A method and system for parallel detection of sewage components based on a micro-nanopore array

Abstract

The application provides a sewage component parallel detection method and system based on a micro-nanopore array, which comprises the following steps: applying a first electric field parameter to a detection area of the micro-nanopore array, so that the sewage to be detected is in contact with a nanometer film; obtaining micro-current change data of the sewage to be detected and the nanometer film in an adsorption process based on a micro-current detection system; fitting a component detection curve based on the micro-current change data to determine a first target component type and a first component content in the sewage to be detected; adjusting the detection area from the first electric field parameter to a second electric field parameter based on the first target component type and the component content, obtaining a second target component type and a second component content under the second electric field parameter; and determining a final target component type and a final component content based on the first target component type, the first component content, the second target component type and the second component content. The application improves the detection efficiency and accuracy of sewage components.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a parallel detection method and system for wastewater components based on micro-nano pore arrays. Background Technology

[0002] In the field of wastewater composition detection, traditional methods, such as filtration, pH testing, dissolved oxygen detection systems, heavy metal detection systems, and absorbance experiments, can detect multiple indicators in wastewater. However, these methods often target single or a few components individually, resulting in cumbersome and time-consuming processes that cannot achieve rapid, parallel detection of multiple components in wastewater. As wastewater composition becomes increasingly complex, the demands for detection efficiency and accuracy are constantly rising, making traditional methods insufficient to meet practical needs. Summary of the Invention

[0003] This invention provides a parallel detection method and system for wastewater components based on micro-nano pore arrays, aiming to improve the detection efficiency and accuracy of wastewater components.

[0004] In a first aspect, the present invention provides a parallel detection method for wastewater components based on a micro / nano pore array, wherein a nanofilm is uniformly deposited on the inner wall of the micro / nano pores of the micro / nano pore array, and the nanofilm has specific affinity sites for the target components; the method includes:

[0005] The wastewater to be tested is input into the detection area of ​​the micro-nano pore array, and a first electric field parameter is applied to the detection area to make the wastewater to be tested contact with the nanofilm; during the contact process, the target component in the wastewater to be tested is adsorbed onto the specific affinity sites of the nanofilm;

[0006] The microcurrent detection system acquires microcurrent change data between the wastewater to be tested and the nanofilm during the adsorption process; the microcurrent detection system is connected to multiple outlets of the micro-nano pore array.

[0007] The component detection curve is obtained by fitting the microcurrent change data, and the type and content of the first target component in the wastewater to be tested are determined based on the component detection curve.

[0008] Based on the first target component type and its content, the detection area is adjusted from the first electric field parameter to the second electric field parameter, and the second target component type and its content under the second electric field parameter are obtained;

[0009] Based on the first target component type and its first component content, and the second target component type and its second component content, the final target component type and its final component content are determined.

[0010] According to the parallel detection method for wastewater components based on micro / nano pore arrays provided by the present invention, determining the final target component type and its final component content based on the first target component type and its first component content, and the second target component type and its second component content, includes:

[0011] The first target component type and the second target component type are intersected to determine the common component type between the first target component type and the second target component type;

[0012] Based on the first target component type and the common component type, a first individual component type that appears only in the first target component type is determined, and based on the second target component type and the common component type, a second individual component type that appears only in the second target component type is determined;

[0013] For each first component in the common component type, determine the difference between its content in the first component content and its content in the second component content;

[0014] Based on the content difference of each first component of the first individual component type, the second individual component type, and the common component type, the final target component type and its final component content are determined.

[0015] According to the parallel detection method for wastewater components based on micro / nano pore arrays provided by the present invention, determining the final target component type and its final component content based on the content difference of each first component of the first individual component type, the second individual component type, and the common component type includes:

[0016] For each first component, if the difference in its content is greater than a preset fluctuation threshold, the first component is classified into the first content fluctuation component type set; if the difference in its content is less than or equal to the preset fluctuation threshold, the first component is classified into the second content fluctuation component type set.

[0017] For each second component in the first set of content fluctuation component types, if it belongs to the first individual component type and / or the second individual component type, the second component is classified into the first set of content fluctuation component types to obtain the updated first set of content fluctuation component types.

[0018] The updated set of first content fluctuation component types is determined as the final target component type;

[0019] The final component content of each third component is determined based on the type set to which each third component belongs in the final target component type.

[0020] According to the parallel detection method for wastewater components based on micro / nano pore arrays provided by the present invention, determining the final component content of each third component according to the type set to which each third component belongs in the final target component type includes:

[0021] For each third component in the final target component type, if the third component belongs to the first content fluctuation component type set and does not belong to the first individual component type or / and the second individual component type, the final component content is determined based on the average content of the third component in the first component content and the content of the third component in the second component content.

[0022] If the third component belongs to the first set of component types with fluctuating content and also belongs to the first individual component type, then the content of the third component in the content of the first component is determined as the final component content.

[0023] If the third component belongs to the first set of component types with fluctuating content and also belongs to the second single component type, then the content of the third component in the content of the second component is determined as the final component content.

[0024] According to the parallel detection method for wastewater components based on micro / nano pore arrays provided by the present invention, adjusting the detection area from the first electric field parameter to the second electric field parameter based on the first target component type and its content includes:

[0025] Based on the electric field strength in the first electric field parameter, the contact area between the target component and the nanofilm in the detection area in the first target component type, the average time of the adsorption reaction between the target component and the nanofilm under the current electric field condition corresponding to the first electric field parameter, and the charge of the target component, the evaluation value of the effect strength of the current electric field on the target component is determined.

[0026] Based on the content of the first component, the number of specific affinity sites of the nanofilm, and the adsorption rate constant and adsorption reaction time of the target component under the current electric field conditions, the adsorption saturation of the target component on the nanofilm is determined.

[0027] Based on the assessed intensity of the action and the adsorption saturation, the direction for adjusting the electric field parameters is determined.

[0028] The detection area is adjusted from the first electric field parameter to the second electric field parameter based on the adjustment direction of the electric field parameter.

[0029] According to the parallel detection method for wastewater components based on micro / nano pore arrays provided by the present invention, adjusting the detection region from the first electric field parameter to the second electric field parameter based on the electric field parameter adjustment direction includes:

[0030] Based on the initial concentration of the target component in the wastewater to be tested, the number of specific affinity sites of the nanofilm and the adsorption equilibrium constant, the equilibrium state parameters are predicted to obtain the equilibrium adsorption amount.

