involving atmosphere adjustment, it is difficult to conveniently and continuously measure the plant's biological information.

[0017] In view of this situation, a measurement method using a ventilated chamber has also been proposed. In this ventilated measurement, external air is introduced into a ventilated chamber covering the entire plant or a portion thereof. The concentrations of water vapor and carbon dioxide at the inlet and outlet of the chamber are obtained using sensors, and then the biological information of the plant is measured based on the concentration difference of water vapor or carbon dioxide between the inlet and outlet. Therefore, in the ventilated measurement, there is no need to adjust the atmosphere inside the chamber at predetermined intervals to measure the biological information from the plant. However, in order to measure the biological information of the plant by the ventilated measurement, as shown in equations (3) and (4) above, it is necessary to obtain the flow rate of the air supplied to the chamber. In addition, a gas flow control device is required, which makes it difficult to measure the biological information of the plant simply and continuously.

[0018] The present invention was made in view of the above-mentioned problems, and its purpose is to provide a bioinformatics measuring device and a bioinformatics measuring method that can easily and continuously measure the bioinformatics of plants.

[0019] -Solutions for solving the problem-

[0020] To achieve the above objectives, the inventors, through in-depth research, discovered that by using a measuring device with a permeable membrane that is partially permeable to water vapor or carbon dioxide, the biological information of plants can be measured conveniently and continuously, thus completing the present invention.

[0021] Specifically, the bioinformatics measuring device disclosed herein is characterized by comprising: a container for covering at least a portion of a plant leaf; and a sensor for measuring the concentration of at least one of water vapor and carbon dioxide on the inner and outer sides of the container; at least a portion of the wall constituting the container is composed of a permeable membrane that is resistant to water vapor or carbon dioxide.

[0022] According to the biological information measuring device according to the present disclosure, by covering a part of a plant leaf with a container to form a space from the container and the leaf, it is possible to measure the concentration of at least either one of water vapor and carbon dioxide in the air inside and outside the space with a sensor. The concentration of at least either one of water vapor and carbon dioxide thus measured can be used to calculate the biological information of the plant body based on the permeation resistance of the permeation membrane. Therefore, in the biological information measuring device according to the present disclosure, it is not necessary to acquire the flow rate of the air in the container or to use a gas flow rate control device in order to measure the biological information. In addition, since a part of the wall of the container is a permeation membrane, the air inside the space communicates with the outside air via the permeation membrane, so it is not necessary to worry about saturation of water vapor or depletion of carbon dioxide in the air in the space. Therefore, with the biological information measuring device according to the present disclosure, it is possible to easily and continuously measure the biological information of the plant body. In addition, even in the case where the entire plant leaf or the entire plant body is covered with a container, it is possible to measure the concentration of at least either one of water vapor and carbon dioxide in the air inside and outside the space of the container with a sensor. The concentration of at least either one of water vapor and carbon dioxide thus measured can be used to calculate the biological information of the plant body based on the permeation resistance of the permeation membrane. Therefore, with the biological information measuring device according to the present disclosure, it is possible to easily and continuously measure the biological information of the plant body.

[0023] The biological information measuring device according to the present disclosure can further include a computer configured to calculate at least one of the transpiration rate and the carbon dioxide assimilation rate of the plant leaf based on the difference in the concentration of at least either one of water vapor and carbon dioxide inside and outside the container and the permeation resistance.

[0024] Thus, it is possible to calculate the biological information of the plant body in at least one of the transpiration rate and the carbon dioxide assimilation rate.

[0025] The biological information measuring device according to the present disclosure is characterized by including: a permeation membrane having permeation resistance to water vapor or carbon dioxide; an adhesive layer provided on a surface of the permeation membrane so as to surround a prescribed region of the surface, the adhesive layer adhering the permeation membrane to a plant leaf; and a sensor provided inside and outside the prescribed region of the surface of the permeation membrane, the sensor measuring the concentration of at least either one of water vapor and carbon dioxide.

[0026] According to the biological information measuring device according to the present disclosure, by adhering the adhesion layer provided so as to surround a prescribed region on the surface of the permeation membrane to the plant leaf, a space is formed by the permeation membrane, the adhesion layer, and the leaf, and the concentration of at least one of water vapor and carbon dioxide in the air inside and outside the space is measured using the sensors provided on the surface of the permeation membrane inside and outside the prescribed region. The concentration of at least one of water vapor and carbon dioxide thus measured can be used to calculate the biological information of the plant based on the permeation resistance of the permeation membrane. Therefore, in the biological information measuring device according to the present disclosure, it is not necessary to acquire the flow rate of the air in the space or to use a gas flow rate control device in order to measure the biological information. In addition, since the air inside the space communicates with the air outside via the permeation membrane, it is not necessary to worry about saturation of water vapor or depletion of carbon dioxide in the air in the space. Therefore, with the biological information measuring device according to the present disclosure, it is possible to easily and continuously measure the biological information of the plant.

[0027] The biological information measuring device according to the present disclosure can further include a computer configured to calculate at least one of the transpiration rate and the carbon dioxide assimilation rate of the plant leaf based on the difference in the concentration of at least one of water vapor and carbon dioxide between the space formed by the permeation membrane, the adhesion layer, and the plant leaf inside the prescribed region of the permeation membrane and outside the space, and the permeation resistance.

[0028] According to the biological information measuring device provided with the computer, it is possible to calculate the biological information of the plant at least one of the transpiration rate and the carbon dioxide assimilation rate.

[0029] In the biological information measuring device according to the present disclosure, the permeation membrane can have a plurality of pores.

[0030] Thus, it is possible to allow water vapor or carbon dioxide to permeate while having a prescribed permeation resistance, and it is possible to allow the air inside the space to communicate with the air outside. In addition, since it is possible to maintain the difference in the concentration of water vapor or carbon dioxide between the air inside the space and the air outside due to biological activities of the plant such as transpiration or photosynthesis, it is possible to measure the biological information of the plant using the difference in the concentration.

[0031] The biological information measuring method according to the present disclosure is characterized by including: a step of covering at least a portion of a plant leaf with a container at least a portion of which is formed of a permeation membrane having a permeation resistance to water vapor or carbon dioxide to form a space by the container and the leaf, or a step of housing a plant leaf in a space of a container; a step of measuring the concentration of at least one of water vapor and carbon dioxide inside and outside the space; and a step of calculating at least one of the transpiration rate and the carbon dioxide assimilation rate of the plant leaf based on the difference in the concentration of at least one of water vapor and carbon dioxide between the inside and the outside of the space and the permeation resistance.

[0032] According to the biological information measuring method relating to the present disclosure, by covering a part of a plant leaf with a container to form a space from the container and the leaf, the concentration of at least either one of water vapor and carbon dioxide in the air inside and outside the space can be measured. The concentration of at least either one of water vapor and carbon dioxide thus measured can be used to calculate the biological information of the plant body based on the permeation resistance of the permeation membrane to water vapor or carbon dioxide. Therefore, in the biological information measuring method according to the present disclosure, it is not necessary to acquire the air flow rate in the container or to use a gas flow rate control device in order to measure the biological information. In addition, since a part of the wall of the container is a permeation membrane, the air inside the space communicates with the outside air through the permeation membrane, and therefore it is not necessary to worry about saturation of water vapor or depletion of carbon dioxide in the air in the space. Therefore, by using the biological information measuring method according to the present disclosure, the biological information of the plant body can be measured easily and continuously. In addition, even in the case where the entire plant leaf or the entire plant body is covered with the container, the concentration of at least either one of water vapor and carbon dioxide in the air inside and outside the space of the container can be measured. The concentration of at least either one of water vapor and carbon dioxide thus measured can be used to calculate the biological information of the plant body based on the permeation resistance of the permeation membrane. Therefore, by using the biological information measuring device according to the present disclosure, the biological information of the plant body can be measured easily and continuously.

[0033] The biological information measuring method relating to the present disclosure can include a step of further covering the back side of the plant leaf covered with the container with a gas barrier film, or a step of covering the back side of the plant leaf with another container composed of a permeation membrane having permeation resistance to at least either one of water vapor or carbon dioxide, to further form a space from the other container and the back side of the leaf.

[0034] According to the biological information measuring method having the above steps, the biological information of the plant can be measured even for a plant leaf having stomata on both sides.

[0035] The biological information measuring method relating to the present disclosure is characterized by including a step of adhering a film composed of a permeation membrane having permeation resistance to water vapor or carbon dioxide, and an adhesive layer provided to surround a prescribed region on the surface of the permeation membrane, to at least a part of a plant leaf, to form a space from the film and the leaf in the prescribed region of the film; a step of measuring the concentration of at least either one of water vapor and carbon dioxide in the air inside and outside the space; and a step of calculating at least one of the transpiration rate and the carbon dioxide assimilation rate of the plant leaf based on the difference in the concentration of at least either one of water vapor and carbon dioxide inside and outside the space thus measured, and the permeation resistance.

[0036] According to the biological information measuring method relating to the present disclosure, by adhering the adhesion layer provided so as to surround a prescribed region of the surface of the permeation membrane in the thin film to the leaf of the plant, a space can be formed by the thin film and the leaf, and the concentration of at least either of water vapor and carbon dioxide inside and outside the space can be measured. The concentration of at least either of water vapor and carbon dioxide measured in this way can be used to calculate the biological information of the plant based on the water vapor or carbon dioxide permeation resistance of the permeation membrane. Therefore, in the biological information measuring method according to the present disclosure, it is not necessary to acquire the air flow rate of the space or to use a gas flow rate control device in order to measure the biological information. Furthermore, since the air inside the space communicates with the air outside via the permeation membrane, it is not necessary to worry about the water vapor in the air inside the space becoming saturated or the carbon dioxide becoming depleted. Therefore, by using the biological information measuring method according to the present disclosure, it is possible to easily and continuously measure the biological information of the plant.

[0037] The biological information measuring method relating to the present disclosure can include a step of further covering the back side of the leaf of the plant covered by the thin film using a gas barrier film, or a step of further forming a space by the other thin film and the back side of the leaf in the prescribed region of the other thin film using a permeation membrane having water vapor or carbon dioxide permeation resistance and the adhesion layer provided so as to surround a prescribed region of the surface of the permeation membrane.

[0038] According to the biological information measuring method having the above steps, it is possible to measure the biological information of the plant even for a leaf having stomata on both sides.

[0039] In the biological information measuring method relating to the present disclosure, the permeation membrane can have a plurality of pores.

[0040] Therefore, since water vapor or carbon dioxide is allowed to permeate while having a prescribed permeation resistance, it is possible to allow the air inside the space to communicate with the air outside. Furthermore, since it is possible to maintain the concentration difference of water vapor or carbon dioxide between the air inside the space and the air outside due to the biological activity of the plant such as transpiration or photosynthesis using the permeation membrane having a plurality of pores, it is possible to measure the biological information of the plant using the concentration difference.

[0041] -Effects of the Invention-

[0042] According to the biological information measuring device and the biological information measuring method according to the present disclosure, it is possible to easily and continuously measure the biological information of the plant. BRIEF DESCRIPTION OF DRAWINGS

[0043] Figure 1 is a side view showing a biological information measuring device relating to an embodiment of the present disclosure.

[0044] Figure 2 FIG. 1 is a side view showing a biological information measuring device according to an embodiment of the present application.

[0045] Figure 3 FIG. 2 is a side view showing a use example of the biological information measuring device according to the embodiment of the present application.

[0046] Figure 4 FIG. 3 is a side view showing another use example of the biological information measuring device according to the embodiment of the present application.

[0047] Figure 5 FIG. 4 is a diagram showing a calculation example model of biological information according to the embodiment of the present application.

[0048] Figure 6 FIG. 5 is a side view showing a biological information measuring device according to another embodiment of the present application.

[0049] Figure 7 FIG. 6 is a side view showing a use example of the biological information measuring device according to the other embodiment of the present application.

[0050] Figure 8 FIG. 7 is a diagram showing a measurement example of biological information according to the embodiment of the present application, in which Figure 8 (a) is a diagram showing a measurement example when a plant leaf is unistomatal, Figure 8 (b) is a longitudinal sectional view showing the container and the leaf at the time of measurement.

