A biosensor array monitoring system and method for imaging the distribution of small organic molecules in plants

Abstract

This invention relates to a biosensor array monitoring system and method for imaging the distribution of small organic molecules in plants. The system includes a biosensor array and a control module. 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 live plant sample and acquire 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 to apply the linear scanning voltage signal to the biosensor array and condition the current signals acquired by the biosensor array to obtain voltage signals. The control and data processing unit is used to calibrate the biosensor array and the signal output and input conditioning unit, generate linear scanning voltage signals, and analyze and process the obtained voltage signals to obtain in-situ distribution images of small organic molecules in the plant. This invention can be widely applied in the field of sensor technology in agriculture.

Description

Technical Field

[0001] This invention relates to the field of sensor technology in agriculture, and in particular to a biosensor array monitoring system and method for imaging the distribution of small organic molecules in plants. Background Technology

[0002] During plant growth, continuous monitoring of the dynamic changes of small molecules and ions within plants using multifunctional, miniaturized sensors is of great significance for early plant disease detection, stress sensing, and growth prediction. Currently, most wearable sensors can only detect physical growth parameters or atmospheric environmental parameters. Therefore, a multifunctional, real-time sensing method and system are needed to achieve highly sensitive and specific tracking of the distribution of plant biochemical signals (such as small molecule organic compounds within plants, like plant hormones).

[0003] For small molecule organic compounds in plants, current technologies all focus on single-point measurements. However, to understand early plant disease detection, stress sensing, and growth patterns, monitoring the signal distribution of small molecule organic compounds (such as plant hormones) is more important, but also more challenging. This includes managing signal-to-noise ratio, sensor array synchronization, and especially the mutual interference during measurement. Currently, no existing technology can achieve a system with high sensitivity, high selectivity, and real-time monitoring of the distribution of small organic molecules in plants. Summary of the Invention

[0004] To address the aforementioned problems, the purpose of this invention is to provide a biosensor array monitoring system and method for imaging the distribution of small organic molecules in plants, which can achieve high sensitivity, high selectivity, and real-time monitoring of the distribution of small organic molecules in plants.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: On the one hand, it provides a biosensor array monitoring system for imaging the distribution of small organic molecules in plants, 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;

[0006] The biosensor array is used to couple with live plant samples. Based on the linear scanning voltage signal applied by the signal output and input conditioning units, the concentration of organic small molecules at corresponding positions is detected, and the current signal caused by the corresponding organic small molecules is collected.

[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 small organic molecules.

[0009] Furthermore, the biosensor array includes more than six biosensors of specific small organic 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 graphene and silver nanowires modified with perfluorosulfonic acid resin.

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

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

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

[0014] Furthermore, the signal acquisition device includes:

[0015] A programmable amplifier is used to acquire the current signal on each of the working electrodes in the biosensor array. The amplification gain of the amplifier is adjusted by programming to match different signal sources, thereby determining the optimal signal acquisition parameters of the amplifier.

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

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

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

[0019] A digital-to-analog converter is used to generate a linear scanning voltage signal and send it to the signal excitation device;

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

[0021] On the other hand, a biosensor array monitoring method for imaging the distribution of small organic molecules in plants is provided, including:

[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 a live plant sample, and the control and data processing unit generates a linear scanning voltage signal, which is then applied to the biosensor array through a calibrated signal output and input conditioning unit.

[0024] The biosensor array acquires the current signal induced by the corresponding small organic 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 an in-situ distribution image of the organic small molecules.

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

[0028] The reference electrode of the biosensor is constructed using silver nanowires and polydimethylsiloxane;

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

[0030] The working electrode of the biosensor was constructed using silver nanowires modified with graphene and perfluorosulfonic acid resin, thus obtaining 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 RC model to calibrate the output and input conditioning units and confirm whether they are working properly. If the collected current signal is within the expected range, the output and input conditioning units are considered to be working properly.

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

[0036] Each biosensor in the biosensor array was calibrated using m pre-prepared standard solutions of the analyte. After smoothing and filtering the volt-ampere characteristic curve of each biosensor in the biosensor array, the peak point of each volt-ampere characteristic curve was determined using the first derivative algorithm.