[0031] The adjustment range of the electric field parameters is determined based on the equilibrium adsorption amount, the content of the first component, the charge of the target component, the first electric field parameter, and the adjustment direction of the electric field parameter.

[0032] The second electric field parameter is determined based on the first electric field parameter and the adjustment range of the electric field parameter, and the detection area is adjusted from the first electric field parameter to the second electric field parameter.

[0033] The parallel detection method for wastewater components based on micro / nano pore arrays provided by the present invention obtains a component detection curve by fitting the microcurrent change data, including:

[0034] The microcurrent change data is divided into multiple time windows of equal size according to the detection time sequence, and the local extreme points of the microcurrent in each time window are extracted.

[0035] A time interval sequence is constructed based on the time interval between adjacent local extreme points within each time window, and the time interval sequence within each time window is correlated and transformed with the corresponding microcurrent extreme point value to obtain the correlated and transformed sequence.

[0036] The sequences after correlation transformation of all time windows are merged into a new sequence, and a preset sliding window is slid in the new sequence. The reconstructed sequence is obtained based on the average value of the data within each sliding window.

[0037] Based on piecewise linear interpolation, the component detection curve is obtained by fitting the index of the reconstructed sequence as the x-axis and the value of the reconstructed sequence as the y-axis.

[0038] Secondly, the present invention also provides a parallel detection system for wastewater components based on a micro / nano pore array, applied to the parallel detection method for wastewater components based on a micro / nano pore array as described in any of the first aspects; the inner walls of the micro / nano pore array are uniformly deposited with nanofilms, the nanofilms having specific affinity sites for the target components; the system includes:

[0039] A flow control module is used to input the wastewater to be tested into the detection area of ​​the micro-nano pore array and apply a first electric field parameter to the detection area so that the wastewater to be tested comes into contact with the nanofilm; during the contact process, the target component in the wastewater to be tested is adsorbed onto the specific affinity sites of the nanofilm;

[0040] A current data acquisition module is used to acquire microcurrent change data of the wastewater to be tested and the nanofilm during the adsorption process based on a microcurrent detection system; the microcurrent detection system is connected to multiple outlets of the micro-nano pore array;

[0041] The first wastewater detection module is used to fit the microcurrent change data to obtain a component detection curve, and to determine the type and content of the first target component in the wastewater to be detected based on the component detection curve.

[0042] The second wastewater detection module is used to adjust the detection area from the first electric field parameter to the second electric field parameter based on the first target component type and its content, and to obtain the second target component type and its content under the second electric field parameter.

[0043] The analysis module is used to determine the final target component type and its final component content based on the first target component type and its first component content, and the second target component type and its second component content.

[0044] The present invention also provides an electronic device, comprising: a memory for storing computer software programs; and a processor for reading and executing the computer software programs, thereby realizing the parallel detection method for wastewater components based on micro-nano pore arrays as described above.

[0045] The present invention also provides a non-transitory computer-readable storage medium storing a computer software program, which, when executed by a processor, implements the parallel detection method for wastewater components based on micro-nano pore arrays as described above.

[0046] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the parallel detection method for wastewater components based on micro-nano pore arrays as described above.

[0047] The parallel detection method and system for wastewater components based on micro / nano pore arrays provided in this invention can simultaneously detect multiple components in wastewater because the micro / nano pore arrays can interact with multiple components in the wastewater at the same time. Furthermore, the electrical signal detection and data analysis can be performed rapidly, shortening the wastewater detection time and improving the detection efficiency. On the other hand, the specific affinity of the nanofilm and the use of a high-precision microcurrent detection system significantly improve the accuracy of the wastewater component detection results, effectively solving the problems of low detection efficiency, difficulty in parallel detection of multiple components, and insufficient accuracy of traditional detection methods. Attached Figure Description

[0048] Figure 1 This is a schematic diagram of the parallel detection method for wastewater components based on micro-nano pore arrays provided by the present invention;

[0049] Figure 2 This is a schematic diagram of the parallel detection system for wastewater components based on micro-nano pore arrays provided by the present invention;

[0050] Figure 3 A schematic diagram of an embodiment of the electronic device provided in this invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0053] In the description of this invention, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed herein.

[0054] Optional, see below Figure 1 , Figure 1 This is a schematic diagram of the parallel detection method for wastewater components based on micro / nano pore arrays provided by the present invention. In this embodiment, the main body executing the parallel detection method for wastewater components based on micro / nano pore arrays is a wastewater component parallel detection system. The inner walls of the micro / nano pores in the micro / nano pore array are uniformly deposited with nanofilms, which possess specific affinity sites for the target components. Therefore, the parallel detection method for wastewater components based on micro / nano pore arrays includes:

[0055] Step 10: The wastewater to be tested is input into the detection area of ​​the micro / nano pore array, and a first electric field parameter is applied to the detection area to bring the wastewater into contact with the nanofilm. During the contact process, the target component in the wastewater is adsorbed onto the specific affinity sites of the nanofilm.

[0056] Optionally, the nanofilm in this embodiment of the invention has a specific chemical structure, and its surface has specific affinity sites that can selectively bind to specific target components in wastewater. Therefore, the wastewater component parallel detection system inputs the wastewater to be detected into the detection area of ​​the micro-nano pore array, wherein the detection area is specially designed to ensure that the wastewater is uniformly distributed therein and fully contacts the nanofilm.

[0057] Furthermore, the parallel wastewater component detection system applies a first electric field parameter to the detection area, which can enhance the migration ability of target components in the wastewater to be tested, allowing them to move more efficiently toward the nanofilm and undergo adsorption reactions. The electric field parameter includes electric field strength and direction. Under the influence of the electric field, charged target components in the wastewater to be tested will move toward the nanofilm driven by the electric field force, while uncharged target components will also approach the nanofilm due to fluid flow and other factors caused by the electric field, ultimately adsorbing onto the specific affinity sites of the nanofilm. In one embodiment, the system detects whether industrial wastewater contains heavy metal ions (such as copper ions Cu). 2+The detection area of ​​the micro / nanopore array contains nanofilms with specific affinity sites for copper ions and benzene. Industrial wastewater to be tested is introduced into the detection area through a pipe. A DC power supply is used to apply an electric field with a strength of 10 V / cm, perpendicular to the surface of the nanofilm. Under the influence of the electric field, copper ions in the wastewater migrate towards the nanofilm, and benzene molecules approach the nanofilm with the water flow. Ultimately, copper ions bind to the specific affinity sites on the nanofilm, and benzene molecules adsorb onto the corresponding specific affinity sites.

