Analysis system and analysis method

Abstract

To improve the accuracy of measurement results.SOLUTION: In an analytical system having a sensor and an analysis device, the sensor has a detection section containing a colorimetric reagent and a dry state detection section into which a specimen identical to a specimen flowing into the detection section flows, and the analysis device has a color information acquisition section that acquires color information indicating a color of the detection section and color information indicating a color of the dry state detection section, and a concentration calculation section that calculates the concentration of a substance contained in the specimen using the color information indicating the color of the detection section and the color information indicating the color of the dry state detection section.SELECTED DRAWING: Figure 7

Description

[Technical field]

[0001] The present invention relates to an analysis system and an analysis method. [Background technology]

[0002] Conventionally, a measurement method is known in which, in a test unit in which multiple colorimetric reagents are arranged, an image of the test unit is captured after the colorimetric reagents have reacted with an analyte, and the concentration of the analyte is measured based on the captured image (Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2017-53849 A Summary of the Invention [Problem to be solved by the invention]

[0004] In the conventional technology described above, the substrate containing the colorimetric reagent may dry out and change color between the time when the colorimetric reagent reacts with the analyte and the time when the image of the test unit is captured. However, the conventional technology described above does not take into account the effect of the change in color of the substrate on the change in color of the colorimetric reagent, making it difficult to improve the accuracy of the measurement results.

[0005] One aspect aims to improve the accuracy of the measurement results. [Means for solving the problem]

[0006] According to one aspect, an analytical system having a sensor and an analytical device, the sensor having a detection section containing a colorimetric reagent and a dry state detection section into which a sample identical to the sample flowing into the detection section flows, and the analytical device having a color information acquisition section that acquires color information indicating the color of the detection section and color information indicating the color of the dry state detection section, and a concentration calculation section that calculates the concentration of a substance contained in the sample using the color information indicating the color of the detection section and the color information indicating the color of the dry state detection section. Effect of the Invention

[0007] The aim is to improve the accuracy of the measurement results. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 illustrates an example of a system configuration of an analysis system according to a first embodiment. [Diagram 2] FIG. 2 is a diagram illustrating a sensor. [Diagram 3] 11 is a diagram illustrating the relationship between the pH value, the concentration of sodium ions, and the color of the detection part. FIG. [Figure 4] FIG. 2 illustrates an example of a hardware configuration of an analysis apparatus. [Diagram 5] FIG. 2 is a diagram illustrating a functional configuration of an analysis apparatus according to the first embodiment. [Figure 6A] FIG. 13 is a diagram illustrating an example of training data when generating learned data. [Figure 6B] FIG. 13 is a diagram showing another example of training data when generating trained data. [Figure 7] 4 is a first flowchart illustrating a process of the analysis apparatus according to the first embodiment. [Figure 8] 11 is a second flowchart illustrating the process of the analysis apparatus of the first embodiment. [Figure 9] FIG. 13 illustrates an example of a system configuration of an analysis system according to a second embodiment. [Figure 10] FIG. 11 is a diagram illustrating a functional configuration of an analysis apparatus according to a second embodiment. [Figure 11] FIG. 13 is a diagram illustrating a display example of a terminal device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] First Embodiment The present embodiment will be described below with reference to the drawings. First, an analysis system of the present embodiment will be described with reference to FIG.

[0010] 1 is a diagram showing an example of a system configuration of an analysis system according to a first embodiment. The analysis system 100 according to this embodiment includes a sensor 200, a detector 300, and an analysis device 400.

[0011] The sensor 200 is enclosed with a plurality of detection units each including a base material permeated with a plurality of different types of reagents. The reagents are colorimetric reagents that change color in response to a substance contained in the sample. The sensor 200 of this embodiment detects the concentrations of a plurality of types of substances contained in the sample based on the color change of each of the plurality of detection units.

[0012] Therefore, the sensor 200 of this embodiment is a sensor that has a plurality of detection units each containing a colorimetric reagent, and detects the concentrations of a plurality of types of substances from the same sample, for each detection unit.

[0013] In the analysis system 100 of this embodiment, a substance whose concentration is detected by a plurality of detection units is called a measurement target substance.

