Biosensor array monitoring system and method for plant organic small molecule distribution imaging

Abstract

The invention relates to a biosensor array monitoring system and method for plant small organic molecule distribution imaging, the system comprises a biosensor array and a control module, the control module comprises a signal output and input conditioning unit and a control and data processing unit; the biosensor array is used for being coupled with a living plant sample and collecting current signals caused by corresponding small organic molecules based on an applied linear scanning voltage signal; the signal output and input conditioning unit is used for applying a linear scanning voltage signal to the biosensor array and conditioning a current signal acquired by the biosensor array to obtain a voltage signal; the control and data processing unit is used for calibrating the biosensor array and the signal output and input conditioning unit, generating a linear scanning voltage signal, and analyzing and processing the obtained voltage signal to obtain an in-vivo in-situ distribution image of the small organic molecules; the method can be widely applied to the field of agricultural application of the sensor technology.

Description

Technical Field

[0001] The present invention relates to the field of agricultural application of sensor technology, and in particular to a biosensor array monitoring system and method for imaging the distribution of plant organic small molecules. Background Art

[0002] During plant growth, the use of multifunctional, miniaturized sensor methods to continuously monitor the dynamic changes of small molecules and ions in plants is of great significance in early plant disease detection, stress sensing, and growth prediction. At present, most wearable sensors can only detect the physical growth or atmospheric environmental parameters of plants. Therefore, a multifunctional, real-time sensing method and system are needed to achieve high sensitivity and high specificity in tracking the distribution of plant biochemical signals (such as small molecule organic compounds in plants, such as hormones in plants).

[0003] For small molecule organic compounds in plants, the existing technologies are all single-point measurements of small molecule organic compounds in plants. However, to master early disease detection, stress sensing and growth patterns of plants, it is more important to monitor the signal distribution of small molecule organic compounds (such as hormones in plants, etc.), but it is also more challenging. For example, it is necessary to deal with the signal-to-noise ratio, synchronization of sensor arrays, and especially the mutual interference problem during measurement. However, there is no system in the existing technology that can achieve high sensitivity, high selectivity and real-time monitoring of the distribution of plant organic small molecules. Summary of the invention

[0004] In view of the above problems, the purpose of the present invention is to provide a biosensor array monitoring system and method for imaging the distribution of plant organic small molecules, which can achieve high-sensitivity, high-selectivity and real-time monitoring of the distribution of plant organic small molecules.

[0005] To achieve the above-mentioned object, the present invention adopts the following technical scheme: On the one hand, a biosensor array monitoring system for plant organic small molecule distribution imaging is provided, comprising a biosensor array and a control module, wherein the biosensor array comprises a plurality of biosensors, and the control module comprises a signal output and input conditioning unit and a control and data processing unit;

[0006] The biosensor array is used to couple with a living plant sample, and based on the linear scanning voltage signal applied by the signal output and input conditioning unit, respectively detect the concentration of organic small molecules at corresponding positions, and collect the current signal caused by the corresponding organic small molecules;

[0007] The signal output and input conditioning unit is used to apply the linear scanning voltage signal generated by the control and data processing unit to the biosensor array, and to condition the current signal collected by the biosensor array to obtain a voltage signal;

[0008] The control and data processing unit is used to calibrate the biosensor array and the signal output and input conditioning unit, generate a linear scanning voltage signal, and analyze and process the obtained voltage signal to obtain an in vivo in-situ distribution image of organic small molecules.

[0009] Furthermore, the biosensor array includes more than 6 biosensors of specific organic small molecules, and each of the biosensors includes three electrodes: a working electrode, an auxiliary electrode, and a reference electrode.

[0010] Furthermore, the reference electrode is composed of silver nanowires and polydimethylsiloxane, the auxiliary electrode is composed of poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate and polyimide, and the working electrode is composed of silver nanowires modified with graphene and perfluorosulfonic acid resin.