[0037] The peak value of each biosensor was measured in m standard concentration solutions. A univariate regression model was established, and the two coefficients of the univariate regression model were saved as correction parameters for later 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 to the microcontroller;

[0040] The microcontroller uses digital signals to inversely calculate the original current signal;

[0041] The obtained raw current signal was fed into a univariate regression model to obtain the concentration information of the small molecules to be tested in the live plant sample.

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

[0043] The present invention has the following advantages due to the adoption of the above technical solutions:

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

[0045] 2. The biosensor array of the present invention can simultaneously obtain in-situ spatial distribution information of the concentration of small organic molecules inside plants, which is crucial for understanding plant metabolic biological processes.

[0046] 3. The calibration process of the biosensor array in this invention ensures the consistency of the sensors in the biosensor array, thus ensuring the reliability of the detection.

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

[0048] In summary, this invention can be widely applied in the field of sensor technology in agriculture. Attached Figure Description

[0049] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Throughout the drawings, the same reference numerals denote the same parts. In the drawings:

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

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

[0052] Figure 3 This is a schematic diagram showing the relationship between the voltammetric characteristic curve and the change in the content of small organic molecules provided in an embodiment of the present invention;

[0053] Figure 4 This is a schematic diagram of the pseudo-color image output result based on a 3×3 biosensor array provided in an embodiment of the present invention. Detailed Implementation

[0054] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the invention and to fully convey the scope of the invention to those skilled in the art.

[0055] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0056] Although terms such as first, second, third, etc., may be used in this document to describe multiple elements, components, regions, layers, and / or segments, these elements, components, regions, layers, and / or segments should not be limited by these terms. These terms may be used only to distinguish one element, component, region, layer, or segment from another. Unless the context clearly indicates otherwise, terms such as "first," "second," and other numerical terms used herein do not imply order or sequence. Therefore, the first element, component, region, layer, or segment discussed below may be referred to as the second element, component, region, layer, or segment without departing from the teachings of the exemplary embodiments.

[0057] For ease of description, spatial relative terms may be used in the text to describe the relationship of one element or feature relative to another element or feature as shown in the figure. These relative terms include, for example, "inside," "outside," "middle," "outer," "below," "above," etc. Such spatial relative terms are intended to include different orientations of the device in use or operation, other than those depicted in the figure.

[0058] For small molecule organic compounds in plants, current technologies all focus on single-point measurements. However, to understand early plant disease detection, stress sensing, and growth patterns, monitoring the signal distribution of small molecule organic compounds (such as plant hormones) is more important, but also more challenging. This includes managing signal-to-noise ratio, sensor array synchronization, and especially the mutual interference during measurement. Currently, no existing technology can achieve a system with high sensitivity, high selectivity, and real-time monitoring of the distribution of small organic molecules in plants. This invention provides a biosensor array monitoring system for imaging the distribution of small organic molecules in plants. The system includes a biosensor array and a control module. The biosensor array comprises several biosensors, and the control module includes a signal output and input conditioning unit and a control and data processing unit. The biosensor array is coupled to a live plant sample. Based on a linear scanning voltage signal applied by the signal output and input conditioning unit, it detects the concentration of small organic molecules at corresponding locations and collects the current signals induced by the corresponding small organic molecules. The signal output and input conditioning unit applies the linear scanning voltage signal generated by the control and data processing unit to the biosensor array and conditions the current signals collected by the biosensor array to obtain a voltage signal. The control and data processing unit calibrates the biosensor array and the signal output and input conditioning unit, generates the linear scanning voltage signal, and analyzes and processes the obtained voltage signal to obtain an in-situ distribution image of small organic molecules in the plant. This invention enables highly sensitive and selective measurement of small organic molecules in plants and obtains in-situ spatial distribution information of small organic molecule concentrations within the plant.