[0014] In this embodiment, the specimen may be, for example, sweat or saliva collected from a human body. In this embodiment, the substance to be measured may be hydrogen ions contained in the specimen, and the concentration of the substance to be measured may be hydrogen ion concentration (pH value). In this embodiment, the substance to be measured may be sodium ions (Na + ), and the concentration of the substance to be measured is expressed as sodium ion (Na + The electrolyte may be a sodium ion (Na + ), as well as chloride ions (Cl -) etc.

[0015] Further, in the sensor 200 of this embodiment, a dryness detection unit that detects the dryness state of the base material that has been permeated with the reagent is disposed and enclosed.

[0016] The detector 300 of this embodiment extracts color information indicating the color of each detection unit of the sensor 200 and color information indicating the color of the dryness detection unit. In other words, when measuring the concentration of a target substance contained in a sample, the detector 300 of this embodiment obtains the concentration of the target substance contained in the sample by using color information of the detection unit after reacting with the target substance contained in the sample and color information indicating the degree of dryness of the base material after the sample flows in.

[0017] The color information in this embodiment may be, for example, RGB values ​​(R value, G value, B value). Specifically, the detector 300 in this embodiment may be, for example, an imaging device or a spectroscope. The detector 300 in this embodiment may be any device as long as it can detect color information indicating the color of the base material into which the reagent has permeated and color information indicating the color of the base material itself.

[0018] The analytical device 400 of this embodiment acquires color information of each detection unit and dryness state detection unit of the sensor 200 from the detector 300, calculates the concentration of the substance to be measured contained in the sample from the acquired color information, and outputs it as the measurement result.

[0019] Now, with reference to FIG. 2, the sensor 200 according to this embodiment will be described.

[0020] 2 is a diagram illustrating the sensor. The sensor 200 of this embodiment includes a detection unit 210, a detection unit 220, and a dryness detection unit 230.

[0021] Each of the detection units 210 and 220 may be a substrate impregnated with a reagent. The substrate may be, for example, filter paper, nonwoven fabric, etc. The substrates used for the detection units 210 and 220 may be the same substrate.

[0022] Dry state detection unit 230 detects the dry state of the detection units 210, 220 and the substrate used in dry state detection unit 230. More specifically, dry state detection unit 230 detects the dry state of the substrate used in detection units 210, 220 after a sample flows into detection units 210, 220.

[0023] The dry state detection section 230 may be formed from a substrate similar to that used for the detection sections 210 and 220, or may be formed by impregnating the substrate with a reagent that does not react (does not change color) with the substance to be measured contained in the sample.

[0024] In sensor 200, detection units 210, 220, and dry state detection unit 230 have the same size (area). In sensor 200, detection units 210, 220, and dry state detection unit 230 are each sealed with a transparent member, and inflow paths are provided so that a specimen flows into each of detection units 210, 220, and dry state detection unit 230. In other words, sensor 200 is provided with flow paths that allow the same specimen to flow into each of detection units 210, 220, and dry state detection unit 230.

[0025] In this embodiment, the reagent contained in the detection unit 210 changes color depending on the pH value of the sample, and the reagent contained in the detection unit 220 changes color depending on the pH value of the sample. + ) may be one that changes color depending on the concentration.

[0026] In addition to the detection units 210 and 220, the sensor 200 may be provided with a detection unit containing a colorimetric reagent, and the reagent contained in this detection unit may change color in response to the detection of an amino acid. Examples of amino acids include valine, leucine, and isoleucine.

[0027] Furthermore, the number of detection units included in the sensor 200 is not limited to two and may be any number. In other words, the types of reagents included in the sensor 200 are not limited to two. The sensor 200 may have one detection unit. The sensor 200 of this embodiment may have any number of detection units as long as it has a detection unit including a colorimetric reagent and a dryness detection unit that is an indicator of the dryness state of the detection unit.

[0028] The sensor 200 may include a detection unit (reagent) that changes color in response to, for example, lactic acid, uric acid, protein, lipid, ketone, hormone, mRNA, iron, or the like.

[0029] Next, the relationship between the dry state of the substrate of the detection unit and the way in which the color of the detection unit containing the reagent changes will be described with reference to Fig. 3. In the following embodiment, the concentration of the measurement target substance will be described as a pH value.