[0011] Furthermore, the signal output and input conditioning unit comprises:

[0012] A signal excitation device, used to apply a linear scanning voltage signal generated by the control and data processing unit between each working electrode and the auxiliary electrode in the biosensor array to cause an electrochemical reaction to occur at the electrodes;

[0013] The signal acquisition device is used to collect the current signal on each working electrode in the biosensor array, that is, the current signal caused by the organic small molecules, and convert it into a voltage signal.

[0014] Furthermore, the signal acquisition device comprises:

[0015] A programmable amplifier, used to collect the current signal on each working electrode in the biosensor array, and adjust the amplifier gain through programming to match different signal sources, thereby determining the optimal signal collection parameters of the amplifier;

[0016] The current measurement conditioning circuit is used to convert the current signal caused by the organic small molecules into a voltage signal and amplify it.

[0017] Furthermore, the control and data processing unit comprises:

[0018] An analog-to-digital converter, used to convert the voltage signal conditioned by the signal acquisition device into a digital signal and input it into a microcontroller;

[0019] A digital-to-analog converter, used for generating a linear scanning voltage signal and sending the signal to the signal excitation device;

[0020] The microcontroller is used to inversely calculate the original current signal based on the digital signal, and perform imaging processing to output the in-situ distribution image of the corresponding organic small molecules in the form of a pseudo-color image.

[0021] On the other hand, a biosensor array monitoring method for plant organic small molecule distribution imaging is provided, comprising:

[0022] The control and data processing unit calibrates the biosensor array and the signal output and input conditioning unit;

[0023] The biosensor array is coupled to the living plant sample, and the control and data processing unit generates a linear scanning voltage signal and applies it to the biosensor array through the calibrated signal output and input conditioning unit;

[0024] The biosensor array collects the current signal caused by the corresponding organic small molecules based on the applied linear scanning voltage signal;

[0025] The calibrated signal output and input conditioning unit conditions the current signal collected by the biosensor array to obtain a voltage signal, and sends the obtained voltage signal to the control and data processing unit;

[0026] The control and data processing unit analyzes and processes the obtained voltage signal to obtain the in-situ distribution image of the organic small molecules.

[0027] Furthermore, the preparation process of the biosensor array is as follows:

[0028] Silver nanowires and polydimethylsiloxane are used to form the reference electrode of the biosensor;

[0029] The auxiliary electrode of the biosensor is formed by using poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate and polyimide;

[0030] The working electrode of the biosensor is formed by using graphene and silver nanowires modified by perfluorosulfonic acid resin to obtain the biosensor;

[0031] Based on the obtained biosensors, a biosensor array was constructed.

[0032] Furthermore, the control and data processing unit calibrates the biosensor array and the signal output and input conditioning unit, including:

[0033] The control and data processing unit calibrates the signal output and input conditioning units:

[0034] The current signal collected by the biosensor array is judged using a standard resistance-capacitance model to calibrate the output and input conditioning units to confirm whether they are working properly. If the collected current signal is within the estimated range, it is considered that the output and input conditioning units are working properly.

[0035] The control and data processing unit calibrates the biosensor array:

[0036] Using the configured m concentrations of the analyte standard concentration solutions, each biosensor in the biosensor array is calibrated, and after smoothing and filtering the volt-ampere characteristic curve of each biosensor in the biosensor array, a first-order derivative algorithm is used to determine the peak point of each volt-ampere characteristic curve;

[0037] Each biosensor measures the peak value in solutions of m standard concentrations, establishes a univariate regression model, and saves the two coefficients of the univariate regression model as correction parameters for future use.

[0038] Furthermore, the control and data processing unit analyzes and processes the obtained voltage signal to obtain an in-situ distribution image of the organic small molecules, including:

[0039] The analog-to-digital converter converts the conditioned voltage signal into a digital signal and inputs it into the microcontroller;

[0040] The microcontroller back-calculates the original current signal based on the digital signal;

[0041] The obtained raw current signal is brought into a univariate regression model to obtain the concentration information of the small molecules to be tested in the living plant sample;

[0042] The original current signal is image-processed and the in-situ distribution image of the corresponding organic small molecules is output as a pseudo-color image.

