CN109142494A - One kind being directed to resistor-type electrochemical sensor optimum operating voltage choosing method - Google Patents

One kind being directed to resistor-type electrochemical sensor optimum operating voltage choosing method Download PDF

Info

Publication number
CN109142494A
CN109142494A CN201811175318.8A CN201811175318A CN109142494A CN 109142494 A CN109142494 A CN 109142494A CN 201811175318 A CN201811175318 A CN 201811175318A CN 109142494 A CN109142494 A CN 109142494A
Authority
CN
China
Prior art keywords
sensor
data
operating voltage
curve
matrix
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811175318.8A
Other languages
Chinese (zh)
Inventor
刘君
范美英
金璐阳
潘鹏
杨正春
魏军
廖振宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tianjin University of Technology
Original Assignee
Tianjin University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tianjin University of Technology filed Critical Tianjin University of Technology
Priority to CN201811175318.8A priority Critical patent/CN109142494A/en
Publication of CN109142494A publication Critical patent/CN109142494A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/26Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
    • G01N27/416Systems
    • G01N27/4163Systems checking the operation of, or calibrating, the measuring apparatus
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/26Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
    • G01N27/416Systems
    • G01N27/48Systems using polarography, i.e. measuring changes in current under a slowly-varying voltage

Abstract

The embodiment of the invention discloses a kind of choosing methods for resistor-type electrochemical sensor optimum operating voltage.This method is fitted to obtain the parameter matrix under sensor different operating voltage using least square method, analyze influence of two Parameters variations of related coefficient and the slope of curve to fitting result, it is screened and is judged according to algorithm model, to be demarcated to the optimum operating voltage parameter of such sensor, the measurement accuracy that sensor is improved by comparing improves detection limit.