[0030] 3 is a diagram illustrating the relationship between the amount of moisture contained in the base material, the pH value, and the color of the detection unit containing a reagent that reacts to the pH value. In Fig. 3, the vertical axis indicates the pH value contained in the sample, and the horizontal axis indicates the color information of the detection unit containing the reagent that detects the pH value.

[0031] Straight line L1 in FIG. 3 shows the relationship between the pH value and color information indicating the color of the detection part that reacts to the pH value when the amount of moisture contained in a substrate of a certain size is X1, straight line L2 shows the relationship between the pH value and color information indicating the color of the detection part that reacts to the pH value when the amount of moisture contained in a substrate of a certain size is X2, and straight line L3 shows the relationship between the pH value and color information (RGB value) indicating the color of the detection part that reacts to the pH value when the amount of moisture contained in a substrate of a certain size is X3.

[0032] Here, when X1 < X2 < X3, the RGB values indicating the color of the detection part containing the reagent tend to increase as the moisture content in the base material increases even when the pH value is the same. In other words, the RGB values indicating the color of the detection part containing the reagent tend to be smaller as the base material is drier and larger as the base material is wetter. That is, the way the color of the detection part that reacts to the pH value changes is correlated with the degree of dryness of the base material.

[0033] Therefore, even when the pH values are the same, the color of the detection part containing the reagent that reacts to the pH value will be different when the moisture content in the base material is X1, X2, or X3.

[0034] This tendency is the same for the color information of the detection part containing the reagent that reacts to sodium ions. That is, even when the concentration of sodium ions is the same, the RGB values indicating the color of the detection part containing the reagent that reacts to sodium ions will be different when the moisture content in the base material is X1, X2, or X3.

[0035] In this embodiment, paying attention to this point, the pH value and the concentration of sodium ions are calculated in consideration of the influence of the dry state of the base material on the color of the detection part that reacts to the pH value and the color of the detection part that reacts to sodium ions.

[0036] Specifically, in this embodiment, the color information of the dry state detection part 230 is used as an index indicating the dry state of the base material. This is because the change in the color of the base material itself according to the moisture content in the base material appears in the color information of the dry state detection part 230.

[0037] In this embodiment, the pH value is measured using the color information indicating the color of the detection part 210 that detects the pH value of the specimen and the color information indicating the color of the dry state detection part 230. Also, in this embodiment, the concentration of sodium ions is measured using the color information indicating the color of the detection part 220 that detects sodium ions and the color information indicating the color of the dry state detection part 230.

[0038] In this embodiment, this makes it possible to eliminate the effect of the dryness state of the substrate on the color change of the detection unit containing a reagent that reacts to pH values, and the effect of the dryness state of the substrate on the color change of the detection unit containing a reagent that reacts to sodium ions, thereby improving the accuracy of the measurement results.

[0039] The analysis device 400 of this embodiment will be described below. Fig. 4 is a diagram showing an example of the hardware configuration of the analysis device.

[0040] The analysis device 400 of this embodiment includes a processor 41, a memory 42, an auxiliary storage device 43, an I / F (Interface) device 44, a communication device 45, and a drive device 46. The hardware components of the analysis device 400 are connected to each other via a bus 47.

[0041] The processor 41 has various arithmetic devices such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), etc. The processor 41 reads various programs (for example, a learning program, etc.) onto the memory 42 and executes them.

[0042] The memory 42 has a main storage device such as a ROM (Read Only Memory), a RAM (Random Access Memory), etc. The processor 41 and the memory 42 form a so-called computer, and the processor 41 executes various programs read onto the memory 42, causing the computer to realize the functions of the analysis device 400 described below.

[0043] The auxiliary storage device 43 stores various programs and various data used when the processor 41 executes the various programs.

[0044] I / F device 44 is a connection device that connects analysis device 400 to an operation device 48, which is an example of an external device, and a display device 49. I / F device 44 accepts operations for analysis device 400 via operation device 48. I / F device 44 may also output results of processing by analysis device 400 and display them via display device 49 to an administrator of analysis device 400.

[0045] The communication unit 45 is a communication device for communicating with other units (in this embodiment, the detector 300).

[0046] The drive device 46 is a device for setting the recording medium 50. The recording medium 50 here includes media that record information optically, electrically, or magnetically, such as a CD-ROM, a flexible disk, a magneto-optical disk, etc. The recording medium 50 may also include semiconductor memories that record information electrically, such as ROM, flash memory, etc.