[0043] The present invention adopts the above technical solution, which has the following advantages:

[0044] 1. The present invention utilizes a biosensor array to perform highly sensitive and selective measurements of small organic molecules in plants, and to visualize the in situ distribution of these small molecules in living plants.

[0045] 2. The biosensor array of the present invention can simultaneously obtain in situ spatial distribution information of organic small molecule concentrations inside plants, and this capability is crucial for understanding plant metabolic biological processes.

[0046] 3. The calibration process of the biosensor array of the present invention ensures the consistency of the sensors in the biosensor array and the reliability of the detection.

[0047] 4. The biosensor array preparation process of the present invention is simple, low-cost, conducive to large-scale industrial production, and has broad market application potential.

[0048] In summary, the present invention can be widely used in the field of agricultural applications of sensor technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Throughout the accompanying drawings, the same reference numerals are used to represent the same components. In the accompanying drawings:

[0050] Figure 1 is a schematic diagram of a system structure provided by an embodiment of the present invention;

[0051] Figure 2 It is a schematic diagram of a method flow provided by an embodiment of the present invention;

[0052] Figure 3 It is a schematic diagram of the relationship between the volt-ampere characteristic curve and the content of organic small molecules provided by an embodiment of the present invention;

[0053] Figure 4 It is a schematic diagram of a pseudo-color image output result based on a 3×3 biosensor array provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0055] It should be understood that the terms used in the text are only for the purpose of describing specific example embodiments and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "said" as used in the text may also be meant to include plural forms. The terms "include", "comprise", "contain", and "have" are inclusive, and therefore specify the existence of stated features, steps, operations, elements and / or parts, but do not exclude the existence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The method steps, processes, and operations described in the text are not interpreted as necessarily requiring them to be performed in the specific order described or illustrated, unless the execution order is clearly indicated. It should also be understood that additional or alternative steps may be used.

[0056] Although the terms first, second, third, etc. can be used in the text to describe multiple elements, components, regions, layers and / or sections, these elements, components, regions, layers and / or sections should not be limited by these terms. These terms can only be used to distinguish an element, component, region, layer or section from another region, layer or section. Unless the context clearly indicates, terms such as "first", "second" and other numerical terms do not imply order or sequence when used in the text. Therefore, the first element, component, region, layer or section discussed below can be referred to as the second element, component, region, layer or section without departing from the teaching of the example embodiments.

[0057] For ease of description, spatially relative terms may be used herein to describe the relationship of one element or feature relative to another element or feature as shown in the figures, such as "inside", "outside", "inner side", "outer side", "below", "above", etc. Such spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation depicted in the figures.

[0058] For small molecule organic compounds in plants, the existing technologies are all single-point measurements of small molecule organic compounds in plants. However, to master early disease detection, stress sensing and growth patterns of plants, it is more important to monitor the signal distribution of small molecule organic compounds (such as hormones in plants, etc.), but it is also more challenging. For example, it is necessary to deal with the signal-to-noise ratio, synchronization of sensor arrays, and especially the mutual interference problem during measurement. However, there is no system in the existing technology that can achieve high sensitivity, high selectivity and real-time monitoring of the distribution of plant organic small molecules. The embodiment of the present invention provides a biosensor array monitoring system for plant organic small molecule distribution imaging, including a biosensor array and a control module, wherein the biosensor array includes a plurality of biosensors, and the control module includes a signal output and input conditioning unit and a control and data processing unit; the biosensor array is used to couple with a living plant sample, and based on the linear scanning voltage signal applied by the signal output and input conditioning unit, the concentration of organic small molecules at corresponding positions is detected respectively, and the current signal caused by the corresponding organic small molecules is collected; the signal output and input conditioning unit is used to apply the linear scanning voltage signal generated by the control and data processing unit to the biosensor array, and to condition the current signal collected by the biosensor array to obtain a voltage signal; the control and data processing unit is used to calibrate the biosensor array and the signal output and input conditioning unit, generate a linear scanning voltage signal, and analyze and process the obtained voltage signal to obtain a living in-situ distribution image of the organic small molecules. The present invention can measure the organic small molecules in plants with high sensitivity and selectivity, and can also obtain the in-situ spatial distribution information of the organic small molecule concentration inside the plant.