[0051] Figure 9 FIG. 8 is a diagram showing a measurement example of biological information according to the embodiment of the present application, in which Figure 9 (a) is a diagram showing a measurement example when a plant leaf is bistomatal, Figure 9 (b) is a longitudinal sectional view showing the gas barrier film, the leaf and the container at the time of measurement.

[0052] Figure 10 FIG. 9 is a diagram showing a measurement example of biological information according to the embodiment of the present application, in which Figure 10 (a) is a diagram showing another measurement example when a plant leaf is bistomatal, Figure 10 (b) is a longitudinal sectional view showing the two containers and the leaf at the time of measurement.

[0053] Figure 11 FIG. 10 is a diagram showing a measurement example of biological information according to the embodiment of the present application, in which Figure 11 (a) is a diagram showing a measurement example applicable when a plant leaf is either unistomatal or bistomatal, Figure 11 (b) is a longitudinal sectional view showing the container and the leaf at the time of measurement.

[0054] Figure 12 is a schematic diagram showing a biological information measuring device of an embodiment.

[0055] Figure 13 is a graph showing the measurement results of biological information involved in Example 1-1, in which, Figure 13 (a) shows the light responsiveness of the transpiration rate (E) and the carbon dioxide assimilation rate (A) of grape leaves, lemon leaves, and cherry leaves, Figure 13 (b) shows the carbon dioxide responsiveness of the transpiration rate (E) and the carbon dioxide assimilation rate (A) of grape leaves, lemon leaves, and cherry leaves.

[0056] Figure 14 is a graph showing the measurement results of biological information involved in Example 1-2, showing the light responsiveness of the transpiration rate (E) and the carbon dioxide assimilation rate (A) of grape leaves.

[0057] Figure 15 is a graph showing the measurement results of biological information involved in Example 1-3, in which, Figure 15 (a) shows the light responsiveness of the transpiration rate (E) and the carbon dioxide assimilation rate (A) of sunflower leaves, Figure 15 (b) shows the carbon dioxide responsiveness of the transpiration rate (E) and the carbon dioxide assimilation rate (A) of sunflower leaves.

[0058] Figure 16 is a graph showing the measurement results of biological information involved in Example 1-4, showing the light responsiveness of the transpiration rate (E) and the carbon dioxide assimilation rate (A) of strawberry leaves and sunflower leaves.

[0059] Figure 17 is a graph showing the measurement results of biological information involved in Example 2, in which, Figure 17 (a) shows the light responsiveness of the transpiration rate (E) and the carbon dioxide assimilation rate (A) of sunflower leaves when different mesh permeable membranes are used, Figure 17 (b) shows the carbon dioxide responsiveness of the transpiration rate (E) and the carbon dioxide assimilation rate (A) of sunflower leaves when different mesh permeable membranes are used.

[0060] Figure 18 is a graph showing the measurement results of biological information involved in Example 3, in which, Figure 18 (a) shows the carbon dioxide assimilation rate (A) at T air diffusion conductance (g fw ) of water vapor and diffusion conductance (g fc ) of carbon dioxide of the lower permeable membrane, Figure 18 (b) shows the carbon dioxide assimilation rate (A) at T leaf .

[0061] Figure 19 is a graph showing the measurement results of biological information involved in Example 4, in which the left side shows SPAD values measured by a chlorophyll meter SPAD-502 Plus (manufactured by KONICA MINOLTA, INC.) for each leaf position, and the right side shows carbon dioxide assimilation rates (A) measured by a biological information measuring device using a permeable membrane and a LI-6800 for each leaf position.

[0062] Figure 20 is a graph showing the measurement results of biological information involved in Example 5-1, showing light responsiveness of transpiration rates (E) and carbon dioxide assimilation rates (A) before stopping irrigation (solid line), 3 days after stopping irrigation (dotted line), and 4 days after stopping irrigation (short dashed line).

[0063] Figure 21 is a graph showing the measurement results of biological information involved in Example 5-2, in which, Figure 21 (a) shows a change over time in the weight (g) of a sunflower pot and a change over time in the amount of evapotranspiration (g) of a sunflower and a pot soil, Figure 21 (b) shows a change over time in the transpiration rate (E NEW ) and the carbon dioxide assimilation rate (A NEW ) of a sunflower leaf measured by a biological information measuring device using a permeable membrane.

[0064] Figure 22 is a schematic diagram showing a sealed chamber provided with a sensor as an example of a conventional biological information measuring device.

[0065] Figure 23 is a schematic diagram showing a ventilated chamber provided with a sensor as an example of a conventional biological information measuring device.

[0066] Figure 24 is a schematic diagram showing a calculation example model of a transpiration rate (E STD ) and a carbon dioxide assimilation rate (A STD ) measured by a ventilated measurement. DETAILED DESCRIPTION

[0067] Hereinafter, embodiments of the present application will be described with reference to the accompanying drawings. The following description of preferred embodiments is merely exemplary in nature and is not intended to limit the present application, the methods for its application, or its uses.

[0068] <biological information measuring device>

[0069] Hereinafter, a biological information measuring device (1) involved in an embodiment of the present application will be described with reference to Figures 1-5 Hereinafter, a biological information measuring device (1) involved in an embodiment of the present application will be described with reference to

[0070] As Figure 1 and Figure 2 shown, an embodiment of the present application relates to a biological information measuring device (1) including: a container (2a, 2b) for covering at least a part of a plant leaf (8); and a sensor (3) provided on the inner side and the outer side of the container (2a, 2b) for measuring the concentration of at least either of water vapor and carbon dioxide; at least a part of a wall (4) constituting the container (2a, 2b) is constituted by a permeation membrane (5) having a resistance to permeation of water vapor or carbon dioxide.

[0071] For example, the biological information measuring device (1) can also have, as shown in Figure 1 , the container (2a) having an opening, and can also have, as shown in Figure 2 , the container (2b) having no opening (but can have a small hole through which a part of the plant passes) and having a closed space (6b) inside the container (2b). Such a biological information measuring device (1) can be used in accordance with the size and shape of the plant, and can measure biological information without damaging the plant.

[0072] As shown in Figure 1 and Figure 2 , the container (2a, 2b) can be a container including at least a wall (4) that does not transmit water vapor or carbon dioxide and the like, and a permeation membrane (5) having a resistance to permeation of water vapor or carbon dioxide, at least a part of the wall (4) being constituted by the permeation membrane (5). For example, as the container (2a, 2b), a glass container or a plastic container in which a part of the wall (4) of the container is constituted by the permeation membrane (5) can be cited. Note that the number of permeation membranes (5) is not particularly limited, and can be two or more.

[0073] As shown in Figure 1 and Figure 2 , the sensor (3) is not particularly limited as long as it is a sensor for measuring the concentration of either of water vapor and carbon dioxide, and a commercially available product can be used. For example, the sensor (3) can be provided on the inner side and the outer side of the container (2a, 2b) respectively, and is not particularly limited, and for example, a water vapor sensor can be provided on the inner side and the outer side of the container (2a, 2b), a carbon dioxide sensor can be provided on the inner side and the outer side of the container (2a, 2b), or both a water vapor sensor and a carbon dioxide sensor can be provided on the inner side of the container (2a, 2b) and both a water vapor sensor and a carbon dioxide sensor can be provided on the outer side of the container (2a, 2b). The container (2a, 2b) can measure the concentration of water vapor and carbon dioxide in the space (6a) formed by the container (2a) and the leaf (8) and the outside air (see Figure 3) or the concentration difference of at least one of water vapor and carbon dioxide between the space (6b) of the container (2b) and the outside air. In addition, the outside sensor (3) can also be present at a position away from the containers (2a, 2b). Furthermore, in the case where the biological information is measured, one outside sensor (3) can be used for a plurality of containers (2a, 2b), or one outside sensor (3) can be used for all containers (2a, 2b). In particular, in the case where a plurality of plant bodies are measured for biological information, it is preferable that the containers (2a, 2b) have a form in which the representative outside sensor (3) is present. Note that, as described above, the sensor (3) can measure the concentration of either one of water vapor or carbon dioxide, and for example, a commercially available gas analyzer can be used. As such a gas analyzer, for example, LI-7000 (manufactured by LI-COR, INC.) or the like can be cited. In addition, as the sensor (3), a leaf temperature sensor that measures the temperature of the surface of the plant leaf (8) can also be used. Thereby, the environmental conditions can be measured from the measured leaf temperature, and in addition, biological information such as the gas diffusion conductance of the leaf, which is a determining factor of the transpiration rate or the carbon dioxide assimilation rate, can be obtained. Note that, the sensor (3) does not need to have the entire sensor device disposed on the inside and outside of the container (2a, 2b), respectively, but only the measurement sensing portion for detecting the concentration of at least one of water vapor and carbon dioxide needs to be disposed on the inside and outside of the container (2a, 2b), respectively. In other words, the sensor (3) can be configured so as to be able to measure the concentration of either one of water vapor and carbon dioxide on the inside and outside of the container (2a, 2b), respectively.

[0074] As shown in Figure 1 and Figure 2 , the wall (4) of the container is not particularly limited as long as it does not allow gas such as water vapor or carbon dioxide to pass through, and for example, glass or plastic or the like can be cited.

[0075] As shown in Figure 1 and Figure 2As shown, the permeation membrane (5) can be appropriately selected to be a membrane that is resistant to water vapor or carbon dioxide. Furthermore, the permeation membrane (5) preferably allows moderate permeability to gases such as water vapor or carbon dioxide, and preferably has multiple pores. For example, a plastic nylon mesh or the like can be used as the permeation membrane (5). This allows for the maintenance of a concentration difference of water vapor or carbon dioxide generated by transpiration or photosynthesis between the interior and exterior of the space (6a) formed by the container (2a) and the leaf (8), or between the interior and exterior of the space (6b) of the container (2b), suitable for measuring the biological information of the plant leaf (8), and enabling communication between the plant leaf (8) and the outside air. In particular, since the permeation membrane (5) needs to have a specified resistance to permeation while maintaining communication between the interior and exterior of the containers (2a, 2b), the opening ratio of the permeation membrane (5) with multiple pores is preferably 1% to 50%, more preferably 5% to 50%, and even more preferably 10% to 50%. Additionally, the diffusion conductivity of the permeation membrane (5) for carbon dioxide is preferably 1200 mmol / L. -2 s -1 Hereinafter, the diffusion conductivity of the permeable membrane (5) for water vapor is preferably 1100 mmol / m. -2 s -1 The following applies. In these cases, since the concentration difference of carbon dioxide or water vapor passing through the permeation membrane (5) can be maintained at a large level, the accuracy of the measurement can be improved. It should be noted that since the measurement cannot be performed in these cases where the diffusion conductivity is 0, the lower limit of the diffusion conductivity mentioned above is a value other than 0.

[0076] In this specification, the term "space (6a, 6b, 6c, 6d)" refers to different types of containers (2a, 2b, 2c) or films (11) used. Specifically, in Figure 1 When the container (2a) shown has an opening, the space (6a) refers to, for example, Figure 3 The space shown is formed by the container (2a) and the plant leaves (8). Furthermore, as described later, when using a container (2c) that also has an opening, the space (6c) refers to... Figure 10 (b) shows the space formed by the container (2c) and the plant leaves (8). On the other hand, in such... Figure 2 In the absence of an opening in the container (2b) shown, the space (6b) refers to... Figure 4 The internal space of the container (2b) shown. Additionally, as... Figure 6 In the case of the thin film (11) described later, space (6d) refers to... Figure 7The space formed by the permeable membrane (5), the adhesion layer (12), and the plant leaf (8) is shown in FIG. 6. In such a space (6a, 6b, 6c, 6d), a concentration difference of water vapor or carbon dioxide between the inside and the outside of the space can be maintained by transpiration or photosynthesis of the plant, or the like. Therefore, a transpiration rate or a carbon dioxide assimilation rate, or the like can be calculated from a concentration difference of at least one of water vapor and carbon dioxide between the inside and the outside of the space (6a, 6b, 6c, 6d), and thus biological information of the plant can be measured.