[0059] Example 1

[0060] like Figure 1 As shown, this embodiment provides a biosensor array monitoring system for imaging the distribution of small organic molecules in plants, including a biosensor array 1, a control module 2, and a host computer 3. The biosensor array 1 includes several 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 a live plant sample. Based on the linear scanning voltage signal applied by the signal output and input conditioning unit 21, it detects the concentration of organic small molecules at corresponding positions and collects 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 the 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 scan voltage signal, the gain control of the programmable amplifier in the signal output and input conditioning unit 21, and the selection of the filtering mode. 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 biosensors of more than 6 specific small organic molecules, for example, it may be a 3×3 abscisic acid (ABA) array sensor.

[0066] Specifically, each biosensor includes three electrodes: 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. 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 graphene and perfluorosulfonic acid resin-modified silver nanowires (AgNWs) for detection by 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 auxiliary electrode CE in the biosensor array 1, so that the electrodes undergo an electrochemical reaction.

[0069] The signal acquisition device is used to acquire the weak current signal on each working electrode WE in the biosensor array 1, that is, the current signal caused by the organic small molecule, 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 acquire the weak current signal on each working electrode WE in the biosensor array 1. The amplification gain of the amplifier is adjusted by programming to match different signal sources, thereby determining the optimal signal acquisition parameters of the amplifier.

[0072] The current measurement conditioning circuit is used to convert the current signal caused by small organic 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] An analog-to-digital converter (ADC) is used to convert voltage signals conditioned by a signal acquisition device into digital signals, which are then input to a microcontroller (MCU).

[0075] A digital-to-analog converter (DAC) is used to generate a linear scanning voltage signal and send it to a 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 a pseudo-color image of the in-situ distribution of the corresponding organic small molecules.

[0077] Specifically, the digital-to-analog converter (DAC) and the signal excitation device generate a linear scanning voltage signal with a voltage range of -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 imaging the distribution of small organic molecules in plants, including the following steps:

[0081] 1) Fabrication of biosensor array 1, specifically:

[0082] 1.1) The reference electrode RE of the biosensor is constructed using silver nanowires (AgNWs) and polydimethylsiloxane (PDMS).

[0083] Specifically, silver nanowires (AgNWs) were sprayed onto a polyimide (PI) substrate, and cross electrodes were patterned and interconnected using a template mask. After patterning, a polydimethylsiloxane (PDMS) solution was poured in to transfer the AgNWs from the PI to the PDMS. After the PDMS had completely cured, the PI substrate was removed. The patterned AgNWs substrate was used as a reference electrode (RE).

[0084] 1.2) The auxiliary electrode CE of the biosensor is constructed using poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate (PEDOT:PSS) and polyimide.

[0085] 1.3) The working electrode WE of the biosensor is constructed using silver nanowires (AgNWs) modified with graphene and perfluorosulfonic acid resin, thus obtaining the biosensor.

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

[0087] 1.4) Construct a biosensor array 1, including more than 6 biosensors targeting specific small organic 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 as follows:

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

[0090] Specifically, the current signal collected by the biosensor array 1 is judged using a standard RC model to calibrate the output and input conditioning unit 22 and confirm whether it is working properly. If the collected current signal is within the expected range, the output and input conditioning unit 22 is considered to be working properly.

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

[0092] 2.2.1) Using m prepared standard solutions of the analyte at different concentrations, each biosensor in biosensor array 1 is calibrated. The volt-ampere characteristic curves I of each biosensor (n in total) in biosensor array 1 are obtained. ik (U k After smoothing filtering, the first-order derivative algorithm is used to determine the characteristic curve I for each volt-ampere. ik (U k Peak point I ik,max .

[0093] 2.2.2) The peak value I of each biosensor was measured in m standard concentration solutions. ijm,max Let j = 1, 2, 3, ..., m, and establish a univariate regression model.

[0094] 2.2.3) Save the two coefficients of the univariate regression model as correction parameter 1 and correction parameter 2 for later use.

[0095] Specifically, for example, three standard solutions of the analyte with concentrations of 0.1 mol / L, 1 mol / L, and 10 mol / L are prepared. These three standard solutions are used as samples and measured using the biosensor array 1. The corresponding voltage signals are obtained through the signal output and input conditioning unit 21, and then converted into digital signals by the control and data processing unit 22. During the calibration of the biosensor array 1, to ensure data independence from instrument hardware, the digital signals need to be converted back into raw current signals, and a model is established using the current values ​​and concentrations. A univariate regression analysis is performed on the current data obtained from each biosensor in the biosensor array 1 with the three concentrations to obtain the coefficients of the equation, i.e., the calibration parameters.