[0047] The various programs to be installed in the auxiliary storage device 43 are installed, for example, by setting the distributed recording medium 50 in the drive device 46 and reading out the various programs recorded in the recording medium 50 by the drive device 46. Alternatively, the various programs to be installed in the auxiliary storage device 43 may be installed by being downloaded from a network via the communication device 45.

[0048] Next, functions of the analysis device 400 of this embodiment will be described with reference to Fig. 5. Fig. 5 is a diagram illustrating the functional configuration of the analysis device of the first embodiment.

[0049] The analysis device 400 of this embodiment includes a color information acquisition section 410 , a concentration calculation section 420 , and an output section 430 .

[0050] The color information acquisition section 410 of this embodiment acquires the color information extracted by the detector 300 from each of the detection sections 210 and 220 and the dryness state detection section 230 of the sensor 200 .

[0051] Note that, for example, when detector 300 is an imaging device, the color information extracted from detection units 210, 220 may be RGB values ​​of the image of each detection unit extracted from image data showing an image of sensor 200 captured after a reagent included in detection units 210, 220 reacts with a sample. Also, the color information extracted from dry state detection unit 230 may be RGB values ​​of the image of dry state detection unit 230 extracted from image data showing an image of sensor 200 captured after a reagent included in detection units 210, 220 reacts with a sample.

[0052] Furthermore, when the detector 300 is an imaging device, the color information may include luminance indicating the brightness of the images of the detection units 210 and 220 and the dryness condition detection unit 230, and color difference.

[0053] The concentration calculation section 420 uses the color information acquired by the color information acquisition section 410 to calculate the concentration of the measurement target substance contained in the sample.

[0054] Specifically, the concentration calculation unit 420 of this embodiment has a trained model 421. In other words, the concentration calculation unit 420 may be a storage unit that holds the trained model 421.

[0055] The trained model 421 of this embodiment is a model generated by performing machine learning using pre-created teacher data. When color information of the detection units 210 and 220 and color information of the dryness detection unit 230 are input, the trained model 421 outputs the pH value of the sample and the concentration of sodium ions in the sample. Details of the teacher data of the trained model 421 will be described later.

[0056] The concentration calculation unit 420 of this embodiment inputs the color information acquired by the color information acquisition unit 410 to the trained model 421, and acquires the concentration of the measurement target substance output from the trained model 421 as the measurement result.

[0057] In this embodiment, the concentration calculation unit 420 obtains the result of measuring the concentration of the measurement target substance using the trained model 421, but the concentration calculation unit 420 may obtain the result of measuring the concentration of the measurement target substance using other methods. Specifically, when the relationship between the color of the detection unit containing the reagent and the concentration is expressed by a simple regression equation, the concentration calculation unit 420 may use this regression equation and may not need to use the trained model 421.

[0058] In addition, the trained model 421 of this embodiment may output either the pH value or the sodium ion concentration.

[0059] The output section 430 outputs the concentration of the measurement target substance acquired by the concentration calculation section 420 .

[0060] The trained model 421 of this embodiment will be further described below with reference to Fig. 6A and Fig. 6B. Fig. 6A is a diagram showing an example of training data when trained data is generated.

[0061] Teacher data 60A shown in FIG. 6A is a data set in which color information from detection unit 210 and color information from dryness state detection unit 230 are used as input data, and the pH value of the sample is used as output data.

[0062] The color information of detection unit 210 is color information indicating a color including the color of the reagent contained in detection unit 210 and the color of the base material into which the reagent has been permeated, and the color information of dry state detection unit 230 is color information indicating the degree of dryness of the base material contained in detection unit 210. The color information of detection unit 210 and the color information of dry state detection unit 230 are represented by RGB values.

[0063] Fig. 6B is a diagram showing an example of other training data when generating trained data. Training data 60B shown in Fig. 6B is a data set in which color information of detection unit 220 and color information of dryness detection unit 230 are used as input data, and the concentration of sodium ions in the sample is used as output data.

[0064] The color information of the detection unit 220 is color information indicating a color including the color of the reagent contained in the detection unit 220 and the color of the base material in which the reagent is permeated. The color information of the detection unit 220 includes RGB values.