[0059] Example 1

[0060] like Figure 1 As shown, this embodiment provides a biosensor array monitoring system for plant organic small molecule distribution imaging, including a biosensor array 1, a control module 2 and a host computer 3, wherein the biosensor array 1 includes a plurality of biosensors, and the control module 2 includes a signal output and input conditioning unit 21 and a control and data processing unit 22.

[0061] The biosensor array 1 is used to couple with living plant samples, detect the concentration of organic small molecules at corresponding positions based on the linear scanning voltage signal applied by the signal output and input conditioning unit 21, and collect the current signal caused by the corresponding organic small molecules.

[0062] The signal output and input conditioning unit 21 is used to apply the linear scanning voltage signal generated by the control and data processing unit 22 to the biosensor array 1, and to condition the current signal collected by the biosensor array 1 to obtain a voltage signal.

[0063] The control and data processing unit 22 is used to calibrate the biosensor array 1 and the signal output and input conditioning unit 21, generate a linear scanning voltage signal, and analyze and process the obtained voltage signal based on the parameters set by the host computer 3 to obtain an in vivo in situ distribution image of organic small molecules.

[0064] The host computer 3 is used to set the parameters of the biosensor array monitoring system, including the voltage range of the linear scanning voltage signal, the gain control of the programmable amplifier in the signal output and input conditioning unit 21, and the filter mode selection. After the parameters are set, the system can continue to work independently without the host computer 3.

[0065] In a preferred embodiment, the biosensor array 1 includes more than 6 biosensors of specific organic small molecules, for example, it can be a 3×3 abscisic acid (ABA) array sensor.

[0066] Specifically, each biosensor includes three electrodes, namely a working electrode WE, an auxiliary electrode CE and a reference electrode RE. The working electrode WE, the auxiliary electrode CE and the reference electrode RE are all connected to the signal output and input conditioning unit 21, wherein the reference electrode RE is composed of silver nanowires (AgNWs) and polydimethylsiloxane (PDMS), the auxiliary electrode CE is composed of poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate (PEDOT:PSS) and polyimide, and the working electrode WE is composed of silver nanowires (AgNWs) modified with graphene and perfluorosulfonic acid resin, so as to perform detection of the biosensor array 1.

[0067] In a preferred embodiment, the signal output and input conditioning unit 21 includes a signal excitation device and a signal acquisition device.

[0068] The signal excitation device is used to apply a linear scanning voltage signal generated by the control and data processing unit 22 between each working electrode WE and the auxiliary electrode CE in the biosensor array 1 to cause an electrochemical reaction to occur at the electrodes.

[0069] The signal acquisition device is used to collect the weak current signal on each working electrode WE in the biosensor array 1, that is, the current signal caused by the organic small molecules, and convert it into a voltage signal.

[0070] Specifically, the signal acquisition device includes a programmable amplifier and a current signal measurement and conditioning circuit.

[0071] The programmable amplifier is used to collect weak current signals on each working electrode WE in the biosensor array 1. The amplifier gain is adjusted by programming to match different signal sources, thereby determining the optimal signal collection parameters of the amplifier.

[0072] The current measurement conditioning circuit is used to convert the current signal caused by the organic small molecules into a voltage signal and amplify it.

[0073] In a preferred embodiment, the control and data processing unit 22 includes an analog-to-digital converter ADC, a digital-to-analog converter DAC, and a low-power microcontroller MCU.

[0074] The analog-to-digital converter ADC is used to convert the voltage signal conditioned by the signal acquisition device into a digital signal and input it into the microcontroller MCU.

[0075] The digital-to-analog converter DAC is used to generate a linear scanning voltage signal and send it to the signal excitation device.

[0076] The microcontroller MCU is used to inversely calculate the original current signal based on the digital signal, and perform imaging processing to output the in-situ distribution image of the corresponding organic small molecules in the form of a pseudo-color image.