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

[0097] 3.1) Couple the biosensor array 1 with the live 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 conditioning unit 21 after calibration 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 in the electrode.

[0100] 4) Based on the calibrated signal output and the linear scan voltage signal applied by the input conditioning unit 21, the biosensor array 1 acquires the current signal induced by the corresponding small organic molecules, 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 auxiliary electrode CE in the biosensor array 1 in a time-division manner through the signal output and input conditioning unit 21. k k = 1, 2, ..., m, where k is the ordinal number of each voltage value, ranging from -1V to +1V.

[0102] 4.2) Based on each working electrode WE in biosensor array 1 i The corresponding linear scanning voltage signal U k The current value I ik Linear scanning voltage signal U k With the corresponding current value I ik Constructing the current-voltage characteristic curve I ik (U k The peak current value I ik,max The concentration of small organic molecules measured at each electrode location is a function of the concentration of small organic 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 an in-situ distribution image of the organic small molecules, specifically:

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

[0106] 6.2) The microcontroller (MCU) calculates the original current signal based on the digital signal and performs imaging processing to output a pseudo-color image of the in-situ distribution of the corresponding organic small molecules:

[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 through calibration, the obtained raw current signal is substituted into the univariate regression model to obtain the concentration information of the small molecules to be tested in the live plant sample.

[0109] 6.2.3) The original current signal is processed into an image to output a pseudo-color image of the in-situ distribution of the corresponding organic small molecules.

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

[0111]

[0112]

[0113]

[0114] The following detailed embodiments illustrate the biosensor array monitoring method for imaging the distribution of small organic molecules in plants according to the present invention:

[0115] 1) Fabrication of a biosensor array comprising 9 biosensors 1.

[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) Insert the biosensor array 1 into the living plant sample, i.e., the plant stem of this embodiment, and the control and data processing unit 22 generates a linear scanning voltage signal, which is applied to the biosensor array 1 through the calibrated signal output and input conditioning unit 21.

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

[0119] Specifically, in this embodiment, the linear scanning voltage signal U k The voltage range is -0.2V to +0.6V, k = 1, 2, ..., 200. The voltage (WE) of each working electrode in the biosensor array is obtained through a current-to-voltage conversion circuit. i The corresponding linear scanning voltage signal U k The current value I ik In this embodiment, the biosensor array includes 9 biosensors, i = 1, 2, 3, ..., 9. In this embodiment, the electrode sampling resistor is 10 kΩ. Linear scan voltage signal U k With the corresponding current value I ik Constructing the current-voltage characteristic curve I ik (U k The peak current value I ik,maxThe concentration of small organic molecules measured at each electrode location is a function of the concentration of small organic molecules, such as... Figure 3 As 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 is working properly; then, the biosensor array is calibrated using a standard solution of the analyte with three known concentration values. First, the voltammetric characteristic curve I of each biosensor is... ik (U k Smoothing filtering is performed, and then the first-order derivative algorithm is used to determine the characteristic curve I for each volt-ampere. ik (U k Peak point I ik,max The concentration values ​​of the three standard solutions and the three I ik,max Establish a univariate regression model, and use the two coefficients of the regression model as calibration parameter 1 and calibration parameter 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 an in-situ distribution image of organic small molecules. In this embodiment, the pseudo-color image output result based on the 3×3 biosensor array (9 sensors) is as follows: Figure 4 As shown.

[0123] Specifically, when actually testing live plant samples, the measurement process is the same as that for measuring standard solutions, and the current signal data of small organic molecules at the measurement location can then be obtained. The obtained data is then 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 live plant sample.