Description

One kind being directed to resistor-type electrochemical sensor optimum operating voltage choosing method
Technical field
The present invention relates to electrochemical sensor technology field, a kind of choosing of the optimum operating voltage for resistance type sensor Take method.This method has speed fast, and parameter setting is simple, has the characteristics that versatility.
Background technique
Early in the age in last century, the electrochemical sensor for oxygen monitoring has just been born, and plays in production practice Important function.To the later period in last century, for security needs, electrochemical sensor for different toxic gases monitoring: Such as the successively studied application such as NO sensor, CO sensor, sarin sensor, show good selectivity and sensibility. The research of electrochemical sensor is also studied from gas sensor to the comprehensive expansion such as liquid sensor, biosensor.Due to Electrochemical sensor has the good, high sensitivity of selectivity, easy to carry, easy micromation and automation, be highly suitable for it is inflammable, Explosive, poisonous and harmful substances field assays and real time monitoring, therefore early warning, mine are attacked in environmental monitoring, life science, biochemistry The fields such as mountain Jian hair are widely used.Each field of these social life is to the widespread demand of electrochemical sensor, so that electric The research and development of chemical sensor shows always very active in scientific research.With the Remarkable Progress On Electric Artificial of new material with And chemically modified electrode technology of preparing obtains tremendous development, effectively promotes as modified using carbon nanomaterial, flexible material The flow of research of novel electrochemical sensor prepared by electrode.
In recent years, research prepares that a kind of chemical property is good, selection limit is lower, is expected to replace and prepares currently used for volume production The research topic of the new material of electrochemical sensor material becomes hot spot.Wherein, the data of new material performance indicator are analyzed aobvious It obtains particularly important.It is reported that data decimation is based on artificial experience selection more in new material performance detection verification process.This is just Cause very big error.Resulting scientific research loss is that people do not want to see that.Therefore, how the general of artificial intelligence is utilized Read, write a kind of targeted MATLAB algorithm screen, calculate, handle the data that electrochemical sensor exports become to have very much must It wants.
Summary of the invention
The purpose of the present invention is at present in electrochemical sensor research field to the progress of resistor-type electrochemical sensor It when test or selection operating voltage, artificially causes error larger, causes sensor voltage to be chosen inaccurate, so as to cause measurement number According to deviating, this problem analyzed and determined to sensor performance is influenced, a kind of speed provided is fast, and parameter setting is simple, The method for having the characteristics that the selection sensor optimum operating voltage of versatility.
Technical solution of the present invention:
A method of it is chosen for resistor-type electrochemical sensor optimum operating voltage, specific method is:
The sensor of preparation is tested in the case where electrochemical workstation is using cyclic voltammetry, it is to be checked to obtain various concentration The input and output response curve (CV curve) of object;Will obtained CV curve data import Matlab software in obtain concentration, voltage, The one-to-one sampled data matrix of electric current;The data matrix is handled to obtain under different voltages using least square method Running parameter matrix;Two parameters of curve matching degree and the slope of curve in parameter matrix are analyzed;Using threshold method pair Curve matching degree and the slope of curve are demarcated, and undesirable data are rejected;Remaining data are screened, using row Sequence method filters out the point of maximum slope and is demarcated;To obtain the calibration optimum operating voltage point of such sensor.
By the contrast verification with artificial selection voltage data it follows that the point according to algorithm screening is chosen than artificial Point with more scientific and accuracy.
A method of it is chosen for resistor-type electrochemical sensor optimum operating voltage, the concrete operation step of this method Include:
Arbitrary resistor-type electrochemical sensor electrodes are chosen, select the electrochemical sensing prepared using CuO as material here Device electrode is as experimental subjects.
1st, the sensor of preparation is tested in the case where electrochemical workstation is using cyclic voltammetry, obtains various concentration The input and output response curve (CV curve) of object to be checked;
2nd, concentration, voltage, electric current will be obtained in obtained CV curve data importing Matlab software to adopt correspondingly Sample data matrix;Each row of data in the data matrix is fitted using least square method, obtains the work under different voltages Make parameter matrix, should have two parametric variables of curve matching degree and the slope of curve in the running parameter matrix;
3rd, curve matching degree parameter is analyzed, is demarcated according to the threshold value of setting, and in running parameter matrix In be marked and weed out undesirable data;
4th, slope of curve parameter is analyzed, is demarcated according to the threshold value of setting, and worked the selection result It is demarcated in parameter matrix and weeds out undesirable data.
5th, remaining data are screened, greatest gradient value is obtained using ranking method, and in running parameter matrix It is marked;
6th, the data operated by the 3rd, 4,5 steps are arranged and therefrom selects pair for meeting slope and degree of fitting requirement The operating voltage value of the sensor of operating point is answered, to obtain the operating voltage of the sensor.
7th, the operating voltage that the working sensor voltage obtained by this method and conventional manual are chosen is analyzed Comparison carries out chrono-amperometric experiment in electrochemical workstation respectively.Obtained experimental data is handled in Origin software Mapping compares reflected under two voltages from response current size, the degree of correlation of linear fit curve and slope etc. The chemical property of electrode material.There is exploitativeness and science by this method of experimental data description selection optimum voltage Property.
The advantages of the present invention:
1. through the invention, realizing the intelligence selection to experimental data, greatly improve work efficiency.
2. reducing selection error compared with the method for traditional artificial selection data, improving accuracy.
3. the performance evaluation of pair portable electrochemical sensor and scale of mass production have great constructive meaning.
4. artificial intelligence data processing, the development for novel industries such as current big data processing, deep learnings is made that tribute It offers.
5. a pair scientific research theory analysis has huge guiding significance.
Detailed description of the invention
Fig. 1 is the flow chart that operating voltage is chosen.
Fig. 2 is the C-V curve scanning figure of the CuO modified electrode for preparing under different concentration of glucose.
Fig. 3 is that the present invention chooses in working sensor voltage to the screening of data and processing result figure.
Fig. 4 is chronoa mperometric plot figure of the electrode respectively at voltage 0.49v and 0.39v.
Fig. 5 is the linear relationship chart of glucose concentration Yu electrode response electric current.
Specific embodiment
Embodiment 1:
The present embodiment based on study it is a kind of for resistor-type electrochemical sensor optimum operating voltage choose scaling method, The detailed process of this method is shown in Fig. 1.Here it uses and studies the electric by the resistor-type of electrode material of CuO material of comparative maturity at present It is illustrated for chemical sensor.
The present embodiment is the electrochemical sensor of material to the sensitivitys of different concentration of glucose using CuO based on research Detection develops a kind of highly sensitive, portable blood-sugar detecting instrument thrown to combine with fields such as biotechnology, medicine.It is first It is first prepared with prior printing and is coated with the electrode of CuO and carries out Electrochemical C-V curved scanning.40 μM of glucose are added dropwise every time, from 0 μM ~160 μM, carry out 5 C-V curve scanning.As shown in Figure 2.Method will test obtained scan data and import according to the present invention Identifying processing is carried out into MATLAB software, calculates the coefficient R of the corresponding scan data in different voltages place2And it should Curent change trend under voltage, i.e. slope K.By to R2, K be worth specific observation and the setting of constraint condition to filter out and meet The voltage value of constraint condition.Wherein, R2Constraint condition be set as R2The value of > 0.999, K take the value more a little bit smaller than maximum value, mesh Be to filter out one section of voltage range comprising maximum value.Fig. 3 is to tie in working sensor voltage to the screening of data and processing Fruit figure.As can be seen from Figure 3: voltage slope and related coefficient in 0.49V is relatively optimal, can be illustrated with this by this hair The optimum voltage of bright method processing screening is chosen for 0.49v.In addition, in the present embodiment, by the observation to Fig. 2, i.e. C-V is swept Curve graph is retouched, the voltage usually manually estimated can be selected at 0.39v.After this, instant electricity is done under the two voltages respectively Stream experiment, income effect are as shown in Figure 4, it is intended to verify under the optimum voltage whether the CuO electrode is chosen under the method for the present invention The impact of performance be better than the impact of performance under the voltage manually estimated.As a result pleasurable, in contrast, same solution environment, Under the conditions of mixing speed, concentration of glucose, the response current of electrode is bigger at the 0.49v that the method for the present invention is chosen, corresponding oblique Rate is bigger.As shown in Figure 5.This has just absolutely proved electrochemistry of the CuO electrode at the voltage 0.49v that the method for the present invention is chosen It is more preferable under the 0.39v that performance is more manually estimated.This just provides a kind of scientific, accurate judgment basis for the performance of electrode.
(note: in experimentation, solution environmental is the NaOH solution of 250ml, mixing speed 1rad/s, electrochemical operation Three electrode test system of the relatives of Taiwan compatriots living on the Mainland).
The above embodiments do not limit the invention in any form, all to be obtained by the way of equivalent substitution or equivalent transformation Technical solution, fall within the scope of protection of the present invention.