[0077] Specifically, the digital-to-analog converter DAC and the signal excitation device generate a linear scanning voltage signal, and the voltage range of the linear scanning voltage signal is -1V to +1V.

[0078] In a preferred embodiment, the control module 2 and the host computer 3 are connected via a Bluetooth transparent transmission unit.

[0079] Example 2

[0080] like Figure 2 As shown, this embodiment provides a biosensor array monitoring method for plant organic small molecule distribution imaging, comprising the following steps:

[0081] 1) Preparing a biosensor array 1, specifically:

[0082] 1.1) Silver nanowires (AgNWs) and polydimethylsiloxane (PDMS) are used to construct the reference electrode RE of the biosensor.

[0083] Specifically, silver nanowires (AgNWs) were sprayed on a polyimide (PI) substrate, and a template mask was used to pattern and interconnect the cross electrodes; after patterning, a polydimethylsiloxane (PDMS) solution was poured to transfer the AgNWs from PI to PDMS. When the PDMS was completely cured, the PI substrate was removed. The patterned AgNWs substrate was used as a reference electrode RE.

[0084] 1.2) Poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate (PEDOT:PSS) and polyimide are used to form the auxiliary electrode CE of the biosensor.

[0085] 1.3) Silver nanowires (AgNWs) modified with graphene and perfluorosulfonic acid resin are used to form the working electrode WE of the biosensor to obtain the biosensor.

[0086] Specifically, the working electrode WE of the biosensor is constructed using graphene and perfluorosulfonic acid resin modified AgNWs selectively deposited on the interdigitated electrodes.

[0087] 1.4) constructing a biosensor array 1, comprising more than 6 biosensors targeting specific organic small molecules.

[0088] 2) The control and data processing unit 22 calibrates the biosensor array 1 and the signal output and input conditioning unit 21, specifically:

[0089] 2.1) The control and data processing unit 22 calibrates the signal output and input conditioning unit 21 .

[0090] Specifically, the standard RC model is used to judge the current signal collected by the biosensor array 1 to calibrate the output and input conditioning unit 22 to confirm whether it works normally. If the collected current signal is within the estimated range, it is considered that the output and input conditioning unit 22 works normally.

[0091] 2.2) Based on the configured m concentrations of the standard concentration solutions of the analyte, the control and data processing unit 22 calibrates the biosensor array 1:

[0092] 2.2.1) Using the prepared m concentrations of the standard concentration solutions of the analyte, each biosensor in the biosensor array 1 is calibrated, and the voltammetric characteristic curve I of each biosensor in the biosensor array 1 (a total of n biosensors) is calculated. ik (U k ) is smoothed and filtered, and the first-order derivative algorithm is used to determine each volt-ampere characteristic curve I ik (U k ) peak point I ik,max .

[0093] 2.2.2) Each biosensor measures the peak value I in m standard concentration solutions ijm,max , j=1,2,3,…,m, establish a univariate regression model.

[0094] 2.2.3) The two coefficients of the univariate regression model are saved as correction parameter 1 and correction parameter 2 for future use.

[0095] Specifically, for example, three standard concentration solutions of the analyte are prepared, which are 0.1 mol / L, 1 mol / L, and 10 mol / L respectively. The three standard concentration solutions of the analyte are used as samples, and the biosensor array 1 is used to measure them respectively. The corresponding voltage signals are obtained through the signal output and input conditioning unit 21, and the voltage signals are converted into digital signals through the control and data processing unit 22. When calibrating the biosensor array 1, in order to ensure that the data is independent of the instrument hardware, it is necessary to back-calculate the digital signal into the original current signal, and use the current value and concentration to establish a model. For the current data obtained by each biosensor in the biosensor array 1, a univariate regression analysis is performed with the three concentrations to obtain the coefficients of the equation, that is, the calibration parameters.

[0096] 3) The biosensor array 1 is coupled to the living plant sample, and the control and data processing unit 22 generates a linear scanning voltage signal, and applies it to the biosensor array 1 through the calibrated signal output and input conditioning unit 21, specifically:

[0097] 3.1) Coupling the biosensor array 1 with the living plant sample.