[0058] Step 20: Acquire microcurrent change data of the wastewater and nanofilm during the adsorption process using a microcurrent detection system. The microcurrent detection system is connected to multiple outlets of the micro / nanopore array.

[0059] Furthermore, when the target component adsorbs onto the nanofilm, it causes a change in the surface charge distribution of the nanofilm, which in turn alters the microcurrent passing through it. In this embodiment of the invention, the microcurrent detection system typically consists of a highly sensitive current sensor, a signal amplifier, and a data acquisition card. The microcurrent detection system is connected to multiple outlets of the micro / nanochannel array, enabling real-time monitoring and recording of these microcurrent changes. Therefore, the current sensor senses the changes in microcurrent and converts the weak current signal into an electrical signal; the signal amplifier amplifies this electrical signal for subsequent data acquisition; and the data acquisition card converts the amplified electrical signal into a digital signal at a specific sampling frequency and stores it, forming microcurrent change data.

[0060] Continuing with the example of industrial wastewater detection, the current sensor in the microcurrent detection system employs a high-sensitivity sensor based on nanomaterials, capable of detecting current changes at the picoampere level. When copper ions and benzene molecules in the industrial wastewater adsorb onto the nanofilm, the charge distribution on the nanofilm surface changes, leading to a change in the microcurrent passing through the nanofilm. The current sensor in the microcurrent detection system detects this change, converts the weak current signal into an electrical signal, amplifies it 1000 times, and then collects it using a data acquisition card at a sampling frequency of 1000Hz. The analog electrical signal is converted into a digital signal and stored, yielding data on the microcurrent change over time during the adsorption process.

[0061] Step 30: Obtain the component detection curve by fitting the microcurrent change data, and determine the type and content of the first target component in the wastewater to be tested based on the component detection curve.

[0062] Furthermore, during the adsorption process of the target component and the nanofilm, there is a certain correlation between the change in microcurrent and the type and content of the target component. Therefore, the parallel wastewater component detection system fits the microcurrent change data to obtain a component detection curve that reflects this relationship, as described in steps 301 to 304. Further, the parallel wastewater component detection system determines the type and content of the first target component in the wastewater to be tested by analyzing the component detection curve. Specifically, based on a pre-established standard curve database or model, the fitted component detection curve is compared and analyzed to determine the type and content of the first target component.

[0063] In this embodiment of the invention, the pre-established standard curve database or model is obtained by detecting standard wastewater samples with known components and contents, obtaining corresponding microcurrent change data, fitting curves, and establishing the correspondence between component type, content and curve characteristics.

[0064] Continuing with the above examples of industrial wastewater detection, for instance, the collected microcurrent change data is fitted to obtain a component detection curve with time as the abscissa and microcurrent as the ordinate. Standard curves for copper ions and benzene are available in the standard curve database. Comparing the fitted component detection curve with the standard curves reveals that the curve's characteristics match the copper ion standard curve within a certain range, but differ significantly from the benzene standard curve. Therefore, copper ions are identified as the first target component. Further analysis of the curve's peak value, slope, and other characteristic parameters, combined with the correspondence between the copper ion content in the standard curve and the curve's characteristic parameters, calculates the first component content of copper ions in the industrial wastewater to be 5 mg / L.

[0065] Step 40: Based on the type and content of the first target component, adjust the detection area from the first electric field parameter to the second electric field parameter, and obtain the type and content of the second target component under the second electric field parameter.

[0066] Furthermore, different target components exhibit different migration and adsorption behaviors in wastewater under different electric field parameters. By adjusting the electric field parameters, the interaction between the target component and the nanofilm can be altered, enabling the target component that was not fully adsorbed or detected under the first electric field parameter to adsorb onto the nanofilm, thereby achieving the detection of multiple components.

[0067] Therefore, the parallel detection system for wastewater components adjusts the detection area from the first electric field parameter to the second electric field parameter according to the type and content of the first target component. The adjustment parameters include changing the electric field strength, electric field direction, electric field waveform, etc., as described in steps 401 to 404.

[0068] Furthermore, after the adjustment is completed, the adsorption process of wastewater and nanofilm is carried out again, and the corresponding microcurrent change data is obtained using a microcurrent detection system. The type of the second target component and its content are determined by a method similar to that in step 0, which will not be elaborated here.

[0069] Continuing with the example of industrial wastewater detection, the first target component is known to be copper ions at a concentration of 5 mg / L. Based on the properties of benzene molecules, the electric field parameters of the detection area are adjusted from a first electric field with an intensity of 10 V / cm and a direction perpendicular to the nanofilm surface to a second electric field with an intensity of 15 V / cm and a direction parallel to the nanofilm surface. The industrial wastewater is then input into the detection area again, allowing it to adsorb onto the nanofilm. Microcurrent changes are then acquired using a microcurrent detection system. By fitting the data and comparing it with a standard curve, the second target component is determined to be benzene at a concentration of 2 mg / L.

[0070] Step 50: Based on the first target component type and its first component content, and the second target component type and its second component content, determine the final target component type and its final component content.

[0071] Furthermore, the wastewater component parallel detection system performs a comprehensive analysis based on the first target component type and its content, as well as the second target component type and its content, to determine the final target component type and its content, as described in steps 501 to 504.

[0072] In this invention, the micro-nano pore array can simultaneously interact with multiple components in wastewater, thus enabling the detection of multiple components at once. Furthermore, electrical signal detection and data analysis can be performed rapidly, shortening wastewater detection time and improving detection efficiency. On the other hand, the specific affinity of the nanofilm and the use of a high-precision microcurrent detection system significantly improve the accuracy of wastewater component detection results.

[0073] In one embodiment, steps 301 to 304 are described as follows:

[0074] Step 301: Divide the microcurrent change data into multiple time windows of equal size according to the detection time sequence, and extract the local extreme points of the microcurrent in each time window.

[0075] Optionally, first determine the size T of the time window. window The size of this window can be determined comprehensively based on factors such as the duration of the detection process and the data sampling frequency. Then, starting from the beginning time of the microcurrent change data, the data is divided sequentially according to the size of the time window to obtain multiple time windows of equal size.