[0077] The kind and the size of the plant (7) to which the biological information measuring device (1) is applied are not particularly limited. In addition, the plant leaf (8) can be either one of unistomatic and bistomatic. For example, as an example in which the plant leaf (8) is unistomatic, grape leaves, lemon leaves, cherry leaves, and the like can be cited, and as an example in which the plant leaf (8) is bistomatic, sunflower leaves, strawberry leaves, and the like can be cited.

[0078] The biological information of the plant measured using the biological information measuring device (1) is not particularly limited, and a transpiration rate, a carbon dioxide assimilation rate, and the like can be cited. The transpiration rate and the carbon dioxide assimilation rate can be indicative of the whole plant or the plant leaf. In addition, the biological information of the plant can be biological information calculated on the basis of the transpiration rate, the carbon dioxide assimilation rate, and the like, and for example, an irrigation condition, a fertilization condition (nutritional state), an aging condition, an environmental stress condition, and the like of the plant can be cited. Note that, in the past, for example, a chlorophyll content of a plant leaf was measured using a chlorophyll meter, and the fertilization condition of the plant was estimated on the basis of the chlorophyll content. On the other hand, in the biological information measuring device (1) according to the present embodiment, the carbon dioxide assimilation rate (A) is measured, and on the basis of the carbon dioxide assimilation rate (A), the fertilization condition of the plant can be estimated, and biological information of the plant including the aging condition and the like can be evaluated.

[0079] Hereinafter, the calculation of biological information of a plant using the biological information measuring device (1) according to the present embodiment will be described. Note that, in this case, the biological information of the plant is assumed to be a transpiration rate and a carbon dioxide assimilation rate of the plant leaf (8), and a model in which the plant leaf (8) is housed in the container (2b) of the biological information measuring device (1) according to the present embodiment will be described with reference to FIG. 6B. Figure 5 First, the water vapor concentration (W ex ) and the carbon dioxide concentration (C ex ) in the space (6b) are measured using the sensor (3) inside the container (2b), and the water vapor concentration (W a ) and the carbon dioxide concentration (C a). Here, although not shown, in the space (6b), there is a state in which water vapor is released from the plant leaf (8) to the inside of the space (6b) by transpiration, and carbon dioxide is taken into the plant leaf (8) from the inside of the space (6b) by photosynthesis. Therefore, according to Fick's first law, the relationship between the transpiration rate (E) and the water vapor concentration difference (W ex -W a ) of the inside and the outside of the space (6b) is represented by the following equation (5).

[0080] [Equation 3]

[0081] s l E = s f [g fw (W ex -W a )+ X fw ] (5)

[0082] In equation (5), S l represents the area of the measured leaf, S f represents the area of the permeable membrane, g fw represents the diffusion conductance of the permeable membrane to water vapor, and X fw represents the interaction between water molecules and carbon dioxide molecules in the permeable membrane.

[0083] Next, in the above equation (5), if the equation is transformed into the value of the transpiration rate (E), the following equation (6) is obtained.

[0084] [Equation 4]

[0085]

[0086] In addition, if the transpiration rate (E) is also expressed as the carbon dioxide assimilation rate (A), the following equation (7) is obtained.

[0087] [Equation 5]

[0088]

[0089] In equation (7), S f represents the area of the permeable membrane, S l represents the area of the measured leaf, g fc represents the diffusion conductance of the permeable membrane to carbon dioxide, and X fc represents the interaction between water molecules and carbon dioxide molecules in the permeable membrane.

[0090] On the other hand, X fw and X fc can be respectively estimated by the following equations (8) and (9).

[0091] [Equation 6]

[0092] X fw = 0.5E(W ex +W a ) (8)

[0093] X fc = 0.5E(C a +C ex ) (9)

[0094] Further, in the case where the influence of X fw and X fc is small to the extent of being negligible, the above equation (6) and the above equation (7) are simplified to the following equations (10) and (11).

[0095] [Num 7]

[0096]

[0097] In addition, in the case where the area (S f ) of the permeation membrane is the same as the area (S l ) of the plant leaf to be measured, the above equation (10) and the above equation (11) are simplified to the following equations (12) and (13).

[0098] [Num 8]

[0099] E = g fw (W ex -W a ) (12)

[0100] A = g fc (C a -C ex ) (13)

[0101] Therefore, the transpiration rate (E) of the plant leaf (8) can be calculated, for example, by the above equation (12). More specifically, the transpiration rate (E) can be calculated by taking the product of the reciprocal of the diffusion resistance of the permeation membrane (5) to water vapor, i.e., the diffusion conductance (g fw ), and the water vapor concentration difference (W ex -W a ) between the inside and the outside of the space (6b) of the container (2b). Note that the "diffusion conductance (g)" in the present specification refers to the ease or difficulty of molecular diffusion in a certain system, and is expressed by the reciprocal of the diffusion resistance. In addition, the transpiration rate (E) of the plant leaf (8) can be calculated by the above equation (6) or the above equation (10). Note that the diffusion conductance (g fw ) that characterizes the ease or difficulty of diffusion of water vapor by the permeation membrane (5) can employ a value corrected by an existing measurement method.

[0102] Further, the carbon dioxide assimilation rate (A) of the plant leaf (8) can be calculated, for example, by the above-described formula (13). More specifically, the carbon dioxide assimilation rate (A) can be calculated by the product of the reciprocal of the diffusion resistance of the permeable membrane (5) to carbon dioxide, that is, the diffusion conductance (g fc ) and the difference (C a -C ex ) in the carbon dioxide concentration between the inside and the outside of the space (6b) of the container (2b). Further, the carbon dioxide assimilation rate (A) of the plant leaf (8) can be calculated by the above-described formula (7) or the above-described formula (11). Note that the diffusion conductance (g fc ) representing the ease or difficulty of the permeable membrane (5) to carbon dioxide can be a value corrected by an existing measurement method.

[0103] Note that in the present specification, although the calculation of the transpiration rate (E) and the carbon dioxide assimilation rate (A) of the plant leaf (8) when the container (2a) of the biological information measuring device (1) has an opening is not particularly described in detail, it can be calculated by the same formula as the above-described formula (5) to formula (13). Note that the treatment of the space (6a) at this time is in accordance with the above-described definition.

[0104] In the present embodiment, the biological information measuring device (1) can further include a computer (not shown). As such a computer, a computer capable of calculating at least one of the transpiration rate and the carbon dioxide assimilation rate of the plant leaf (8) from the difference in the concentration of at least either of water vapor and carbon dioxide inside and outside the container (2a, 2b, 2c) and the permeation resistance of the permeable membrane (5) is preferable.

[0105] In the present embodiment, the biological information measuring device (1) can further be provided with a wireless communication machine (not shown). For example, if the biological information measuring device (1) is provided with a wireless communication machine, the transmission and reception of measurement data can be performed, and the biological information of the plants in the cultivation site can be managed uniformly using a management terminal or the like.

[0106] In the present embodiment, the biological information measuring device (1) can further be provided with a display portion (not shown). For example, if the biological information measuring device (1) is provided with a display portion, the measurement results of the biological information of the plants or the like can be displayed.

[0107] In the present embodiment, the biological information measuring device (1) can further optionally be provided with a structure effective for the measurement of the biological information of the plants. Such a structure can be appropriately used as long as it is a structure commonly used by those skilled in the art, and for example, a fan or the like that stirs the air inside the space (6a, 6b) can be cited.

[0108] According to Figure 1The biological information measuring device (1) shown is capable of measuring the concentration of at least either of water vapor and carbon dioxide in the air inside and outside the space (6a) using the sensors (3) provided on the inside and outside of the container (2a) by covering a part of the plant leaf (8) with the container (2a) to form the space (6a) from the container (2a) and the leaf (8) (refer to Figure 3 ). The concentration of at least either of water vapor and carbon dioxide thus measured can be used to calculate the biological information of the plant body based on the permeation resistance of the permeation membrane (5). Therefore, in the biological information measuring device (1) according to the present embodiment, it is not necessary to acquire the air flow rate inside the container (2a) or to use a gas flow rate control device in order to measure the biological information. In addition, since a part of the wall (4) constituting the container (2a) is the permeation membrane (5) and the air inside the space (6a) communicates with the outside air via the permeation membrane (5), it is not necessary to worry about the saturation of water vapor or the depletion of carbon dioxide in the air inside the space (6a). Therefore, the biological information measuring device (1) according to the present embodiment is capable of measuring the biological information of the plant body easily and continuously.

[0109] In addition, the biological information measuring device (1) shown according to Figure 2 is capable of covering the entire plant leaf (8) or the entire plant body (not shown) with the container (2b) and measuring the concentration of at least either of water vapor and carbon dioxide in the air inside the space (6b) of the container (2b) and outside the space using the sensors (3) provided on the inside and outside of the container (2b) (refer to Figure 4 ). The concentration of at least either of water vapor and carbon dioxide thus measured can be used to calculate the biological information of the plant body based on the permeation resistance of the permeation membrane (5). Therefore, the biological information measuring device (1) according to the present embodiment is capable of measuring the biological information of the plant body easily and continuously.

[0110] The method of manufacturing the biological information measuring device (1) according to the present embodiment is not particularly limited and, for example, the device can be manufactured by preparing the container (2a, 2b), replacing a part of the wall (4) of the container (2a, 2b) with the permeation membrane (5), and further fixing the sensors (3) on the inside and outside of the container (2a, 2b). However, the manufacturing method is not limited to this example.

[0111] The preferable use example of the biological information measuring device (1) according to the present embodiment is described in detail in the measurement method of biological information described later. However, the use example is not limited to this.

[0112] Hereinafter, the biological information measuring device (1) according to other embodiments of the present application will be described with reference to Figure 6 and Figure 7 .

[0113] As described above, the biological information measuring device (1) according to the present application is capable of measuring the biological information of a plant body easily and continuously. In addition, the biological information measuring device (1) according to the present application is capable of measuring the biological information of a plant body without using a gas flow rate control device or acquiring the air flow rate inside the container (2a, 2b). Figure 6As shown, in other embodiments of the present invention, the bioinformatic measuring device (1) may be a thin film (11), which includes: a permeable membrane (5) that is resistant to water vapor or carbon dioxide; and a defined area surrounding the surface of the permeable membrane (5) so that the permeable membrane (5) adheres to an adhesion layer (12) on a plant leaf (8) (see reference). Figure 7 ); and a sensor (3) disposed on or outside the aforementioned specified area on the surface of the permeation membrane (5) to measure the concentration of at least one of water vapor and carbon dioxide. It should be noted that, in Figure 6 In the illustration, the bioinformatic measuring device (1) shows a sensor (3) disposed on the surface of the adhesive layer (12) as a sensor within the aforementioned defined area, and a sensor (3) disposed on the surface of the permeation membrane (5) as a sensor outside the aforementioned defined area, but is not limited thereto.

[0114] like Figure 7 As shown, the adhesive layer (12) is used to adhere the permeable membrane (5) to, for example, the surface of a plant leaf (8), thereby forming a space (6d) between the permeable membrane (5), the adhesive layer (12), and the plant leaf (8). The type of adhesive layer (12) is not particularly limited as long as it performs the functions described above. Furthermore, the adhesive layer (12) may also have a protective layer (not shown) to protect the adhesive force of the adhesive layer (12) before it adheres to the plant leaf (8).

[0115] like Figure 7 As shown, the calculation of biological information of plants, such as transpiration rate (E) or carbon dioxide assimilation rate (A), using the bioinformatic measuring device (1) of this embodiment can be performed in the same way as in the case of the container (2a) described above. Therefore, the calculation of biological information is not described in detail in this embodiment.

[0116] In this embodiment, the bioinformatic measuring device (1) may further include a computer (not shown). Preferably, such a computer is capable of calculating at least one of the transpiration rate and carbon dioxide assimilation rate of the plant leaf (8) based on the concentration difference of at least one of water vapor and carbon dioxide in the space (6d) formed by the permeation membrane (5), the adhesion layer (12) and the plant leaf (8) within a defined area of ​​the permeation membrane (5) and outside the space, as well as the permeability of the permeation membrane (5).