Claims (2)

1. a kind of method chosen for resistor-type electrochemical sensor optimum operating voltage, it is characterised in that: method summary:
The collected CV scan data matrix of electrochemical workstation is passed in MATLAB software, electrochemistry through the invention passes The method that sensor optimum operating voltage is chosen identifies data matrix, is run, is handled;It is screened using threshold method, ranking method It related coefficient and the optimal point of slope and is demarcated out;To obtain the calibration optimum operating voltage point of such sensor.
2. according to the method described in claim 1, it is characterized by: the concrete operation step of this method includes:
1st, the sensor of preparation is tested in the case where electrochemical workstation is using cyclic voltammetry, it is to be checked obtains various concentration Input and output response curve, that is, CV curve of object;
2nd, obtained CV curve data is imported in Matlab software and obtains the one-to-one hits of concentration, voltage, electric current According to matrix;Each row of data in the data matrix is fitted using least square method, obtains the work ginseng under different voltages Matrix number should have two parametric variables of curve matching degree and the slope of curve in the running parameter matrix;
3rd, curve matching degree parameter is analyzed, is demarcated according to the threshold value of setting, and in running parameter matrix into Line flag simultaneously weeds out undesirable data;
4th, slope of curve parameter is analyzed, is demarcated according to the threshold value of setting, and to the selection result in running parameter It is demarcated in matrix and weeds out undesirable data;
5th, remaining data are screened, greatest gradient value is obtained using ranking method, and carry out in running parameter matrix Label;
6th, the data operated by the 3rd, 4,5 steps are arranged and therefrom selects the correspondence work for meeting slope and degree of fitting requirement The operating voltage value for making the sensor of point, to obtain the operating voltage of the sensor.
CN201811175318.8A 2018-10-10 2018-10-10 One kind being directed to resistor-type electrochemical sensor optimum operating voltage choosing method Pending CN109142494A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811175318.8A CN109142494A (en) 2018-10-10 2018-10-10 One kind being directed to resistor-type electrochemical sensor optimum operating voltage choosing method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811175318.8A CN109142494A (en) 2018-10-10 2018-10-10 One kind being directed to resistor-type electrochemical sensor optimum operating voltage choosing method

Publications (1)

Publication Number Publication Date
CN109142494A true CN109142494A (en) 2019-01-04

Family

ID=64810712

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811175318.8A Pending CN109142494A (en) 2018-10-10 2018-10-10 One kind being directed to resistor-type electrochemical sensor optimum operating voltage choosing method

Country Status (1)

Country Link
CN (1) CN109142494A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109796038A (en) * 2019-01-15 2019-05-24 桂林电子科技大学 A kind of preparation method and its Application in Sensing of classifying nano porous oxidation copper product
CN114910529A (en) * 2022-02-22 2022-08-16 有研工程技术研究院有限公司 Method for detecting performance of material for nitrogen oxide sensor
CN117405975A (en) * 2023-12-14 2024-01-16 深圳鹏城新能科技有限公司 Method, system and medium for detecting insulation resistance of PV panel