[0076] Furthermore, within each time window, by traversing the data points and comparing the magnitudes of adjacent data points, local maxima and minima are identified as local extrema. In the example of industrial wastewater detection, for instance, a micro-current detection system collects data at a sampling frequency of 1000Hz for a total detection time of 10 seconds, obtaining 10,000 data points. The time window size T is set. window The time window is 1 second, meaning each time window contains 1000 data points. Starting from the first data point, the data is divided into 10 time windows. Within the first time window, by traversing these 1000 data points and comparing the values ​​of adjacent data points, local maxima and minima are identified. For example, within this time window, the 100th data point is a local maximum, and the 300th data point is a local minimum; these two points are considered local extrema within that time window.

[0077] Step 302: Construct a time interval sequence based on the time interval between adjacent local extreme points within each time window, and perform a correlation transformation between the time interval sequence within each time window and the corresponding microcurrent extreme point value to obtain the correlation transformed sequence.

[0078] Furthermore, for each time window, the time interval between adjacent local extrema is calculated to form a time interval sequence. Then, mathematical operations, such as multiplication, division, and exponentiation, are performed on each element in the time interval sequence with the corresponding microcurrent extremum value to obtain the sequence after correlation transformation.

[0079] Continuing with the industrial wastewater detection example above, for the first time window, for instance, the time interval between adjacent local extrema (the 100th and 300th data points) is 200 sampling intervals (i.e., 0.2 seconds). This time interval is multiplied by the corresponding values ​​of the two extrema. If the microcurrent value corresponding to the 100th data point is 10 pA and the microcurrent value corresponding to the 300th data point is -5 pA, then a new associated data point is obtained (200*10, 200*(-5)), i.e., (2000, -1000). The same operation is performed on all adjacent local extrema within this time window to obtain the associated transformed sequence of this time window.

[0080] Step 303: Merge the transformed sequences of all time windows into a new sequence, slide a preset sliding window in the new sequence, and obtain the reconstructed sequence based on the average value of the data within each sliding window.

[0081] Furthermore, the transformed sequences of all time windows are sequentially concatenated to form a new sequence. Then, the sliding window size W is set. windowStarting from the beginning of the new sequence, each data point is slid across the window, and the average value of the data within the sliding window is calculated. This average value is then used as the value at the corresponding position in the reconstructed sequence. Continuing in the industrial wastewater detection, the transformed sequences of 10 time windows are sequentially connected to obtain a new sequence. The sliding window size W is set. window Given a value of 5, starting from the first data point of the new sequence, calculate the average of the first 5 data points as the first value of the reconstructed sequence; then slide one data point and calculate the average of the 2nd to 6th data points as the second value of the reconstructed sequence, and so on, until the entire new sequence is traversed to obtain the reconstructed sequence.

[0082] Step 304: Based on piecewise linear interpolation, fit the reconstructed sequence index as the x-axis and the reconstructed sequence value as the y-axis to obtain the component detection curve.

[0083] Furthermore, based on the length of the reconstructed sequence, the sequence index (starting from 1) is used as the x-axis, and the sequence value is used as the y-axis. For two adjacent data points (x1, y1) and (x2, y2), the linear equation y=y1+[(y2-y1) / (x2-x1)]*(x-x1) is used to determine the line segment between the two points, where x is the x-axis variable, x1≤x≤x2. Connecting the line segments between all adjacent data points forms the component detection curve.

[0084] Continuing with the reconstructed sequence of industrial wastewater detection, for example, a reconstructed sequence of length 1000, we use indices 1-1000 as the x-axis and the corresponding sequence values ​​as the y-axis. For adjacent data points (1, 10) and (2, 12), we use the linear equation described above to calculate the line segment between the two points. When x varies between 1 and 2, the corresponding y-value can be obtained. We perform the same operation on all adjacent data points, connecting all the line segments to obtain the component detection curve.

[0085] The component detection curve obtained in the embodiments of the present invention can clearly and accurately reflect the change trend of microcurrent over time. Therefore, the adsorption process of the target component can be understood by the change trend, thus providing a reliable data basis for subsequent determination of the type and content of the target component based on the curve characteristics.

[0086] In one embodiment, steps 401 to 404 are described as follows:

[0087] Step 401: Based on the electric field strength in the first electric field parameter, the contact area between the target component and the nanofilm in the detection area in the first target component type, the average time of the adsorption reaction between the target component and the nanofilm under the current electric field condition corresponding to the first electric field parameter, and the charge of the target component, determine the evaluation value of the effect strength of the current electric field on the target component.

[0088] Optionally, the parallel wastewater component detection system acquires the electric field strength in the first electric field parameters, the contact area between the target component and the nanofilm in the detection area for the first target component type, the average time of the adsorption reaction between the target component and the nanofilm under the current electric field conditions corresponding to the first electric field parameters, and the charge of the target component. Based on the electric field strength in the first electric field parameters, the contact area between the target component and the nanofilm in the detection area for the first target component type, the average time of the adsorption reaction between the target component and the nanofilm under the current electric field conditions corresponding to the first electric field parameters, and the charge of the target component, it determines the evaluation value I of the effect intensity of the current electric field on the target component. eval The specific formula is: I eval =(E1*q*S) / t avg Where E1 represents the electric field strength in the first electric field parameter, q represents the charge of the target component, S represents the contact area between the target component and the nanofilm in the detection area, and t avg This represents the average time for the target component to undergo an adsorption reaction with the nanofilm under the current electric field conditions corresponding to the first electric field parameter.

[0089] Continuing with the above embodiments, in the detection of copper ions (Cu) in industrial wastewater 2+ In the example, the electric field strength of the first electric field parameter is known to be E1 = 10 V / cm, and the contact area between the copper ions and the nanofilm in the detection region is S = 2 cm². 2 The average time t for the adsorption reaction between copper ions and the nanofilm under this electric field condition. avg =5s, the charge of copper ions is q=2*1.6*10 -19 C. Therefore, according to the formula, we can obtain I. eval = (10*2*1.6*10) -19 *2) / 5=1.28*10 -18 .

[0090] Step 402: Based on the content of the first component, the number of specific affinity sites on the nanofilm, and the adsorption rate constant and adsorption reaction time of the target component under the current electric field conditions, determine the adsorption saturation of the target component on the nanofilm.

[0091] Furthermore, the parallel wastewater component detection system acquires the number of specific affinity sites on the nanofilm, as well as the adsorption rate constant and adsorption reaction time of the target component under the current electric field conditions. Based on the content of the first component, the number of specific affinity sites on the nanofilm, and the adsorption rate constant and adsorption reaction time of the target component under the current electric field conditions, the adsorption saturation θ of the target component on the nanofilm is determined. The specific formula is: θ=C1*k*t / [(1+k*t)*N s], where k represents the adsorption rate constant of the target component under the current electric field conditions, C1 represents the content of the first component, t represents the adsorption reaction time of the target component under the current electric field conditions, and N s This indicates the number of specific affinity sites on the nanofilm.