[0117] according to Figure 6 The bioinformatic measuring device (1) shown can form a space (6d) by adhering an adhesive layer (12) disposed in a predetermined area surrounding the surface of the permeable membrane (5) to a plant leaf (8). (Refer to) Figure 7Using sensors (3) disposed on the surface of the permeation membrane (5) within and outside the aforementioned designated area, the concentration of at least one of water vapor and carbon dioxide in the air inside and outside the space (6d) is measured. The measured concentration of at least one of water vapor and carbon dioxide can be used to calculate the bioinformation of the plant based on the permeability of the permeation membrane (5). Therefore, in the bioinformation measuring device (1) according to this embodiment, it is not necessary to obtain the air flow rate in the space (6d) or use a gas flow control device for measuring bioinformation. In addition, since the air inside the space (6d) is connected to the outside air through the permeation membrane (5), there is no need to worry about water vapor saturation or carbon dioxide depletion in the air inside the space (6d). Therefore, by using the bioinformation measuring device (1) according to this embodiment, the bioinformation of the plant can be measured easily and continuously.

[0118] The manufacturing method of the bioinformatic measuring device (1) involved in this embodiment is not particularly limited. For example, it can be manufactured as follows: a permeable membrane (5) is prepared, an adhesive layer (12) is attached to a predetermined area surrounding the surface of the permeable membrane (5), and the sensor (3) is fixed in and out of the predetermined area. However, this manufacturing example is not limited to this one.

[0119] A preferred example of the bioinformatics measuring device (1) described in this embodiment will be detailed in the bioinformatics measuring method described later. However, it is not limited to such an example of use.

[0120] <Methods for Measuring Bioinformatics>

[0121] The following is for reference Figures 8-11 The present invention will describe a method for measuring bioinformation according to one embodiment of the present invention.

[0122] One embodiment of the present invention relates to a method for measuring bioinformation, comprising the following steps:

[0123] The steps of covering at least a portion of a plant leaf (8) with a container (2a, 2b) consisting of at least a portion of a permeable membrane (5) that is resistant to water vapor or carbon dioxide to form a space (6a) by the container (2a) and the leaf (8), or storing the plant leaf (8) in the space (6b) of the container (2b);

[0124] The steps of determining the concentration of at least one of water vapor and carbon dioxide inside and outside the spaces (6a, 6b); and

[0125] The step of calculating at least one of the transpiration rate and carbon dioxide assimilation rate of plant leaves (8) based on the measured concentration difference between the interior and exterior of at least one of water vapor and carbon dioxide in spaces (6a, 6b) and the permeability resistance of the permeable membrane (5).

[0126] In the bioinformatics measurement method of this embodiment, the container (2a, 2b), sensor (3), container wall (4), permeable membrane (5), space (6a, 6b), plant (7), and calculation of plant bioinformatics are as described above and are not particularly detailed. In addition, in the bioinformatics measurement method of this embodiment, a bioinformatics measuring device (1) equipped with the above-described container (2a, 2b) can be appropriately used.

[0127] One embodiment of the present invention relates to a method for measuring bioinformation, which may further include the following steps.

[0128] The step of further covering the back side of the plant leaves (8) covered by the container (2a) with a gas barrier membrane (10) (see reference) Figure 9 Alternatively, another container (2c) consisting of at least a portion of a permeable membrane (5) resistant to water vapor or carbon dioxide can be used to cover the back of the plant leaf (8), further forming a space (6c) between the other container (2c) and the back of the leaf (8) (see step [reference]). Figure 10 ).

[0129] like Figure 9 As shown in (a) and (b), as a gas barrier membrane (10), a non-porous plastic film can be used, for example, Propafilm (registered trademark).

[0130] like Figure 10 As shown in (b), other containers (2c) can be used, for example, the bioinformatic measuring device (1) described above, or a container equipped with a leaf temperature sensor (not shown).

[0131] If the above steps are further included in this embodiment, the plant's biological information can also be measured even when the plant leaf (8) is bifacially stomatal. Specifically, as Figure 9 As shown in (a) and (b), a gas barrier membrane (10) is used to cover the stomata on the dorsal side of the plant leaf (8) to prevent the release of water vapor generated by transpiration from the stomata on the dorsal side of the plant leaf (8) or the intake of carbon dioxide caused by photosynthesis, or as... Figure 10 As shown in (a) and (b), the stomata on the dorsal side of the plant leaf (8) are covered by a container (2c) consisting of at least a portion of a permeable membrane (5), thereby enabling the determination of bioinformation originating from the stomata on the dorsal side of the plant leaf (8).

[0132] The following is a detailed description of an example of measuring bioinformation related to this embodiment. For example, when the plant leaf (8) is unilaterally stomatal, such as Figure 8The bioinformation was measured as shown in (a) and (b). First, a container (2a) was prepared, at least a portion of which was constructed of a permeable membrane (5) resistant to water vapor or carbon dioxide and had an opening. Sensors (3) were installed on the inner and outer sides of the container (2a), respectively. Next, the opening of the prepared container (2a) was used to cover a portion of the back of the plant leaf (8) on the side where the stomata are located, forming a space (6a) between the container (2a) and the leaf (8). Then, the concentration difference of at least one of water vapor and carbon dioxide inside and outside the space (6a) was measured using the sensor (3). Finally, based on the measured concentration difference of water vapor or carbon dioxide and the permeability, at least one of the transpiration rate (E) and carbon dioxide assimilation rate (A) of the plant leaf (8) was calculated to determine the plant's bioinformation.

[0133] Other examples of measuring bioinformation involved in this embodiment will be specifically described. For example, in the case where the plant leaf (8) is bistomoporous, such as Figure 9 The bioinformation was measured as shown in (a) and (b). First, a container (2a) was prepared, at least a portion of which was constructed of a permeable membrane (5) resistant to water vapor or carbon dioxide and had an opening. Sensors (3) were installed on the inner and outer sides of the container (2a), respectively. Next, a portion of one side of a plant leaf (8) was covered through the opening of the prepared container (2a), forming a space (6a) between the container (2a) and the leaf (8). Furthermore, a portion of the other side of the plant leaf (8) covered by the container (2a) was further covered using a gas-barrier membrane (10). This prevented the loss of water vapor or carbon dioxide due to transpiration or photosynthesis from the other side of the plant leaf (8). Then, the concentration difference between at least one of water vapor and carbon dioxide inside and outside the space (6a) was measured. Finally, based on the measured concentration difference of water vapor or carbon dioxide and the permeability, at least one of the transpiration rate (E) and carbon dioxide assimilation rate (A) of the plant leaf (8) was calculated, and the plant's bioinformation was measured.

[0134] Additionally, for example, when the leaf blade (8) is bifocal, it can also be like... Figure 10(a) and (b) show the determination of biological information. First, containers (2a, 2c) are prepared, at least a portion of which is made of a permeable membrane (5) resistant to water vapor or carbon dioxide and has an opening. Sensors (3) are installed on the inner and outer sides of container (2a) respectively, and on the inner side of container (2c). Next, a portion of one side of a plant leaf (8) is covered by the opening of the prepared container (2a), forming a space (6a) between the container (2a) and the leaf (8). Then, a portion of the other side of the plant leaf (8) covered by the prepared container (2a) is covered by the opening of the prepared container (2c), forming a space (6c) between the container (2c) and the leaf (8). This prevents the loss of water vapor or carbon dioxide caused by transpiration or photosynthesis from the other side of the plant leaf (8). Then, the concentration difference of at least one of water vapor and carbon dioxide is measured inside and outside one of the spaces, namely, space (6a) and space (6c). It should be noted that, although not particularly limited, the concentration of at least one of water vapor and carbon dioxide outside space (6c) can be obtained by the sensor (3) on the outside of container (2a). Finally, based on the measured concentration difference of water vapor or carbon dioxide and osmotic resistance, at least one of the transpiration rate (E) and carbon dioxide assimilation rate (A) of the plant leaves (8) is calculated to determine the plant's biological information.

[0135] Furthermore, other examples of the measurement of bioinformation involved in this embodiment will be specifically described. In this measurement example, such as Figure 11 The bioinformatics measurements shown in (a) and (b) are applicable to cases where plant leaves (8) are either unifacial or bifacial. First, a container (2b) is prepared, at least a portion of which is composed of a permeable membrane (5) resistant to water vapor or carbon dioxide. Figure 11 (a) Not shown in the diagram) and without an opening, sensors (3) are installed on the inside and outside of the container (2b). Next, the plant leaves (8) are placed in the space (6b) of the prepared container (2b). At this time, it is more suitable if a part of the wall (4) of the container (2b) is designed to be openable and closable, so that the plant leaves (8) can be easily placed. In addition, although not shown in the diagram, it is preferable to use a sealing element or the like so that the space (6b) is not directly connected to the outside air due to the plant stem (9) during placement. Then, the concentration difference of at least one of water vapor and carbon dioxide inside and outside the space (6b) of the container (2b) is measured. Finally, based on the measured concentration difference of water vapor or carbon dioxide and the osmotic resistance, at least one of the transpiration rate (E) and carbon dioxide assimilation rate (A) of the plant leaves (8) is calculated to determine the plant's biological information.

[0136] It should be noted that the determination of the concentration of at least one of water vapor and carbon dioxide in the air outside the aforementioned spaces (6a, 6b, 6c) is not limited to the method of installing a sensor (3) on the outside of the containers (2a, 2b, 2c). For example, the outside sensor (3) can also be set at a position away from the containers (2a, 2b, 2c) and the determination can be performed using the outside sensor (3). In addition, when measuring the bioinformation of multiple plants at the same time, one outside sensor (3) can be used for multiple containers (2a, 2b, 2c), or one outside sensor (3) can be used for all containers (2a, 2b, 2c).

[0137] That is, according to the bioinformatics measurement method of this embodiment, by covering a portion of a plant leaf (8) with a container (2a) to form a space (6a) with the container (2a) and the leaf (8), the concentration of at least one of water vapor and carbon dioxide inside and outside the space (6a) can be measured. The concentration of at least one of water vapor and carbon dioxide measured therefrom can be used to calculate the bioinformatics of the plant based on the permeability of the permeation membrane (5) to water vapor or carbon dioxide. Therefore, in the bioinformatics measurement method of this embodiment, it is not necessary to obtain the air flow rate inside the container (2a) or use a gas flow control device for measuring bioinformatics. In addition, since a portion of the wall (4) constituting the container (2a) is a permeation membrane (5), the air inside the space (6a) is connected to the outside air through the permeation membrane (5), so there is no need to worry about water vapor saturation or carbon dioxide depletion in the air inside the space (6a). Therefore, by using the bioinformatics measurement method of this embodiment, the bioinformatics of the plant can be measured simply and continuously.

[0138] Furthermore, according to the bioinformatics measurement method of this embodiment, even when the entire plant leaf (8) or the entire plant body (not shown) is covered by a container (2b), the concentration of at least one of water vapor and carbon dioxide inside and outside the space (6b) of the container (2b) can be measured. The measured concentration of water vapor or carbon dioxide can then be used to calculate the bioinformatics of the plant body based on the permeability of the permeable membrane (5). Therefore, by employing the bioinformatics measurement method of this embodiment, the bioinformatics of the plant body can be measured simply and continuously.

[0139] The following describes other embodiments of the present invention involving methods for measuring bioinformation.

[0140] Although not illustrated, other embodiments of the present invention may include the following steps in the method for measuring bioinformation.

[0141] The step of using a thin film (11) consisting of a permeable membrane (5) that is resistant to water vapor or carbon dioxide and an adhesive layer (12) provided in a specified area surrounding the surface of the permeable membrane (5), to adhere the adhesive layer (12) of the thin film (11) to at least a portion of a plant leaf (8), and forming a space (6d) between the thin film (11) and the leaf (8) in the specified area of ​​the thin film (11);

[0142] The steps of determining the concentration of at least one of water vapor and carbon dioxide inside and outside the space (6d); and

[0143] The step of calculating at least one of the transpiration rate and carbon dioxide assimilation rate of plant leaves (8) based on the measured concentration difference of at least one of water vapor and carbon dioxide inside and outside the space (6d) and the aforementioned osmotic resistance.