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1699635A (en) * 2005-04-25 2005-11-23 周玉成 Real-time control method in metal electrodeposition process based on neuron networks
CN103345299A (en) * 2013-07-24 2013-10-09 华为技术有限公司 Method for adjusting voltage, corresponding HPM, corresponding chip and corresponding chip system
CN104020214A (en) * 2014-06-18 2014-09-03 哈尔滨工程大学 Method for determining electrode reaction parameters
CN107727676A (en) * 2017-09-14 2018-02-23 三峡大学 A kind of heavy metal content in soil modeling method based on to space before partial least squares algorithm

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1699635A (en) * 2005-04-25 2005-11-23 周玉成 Real-time control method in metal electrodeposition process based on neuron networks
CN103345299A (en) * 2013-07-24 2013-10-09 华为技术有限公司 Method for adjusting voltage, corresponding HPM, corresponding chip and corresponding chip system
CN104020214A (en) * 2014-06-18 2014-09-03 哈尔滨工程大学 Method for determining electrode reaction parameters
CN107727676A (en) * 2017-09-14 2018-02-23 三峡大学 A kind of heavy metal content in soil modeling method based on to space before partial least squares algorithm

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘峥: "亮绿-聚氯乙烯膜涂层玻璃电极的研制及应用", 《桂林工学院学报》 *
宋凯等: "基于ACSM 法铁磁构件应力测量及影响因素研究", 《仪表技术与传感器》 *
蔡鲲: "最优化原理在实验数据的回归分析和绘图中的应用", 《无锡轻工业学院学报》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109796038A (en) * 2019-01-15 2019-05-24 桂林电子科技大学 A kind of preparation method and its Application in Sensing of classifying nano porous oxidation copper product
CN109796038B (en) * 2019-01-15 2022-03-25 桂林电子科技大学 Preparation method and sensing application of graded nano porous copper oxide material
CN114910529A (en) * 2022-02-22 2022-08-16 有研工程技术研究院有限公司 Method for detecting performance of material for nitrogen oxide sensor
CN114910529B (en) * 2022-02-22 2023-08-15 有研工程技术研究院有限公司 Material performance detection method for nitrogen oxide sensor
CN117405975A (en) * 2023-12-14 2024-01-16 深圳鹏城新能科技有限公司 Method, system and medium for detecting insulation resistance of PV panel
CN117405975B (en) * 2023-12-14 2024-03-22 深圳鹏城新能科技有限公司 Method, system and medium for detecting insulation resistance of PV panel

Similar Documents

Publication Publication Date Title
CN109142494A (en) One kind being directed to resistor-type electrochemical sensor optimum operating voltage choosing method
KR20040077722A (en) Method and apparatus for processing electrochemical signals
CN110057983A (en) A kind of ozone origin analysis method based on observation data and chemical mechanism
CN101470121A (en) Built-in bionic smell recognition method and device
CN108007985A (en) The high-flux detection method of high-strength steel sea water corrosion resistant
CN101699283A (en) Intelligent food safety detection system and detection method
CN200953007Y (en) Non-damage micrometering system utilizing multielectrode measurement
CN105223240A (en) A kind of method utilizing detection by electronic nose crab freshness
CN116128260B (en) Data sample-based key enterprise environment analysis method
CN109060892A (en) SF based on graphene composite material sensor array6Decompose object detecting method
Melucci et al. Multivariate calibration in differential pulse stripping voltammetry using a home-made carbon-nanotubes paste electrode
Ramos et al. LabVIEW 2010 computer vision platform based virtual instrument and its application for pitting corrosion study
CN108387621B (en) Cadmium ion aptamer and screen printing electrode electrochemica biological sensor
CN106932449A (en) The preparation method of electrochemical sensor and its application in plumbum ion concentration is detected
CN110146436A (en) Stress corrosion cracking on-Line Monitor Device and analysis method based on electrochemistry noise
CN107976469A (en) A kind of soil nutrient device for fast detecting based on Artificial Olfactory
CN112345598A (en) Micro-nano sensing equipment for detecting fault gas of power transmission and transformation equipment
CN107655814B (en) The high-flux detection method that alloying element influences mild steel corrosion resistance
CN113468823B (en) Optical module damage detection method and system based on machine learning
Chen et al. A gas concentration estimation method based on multivariate relevance vector machine using MOS gas sensor arrays
Shaposhnik et al. Processing electronic nose data using artificial neural networks
CN115479976A (en) Gas identification method of composite gas sensor based on PNN neural network
CN201555840U (en) Device for detecting safety of foods
Bosch et al. Introduction to different electrochemical corrosion monitoring techniques
Chen et al. Self-validating chemical sensor array and its application prospect in machine olfaction

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190104