[0065] The trained model 421 of this embodiment is a trained model generated by machine learning using the teacher data 60A and 60B shown in Figures 6A and 6B. When the trained model 421 receives color information from the detection units 210 and 220 and color information from the dryness detection unit 230, the trained model 421 outputs a pH value and a sodium ion concentration according to the combination of color information. In other words, the trained model 421 of this embodiment outputs a pH value and a sodium ion concentration that take into account the influence of drying of the substrate.

[0066] The trained model 421 of this embodiment may be generated in the analysis device 400, or may be generated in a device other than the analysis device 400.

[0067] When generating trained model 421 in analysis device 400, a learning unit can be provided in analysis device 400, and machine learning can be performed using each of teacher data 60A and 60B as pre-processing for the processing described below, to generate each of trained models 421.

[0068] 6A and 6B, the teacher data 60A and 60B are data sets in which color information of one detection unit, a value corresponding to the one detection unit, and color information indicating the degree of dryness of the substrate are associated with each other, but are not limited to this. For example, the teacher data 60A and 60B may be data sets in which color information of multiple types of detection units, values ​​corresponding to each of the multiple types of detection units, and color information indicating the degree of dryness of the substrate are associated with each other.

[0069] When a trained model is generated by machine learning using such training data, color information from three or more detection elements provided in sensor 200 can be input into the trained model to obtain values ​​corresponding to each of the reagents contained in each detection element.

[0070] Next, the processing of the analysis device 400 of this embodiment will be described with reference to Fig. 7. Fig. 7 is a first flowchart illustrating the processing of the analysis device of the first embodiment.

[0071] The analysis device 400 of this embodiment acquires color information of the detection units 210 and 220 of the sensor 200 extracted by the detector 300 and color information of the dryness state detection unit 230 by the color information acquisition unit 410 (step S701). Note that the analysis device 400 and the detector 300 may be connected by, for example, wireless communication, and the color information may be acquired by the analysis device 400 through communication.

[0072] Next, the analysis device 400 calculates the concentration of the measurement target substance using the color information acquired in step S701 by the concentration calculation section 420 (step S702).

[0073] Next, the analysis device 400 outputs the concentration of the measurement target substance acquired by the concentration calculation section 420 through the output section 430 (step S703).

[0074] The process of Fig. 7 will be described in detail below. In the following description, the detector 300 will be described as an imaging device.

[0075] In sensor 200, when a sample reaches each of detection units 210, 220, the color of each detection unit changes in accordance with the change in color of the reagent contained in each detection unit. Detector 300 captures an image of sensor 200 after the color change of detection units 210, 220, and obtains image data. This image also includes an image of dryness detection unit 230.

[0076] The color information acquisition section 410 of the analysis device 400 acquires image data from the detector 300, and identifies images of the detection sections 210, 220, and the dry condition detection section 230 from among images represented by the acquired image data. Specifically, for example, in this embodiment, the images of the detection sections 210, 220, and the dry condition detection section 230 may be identified based on the shapes, arrangement, etc. of the detection sections 210, 220, and the dry condition detection section 230.

[0077] Next, the color information acquisition section 410 extracts color information from the specified image. Specifically, the color information acquisition section 410 may extract the RGB value, luminance, color difference, etc. of the specified image as color information.

[0078] In the analysis device 400, when the color information acquisition unit 410 acquires color information from the detection units 210, 220 and the dry state detection unit 230, the concentration calculation unit 420 inputs the color information from each of the detection units 210, 220 and the color information from the dry state detection unit 230 into the trained model 421, and acquires the pH value and sodium ion concentration output from the trained model 421.

[0079] In the above description, image data is acquired from the detector 300, and color information of the detection units 210 and 220 and color information of the dryness state detection unit 230 is extracted in the analysis device 400, but this is not limiting. Extraction of color information may be performed in the detector 300.

[0080] In addition, in the above description, color information from the detection units 210, 220 and the dryness detection unit 230 is extracted based on image data from the sensor 200, and the extracted color information is input to the trained model 421, but this is not limited to this.

[0081] In this embodiment, image data captured by the detector 300 may be directly input to the trained model 421. In this case, the trained model 421 may extract color information from the input image data.