[0144] In the bioinformatics measurement method of this embodiment, the sensor (3), permeable membrane (5), space (6d), plant (7), membrane (11), adhesion layer (12), and calculation of plant bioinformatics are described as above and are not specifically detailed. In addition, in the bioinformatics measurement method of this embodiment, a bioinformatics measuring device (1) equipped with the above-described membrane (11) can be appropriately used.

[0145] The bioinformatics measurement method described in this embodiment may further include the following steps.

[0146] The step of further covering the back side of the plant leaf (8) covered by the film (11) with a gas barrier membrane (10); or using another film (11) consisting of a permeable membrane (5) that is resistant to water vapor or carbon dioxide and an adhesive layer (12) provided on a specified area surrounding the surface of the permeable membrane (5), so that the adhesive layer (12) of the other film (11) is adhered to the back side of the plant leaf (8), and a space is further formed by the other film (11) and the back side of the leaf (8) in the aforementioned specified area of ​​the other film (11).

[0147] Therefore, the biological information of plants can also be measured for bistomosing plant leaves (8).

[0148] It should be noted that the determination of the concentration of at least one of water vapor and carbon dioxide in the air outside the space (6d) is not limited to the method of using a sensor (3) located outside a specified area on the surface of the permeation membrane (5). For example, an external sensor (3) can also be set at a position away from the membrane (11) and the determination can be performed using the external sensor (3). In addition, when measuring the bioinformation of multiple plants at the same time, one external sensor (3) can be used for multiple membranes (11), or one external sensor (3) can be used for all membranes (11).

[0149] According to the method for measuring plant bioinformation of this embodiment, by adhering an adhesion layer (12) disposed on a predetermined area surrounding the surface of a permeable membrane (5) in a thin film to a plant leaf (8) to form a space (6d) by the thin film (11) and the leaf (8), the concentration of at least one of water vapor and carbon dioxide inside and outside the space (6d) can be measured. The concentration of at least one of water vapor and carbon dioxide measured therefrom can be used to calculate the bioinformation of the plant based on the permeability of the permeable membrane (5) to water vapor or carbon dioxide. Therefore, in the method for measuring bioinformation of this embodiment, it is not necessary to obtain the air flow rate of the space (6d) or use a gas flow control device for measuring bioinformation. In addition, since the air inside the space (6d) is connected to the outside air through the permeable membrane (5), there is no need to worry about water vapor saturation or carbon dioxide depletion in the air inside the space (6d). Therefore, by using the method for measuring bioinformation of this embodiment, the bioinformation of the plant can be measured simply and continuously.

[0150] [Example]

[0151] The following are embodiments for a detailed description of the bioinformatics measuring device and bioinformatics measuring method of the present invention. Specifically, in this embodiment, in order to simultaneously evaluate and compare the conventional ventilated measuring method and the measuring method of the present invention, the measuring device is manufactured as follows.

[0152] (Material)

[0153] The materials used to fabricate the bioinformatics measuring device are shown below. The container is made of machined acrylic sheet (self-made), and the gas permeation membranes are made of the following six types: nylon mesh 508 / 585 (pore size 5μm, aperture ratio 2%, wire diameter 30 / 38μm), nylon mesh 508 / 560 (pore size 10μm, aperture ratio 4%, wire diameter 30 / 38μm), nylon mesh 520 / 560 (pore size 12μm, aperture ratio 11%, wire diameter 30μm), nylon mesh 508 (pore size 20μm, aperture ratio 16%, wire diameter 30μm), nylon mesh 330 (pore size 40μm, aperture ratio 26%, wire diameter 38μm), and nylon mesh 254 (pore size 70μm, aperture ratio 49%, wire diameter 30μm). In addition, the air pump uses a microblower MZB1001T02 (manufactured by Murata Manufacturing Co., Ltd.), and the gas barrier membrane uses Propafilm (manufactured by INNOVIA FILMS LTD.).

[0154] (Bioinformatics measuring device)

[0155] A bioinformatics analyzer is fabricated, comprising a processed acrylic plate as a container, a LI-7000 gas analyzer, and at least a portion of the acrylic wall constituting the container being made of any of the aforementioned nylon mesh, i.e., a permeable membrane. The bioinformatics analyzer also includes a miniature fan MZB1001T02 serving as an air pump. Alternatively, using a LI-6800 (manufactured by LI-COR, INC.) as a ventilated gas exchange measuring device, the bioinformatics analyzer and the ventilated gas exchange measuring device are assembled into a single device to fabricate the bioinformatics analyzer. Figure 12 This is a schematic diagram showing the bioinformatics measuring device.

[0156] (The permeability of the membrane)

[0157] It should be noted that the nylon mesh used as the permeation membrane has a diffusion conductivity (g) for water vapor. fw ) and the diffusion conductivity of the permeable membrane for carbon dioxide (g fc Corrections were made according to each embodiment. Specific details are described in each embodiment.

[0158] (Example 1-1)

[0159] Using the aforementioned bioinformatics measuring instrument, the transpiration rate (E) and carbon dioxide assimilation rate (A) of plant leaves were measured as follows. First, grape, lemon, and cherry were used as plants. These plants all have unilateral stomatal cells with stomata only on the underside of the leaf. Next, a portion of the underside of each grape, lemon, and cherry leaf was covered through the measuring port of the bioinformatics measuring instrument, and then an accessory LI-6800-02 (manufactured by LI-COR, INC.) for the LI-6800 chamber was placed overlapping the top side of the bioinformatics measuring instrument as a light source. It should be noted that a nylon mesh 520 / 560 was used for the gas permeation membrane in the grape and lemon leaves, and a nylon mesh 508 / 585 was used in the cherry leaves. Additionally, a container equipped with a leaf temperature sensor was used to cover the surface of the leaves. Then, the temperature was measured at a C... r =500μmolmol -1 In this case, while using LI-6800-02 to change the photosynthetically active radiation (hereinafter also referred to as "PAR (μmolm)" generated by the mixing of two wavelengths of LED (blue (453nm peak) and red (660nm peak)). -2 s -1 While measuring the water vapor concentration (W) at the inlet of the ventilated bioinformatics analyzer. r ) and outlet water vapor concentration (W s ), and the inlet carbon dioxide concentration (C r ) and the carbon dioxide concentration at the outlet (C s ), and measure the inlet airflow (μ) r According to the following formulas (14) and (15), the transpiration rate (hereinafter also referred to as "E") obtained by the ventilation method is calculated. STD ") and the carbon dioxide assimilation rate obtained by ventilation measurement (hereinafter also referred to as "A") STD ”) (refer to Figure 24 (The model shown).

[0160] [Number 9]

[0161]

[0162] In equations (14) and (15), S l This indicates the area of ​​the blade.

[0163] It should be noted that in this embodiment, S l S represents the area of ​​the leaf blade covering the mouth of the measurement. l =9cm 2 .

[0164] In addition, PAR = 800 μmolm was used. -2 s -1 E measured at time STD and ASTD Based on the relationship between equations (12) and (13), and according to equations (16) and (17), the diffusion conductivity (g) of the permeable membrane for water vapor is estimated. fw ) and the diffusion conductivity of the permeable membrane for carbon dioxide (g fc ).

[0165] [Number 10]

[0166]

[0167] In addition to the above-mentioned ventilation-type measurement, the following measurement was performed using the measurement method described in this invention: that is, the difference in water vapor concentration (W) between the inside and outside of the space formed by the container and leaf of the bioinformatic measuring device was measured. ex -W a ) and carbon dioxide concentration difference (C a -C ex ), and used as described above at PAR = 800 μmolm -2 s -1 And C r =500μmolmol -1 Corrected diffusion conductivity of water vapor (g) under the given conditions fw ) and diffusion conductivity for carbon dioxide (g fc According to equations (12) and (13) above, the transpiration rate (hereinafter also referred to as "E") obtained by the measurement described in this invention is calculated. NEW The carbon dioxide assimilation rate (hereinafter also referred to as "A") obtained by measurement as described in this invention NEW ”).

[0168] Next, at a fixed PAR = 800 μmol / m -2 s -1 In this case, control C r Change the carbon dioxide concentration inside the container (hereinafter also referred to as "C"). s (μmolmol -1 Meanwhile, the transpiration rate (E) obtained by ventilation measurement was calculated as described above. STD ) and carbon dioxide assimilation rate (A STD Additionally, using C... r =500μmolmol -1 E measured at time STD and A STD Based on equations (16) and (17) above, the diffusion conductivity (g) of the permeable membrane for water vapor is estimated. fw ) and diffusion conductivity for carbon dioxide (g fc ).

[0169] In addition, the water vapor concentration difference (W) between the inside and outside of the space formed by the container and leaves of the bioinformatic measuring device was measured. ex -W a ) and carbon dioxide concentration difference (C a -C ex ), and used as described above at PAR = 800 μmol / m -2 s -1 And C r =500μmolmol -1 Corrected diffusion conductivity of water vapor (g) under the given conditions fw ) and diffusion conductivity for carbon dioxide (g fc ), and calculate the transpiration rate (E) obtained by the measurement described in this invention. NEW ) and carbon dioxide assimilation rate (A NEW ).

[0170] The measurement results are shown in Figure 13 middle, Figure 13 (a) represents the transpiration rate (E) of grape leaves, lemon leaves, and cherry leaves. NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD ) photoresponsivity, Figure 13 (b) represents the transpiration rate (E) of grape leaves, lemon leaves, and cherry leaves. NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD The carbon dioxide responsiveness of ( ). It should be noted that, in Figure 13 In (a) and (b), the result obtained by the determination method described in this invention is indicated by ■ (E). NEW A NEW ), where ● indicates the result obtained using the traditional ventilation measurement method (E STD A STD ).

[0171] (Examples 1-2)

[0172] Using the aforementioned bioinformatics measuring instrument, the transpiration rate (E) and carbon dioxide assimilation rate (A) of plant leaves were measured as follows. First, grapes were used as the plant. As mentioned above, grape leaves are unilaterally stomatal. Next, a leaf temperature sensor was attached to the underside of the grape leaf, and a portion of the underside of the grape leaf, including the leaf temperature sensor, was covered through the measuring port of the bioinformatics measuring instrument. Additionally, an accessory LI-6800-02 (manufactured by LI-COR, INC.) of the LI-6800 chamber was placed on the surface of the grape leaf as a light source. It should be noted that the gas permeation membrane was made of nylon mesh 520 / 560. Next, the transpiration rate (E) and carbon dioxide assimilation rate (A) of the plant leaves were measured using a bioinformatics measuring instrument fixed to C…r =500μmolmol -1 In this case, while using LI-6800-02 to change the PAR (μmol / m²) generated by an LED that mixes blue (453nm peak) and red (660nm peak) wavelengths, -2 s -1 While measuring the water vapor concentration (W) at the inlet of the ventilated bioinformatics analyzer. r ) and outlet water vapor concentration (W s ), and the inlet carbon dioxide concentration (C r ) and the carbon dioxide concentration at the outlet (C s ), and measure the inlet airflow (μ) r According to equations (14) and (15) above, the transpiration rate (E) obtained by the ventilation method is calculated. STD ) and carbon dioxide assimilation rate (A STD It should be noted that, in this embodiment, S l S represents the area of ​​the leaf blade covering the mouth of the measurement. l =9cm 2 Additionally, based on PAR = 800 μmol / m -2 s -1 E measured at time STD and A STD Based on equations (16) and (17) above, the diffusion conductivity (g) of the permeable membrane for water vapor is estimated. fw ) and diffusion conductivity for carbon dioxide (g fc ).

[0173] In addition to the above-mentioned ventilation-type measurement, the following measurement was performed using the measurement method described in this invention: that is, the difference in water vapor concentration (W) between the inside and outside of the space formed by the container and leaf of the bioinformatic measuring device was measured. ex -W a ) and carbon dioxide concentration difference (C a -C ex ), and used as described above at PAR = 800 μmol / m -2 s -1 And C r =500μmolmol -1 Corrected diffusion conductivity of water vapor (g) under the given conditions fw ) and diffusion conductivity for carbon dioxide (g fc According to equations (12) and (13) above, the transpiration rate (E) obtained by the measurement described in this invention is calculated. NEW ) and carbon dioxide assimilation rate (A NEW ).