[0092] Step 403: Based on the effect intensity assessment value and adsorption saturation, determine the direction of electric field parameter adjustment.

[0093] Furthermore, the parallel detection system for wastewater components compares the intensity assessment value with the preset intensity assessment value threshold, and compares the adsorption saturation with the preset saturation threshold, wherein the preset intensity assessment value threshold and the preset saturation threshold are set according to actual conditions.

[0094] Furthermore, if the assessed intensity of the interaction is less than a preset intensity assessment threshold, and the adsorption saturation is less than a preset saturation threshold, then the direction of electric field parameter adjustment is determined to be to enhance the electric field parameter, denoted as +1. Furthermore, if the assessed intensity of the interaction is greater than a preset intensity assessment threshold, and the adsorption saturation is greater than a preset saturation threshold, then the direction of electric field parameter adjustment is determined to be to weaken the electric field parameter, denoted as -1. Furthermore, for other cases, such as when the assessed intensity of the interaction is less than a preset intensity assessment threshold, but the adsorption saturation is greater than a preset saturation threshold, then the direction of electric field parameter adjustment is determined to be to maintain the original direction, denoted as 0.

[0095] Step 404: Adjust the detection area from the first electric field parameter to the second electric field parameter based on the electric field parameter adjustment direction.

[0096] Furthermore, the parallel wastewater component detection system adjusts the detection area from the first electric field parameter to the second electric field parameter according to the electric field parameter adjustment direction, as described in steps 4041 to 4043.

[0097] The embodiments of the present invention can dynamically adjust the electric field parameters according to the relevant characteristics of the detected first target component, so that when detecting the second target component, the adsorption process between the target component and the nanofilm can be optimized, improving the accuracy and efficiency of detection, and laying the foundation for obtaining more comprehensive and accurate wastewater composition information.

[0098] In one embodiment, steps 4041 to 4043 are described as follows:

[0099] Step 4041: Based on the initial concentration of the target component in the wastewater to be tested, the number of specific affinity sites of the nanofilm, and the adsorption equilibrium constant, the equilibrium state parameters are predicted to obtain the equilibrium adsorption amount.

[0100] Optionally, the parallel wastewater component detection system acquires the initial concentration and adsorption equilibrium constant of the target component in the wastewater to be tested. Based on the principles of adsorption kinetics and thermodynamics, and combined with the initial concentration of the target component in the wastewater to be tested, the number of specific affinity sites of the nanofilm, and the adsorption equilibrium constant, the equilibrium state parameters are predicted to obtain the equilibrium adsorption capacity n. e The specific formula is: n e =[(K L *C0) / (1+(K L *C0)]*N s Among them, K L Where C is the adsorption equilibrium constant, C0 is the initial concentration of the target component in the wastewater to be tested, and N is the adsorption equilibrium constant. s This represents the total number of specific affinity sites on the nanofilm.

[0101] Step 4042: Based on the equilibrium adsorption amount, the content of the first component, the charge of the target component, the first electric field parameter, and the direction of electric field parameter adjustment, determine the adjustment range of the electric field parameter.

[0102] Furthermore, the parallel wastewater component detection system determines the adjustment range of the electric field parameters based on the equilibrium adsorption capacity, the content of the first component, the charge of the target component, the first electric field parameter, and the adjustment direction of the electric field parameter. The specific formula is: ΔE=[(n e -C1) / ( )]*D, where ΔE represents the adjustment range of the electric field parameter and D represents the adjustment direction of the electric field parameter.

[0103] Step 4043: Determine the second electric field parameter based on the first electric field parameter and the adjustment range of the electric field parameter, and adjust the detection area from the first electric field parameter to the second electric field parameter.

[0104] Furthermore, the parallel wastewater component detection system adds an adjustment range to the electric field parameters based on the first electric field parameters to obtain the second electric field parameters, i.e., the second electric field parameter = the first electric field parameter + the adjustment range of the electric field parameters, and adjusts the detection area from the first electric field parameter to the second electric field parameter.

[0105] The embodiments of the present invention can reasonably adjust the electric field parameters based on the initial state of the target component in the wastewater, the characteristics of the nanofilm, and the information of the detected components. Therefore, the second electric field parameter can optimize the adsorption process of the target component and the nanofilm, making the detection process closer to the ideal state, improving the accuracy and comprehensiveness of the detection of multiple components in wastewater, and providing reliable electric field environment support for accurate determination of wastewater components.

[0106] In one embodiment, steps 501 to 504 are described as follows:

[0107] Step 501: Perform an intersection operation on the first target component type and the second target component type to determine the common component type between the first target component type and the second target component type.

[0108] Optionally, by performing an intersection operation on the first target component type and the second target component type, the common parts in these two component types, i.e., common component types, can be found. The intersection operation can be understood as filtering out component types that exist in both the first and second groups.

[0109] Continuing with the industrial wastewater detection example, consider a first target component type set T1 = {copper ions, benzene, lead ions} and a second target component type set T2 = {copper ions, formaldehyde, benzene}. The intersection operation T... common =T1∩T2, which yields the set of common component types T. common ={copper ions, benzene}.

[0110] Step 502: Based on the first target component type and the common component type, determine the first individual component type that appears only in the first target component type, and based on the second target component type and the common component type, determine the second individual component type that appears only in the second target component type.

[0111] Furthermore, based on the first target component type and the common component type, and the second target component type and the common component type, respectively, identify the component types that appear only in the first target component type (first individual component type) and the component types that appear only in the second target component type (second individual component type). This can be achieved using the difference operation of sets.

[0112] Continuing with the above embodiments, the first individual component type set T single1 =T1-T common That is, T single1 ={lead ions}; Second individual component type set T single2 =T2-T common That is, T single2 ={Formaldehyde}.

[0113] Step 503: For each first component in the common component type, determine the content difference between its content in the first component content and its content in the second component content.

[0114] Furthermore, for each component (first component) in the common component type, the difference between its content in the first component content and its content in the second component content is calculated, where the difference reflects the change in the content of the component at different detection stages.