[0082] Thus, in this embodiment, when measuring the concentration of the target substance contained in a sample, the concentration of the target substance contained in the sample is obtained using color information of the detection section after it reacts with the target substance contained in the sample and color information indicating the degree of drying of the base material after the sample flows in.

[0083] More specifically, in this embodiment, when the concentration of hydrogen ions contained in a specimen is measured using sensor 200, the concentration of hydrogen ions is measured using color information of a substrate permeated with a reagent that reacts with hydrogen ions in the specimen and color information indicating the dryness state of the substrate itself. Also, in this embodiment, when the concentration of sodium ions contained in a specimen is measured using sensor 200, the concentration of sodium ions is measured using color information of a substrate permeated with a reagent that reacts with sodium ions and color information indicating the dryness state of the substrate itself.

[0084] Therefore, according to this embodiment, it is possible to eliminate the effect that the dryness state of the substrate itself has on the color of the substrate that has been permeated with a reagent that reacts to hydrogen ions, thereby improving the measurement accuracy of the pH value output as the measurement result.

[0085] Furthermore, according to this embodiment, it is possible to eliminate the effect that the dryness state of the substrate itself has on the color of the substrate that has been permeated with a reagent that reacts to sodium ions, thereby improving the measurement accuracy of the sodium ion concentration output as the measurement result.

[0086] <Modification> A modified example of this embodiment will be described below with reference to Fig. 8. In this modified example, when the detector 300 is an imaging device, before extracting color information from image data captured by the detector 300, correction is performed to reduce the influence of the external environment from the image data.

[0087] A modified example of this embodiment will be described below with reference to Fig. 8. Fig. 8 is a second flowchart illustrating the process of the analysis device of the first embodiment.

[0088] In the analysis device 400 of this embodiment, the color information acquisition unit 410 acquires color information of the detection units 210, 220 and the dryness detection unit 230 included in the sensor 200 from the detector 300 (step S801). Specifically, the color information acquisition unit 410 extracts color information of each of the detection units 210, 220 and the dryness detection unit 230 based on the image data acquired from the detector 300.

[0089] Next, the analysis device 400 corrects the extracted color information by the concentration calculation unit 420 (step S802). The correction performed by the concentration calculation unit 420 here is, for example, a correction for suppressing the influence of the environment when the image is captured on the color, and may be a correction using a predetermined reference color.

[0090] The environment when the image is captured indicates, for example, the angle of the detector 300 when the image is captured, the distance from the sensor 200 to the detector 300, the illuminance and color temperature of the surrounding lighting and external light when the image is captured, etc.

[0091] Next, the concentration calculation unit 420 calculates the concentration of the measurement target substance using the corrected color information (step S803). Specifically, the concentration calculation unit 420 inputs the corrected color information to the trained model 421, and obtains the concentration of the measurement target substance output from the trained model 421 as the measurement result. Next, the analysis device 400 outputs the concentration of the measurement target substance by the output unit 430 (step S804).

[0092] In this way, in the modified example, by correcting the color information before inputting it into the learned model 421, it is possible to eliminate the influence that the environment when the image data of the detection unit included in the sensor 200 is acquired has on the color information of the detection units 210, 220 and the dryness detection unit 230, thereby improving the accuracy of the measurement results.

[0093] In the above example, the correction of the color information is performed by the analysis device 400, but this is not limiting, and the correction of the color information may be performed by the detector 300. In this case, the color information acquisition unit 410 acquires the corrected color information from the detector 300, so the correction of the color information does not need to be performed by the analysis device 400.

[0094] Second Embodiment The second embodiment will be described below with reference to the drawings. The second embodiment differs from the first embodiment in that a terminal device is used instead of the detector 300 and information obtained according to the measurement result is output to the terminal device. Therefore, in the following description of the second embodiment, the differences from the first embodiment will be described, and the same reference numerals as those used in the description of the first embodiment will be given to the same functional configurations as those in the first embodiment, and the description thereof will be omitted.

[0095] FIG. 9 is a diagram illustrating an example of a system configuration of the analysis system according to the second embodiment.

[0096] The analysis system 100A of this embodiment includes a sensor 200, a terminal device 500, and an analysis device 400A.