[0098] 3.2) The digital-to-analog converter DAC of the control and data processing unit 22 generates a linear scanning voltage signal and sends it to the calibrated output and input conditioning unit 21 .

[0099] 3.3) The signal excitation device of the calibrated signal output and input conditioning unit 21 applies a linear scanning voltage signal between each working electrode WE and auxiliary electrode CE in the biosensor array 1 to cause an electrochemical reaction to occur at the electrodes.

[0100] 4) The biosensor array 1 collects the current signal caused by the corresponding organic small molecules based on the calibrated signal output and the linear scanning voltage signal applied by the input conditioning unit 21, specifically:

[0101] 4.1) During measurement, the control and data processing unit 22 applies a linear scanning voltage signal U between each working electrode WE and the auxiliary electrode CE in the biosensor array 1 through the signal output and input conditioning unit 21 in a time-sharing manner. k , k=1,2,…,m, k is the ordinal number of each voltage value, which ranges from -1V to +1V.

[0102] 4.2) Based on each working electrode WE in the biosensor array 1 i The corresponding linear scanning voltage signal U k The current value I ik , linear scanning voltage signal U k The corresponding current value I ik The volt-ampere characteristic curve I ik (U k ), the current value at its peak is I ik,max It is a function of the concentration of organic small molecules measured at each electrode location, where i=1, 2, 3, ..., n, i is the electrode number, and n is the number of working electrodes.

[0103] 5) The calibrated signal output and input conditioning unit 21 conditions the current signal collected by the biosensor array 1 to obtain a voltage signal, and sends the obtained voltage signal to the control and data processing unit 22 .

[0104] 6) The control and data processing unit 22 analyzes and processes the obtained voltage signal based on the parameters preset by the host computer 3 to obtain the in-situ distribution image of the organic small molecules in vivo, specifically:

[0105] 6.1) The analog-to-digital converter ADC converts the conditioned voltage signal into a digital signal and inputs it into the microcontroller MCU.

[0106] 6.2) The microcontroller MCU obtains the original current signal based on the digital signal, performs imaging processing, and outputs the corresponding in-situ distribution image of the organic small molecules in the form of pseudo-color images:

[0107] 6.2.1) The microcontroller MCU calculates the original current signal based on the digital signal.

[0108] 6.2.2) Since the two parameters (calibration parameter 1 and calibration parameter 2) in the univariate regression model have been obtained by calibration, the obtained original current signal is brought into the univariate regression model to obtain the concentration information of the small molecule to be measured in the living plant sample.

[0109] 6.2.3) Perform imaging processing on the original current signal and output the corresponding in situ distribution image of the organic small molecules in vivo in the form of pseudo-color image.

[0110] Specifically, the mapping relationship in the in vivo in situ distribution image is as follows, where R(x,y), G(x,y), and B(x,y) represent the color values ​​of the R red, G green, and B blue channels, respectively, and f(x,y) represents the measurement value of a specific biosensor:

[0111]

[0112]

[0113]

[0114] The biosensor array monitoring method for plant organic small molecule distribution imaging of the present invention is described in detail below through specific embodiments:

[0115] 1) A biosensor array 1 including 9 biosensors was prepared.

[0116] 2) The control and data processing unit 22 calibrates the biosensor array 1 and the signal output and input conditioning unit 21 .

[0117] 3) The biosensor array 1 is inserted into a living plant sample, i.e., the plant stem of this embodiment. The control and data processing unit 22 generates a linear scanning voltage signal and applies it to the biosensor array 1 through the calibrated signal output and input conditioning unit 21.

[0118] 4) The biosensor array 1 collects the current signal caused by the corresponding organic small molecules based on the calibrated signal output and the linear scanning voltage signal applied by the input conditioning unit 21 .