[0174] The measurement results are shown inFigure 14 middle, Figure 14 The transpiration rate of grape leaves (E) NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD The photoresponsibility of ) should be noted. Figure 14 In the figure, ■ represents the result obtained by the measurement method described in this invention (E). NEW A NEW ), where ● indicates the result obtained using the traditional ventilation measurement method (E STD A STD ).

[0175] (Examples 1-3)

[0176] Using the aforementioned bioinformatics measuring instrument, the transpiration rate (E) and carbon dioxide assimilation rate (A) of plant leaves were measured as follows. First, a sunflower was used as the plant. Sunflower leaves are bistomoporous. Next, a portion of the sunflower leaf surface was covered through the measuring port of the bioinformatics measuring instrument, and an accessory LI-6800-02 (manufactured by LI-COR, INC.) of the LI-6800 chamber was placed overlapping the top side of the bioinformatics measuring instrument as a light source. It should be noted that the gas permeation membrane was made of 520 / 560 nylon mesh. Additionally, the underside of the leaf was covered by a container equipped with a leaf temperature sensor. Then, the temperature was measured at C... r =500μmolmol -1 In this case, while using LI-6800-02 to change the PAR (μmol / m²) generated by an LED that mixes blue (453nm peak) and red (660nm peak) wavelengths, -2 s -1 While measuring the water vapor concentration (W) at the inlet of the ventilated bioinformatics analyzer. r ) and outlet water vapor concentration (W s ), and the inlet carbon dioxide concentration (C r ) and the carbon dioxide concentration at the outlet (C s ), and measure the inlet airflow (μ) r According to equations (14) and (15) above, the transpiration rate (E) obtained by the ventilation method is calculated. STD ) and carbon dioxide assimilation rate (A STD It should be noted that in this embodiment, S l S represents the area of ​​the leaf blade covering the mouth of the measurement. l =9cm 2 Additionally, based on PAR = 800 μmol / m -2 s -1 E measured at time STD and ASTD Based on equations (16) and (17) above, the diffusion conductivity (g) of the permeable membrane for water vapor is estimated. fw ) and diffusion conductivity for carbon dioxide (g fc ).

[0177] In addition to the above-mentioned ventilation-type measurement, the following measurement was performed using the measurement method described in this invention: that is, the difference in water vapor concentration (W) between the inside and outside of the space formed by the container and leaf of the bioinformatic measuring device was measured. ex -W a ) and carbon dioxide concentration difference (C a -C ex ), and used as described above at PAR = 800 μmolm -2 s -1 And C r =500μmolmol -1 Corrected diffusion conductivity of water vapor (g) under the given conditions fw ) and diffusion conductivity for carbon dioxide (g fc According to equations (12) and (13) above, the transpiration rate (E) obtained by the measurement described in this invention is calculated. NEW ) and carbon dioxide assimilation rate (A NEW ).

[0178] Next, at a fixed PAR = 800 μmol / m -2 s -1 In this case, control C r Change the carbon dioxide concentration (C) inside the container s (μmolmol -1 Meanwhile, the transpiration rate (E) obtained by ventilation measurement was calculated as described above. STD ) and carbon dioxide assimilation rate (A STD Additionally, according to C r =500μmolmol -1 E measured at time STD and A STD Based on equations (16) and (17) above, the diffusion conductivity (g) of the permeable membrane for water vapor is estimated. fw ) and diffusion conductivity for carbon dioxide (g fc ).

[0179] In addition, the water vapor concentration difference (W) between the inside and outside of the space formed by the container and leaves of the bioinformatic measuring device was measured. ex -W a ) and carbon dioxide concentration difference (C a -C ex ), and used as described above at PAR = 800 μmolm-2 s -1 And C r =500μmolmol -1 Conditionally corrected diffusion conductivity of water vapor (g) fw ) and diffusion conductivity for carbon dioxide (g fc According to equations (12) and (13) above, the transpiration rate (E) obtained by the measurement described in this invention is calculated. NEW ) and carbon dioxide assimilation rate (A NEW ).

[0180] The measurement results are shown in Figure 15 middle, Figure 15 (a) represents the transpiration rate of sunflower leaves (E NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD ) photoresponsivity, Figure 15 (b) represents the transpiration rate of sunflower leaves (E NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD The carbon dioxide responsiveness of [the substance / object]. It should be noted that... Figure 15 In the figure, ■ represents the result obtained by the measurement method described in this invention (E). NEW A NEW ), where ● indicates the result obtained using the traditional ventilation measurement method (E STD A STD ).

[0181] (Examples 1-4)

[0182] Using the aforementioned bioinformatics measuring instrument, the transpiration rate (E) and carbon dioxide assimilation rate (A) of plant leaves were measured as follows. First, strawberry and sunflower were used as plants. Strawberry leaves are bistomoporous, and sunflower leaves are also bistomoporous as described above. Next, a leaf temperature sensor was attached to the back of the leaf, and a portion of the back of the strawberry or sunflower leaf, including the leaf temperature sensor, was covered through the measuring port of the bioinformatics measuring instrument. Additionally, an accessory LI-6800-02 (manufactured by LI-COR, INC.) of the LI-6800 chamber was placed on the surface of the leaf as a light source. It should be noted that a nylon mesh 520 / 560 was used for the gas permeation membrane in the strawberry leaf, and a nylon mesh 508 was used in the sunflower. Next, the temperature sensor was attached to the back of the leaf. r =500μmolmol -1 In this case, while using LI-6800-02 to change the PAR (μmol / m²) generated by an LED that mixes blue (453nm peak) and red (660nm peak) wavelengths,-2 s -1 While measuring the water vapor concentration (W) at the inlet of the ventilated bioinformatics analyzer. r ) and outlet water vapor concentration (W s ), and the inlet carbon dioxide concentration (C r ) and the carbon dioxide concentration at the outlet (C s ), and measure the inlet airflow (μ) r According to equations (14) and (15) above, the transpiration rate (E) obtained by the ventilation method is calculated. STD ) and carbon dioxide assimilation rate (A STD It should be noted that in this embodiment, S l S represents the area of ​​the leaf blade covering the mouth of the measurement. l =9cm 2 Additionally, based on PAR = 800 μmol / m -2 s -1 E measured at time STD and A STD Based on equations (16) and (17) above, the diffusion conductivity (g) of the permeable membrane for water vapor is estimated. fw ) and diffusion conductivity for carbon dioxide (g fc ).

[0183] In addition to the above-mentioned ventilation-type measurement, the following measurement was performed using the measurement method described in this invention: that is, the difference in water vapor concentration (W) between the inside and outside of the space formed by the container and leaf of the bioinformatic measuring device was measured. ex -W a ) and carbon dioxide concentration difference (C a -C ex ), and used as described above at PAR = 800 μmol / m -2 s -1 And C r =500μmolmol -1 Corrected diffusion conductivity of water vapor (g) under the given conditions fw ) and diffusion conductivity for carbon dioxide (g fc According to equations (12) and (13) above, the transpiration rate (E) obtained by the measurement described in this invention is calculated. NEW ) and carbon dioxide assimilation rate (A NEW ).

[0184] The measurement results are shown in Figure 16 middle, Figure 16 This indicates the transpiration rate (E) of strawberry leaves and sunflower leaves. NEW E STD ) and carbon dioxide assimilation rate (A NEW ASTD The photoresponsibility of ( ). It should be noted that Figure 16 In the figure, ■ represents the result obtained by the measurement method described in this invention (E). NEW A NEW ), where ● indicates the result obtained using the traditional ventilation measurement method (E STD A STD ).

[0185] (Example 2)

[0186] Using permeable membranes with different mesh sizes in the aforementioned bioinformatics measuring apparatus, the transpiration rate (E) and carbon dioxide assimilation rate (A) of sunflower leaves were measured as follows. It should be noted that the permeable membranes used were nylon mesh 520 / 260, nylon mesh 508, nylon mesh 330, and nylon mesh 254. Next, a portion of the back side of a biporous sunflower leaf was covered through the measurement port of each bioinformatics measuring apparatus. Additionally, an accessory LI-6800-02 (manufactured by LI-COR, INC.) of the LI-6800 chamber was placed on the surface of the sunflower leaf as a light source. Then, the light was measured on a C... r =500μmolmol -1 In this case, while using LI-6800-02 to change the PAR (μmol / m²) generated by an LED that mixes blue (453nm peak) and red (660nm peak) wavelengths, -2 s -1 While measuring the water vapor concentration (W) at the inlet of the ventilated bioinformatics analyzer. r ) and outlet water vapor concentration (W s ), and the inlet carbon dioxide concentration (C r ) and the carbon dioxide concentration at the outlet (C s ), and measure the inlet airflow (μ) r According to equations (14) and (15) above, the transpiration rate (E) obtained by the ventilation method is calculated. STD ) and carbon dioxide assimilation rate (A STD It should be noted that in this embodiment, S l S represents the area of ​​the leaf blade covering the mouth of the measurement. l =9cm 2 Additionally, based on PAR = 800 μmol / m -2 s -1 E measured at time STD and A STD Based on equations (16) and (17) above, the diffusion conductivity (g) of the permeable membrane for water vapor is estimated. fw ) and diffusion conductivity for carbon dioxide (g fc ).

[0187] In addition to the above-mentioned ventilation-type measurement, the following measurement was performed using the measurement method described in this invention: that is, the difference in water vapor concentration (W) between the inside and outside of the space formed by the container and leaf of the bioinformatic measuring device was measured. ex -W a ) and carbon dioxide concentration difference (C a -C ex ), and used as described above at PAR = 800 μmolm -2 s -1 And C r =500μmolmol -1 Corrected diffusion conductivity of water vapor (g) under the given conditions fw ) and diffusion conductivity for carbon dioxide (g fc According to equations (12) and (13) above, the transpiration rate (E) obtained by the measurement described in this invention is calculated. NEW ) and carbon dioxide assimilation rate (A NEW ).

[0188] Next, at a fixed PAR = 800 μmol / m -2 s -1 In this case, control C r Change the carbon dioxide concentration (C) inside the container s (μmolmol -1 Meanwhile, the transpiration rate (E) obtained by ventilation measurement was calculated as described above. STD ) and carbon dioxide assimilation rate (A STD Additionally, according to C r =500μmolmol -1 E measured at time STD and A STD Based on equations (16) and (17) above, the diffusion conductivity (g) of the permeable membrane for water vapor is estimated. fw ) and diffusion conductivity for carbon dioxide (g fc ).

[0189] In addition, the water vapor concentration difference (W) between the inside and outside of the space formed by the container and leaves of the bioinformatic measuring device was measured. ex -W a ) and carbon dioxide concentration difference (C a -C ex ), and used as described above at PAR = 800 μmolm -2 s -1 And C r =500μmolmol -1 Corrected diffusion conductivity of water vapor (g) under the given conditions fw) and diffusion conductivity for carbon dioxide (g fc According to equations (12) and (13) above, the transpiration rate (E) obtained by the measurement described in this invention is calculated. NEW ) and carbon dioxide assimilation rate (A NEW ).

[0190] The measurement results are shown in Figure 17 middle, Figure 17 (a) Indicates the transpiration rate (E) of sunflower leaves when using osmotic membranes with different mesh sizes. NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD ) photoresponsivity, Figure 17 (b) Indicates the transpiration rate (E) of sunflower leaves when using osmotic membranes with different mesh sizes. NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD The carbon dioxide responsiveness of [the substance / object]. It should be noted that... Figure 17 In the diagram, # indicates the mesh count, and the value within parentheses represents the aperture ratio. Additionally, Figure 17 In the figure, ■ represents the result obtained by the measurement method described in this invention (E). NEW A NEW ), where ● indicates the result obtained using the traditional ventilation measurement method (E STD A STD ).