[0115] Continuing with the above embodiments, for example, the content of copper ions C in the first component content 1铜离子=5mg / L, the content of copper ions in the second component C 2铜离子 =4mg / L, then the difference in copper ion content ΔC 铜离子 =C 1铜离子 -C 2铜离子 =5-4=1mg / L; For example, the benzene content C in the first component content 1苯 =2mg / L, the content of benzene in the second component C 2苯 =2.5mg / L, then the difference in benzene content ΔC 苯 =C 1苯 -C 2苯 =2-2.5=-0.5mg / L.

[0116] Step 504: Determine the final target component type and its final component content based on the content difference of each first component of the first individual component type, the second individual component type, and the common component type.

[0117] Further, based on the content difference of each first component of the first individual component type, the second individual component type, and the common component type, the final target component type and its final component content are determined, as described in steps 5041 to 5044.

[0118] The embodiments of this invention can systematically integrate the target component types and contents obtained at different detection stages, eliminate duplicate and contradictory information, and accurately determine the final target component types and contents in wastewater. Furthermore, by analyzing the differences in the contents of common components, it can also take into account possible errors or component changes during the detection process, thereby improving the accuracy and reliability of wastewater component detection results.

[0119] In one embodiment, steps 5041 to 5044 are described as follows:

[0120] Step 5041: For each first component, if the content difference is greater than a preset fluctuation threshold, the first component is classified into the first content fluctuation component type set. If the content difference is less than or equal to the preset fluctuation threshold, the first component is classified into the second content fluctuation component type set.

[0121] Optionally, a preset fluctuation threshold can be set to classify the content difference of each first component in the common component type. The preset fluctuation threshold is a metric used to distinguish whether the fluctuation of component content between two tests is significant. If the content difference of the first component is greater than the threshold, it indicates that its content fluctuation is large, and it is classified into the first content fluctuation component type set; if the content difference is less than or equal to the threshold, it indicates that the content fluctuation is small, and it is classified into the second content fluctuation component type set.

[0122] Continuing with the example of industrial wastewater testing, for instance, a preset fluctuation threshold of 0.8 mg / L. For copper ions in common component types, the content difference ΔC... 铜离子 =1 mg / L, because 1 mg / L > 0.8 mg / L, copper ions are classified into the first content fluctuation component type set S1; for benzene, its content difference ΔC 苯 =-0.5mg / L. Since -0.5mg / L≤0.8mg / L, benzene is classified into the second content fluctuation component type set S2.

[0123] Step 5042: For each second component in the first set of content fluctuation component types, if it belongs to the first individual component type and / or the second individual component type, the second component is classified into the first set of content fluctuation component types to obtain the updated first set of content fluctuation component types.

[0124] Furthermore, the components in the first set of component types with fluctuating content are further screened. Based on the first set of component types with fluctuating content, it is determined whether each second component belongs to the first individual component type and / or the second individual component type. If it does, it is retained in the first set of component types with fluctuating content, thus obtaining an updated set of component types with fluctuating content. This ensures that the components in this set are all components with significant fluctuations and uniqueness in the detection process.

[0125] Continuing with the above embodiments, it is known that the first set of component types with fluctuating content S1 = {copper ions}, and the first set of individual component types T single1 ={lead ions}, the second individual component type set T single2 ={Formaldehyde}, copper ions do not belong to T. single1 and T single2 Therefore, the first content fluctuation component type set S1 remains unchanged, that is, the updated first content fluctuation component type set is still S1={copper ions}.

[0126] Step 5043: Determine the updated set of first content fluctuation component types as the final target component types.

[0127] Furthermore, the updated set of first content fluctuation component types is determined as the final target component types. Therefore, the final target component types are composed of those components that exhibit significant and unique content fluctuations during the detection process. These components better reflect the actual situation and changing trends of wastewater components.

[0128] Step 5044: Determine the final component content of each third component based on the type set to which each third component belongs in the final target component type.

[0129] Furthermore, based on the type set to which each third component belongs in the final target component type, the final component content of each third component is determined, as described in steps 50441 to 50443.

[0130] This invention quantifies the fluctuation of component content by setting a threshold, selects components with significant fluctuations and unique characteristics as the final target component type, and accurately determines the final component content based on the component type. Therefore, it can effectively eliminate the interference of small fluctuations in component content caused by accidental factors or errors during the detection process, focus on components that actually exist and change significantly, improve the accuracy and effectiveness of wastewater component detection results, and provide a more reliable basis for wastewater component analysis and subsequent treatment.

[0131] In one embodiment, steps 50441 to 50443 are described as follows:

[0132] Step 50441: For each third component in the final target component type, if the third component belongs to the first content fluctuation component type set and does not belong to the first individual component type or / and the second individual component type, then the final component content is determined based on the average of the content of the third component in the first component content and the content of the third component in the second component content.

[0133] Optionally, for a third component belonging to the first set of component types with fluctuating content, but not to the first or second individual component type, the final component content is determined by calculating the average of the contents of the first and second components. This approach comprehensively considers the component content in both tests, excluding the specificity of individual component tests, and uses the average to balance possible detection fluctuations to obtain a more representative content value.

[0134] Continuing with the industrial wastewater detection example, for instance, if the final target component type set is {copper ions, unknown component X}, the first content fluctuation component type set S1 = {copper ions, unknown component X}, and the first individual component type set T single1 ={lead ions}, the second individual component type set T single2 ={Formaldehyde}. Unknown component X belongs to S1 and not to T. single1 and T single2 The content C of unknown component X in the first component is known. 1X =6mg / L, the content C in the second component content 2X =4mg / L, then according to formula C finalX =(C 1X +C 2X ) / 2, we can get the final component content of unknown component X as (6+4) / 2=5mg / L.

[0135] Step 50442: If the third component belongs to the first set of component types with fluctuating content and belongs to the first individual component type, then the content of the third component in the content of the first component is determined as the final component content.

[0136] Furthermore, when the third component in the final target component type belongs to both the first content fluctuation component type set and the first individual component type, the content of this component in the first component content is directly determined as the final component content. This is because the component exhibits individual and fluctuating characteristics in the first detection, and the first component content can better reflect its actual content in the wastewater, so this is used as the final result.

[0137] In one embodiment, the final target component type set is {copper ions, lead ions}, the first content fluctuation component type set S1 = {copper ions, lead ions}, and the first individual component type set T single1 ={lead ions}, the second individual component type set T single2 ={Formaldehyde}. Lead ions belong to S1 and T. single1 The content of lead ions in the first component is known to be C. 1铅离子 =3mg / L, so the final content of lead ions is determined to be 3mg / L.