[0097] In the analysis system 100A of this embodiment, the terminal device 500 and the analysis device 400A are connected via a network such as the Internet. The analysis device 400A of this embodiment may be, for example, a server device provided on the Internet.

[0098] The terminal device 500 of this embodiment is a portable computer having an imaging device, and specifically, is a smartphone or a tablet-type terminal device.

[0099] In this embodiment, the sensor 200 may be attached to, for example, the skin of a user of the terminal device 500. Also, in this embodiment, an image of the sensor 200 attached to the human body may be captured by an imaging device included in the terminal device 500. In other words, the user of the terminal device 500 is a user of the analysis system 100A.

[0100] Next, functions of the analysis device 400A of this embodiment will be described with reference to Fig. 10. Fig. 10 is a diagram illustrating the functional configuration of the analysis device of the second embodiment.

[0101] The analysis device 400 A of this embodiment includes a color information acquisition section 410 , a concentration calculation section 420 , a state determination section 450 , and a display control section 460 .

[0102] The state determination section 450 determines the state of the user of the terminal device 500 by using the concentration of the measurement target substance calculated by the concentration calculation section 420. Specifically, the state determination section 450 may perform, for example, a determination regarding the amount of moisture, which is one of the items indicating the state of the user of the terminal device 500. In other words, the state determination section 450 may determine whether or not the user of the terminal device 500 is in a state of dehydration.

[0103] Furthermore, the state determination unit 450 of this embodiment may perform determination on items that indicate the state of the user of the terminal device 500, the items being capable of determining the state using characteristics, concentration, etc. of the specimen detected by the reagent included in the detection unit of the sensor 200. In other words, the state determination unit 450 can determine the state of the specimen's collection source using characteristics, concentration, etc. of the specimen detected by the reagent included in the detection unit of the sensor 200.

[0104] The display control unit 460 causes the terminal device 500 to display a screen according to the result of the determination made by the state determination unit 450 .

[0105] A display example of the terminal device 500 will be described below with reference to Fig. 11. Fig. 11 is a diagram showing a display example of the terminal device.

[0106] A screen 501 shown in FIG. 11(A) is an example of a guide screen for capturing an image of the sensor 200, a screen 502 shown in FIG. 11(B) is a first diagram showing an example of a display of a determination result by the status determination unit 450, and a screen 503 shown in FIG. 11(C) is a second diagram showing an example of a display of a determination result by the status determination unit 450.

[0107] The screen 501 includes display areas 501a and 501b, and an operation button 501e. A message is displayed in the display area 501a to prompt the user of the terminal device 500 to capture an image of the sensor 200. A guide image 501c for capturing an image of the sensor 200 is displayed in the display area 501b. In the example of Fig. 11(A), an image 501d of the sensor 200 is placed within the area indicated by the guide image 501c in the display area 501b.

[0108] Operation button 501e is an operation button for issuing an instruction to capture an image displayed in display area 501b.

[0109] When operation button 501e is operated in the state shown in FIG. 11(A), terminal device 500 captures an image displayed in display area 501b and transmits it as image data to analysis device 400A.

[0110] 11(B) includes a display area 502a and operation buttons 502b. The display area 502a displays the determination result by the state determination unit 450. The operation button 502b is an operation button for displaying a detailed screen of the determination result by the state determination unit 450.

[0111] 11(B), the display area 502a displays the result of determining whether the state of the user of the terminal device 500 is dehydrated or not. Specifically, the display area 502a displays a message indicating that the state is dehydrated.

[0112] Furthermore, the value of a substance detected from a sample by a detection unit included in the sensor 200 may be displayed in the display area 502a.

[0113] In the example of FIG. 11(B), the concentration of a protein, the concentration of a sugar, etc. are displayed as the concentration of a substance detected by the sensor 200 in the display region 502a.

[0114] When the operation button 502b is operated on the screen 502, the screen 502 displayed on the terminal device 500 transitions to a screen 503 shown in FIG. 11(C).

[0115] 11C includes display areas 503a, 503b, and 503c. The display areas 503a and 503b display a history of values ​​measured in the past using the sensor 200, a list of values ​​detected by a detection unit of the sensor 200, and the like. The display areas 503a and 503b may also display a determination result as to whether or not the value measured by the sensor 200 is appropriate.