[0191] (Example 3)

[0192] Using the aforementioned bioinformatics measuring instrument, the transpiration rate (E) and carbon dioxide assimilation rate (A) of sunflower leaves were measured under different temperature conditions as follows. First, a portion of the sunflower leaf surface was covered through the measuring port of the bioinformatics measuring instrument, and then an accessory LI-6800-02 (manufactured by LI-COR, INC.) for the LI-6800 chamber was positioned overlapping the top side of the bioinformatics measuring instrument as a light source. Additionally, the underside of the leaf was covered by a container equipped with a leaf temperature sensor. Next, using the LI-6800-02, photosynthetically active radiation (PAR) of 800 μmol / m² was measured at a wavelength of 800 μmol / m² generated by a dual-wavelength LED consisting of a blue (453 nm peak) and a red (660 nm peak) LED. -2 s -1 C r =500μmolmol -1 In this case, while controlling the temperature of the air supplied to the chamber of the LI-6800 (hereinafter also referred to as "T") air (°C)”) Change the leaf temperature (hereinafter also referred to as “T”) leaf(°C)”), while measuring the water vapor concentration (W) at the inlet of the ventilated bioinformatics analyzer. r ) and outlet water vapor concentration (W s ), and the inlet carbon dioxide concentration (C r ) and the carbon dioxide concentration at the outlet (C s ), and measure the inlet airflow (μ) r According to equations (14) and (15) above, the transpiration rate (E) obtained by the ventilation method is calculated. STD ) and carbon dioxide assimilation rate (A STD Additionally, according to T air E measured at 18℃ STD and A STD According to the above equations (16) and (17), the diffusion conductivity (g) of the permeable membrane for water vapor is measured. fw ) and diffusion conductivity for carbon dioxide (g fc For each T air Repeat the measurement three times. It should be noted that in this embodiment, S... l S represents the area of ​​the leaf blade covering the mouth of the measurement. l =9cm 2 .

[0193] In addition, while changing the leaf temperature (T) leaf While measuring the carbon dioxide concentration difference (C0.05) between the inside and outside of the space formed by the container and leaves of the bioinformatics instrument, the difference in carbon dioxide concentration was measured. a -C ex ), and used the PAR = 800 μmol m as measured above. -2 s -1 And C r =500μmolmol -1 And T air Corrected diffusion conductivity for carbon dioxide at 18℃ (g) fc According to the above formula (13), the carbon dioxide assimilation rate (A) obtained by the measurement described in this invention is calculated. NEW ).

[0194] The measurement results are shown in Figure 18 middle, Figure 18 (a) indicates T air Diffusion conductivity of the bottom osmosis membrane for water vapor (g) fw ) and diffusion conductivity for carbon dioxide (g fc ), Figure 18 (b) indicates T leaf The carbon dioxide assimilation rate (A) NEW A STD A NEW+TEMPIt should be noted that... Figure 18 In the middle, A NEW+TEMP Indicates use Figure 18 (a) shows the linear regression equation for g. fc A during temperature correction NEW .in addition, Figure 18 In (b), ■ denotes the result obtained using the measurement method described in this invention (A). NEW ), where ● indicates the result obtained using the traditional ventilation-type measurement method (A) STD ), where □ represents the result of temperature correction (A) NEW+TEMP ).

[0195] (Example 4)

[0196] Using the aforementioned bioinformatics measuring instrument, the following verification was conducted to confirm whether the rate of carbon dioxide assimilation (A) decreased with the aging of sunflower leaves. It should be noted that the permeation membrane was made of nylon mesh 330. First, a portion of the surface of each sunflower leaf was covered through the measuring port of the bioinformatics measuring instrument, and then an accessory LI-6800-02 (manufactured by LI-COR, INC.) for the LI-6800 chamber was arranged overlapping the top side of the bioinformatics measuring instrument as a light source. Then, photosynthetically active radiation (PAR) of 1600 μmol / m² was generated using a dual-wavelength LED (blue (453 nm peak) and red (660 nm peak) fixed to the LI-6800-02. -2 s -1 C r =500μmolmol -1 The water vapor concentration (W) at the inlet of the ventilated bioinformatics analyzer was measured. r ) and outlet water vapor concentration (W s ), and the inlet carbon dioxide concentration (C r ) and the carbon dioxide concentration at the outlet (C s ), and measure the inlet airflow (μ) r According to the above formula (15), the carbon dioxide assimilation rate (A) obtained by ventilation measurement is calculated. STD The measurement was performed from the new leaves at the top of the sunflower (leaf position = 1) to the older leaves at the bottom (leaf position = 10). It should be noted that in this embodiment, S... l S represents the area of ​​the leaf blade covering the mouth of the measurement. l =9cm 2 .

[0197] Additionally, using the LI-6800-02, a PAR of 1600 μmol / m² was generated from an LED with a dual wavelength mix of blue (453 nm peak) and red (660 nm peak). -2 s -1The carbon dioxide concentration difference (C) between the inside and outside of the space formed by the container and leaves of the bioinformatics instrument was measured under the following conditions. a -C ex The diffusion conductivity (g) of nylon mesh 330 used as a permeation membrane for carbon dioxide was measured. fc According to the above formula (13), the carbon dioxide assimilation rate (A) obtained by the measurement described in this invention is calculated. NEW It should be noted that the g of nylon mesh 330 fc In Example 2, PAR = 800 μmol / m -2 s -1 And C r =500μmolmol -1 The value corrected under the given conditions.

[0198] Furthermore, as a comparison, the SPAD value of each sunflower leaf was determined using a SPAD-502Plus chlorophyll meter (manufactured by KONICA MINOLTA, INC.).

[0199] The measurement results are shown in Figure 19 middle, Figure 19 The left side represents the SPAD value at the leaf position. Figure 19 The right side represents the carbon dioxide assimilation rate at the leaf position (A). NEW A STD It should be noted that... Figure 19 In the right side, the result obtained by the measurement method described in this invention is indicated by ■ (A) NEW ), where ● indicates the result obtained using the traditional ventilation method.

[0200] (Example 5-1)

[0201] Using the aforementioned bioinformatics measuring instrument, the effects of sunflower leaf exposure to water stress on transpiration rate (E) and carbon dioxide assimilation rate (A) were verified as follows. It should be noted that a nylon mesh 520 / 560 was used as the osmotic membrane, and irrigation was stopped as the water stress method for the sunflowers. First, a portion of the sunflower leaf surface was covered through the measuring port of the bioinformatics measuring instrument, and then an accessory LI-6800-02 (manufactured by LI-COR, INC.) for the LI-6800 chamber was placed overlapping the top side of the bioinformatics measuring instrument as a light source. Next, for sunflower leaves before irrigation was stopped, 3 days after irrigation was stopped, and 4 days after irrigation was stopped, measurements were taken on the leaves fixed at C... r =500μmolmol -1 In this case, while using LI-6800-02 to change the PAR (μmol / m²) generated by an LED that mixes blue (453nm peak) and red (660nm peak) wavelengths, -2 s -1While measuring the water vapor concentration (W) at the inlet of the ventilated bioinformatics analyzer. r ) and outlet water vapor concentration (W s ), and the inlet carbon dioxide concentration (C r ) and the carbon dioxide concentration at the outlet (C s ), and measure the inlet airflow (μ) r According to the above formula (13), the transpiration rate (E) obtained by the ventilation method is calculated. STD ) and carbon dioxide assimilation rate (A STD It should be noted that in this embodiment, S l S represents the area of ​​the leaf blade covering the mouth of the measurement. l =9cm 2 Additionally, based on PAR = 800 μmol / m -2 s -1 E measured at time STD and A STD Based on equations (16) and (17) above, the diffusion conductivity (g) of the permeable membrane for water vapor is estimated. fw ) and diffusion conductivity for carbon dioxide (g fc ).

[0202] Additionally, while using LI-6800-02, the PAR (μmol / m²) generated by an LED that mixes blue (453nm peak) and red (660nm peak) wavelengths was modified. -2 s -1 While measuring the water vapor concentration difference (W) between the inside and outside of the space formed by the container and leaves of the bioinformatic measuring device, ex -W a ) and carbon dioxide concentration difference (C a -C ex ), and used as described above at PAR = 800 μmolm -2 s -1 And C r =500μmolmol -1 Corrected diffusion conductivity of water vapor (g) under the given conditions fw ) and diffusion conductivity for carbon dioxide (g fc According to equations (12) and (13) above, the transpiration rate (E) obtained by the measurement described in this invention is calculated. NEW ) and carbon dioxide assimilation rate (A NEW ).

[0203] The measurement results are shown in Figure 20 middle, Figure 20The upper side represents the carbon dioxide assimilation rate (A) before irrigation stopped (solid line), 3 days after irrigation stopped (dashed line), and 4 days after irrigation stopped (dashed line). NEW A STD ) photoresponsivity, Figure 20 The lower part of the graph represents the transpiration rate (E) before irrigation stopped (solid line), 3 days after irrigation stopped (dashed line), and 4 days after irrigation stopped (short dashed line). NEW E STD The photoresponsibility of ( ). It should be noted that Figure 20 In the figure, ■ represents the result obtained by the measurement described in this invention (E). NEW A NEW ), where ● indicates the result obtained using the traditional ventilation measurement method (E STD A STD ).

[0204] (Example 5-2)

[0205] In addition to continuously measuring the transpiration rate (E) and carbon dioxide assimilation rate (A) of sunflower leaves using the aforementioned bioinformatics measuring instrument, the effects of diurnal variations in sunflower leaves exposed to water stress were verified as follows. It should be noted that a nylon mesh 508 was used as the permeable membrane, and irrigation was stopped as in Example 5-1 to apply water stress to the sunflowers. Furthermore, the measurement period was set from the time irrigation was stopped until 5 days later, with irrigation performed once at 6 PM on the 4th day. First, a portion of the sunflower leaf surface was covered by the measurement port of the bioinformatics measuring instrument, and then an accessory LI-6800-02 (manufactured by LI-COR, INC.) of the LI-6800 chamber was placed overlapping the top side of the bioinformatics measuring instrument as a light source. The flowerpot containing the sunflower, which was the subject of the measurement, was placed on an electronic balance UP8201X (manufactured by SHIMADZU CORPORATION). Then, in addition to measuring the weight (g) of the flowerpot over time, the difference in water vapor concentration (W) between the inside and outside of the space formed by the container of the bioinformatics measuring instrument and the leaf was measured. ex -W a ) and carbon dioxide concentration difference (C a -C ex The diffusion conductivity (g) of water vapor using nylon mesh 508 as a permeation membrane was utilized. fw ) and diffusion conductivity for carbon dioxide (g fc According to the above formulas (12) and (13), the transpiration rate (E) obtained by the measurement described in this invention is calculated. NEW ) and carbon dioxide assimilation rate (A NEW It should be noted that the g of nylon mesh 508 fw and g fc Using PAR = 800 μmol / m³ the day before irrigation was stopped-2 s -1 And C r =500μmolmol -1 The corrected value under the given conditions. Additionally, as a comparison, the transpiration rate (E) obtained from measurements using a osmotic membrane was calculated for the aforementioned sunflower leaves the day before irrigation ceased. NEW ) and carbon dioxide assimilation rate (A NEW This is then plotted as a chart, which is displayed repeatedly on each date. It should be noted that for E at this time... NEW and A NEW The calculation is also performed in the same manner as above, according to equations (12) and (13).

[0206] The measurement results are shown in Figure 21 middle, Figure 21 (a) shows the change in the weight (g) of the sunflower pot over time. Figure 21 (a) shows the change over time in the amount of evapotranspiration (g) produced by the sunflower and the soil in the pot. Additionally, Figure 21 (b) represents the transpiration rate of sunflower leaves (E NEW ) and carbon dioxide assimilation rate (A NEW The changes in (over time) should be explained. Figure 21 In (a), the white background represents daytime (6:00 AM to 5:00 PM), and the gray background represents nighttime (5:00 PM to 6:00 AM). Additionally, in Figure 21 (b) shows the results of sunflower leaves after irrigation was stopped (E NEW A NEW ) and the results of sunflower leaves before irrigation was stopped (E NEW A NEW )both.