[0138] Step 50443: If the third component belongs to the first content fluctuation component type set and also belongs to the second individual component type, then the content of the third component in the second component content is determined as the final component content.

[0139] Furthermore, the third component in the final target component type belongs to both the first set of fluctuating component types and the second set of independent component types. Therefore, the content of this component in the second component content is determined as the final component content. The reason is that this component exhibits independent and fluctuating characteristics in the second detection, and the second component content can more accurately represent its content in wastewater; hence, this is used as the final value.

[0140] In one embodiment, the final target component type set is {copper ions, formaldehyde}, the first content fluctuation component type set S1 = {copper ions, formaldehyde}, and the first individual component type set T single1 ={lead ions}, the second individual component type set T single2 ={Formaldehyde}. Formaldehyde belongs to S1 and T. single2 The content of formaldehyde in the second component is known to be C. 2甲醛 If the concentration is 2 mg / L, then the final concentration of formaldehyde is determined to be 3 mg / L.

[0141] This invention, through precise judgment of the set relationship of each component in the final target component type, uses different rules to determine the final component content. For components that fluctuate and have individual detection characteristics, the content value of the corresponding detection stage is directly used to highlight their uniqueness. For components that fluctuate only, the mean value is used to balance the detection differences. Therefore, it effectively integrates the data from the two detections, avoids misjudgment of content caused by detection fluctuations or component characteristics, and can more accurately and reasonably determine the final content of each component in wastewater, providing reliable data support for wastewater component analysis.

[0142] Furthermore, the parallel detection system for wastewater components based on micro-nano pore arrays provided by the present invention will be described below. The parallel detection system for wastewater components based on micro-nano pore arrays described below can be referred to in correspondence with the parallel detection method for wastewater components based on micro-nano pore arrays described above.

[0143] Optional, refer to Figure 2 , Figure 2 This is a schematic diagram of the parallel detection system for wastewater components based on a micro / nano pore array provided by the present invention. The inner walls of the micro / nano pore array are uniformly deposited with nanofilms, which possess specific affinity sites for the target components. Therefore, the parallel detection system for wastewater components based on a micro / nano pore array includes:

[0144] The flow control module 210 is used to input the wastewater to be tested into the detection area of ​​the micro-nano pore array and apply a first electric field parameter to the detection area so that the wastewater to be tested comes into contact with the nanofilm; during the contact process, the target component in the wastewater to be tested is adsorbed onto the specific affinity sites of the nanofilm;

[0145] The current data acquisition module 220 is used to acquire the microcurrent change data of the wastewater to be tested and the nanofilm during the adsorption process based on the microcurrent detection system; the microcurrent detection system is connected to multiple outlets of the micro-nano pore array;

[0146] The first wastewater detection module 230 is used to obtain a component detection curve based on microcurrent change data fitting, and to determine the type of the first target component and its content in the wastewater to be detected based on the component detection curve.

[0147] The second wastewater detection module 240 is used to adjust the detection area from the first electric field parameter to the second electric field parameter based on the first target component type and its content, and to obtain the second target component type and its content under the second electric field parameter.

[0148] Analysis module 250 is used to determine the final target component type and its final component content based on the first target component type and its first component content, and the second target component type and its second component content.

[0149] In this invention, the micro-nano pore array can simultaneously interact with multiple components in wastewater, thus enabling the detection of multiple components at once. Furthermore, electrical signal detection and data analysis can be performed rapidly, shortening wastewater detection time and improving detection efficiency. On the other hand, the specific affinity of the nanofilm and the use of a high-precision microcurrent detection system significantly improve the accuracy of wastewater component detection results.

[0150] Please see Figure 3 , Figure 3 This is a schematic diagram illustrating an embodiment of the electronic device provided in this invention. For example... Figure 3 As shown, this embodiment of the invention provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, it performs the following steps:

[0151] The wastewater to be tested is input into the detection area of ​​the micro-nano pore array, and a first electric field parameter is applied to the detection area to make the wastewater to be tested contact with the nanofilm; during the contact process, the target component in the wastewater to be tested is adsorbed onto the specific affinity sites of the nanofilm;

[0152] The microcurrent detection system acquires data on the microcurrent changes between the wastewater and the nanofilm during the adsorption process; the microcurrent detection system is connected to multiple outlets of the micro-nano pore array.

[0153] The component detection curve is obtained by fitting microcurrent change data, and the type and content of the first target component in the wastewater to be tested are determined based on the component detection curve.

[0154] Based on the type and content of the first target component, the detection area is adjusted from the first electric field parameter to the second electric field parameter, and the type and content of the second target component under the second electric field parameter are obtained.

[0155] Based on the first target component type and its first component content, and the second target component type and its second component content, the final target component type and its final component content are determined.

[0156] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0157] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0158] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A system that specifies functions in one or more boxes.

[0159] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including an instruction set implemented in a process. Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0160] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0161] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0162] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A parallel detection method for wastewater components based on micro / nano pore arrays, characterized in that, The micro-nanochannel array has uniformly deposited nanofilms on the inner walls of its micro-nanochannels, the nanofilms possessing specific affinity sites for the target detection component; the method includes: The wastewater to be tested is input into the detection area of ​​the micro-nano pore array, and a first electric field parameter is applied to the detection area to make the wastewater to be tested contact with the nanofilm; during the contact process, the target component in the wastewater to be tested is adsorbed onto the specific affinity sites of the nanofilm; The microcurrent detection system acquires microcurrent change data between the wastewater to be tested and the nanofilm during the adsorption process; the microcurrent detection system is connected to multiple outlets of the micro-nano pore array. The component detection curve is obtained by fitting the microcurrent change data, and the type and content of the first target component in the wastewater to be tested are determined based on the component detection curve. Based on the first target component type and its content, the detection area is adjusted from the first electric field parameter to the second electric field parameter, and the second target component type and its content under the second electric field parameter are obtained; Based on the first target component type and its first component content, and the second target component type and its second component content, the final target component type and its final component content are determined; The step of determining the final target component type and its final component content based on the first target component type and its first component content, and the second target component type and its second component content, includes: The first target component type and the second target component type are intersected to determine the common component type between the first target component type and the second target component type; Based on the first target component type and the common component type, a first individual component type that appears only in the first target component type is determined, and based on the second target component type and the common component type, a second individual component type that appears only in the second target component type is determined; For each first component in the common component type, determine the difference between its content in the first component content and its content in the second component content; Based on the content difference of each first component of the first individual component type, the second individual component type, and the common component type, the final target component type and its final component content are determined.