[0116] A message indicating the status of the user of the terminal device 500, determined from the values ​​displayed in the display areas 503a and 503b, is displayed in the display area 503c.

[0117] In the example of Fig. 11(C), the display area 503a displays the transition of the concentration of amino acids detected in the past, etc. Also, the display area 503b displays a list in which the substances whose concentrations are measured by the sensor 200 correspond to the concentrations of the substances that are the measurement results. Furthermore, in the example of Fig. 11(C), the display area 503b displays the determination results of whether or not the respective concentrations of the substances whose concentrations are measured are appropriate as concentrations in a sample (sweat) collected from the human body.

[0118] This determination result may be, for example, a result of determining whether or not the concentration is appropriate based on a threshold value of the concentration of each substance that is preset in the state determination section 450.

[0119] 11(C) displays a message informing the user of the terminal device 500 that the user's immune system is weakened. Such a state of the user may be determined based on the concentrations of the substances displayed in the display areas 503a and 503b, the transition of the concentrations of the substances from the past to the present, and the like.

[0120] In this manner, in this embodiment, a specimen can be collected from a user simply by attaching the sensor 200 to the user of the terminal device 500. Also, in this embodiment, the specimen collected from the user can be used to determine the user's condition at that time and the determination result can be notified to the user, allowing the user to easily understand his or her own condition.

[0121] In this embodiment, the source of the specimen is the human body, but this is not limited to the above. The source of the specimen may be anything that can collect a specimen that can reach the detection unit of sensor 200.

[0122] In each of the above-described embodiments, the concentration calculation unit 420 calculates the concentration of the substance to be measured by inputting the color information of the multiple detection units acquired by the color information acquisition unit 410 and the color information of the dry state detection unit 230 into the trained model 421, but this is not limited to the above.

[0123] The concentration calculation unit 420 may calculate the concentration of the substance to be measured using a method other than the method using the trained model 421, for example, based on the color information of multiple detection units acquired by the color information acquisition unit 410 and the color information of the dry state detection unit 230.

[0124] The present invention is not limited to the configurations shown in the above embodiments, combinations with other elements, etc. These points can be changed without departing from the spirit of the present invention, and can be appropriately determined according to the application form. [Explanation of symbols]

[0125] 100, 100A Analysis System 200 Sensors 210, 220 Detector 230 Dryness detection unit 300 Detectors 400, 400A analyzer 410 Color information acquisition section 420 Concentration calculation section 421 trained models 430 Output section 450 Status Judgment Unit 460 Display control unit 500 Terminal Equipment

Claims

1. An analysis system having a sensor and an analysis device, The sensor includes: A detection unit including a colorimetric reagent; a dry state detection section into which the same specimen as that flowing into the detection section flows; The analysis device comprises: a color information acquiring unit that acquires color information indicating a color of the detection unit and color information indicating a color of the dryness detection unit; an analysis system comprising: a concentration calculation unit that calculates a concentration of a substance contained in the sample using color information indicating the color of the detection unit and color information indicating the color of the dryness state detection unit.

2. The color information acquisition unit The analysis system according to claim 1 , further comprising: acquiring image data of the sensor from an imaging device that captures an image of the sensor; and extracting color information of the detection unit and color information of the dryness detection unit from the image data.

3. The concentration calculation unit The analysis system according to claim 2 , which is a trained model that uses the color information of the detection unit and the color information of the dry state detection unit acquired by the color information acquisition unit as input data and the concentration of the substance as output data.

4. The sensor includes: A plurality of the detection units are provided, The analysis system according to claim 3 , wherein the detection unit includes at least one of a detection unit that detects a pH value of the sample and a detection unit that detects sodium ions in the sample.

5. The analytical system according to claim 1 , wherein a substrate of the dry state detection unit is formed from the same substrate as a substrate of the detection unit.

6. 1. An analysis method using an analysis system including an analysis device and a sensor having a detection unit including a colorimetric reagent and a dry state detection unit into which the same sample as that flowing into the detection unit flows, comprising: The analysis device comprises: Color information indicating the color of the detection unit and color information indicating the color of the dryness detection unit are obtained. An analysis method, comprising: calculating a concentration of a substance contained in the sample using color information indicating the color of the detection unit and color information indicating the color of the dryness state detection unit.

Images