[0207] (result)

[0208] like Figure 13 As shown in (a) and (b), it was confirmed that when a bioinformatic instrument using a permeable membrane and a light source were placed on the back of unilateral stomatal grape, lemon, and cherry leaves, the transpiration rate (E) and carbon dioxide assimilation rate (A) of each leaf could be measured using this bioinformatic instrument. Furthermore, as... Figure 13 As shown in (a), the results of the bioinformatics measurement using a permeable membrane were compared with those of the ventilated LI-6800, confirming the transpiration rate (E) of each leaf. NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD The results of the photoresponse measurements are largely consistent with those of other measurements. Additionally, for example... Figure 13 As shown in (b), the transpiration rate (E) of each leaf was confirmed. NEWE STD ) and carbon dioxide assimilation rate (A NEW A STD The results of the carbon dioxide responsiveness determination were also largely consistent.

[0209] like Figure 14 As shown, it was confirmed that even when a bioinformatic instrument with a permeable membrane is placed on the back of a unilaterally stomatal grape leaf, and a light source is placed on the surface of the grape leaf, the transpiration rate (E) and carbon dioxide assimilation rate (A) of the grape leaf can be measured using this bioinformatic instrument. Furthermore, as... Figure 14 As shown, the results of the bioinformatics measurement using a osmotic membrane were compared with those of the ventilated LI-6800, confirming the transpiration rate (E) of grape leaves. NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD The results of the photoresponse measurements were largely consistent.

[0210] like Figure 15 As shown, it was confirmed that a bioinformatic instrument using a permeable membrane and a light source, configured on the surface of a bistomoporous sunflower leaf, could be used to measure the transpiration rate (E) and carbon dioxide assimilation rate (A) of the sunflower leaf when the back of the leaf is covered by a container. Furthermore, as... Figure 15 As shown in (a), the results of the bioinformatics measurement using a permeable membrane were compared with those of the ventilated LI-6800, confirming the transpiration rate (E) of each leaf. NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD The results of the photoresponse measurements are largely consistent with those of other measurements. Additionally, for example... Figure 15 As shown in (b), the transpiration rate (E) of each leaf was confirmed. NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD The results of the carbon dioxide responsiveness determination were also largely consistent.

[0211] like Figure 16 As shown, it was confirmed that even when a bioinformatic instrument using a permeable membrane is placed on the back of bistomoplasmic strawberry and sunflower leaves, and a gas-barrier membrane and a light source are placed on the surface of the leaves, the transpiration rate (E) and carbon dioxide assimilation rate (A) of strawberry and sunflower leaves can be measured using this bioinformatic instrument. Furthermore, as... Figure 16 As shown, the results of the bioinformatics measurement using a permeable membrane were compared with those of the ventilated LI-6800, confirming the transpiration rate (E) of each leaf.NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD The results of the photoresponse measurements are largely consistent with those of other measurements. Additionally, for example... Figure 16 As shown in (b), the transpiration rate (E) of each leaf was confirmed. NEW E STD ) and carbon dioxide assimilation rate (A NEW A STD The results of the carbon dioxide responsiveness determination were also largely consistent.

[0212] Figures 13-16 The results show that the bioinformatics analyzer using a permeable membrane can detect plant bioinformatics such as transpiration rate (E) and carbon dioxide assimilation rate (A) with comparable accuracy, even compared to the currently used, world-standard ventilated LI-6800 (manufactured by LI-COR, INC.). Furthermore, the measurement method described in this invention confirms that it eliminates the need to obtain airflow within the container or use a gas flow control device for bioinformatics measurement, and also eliminates concerns about water vapor saturation or carbon dioxide depletion in the air. These results confirm that the measurement method described in this invention can conveniently and continuously measure plant bioinformatics.

[0213] In addition, by Figures 13-16 The results confirm that when plant leaves are unilaterally stomatal, the bioinformatics of the plant can be measured by covering the back of the stomatal leaf with the container of a bioinformatic measuring device using a permeable membrane. On the other hand, it was confirmed that when plant leaves are dilaterally stomatal, the bioinformatics of the plant can be measured by covering at least one side of the leaf surface (either the upper or lower surface) with the container of a bioinformatic measuring device using a permeable membrane, while the other side is covered with a gas-barrier membrane or the container itself. Therefore, it is demonstrated that a bioinformatic measuring device using a permeable membrane can measure bioinformatics in both unilaterally and dilaterally stomatal plant leaves.

[0214] like Figure 17 As shown in (a) and (b), it was confirmed that plant bioinformatics can be measured with high precision when the opening ratio of the permeable membrane in the bioinformatic measuring instrument is between 11% and 49%. In particular, measurements can be performed with even higher precision when the opening ratio of the permeable membrane is between 11% and 26%. It should be noted that it was confirmed that the smaller the mesh size, i.e., the higher the opening ratio, the higher the diffusion conductivity (g). fc g fw The higher the value, the easier it is for gases such as water vapor or carbon dioxide to pass through. Figure 17 The results show that the optimal diffusion conductivity of the permeable membrane is 3500 mmol / m². -2 s-1 Hereinafter, particularly, the diffusion conductivity of the permeation membrane for carbon dioxide is more preferably 1200 mmol / m. -2 s -1 The diffusion conductivity of the permeable membrane for water vapor is preferably 1100 mmol / m. -2 s -1 the following.

[0215] like Figure 18 As shown in (a), it was confirmed that the higher the air temperature, the greater the diffusion conductivity (g) of the permeable membrane for water vapor. fw ) and diffusion conductivity for carbon dioxide (g fc The lower the value, the better. Especially, due to g... fw and g fc Both decreased, therefore the reason is considered to be a physical change in the mesh porosity, such as a decrease in the opening ratio due to the thermal expansion of the resin fibers. Additionally, as... Figure 18 As shown in (b), it was confirmed that a temperature correction for diffusion conductivity is required to determine the optimal temperature for maximizing photosynthesis in order to determine the carbon dioxide assimilation rate (A).

[0216] like Figure 19 As shown, measurements using the SPAD-502Plus chlorophyll meter (manufactured by KONICA MINOLTA, INC.) confirmed that the SPAD value tends to decrease with age of the leaf. Furthermore, it was also confirmed that in both the measurement method described in this invention and conventional ventilation-based measurements, the carbon dioxide assimilation rate (A) of older leaves... NEW A STD The trend is towards a decrease.

[0217] like Figure 20 As shown, it was confirmed that the measurement method described in this invention can measure the transpiration rate (E) and carbon dioxide assimilation rate (A) reduced by water stress with the same level of accuracy as conventional ventilation-based measurements.

[0218] like Figure 21 As shown in (a), it was confirmed that approximately 500g of water was lost daily from the flowerpot until two days after irrigation ceased. This is presumably mainly due to daytime evaporation. Next, it was confirmed that evapotranspiration decreased significantly starting three days after irrigation ceased, and that daytime evapotranspiration was approximately 50g after four days. On the other hand, it was confirmed that if irrigation resumed after sunset (6 PM) on the fourth day after cessation, daytime evapotranspiration recovered to approximately 160g the following day. Furthermore, as... Figure 21 As shown in (b), it was confirmed that transpiration rate (E) and carbon dioxide assimilation rate (A) are linked to PAR when the diurnal variation of daytime sunlight is simulated by adjusting light intensity (PAR). Specifically, A was confirmed 3 days after irrigation was stopped. NEWThe maximum value of E decreases, and vice versa. NEW The increase in the maximum value confirms the impact of water stress. Furthermore, after 4 days of irrigation cessation, the effect was confirmed when PAR > 1000 μmol / m³. -2 s -1 A within a wider range NEW The decrease was confirmed while maintaining E. NEW The maximum value is simultaneously in the low PAR region E NEW The effects were reduced. On the other hand, these effects were mitigated by resuming irrigation on the 4th day.

[0219] from Figure 20 and Figure 21 The results confirm that the measurement method described in this invention can easily and accurately measure the time-dependent changes in plant biological information under water stress on plant leaves.

[0220] The results above confirm that the bioinformatics measuring device and bioinformatics measuring method described in this invention can conveniently and continuously measure the bioinformatics of plants and are suitable for use as a bioinformatics measuring device and bioinformatics measuring method.

[0221] -Symbol Explanation-

[0222] 1: Bioinformatics measuring device

[0223] 2a, 2b, 2c: Containers

[0224] 3: Sensors

[0225] 4: wall

[0226] 5: Permeable membrane

[0227] 6a, 6b, 6c, 6d: Space

[0228] 7: Plants

[0229] 8: Leaf blade

[0230] 9:stem

[0231] 10: Gas barrier membrane

[0232] 11: Film

[0233] 12: Adhesive layer

[0234] 13: Chamber

Claims

1. A bioinformatics measuring device, wherein, The bioinformatics measuring device includes: A container for covering at least a portion of plant leaves; and A sensor that measures the concentration of at least one of water vapor and carbon dioxide on the inside and outside of the container; At least a portion of the wall of the container is made of a permeable membrane that is resistant to water vapor or carbon dioxide.

2. The bioinformatics measuring device according to claim 1, wherein, The bioinformatics measuring device further includes a computer for calculating at least one of the transpiration rate and carbon dioxide assimilation rate of the plant leaves based on the concentration difference of at least one of water vapor and carbon dioxide inside and outside the container, and the osmotic resistance.

3. A bioinformatics measuring device, wherein, The bioinformatics measuring device includes: A permeable membrane that is resistant to water vapor or carbon dioxide. An adhesion layer, disposed on a surface of the permeable membrane surrounding a defined area of ​​the surface, for adhering the permeable membrane to a plant leaf; and A sensor, disposed within or outside the designated area on the surface of the permeable membrane, measures the concentration of at least one of water vapor and carbon dioxide.

4. The bioinformatics measuring device according to claim 3, wherein, The bioinformatic measuring device further includes a computer for calculating at least one of the transpiration rate and the carbon dioxide assimilation rate of the plant leaves based on the concentration difference of at least one of water vapor and carbon dioxide within and outside the space formed by the permeable membrane, the adhesive layer and the plant leaves in the defined area of ​​the permeable membrane, and the permeability.

5. The bioinformatics measuring device according to any one of claims 1 to 4, wherein, The permeation membrane has multiple pores.

6. A method for measuring bioinformation, wherein, The method for measuring the bioinformation includes: The steps include covering at least a portion of a plant leaf with a container made of at least a portion of a permeable membrane that is resistant to water vapor or carbon dioxide to form a space between the container and the leaf, or storing the plant leaf within the space of the container. The step of determining the concentration of at least one of water vapor and carbon dioxide inside and outside the space; and The step of calculating at least one of the transpiration rate and carbon dioxide assimilation rate of the plant leaves based on the measured concentration difference between the interior and exterior of at least one of water vapor and carbon dioxide in the space, and the permeability.

7. The method for determining bioinformation according to claim 6, wherein, The method for measuring bioinformation includes: a step of further covering the back side of the plant leaves covered by the container with a gas barrier membrane; or a step of covering the back side of the plant leaves with another container made of at least a portion of a permeable membrane that is resistant to water vapor or carbon dioxide, wherein the other container and the back side of the leaves further form a space.

8. A method for measuring bioinformation, wherein, The method for measuring the bioinformation includes: The step of using a thin film consisting of a permeable membrane resistant to water vapor or carbon dioxide and an adhesive layer disposed on a defined area surrounding the surface of the permeable membrane, to adhere the adhesive layer of the thin film to at least a portion of a plant leaf, wherein the thin film and the leaf form a space within the defined area of ​​the thin film; The step of determining the concentration of at least one of water vapor and carbon dioxide inside and outside the space; and The step of calculating at least one of the transpiration rate and carbon dioxide assimilation rate of the plant leaves based on the measured concentration difference between the interior and exterior of at least one of water vapor and carbon dioxide in the space, and the permeability.

9. The method for determining bioinformation according to claim 8, wherein, The method for measuring bioinformation includes: a step of further covering the dorsal side of a plant leaf covered by a gas barrier membrane; or a step of using a permeable membrane resistant to water vapor or carbon dioxide and an adhesive layer consisting of an adhesive layer disposed on a defined area surrounding the surface of the permeable membrane, such that the adhesive layer of the other membrane adheres to the dorsal side of the plant leaf, and a space is further formed by the other membrane and the dorsal side of the leaf within the defined area of ​​the other membrane.

10. The method for determining bioinformation according to any one of claims 6 to 9, wherein, The permeation membrane has multiple pores.

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