[0119] Specifically, in this embodiment, the linear scanning voltage signal U k The range is -0.2V~+0.6V, k=1,2,…,200. The WE of each working electrode in the biosensor array is obtained by the current-voltage conversion circuit i The corresponding linear scanning voltage signal U k The current value I ik , since in this embodiment, the biosensor array includes 9 biosensors, i = 1, 2, 3, ..., 9. In this embodiment, the electrode sampling resistance is 10KΩ. The linear scanning voltage signal U k The corresponding current value I ik The volt-ampere characteristic curve I ik (U k ), the current value at its peak is I ik,maxIt is a function of the concentration of small organic molecules measured at each electrode location, such as Figure 3 shown.

[0120] 5) The calibrated signal output and input conditioning unit 21 conditions the current signal collected by the biosensor array 1 to obtain a voltage signal, and sends the obtained voltage signal to the control and data processing unit 22 .

[0121] Specifically, in this embodiment, (1) R = 300Ω, C = 10pF, (2) R = 30Ω, C = 1pF, based on the obtained data, it is determined whether the output and input conditioning unit 21 works normally; then the biosensor array is calibrated using a standard solution of the test object with known 3 concentration values. First, the volt-ampere characteristic curve I of each biosensor is calculated. ik (U k ) is smoothed and filtered, and then the first-order derivative algorithm is used to determine each volt-ampere characteristic curve I ik (U k ) peak point I ik,max , 3 standard solution concentration values ​​and 3 I ik,max A univariate regression model was established, and the two coefficients of the regression model were used as calibration parameters 1 and 2.

[0122] 6) The control and data processing unit 22 analyzes and processes the obtained voltage signal based on the parameters preset by the host computer 3 to obtain the in-situ distribution image of the organic small molecules. In this embodiment, the pseudo-color image output result obtained based on the 3×3 biosensor array (9) is as follows: Figure 4 shown.

[0123] Specifically, when actually testing a living plant sample, the measurement process is the same as measuring a standard solution, and then the current signal data of the organic small molecules at the measurement position can be obtained; the obtained data is applied to the univariate regression model established during calibration. Since the two parameters in the model (calibration parameter 1 and calibration parameter 2) have been calibrated by the standard solution, the current signal can be input into the univariate regression model to obtain the concentration information of the small molecules to be tested in the actual living plant sample.

[0124] The above embodiments are only used to illustrate the present invention, wherein the structure, connection mode and manufacturing process of each component may be changed. Any equivalent transformations and improvements based on the technical solution of the present invention should not be excluded from the protection scope of the present invention.

Claims

1. A biosensor array monitoring system for plant organic small molecule distribution imaging, characterized in that: It comprises a biosensor array and a control module, wherein the biosensor array comprises a plurality of biosensors, and the control module comprises a signal output and input conditioning unit and a control and data processing unit; The biosensor array is used to couple with a living plant sample, and based on the linear scanning voltage signal applied by the signal output and input conditioning unit, respectively detect the concentration of organic small molecules at corresponding positions, and collect the current signal caused by the corresponding organic small molecules; The signal output and input conditioning unit is used to apply the linear scanning voltage signal generated by the control and data processing unit to the biosensor array, and to condition the current signal collected by the biosensor array to obtain a voltage signal; The control and data processing unit is used to calibrate the biosensor array and the signal output and input conditioning unit, generate a linear scanning voltage signal, and analyze and process the obtained voltage signal to obtain an in vivo in-situ distribution image of organic small molecules.

2. A biosensor array monitoring system for plant organic small molecule distribution imaging as claimed in claim 1, characterized in that: The biosensor array includes more than 6 biosensors of specific organic small molecules, and each of the biosensors includes three electrodes: a working electrode, an auxiliary electrode and a reference electrode.

3. A biosensor array monitoring system for plant organic small molecule distribution imaging as claimed in claim 2, characterized in that: The reference electrode is composed of silver nanowires and polydimethylsiloxane, the auxiliary electrode is composed of poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate and polyimide, and the working electrode is composed of silver nanowires modified by graphene and perfluorosulfonic acid resin.

4. A biosensor array monitoring system for plant organic small molecule distribution imaging as claimed in claim 2, characterized in that: The signal output and input conditioning unit comprises: A signal excitation device, used to apply a linear scanning voltage signal generated by the control and data processing unit between each working electrode and the auxiliary electrode in the biosensor array to cause an electrochemical reaction to occur at the electrodes; The signal acquisition device is used to collect the current signal on each working electrode in the biosensor array, that is, the current signal caused by the organic small molecules, and convert it into a voltage signal.