[0124] The above embodiments are only used to illustrate the present invention. The structure, connection method and manufacturing process of each component can be varied. All equivalent transformations and improvements made on the basis of 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 imaging the distribution of small organic molecules in plants, characterized in that, It includes 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 live plant samples. Based on the linear scanning voltage signal applied by the signal output and input conditioning units, the concentration of organic small molecules at corresponding positions is detected, 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 an in vivo in-situ distribution image of organic small molecules. The biosensor array includes more than six biosensors of specific small organic molecules, and each of the biosensors includes three electrodes: a working electrode, an auxiliary electrode, and a reference electrode. 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 graphene and silver nanowires modified with perfluorosulfonic acid resin.

2. The biosensor array monitoring system for imaging the distribution of small organic molecules in plants as described in claim 1, characterized in that, The signal output and input conditioning unit includes: A signal excitation device is used to apply a linear scanning voltage signal generated by the control and data processing unit between each working electrode and auxiliary electrode in the biosensor array, so as to cause an electrochemical reaction at the electrode. The signal acquisition device is used to acquire the current signal on each working electrode in the biosensor array, that is, the current signal caused by the corresponding small organic molecules, and convert it into a voltage signal.

3. The biosensor array monitoring system for imaging the distribution of small organic molecules in plants as described in claim 2, characterized in that, The signal acquisition device includes: A programmable amplifier is used to acquire the current signal on each of the working electrodes in the biosensor array. The amplification gain of the amplifier is adjusted by programming to match different signal sources, thereby determining the optimal signal acquisition parameters of the amplifier. The current measurement conditioning circuit is used to convert the current signal caused by small organic molecules into a voltage signal and amplify it.

4. The biosensor array monitoring system for imaging the distribution of small organic molecules in plants as described in claim 2, characterized in that, The control and data processing unit includes: An analog-to-digital converter is used to convert the voltage signal conditioned by the signal acquisition device into a digital signal and input it to the microcontroller; A digital-to-analog converter is used to generate a linear scanning voltage signal and send it to the signal excitation device; The microcontroller is used to calculate the original current signal based on the digital signal and perform imaging processing to output a pseudo-color image of the in-situ distribution of the corresponding organic small molecules.

5. A method for monitoring the distribution of plant organic small molecules using a biosensor array based on the biosensor array monitoring system for plant organic small molecule distribution imaging according to any one of claims 1 to 4, 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 a live plant sample, and the control and data processing unit generates a linear scanning voltage signal, which is then applied to the biosensor array through a calibrated signal output and input conditioning unit. The biosensor array acquires the current signal induced by the corresponding small organic 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 an in-situ distribution image of the organic small molecules.

6. The biosensor array monitoring method for imaging the distribution of small organic molecules in plants as described in claim 5, characterized in that, The fabrication process of the biosensor array is as follows: The reference electrode of the biosensor is constructed using silver nanowires and polydimethylsiloxane; The auxiliary electrode of the biosensor is constructed using poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate and polyimide; The working electrode of the biosensor was constructed using silver nanowires modified with graphene and perfluorosulfonic acid resin, thus obtaining the biosensor. Based on the obtained biosensors, a biosensor array was constructed.

7. The biosensor array monitoring method for imaging the distribution of small organic molecules in plants as described in claim 5, 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 RC model to calibrate the output and input conditioning units and confirm whether they are working properly. If the collected current signal is within the expected range, the output and input conditioning units are considered to be working properly. The control and data processing unit calibrates the biosensor array: Each biosensor in the biosensor array was calibrated using m pre-prepared standard solutions of the analyte. After smoothing and filtering the volt-ampere characteristic curve of each biosensor in the biosensor array, the peak point of each volt-ampere characteristic curve was determined using the first derivative algorithm. The peak value of each biosensor was measured in m standard concentration solutions. A univariate regression model was established, and the two coefficients of the univariate regression model were saved as correction parameters for later use.

8. The biosensor array monitoring method for imaging the distribution of small organic molecules in plants as described in claim 7, 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 to the microcontroller; The microcontroller uses digital signals to inversely calculate the original current signal; The obtained raw current signal was fed into a univariate regression model to obtain the concentration information of the small molecules to be tested in the live plant sample. The original current signal is processed into an image to output a pseudo-color image of the in-situ distribution of the corresponding organic small molecules.

Images