2. The parallel detection method for wastewater components based on micro / nano pore arrays according to claim 1, characterized in that, The step of determining the final target component type and its final component content based on the content difference of each first component among the first individual component type, the second individual component type, and the common component type includes: For each first component, if the difference in its content is greater than a preset fluctuation threshold, the first component is classified into the first content fluctuation component type set; if the difference in its content is less than or equal to the preset fluctuation threshold, the first component is classified into the second content fluctuation component type set. For each second component in the first set of content fluctuation component types, if it belongs to the first individual component type and / or the second individual component type, the second component is classified into the first set of content fluctuation component types to obtain the updated first set of content fluctuation component types. The updated set of first content fluctuation component types is determined as the final target component type; The final component content of each third component is determined based on the type set to which each third component belongs in the final target component type.

3. The parallel detection method for wastewater components based on micro / nano pore arrays according to claim 2, characterized in that, The step of determining the final component content of each third component based on the type set to which each third component belongs in the final target component type includes: For each third component in the final target component type, if the third component belongs to the first content fluctuation component type set and does not belong to the first individual component type or / and the second individual component type, the final component content is determined based on the average content of the third component in the first component content and the content of the third component in the second component content. If the third component belongs to the first set of component types with fluctuating content and also belongs to the first individual component type, then the content of the third component in the content of the first component is determined as the final component content. If the third component belongs to the first set of component types with fluctuating content and also belongs to the second single component type, then the content of the third component in the content of the second component is determined as the final component content.

4. The parallel detection method for wastewater components based on micro / nano pore arrays according to claim 1, characterized in that, The step of adjusting the detection region from the first electric field parameter to the second electric field parameter based on the first target component type and its content includes: Based on the electric field strength in the first electric field parameter, the contact area between the target component and the nanofilm in the detection area in the first target component type, the average time of the adsorption reaction between the target component and the nanofilm under the current electric field condition corresponding to the first electric field parameter, and the charge of the target component, the evaluation value of the effect strength of the current electric field on the target component is determined. Based on the content of the first component, the number of specific affinity sites of the nanofilm, and the adsorption rate constant and adsorption reaction time of the target component under the current electric field conditions, the adsorption saturation of the target component on the nanofilm is determined. Based on the assessed intensity of the action and the adsorption saturation, the direction for adjusting the electric field parameters is determined. The detection area is adjusted from the first electric field parameter to the second electric field parameter based on the adjustment direction of the electric field parameter.

5. The parallel detection method for wastewater components based on micro / nano pore arrays according to claim 4, characterized in that, The step of adjusting the detection area from the first electric field parameter to the second electric field parameter based on the electric field parameter adjustment direction includes: Based on the initial concentration of the target component in the wastewater to be tested, the number of specific affinity sites of the nanofilm, and the adsorption equilibrium constant, the equilibrium state parameters are predicted to obtain the equilibrium adsorption amount. The adjustment range of the electric field parameters is determined based on the equilibrium adsorption amount, the content of the first component, the charge of the target component, the first electric field parameter, and the adjustment direction of the electric field parameter. The second electric field parameter is determined based on the first electric field parameter and the adjustment range of the electric field parameter, and the detection area is adjusted from the first electric field parameter to the second electric field parameter.

6. The parallel detection method for wastewater components based on micro / nano pore arrays according to any one of claims 1 to 5, characterized in that, The component detection curve is obtained by fitting the microcurrent change data, including: The microcurrent change data is divided into multiple time windows of equal size according to the detection time sequence, and the local extreme points of the microcurrent in each time window are extracted. A time interval sequence is constructed based on the time interval between adjacent local extreme points within each time window, and the time interval sequence within each time window is correlated and transformed with the corresponding microcurrent extreme point value to obtain the correlated and transformed sequence. The sequences after correlation transformation of all time windows are merged into a new sequence, and a preset sliding window is slid in the new sequence. The reconstructed sequence is obtained based on the average value of the data within each sliding window. Based on piecewise linear interpolation, the component detection curve is obtained by fitting the index of the reconstructed sequence as the x-axis and the value of the reconstructed sequence as the y-axis.

7. A parallel detection system for wastewater components based on micro / nano pore arrays, characterized in that, The method is applied to the parallel detection method of wastewater components based on micro-nano pore arrays as described in any one of claims 1 to 6; the inner walls of the micro-nano pore arrays are uniformly deposited with nanofilms, and the nanofilms have specific affinity sites for the target components to be detected. The system includes: A flow control module is used to input the wastewater to be tested into the detection area of ​​the micro-nano pore array and apply a first electric field parameter to the detection area so that the wastewater to be tested comes into contact with the nanofilm; during the contact process, the target component in the wastewater to be tested is adsorbed onto the specific affinity sites of the nanofilm; A current data acquisition module is used to acquire microcurrent change data of the wastewater to be tested and the nanofilm during the adsorption process based on a microcurrent detection system; the microcurrent detection system is connected to multiple outlets of the micro-nano pore array; The first wastewater detection module is used to fit the microcurrent change data to obtain a component detection curve, and to determine the type and content of the first target component in the wastewater to be detected based on the component detection curve. The second wastewater detection module is used to adjust the detection area from the first electric field parameter to the second electric field parameter based on the first target component type and its content, and to obtain the second target component type and its content under the second electric field parameter. An analysis module is used to determine the final target component type and its final component content based on the first target component type and its first component content, and the second target component type and its second component content; The step of determining the final target component type and its final component content based on the first target component type and its first component content, and the second target component type and its second component content, includes: The first target component type and the second target component type are intersected to determine the common component type between the first target component type and the second target component type; Based on the first target component type and the common component type, a first individual component type that appears only in the first target component type is determined, and based on the second target component type and the common component type, a second individual component type that appears only in the second target component type is determined; For each first component in the common component type, determine the difference between its content in the first component content and its content in the second component content; Based on the content difference of each first component of the first individual component type, the second individual component type, and the common component type, the final target component type and its final component content are determined.

8. An electronic device, characterized in that, The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the program to implement the parallel detection method for wastewater components based on micro-nano pore arrays as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium, wherein a computer software program is stored therein, characterized in that, When the processor executes the program, it implements the parallel detection method for wastewater components based on micro-nano pore arrays as described in any one of claims 1 to 6.

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