5. A biosensor array monitoring system for plant organic small molecule distribution imaging as claimed in claim 4, characterized in that: The signal acquisition device comprises: A programmable amplifier, used to collect the current signal on each working electrode in the biosensor array, and adjust the amplifier gain through programming to match different signal sources, thereby determining the optimal signal collection parameters of the amplifier; The current measurement conditioning circuit is used to convert the current signal caused by the organic small molecules into a voltage signal and amplify it.

6. A biosensor array monitoring system for plant organic small molecule distribution imaging as claimed in claim 4, characterized in that: The control and data processing unit comprises: An analog-to-digital converter, used to convert the voltage signal conditioned by the signal acquisition device into a digital signal and input it into a microcontroller; A digital-to-analog converter, used for generating a linear scanning voltage signal and sending the signal to the signal excitation device; The microcontroller is used to inversely calculate the original current signal based on the digital signal, and perform imaging processing to output the in-situ distribution image of the corresponding organic small molecules in the form of a pseudo-color image.

7. A biosensor array monitoring method for plant organic small molecule distribution imaging, characterized in that: include: The control and data processing unit calibrates the biosensor array and the signal output and input conditioning unit; The biosensor array is coupled to the living plant sample, and the control and data processing unit generates a linear scanning voltage signal and applies it to the biosensor array through the calibrated signal output and input conditioning unit; The biosensor array collects the current signal caused by the corresponding organic small molecules based on the applied linear scanning voltage signal; The calibrated signal output and input conditioning unit conditions the current signal collected by the biosensor array to obtain a voltage signal, and sends the obtained voltage signal to the control and data processing unit; The control and data processing unit analyzes and processes the obtained voltage signal to obtain the in-situ distribution image of the organic small molecules.

8. The biosensor array monitoring method for plant organic small molecule distribution imaging as claimed in claim 7, characterized in that: The preparation process of the biosensor array is as follows: Silver nanowires and polydimethylsiloxane are used to form the reference electrode of the biosensor; The auxiliary electrode of the biosensor is formed by using poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate and polyimide; The working electrode of the biosensor is formed by using graphene and silver nanowires modified by perfluorosulfonic acid resin to obtain the biosensor; Based on the obtained biosensors, a biosensor array was constructed.

9. The biosensor array monitoring method for plant organic small molecule distribution imaging as claimed in claim 7, characterized in that: The control and data processing unit calibrates the biosensor array and the signal output and input conditioning unit, including: The control and data processing unit calibrates the signal output and input conditioning units: The current signal collected by the biosensor array is judged using a standard resistance-capacitance model to calibrate the output and input conditioning units to confirm whether they are working properly. If the collected current signal is within the estimated range, it is considered that the output and input conditioning units are working properly. The control and data processing unit calibrates the biosensor array: Using the configured m concentrations of the analyte standard concentration solutions, each biosensor in the biosensor array is calibrated, and after smoothing and filtering the volt-ampere characteristic curve of each biosensor in the biosensor array, a first-order derivative algorithm is used to determine the peak point of each volt-ampere characteristic curve; Each biosensor measures the peak value in solutions of m standard concentrations, establishes a univariate regression model, and saves the two coefficients of the univariate regression model as correction parameters for future use.

10. The biosensor array monitoring method for plant organic small molecule distribution imaging as claimed in claim 9, characterized in that: The control and data processing unit analyzes and processes the obtained voltage signal to obtain an in-situ distribution image of the organic small molecules, including: The analog-to-digital converter converts the conditioned voltage signal into a digital signal and inputs it into the microcontroller; The microcontroller back-calculates the original current signal based on the digital signal; The obtained raw current signal is brought into a univariate regression model to obtain the concentration information of the small molecules to be tested in the living plant sample; The original current signal is image-processed and the in-situ distribution image of the corresponding organic small molecules is output as a pseudo-color image.

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