CN104749236B - Material composition detection method for electronic tongue pulse relaxation signal curve - Google Patents
Material composition detection method for electronic tongue pulse relaxation signal curve Download PDFInfo
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Abstract
The invention belongs to the technical field of food measurement and relates to a material composition detection method for an electronic tongue pulse relaxation signal curve. The method comprises the following steps: (1) preparing a detection sensor; (2) detecting a sample by virtue of the sensor by using a pulse signal; (3) determining different time points and I(t) under the different time points according to a time interval; (4) establishing a curve model; (5) expressing a curve model formula into an equation set according to the time points; (6) obtaining the next series of I0 values of the curve by virtue of an inverse algorithm, drawing, thereby obtaining a wave crest map; and (7) performing peak area comparison on the wave crest map of the detected sample and a wave crest map of a reference substance, thereby obtaining the types and content of the various components in the detected sample. According to the detection method, the defect that only the whole detected sample can be analyzed in the field of the traditional electronic tongue measurement is overcome, the various components in the detected substance are independently analyzed, the qualitative and quantitative detection is realized, the detection result is relatively accurate, and the detection range is relatively wide.
Description
Technical field
The present invention relates to eatable measuration technical field, is to be related to one kind based on pulse relaxation signals curve in particular
Material composition detection method.
Background technology
From 20th century the mid-80s so far, electronic tongues have been widely used for as a kind of rapid detection apparatus
In the middle of field of food detection including a series of fluid matrixes including milk, tea beverage, drinks (including local flavor distinguish, it is true and false
Identification etc.), and achieve good Detection results.Wherein, especially with the research of volt-ampere electronic tongue be most widely used.
The Cleaning Principle and step of volt-ampere electronic tongue be：(1) electronic tongues excite letter using pulse voltage as sensor
Number；(2) testing sample produces corresponding pulse current relaxation response signal by sensor；(3) acquisition pulse relaxation response letter
A series of summits, corner feature value in number；(4) using PCA, artificial neural network analysis method and partially minimum
Square law scheduling algorithm carries out characteristic value data analysis, draws testing result.(documents：Deng Shaoping, Tian Shiyi《Electronic tongues skill
Art background and progress》)
But, also there is definitely limitation including the conditional electronic tongue including volt-ampere electronic tongue：(1) due to extraction
The summit of response signal, corner feature value information amount are not comprehensive enough, and generally, electronic tongues are only capable of between different samples
Overall difference makes a distinction, such as differently flavoured Chinese liquor, Folium Camelliae sinensis of different sources etc., it is impossible to each composition in multicomponent sample
Carry out independent detection and analysis.(2) even for the Concentration Testing of single component solution, its precision is also not high enough, it is impossible to do
To quantitative detecting analysis.
The content of the invention
In view of this, it is an object of the invention to provide a kind of material composition detection of electronic tongues pulse relaxation signals curve
Method, can realize that each composition is individually analyzed in the measured matter to complex system, form qualitative and detection by quantitative, detection
As a result more accurate, detection range is more extensive.
For achieving the above object, the present invention provides following technical scheme：
A kind of material composition detection method based on pulse relaxation signals curve, it is characterised in that including following step
Suddenly：
It is prepared by step one, electrode：At the cubical facing center of the politef of 1cm × 1cm × 0.5cm
It is embedded in No. 1 platinum post of a height of 0.3cm of a diameter of 0.5cm；It is a height of a diameter of 1.5mm to be embedded in the top surface perpendicular to the facing
The copper post of 3cm, and be connected with No. 1 platinum post；It is embedded at another facing center relative with above-mentioned facing a diameter of
No. 2 platinum posts of a height of 0.2cm of 1.5mm, and be connected with No. 1 platinum post, make an electrode.Two identicals are according to said method prepared altogether
Electrode；
Step 2, filter paper is cut into 1cm × 1cm sizes, after soaking 15-30 minutes in testing sample, is clipped in two electricity
It is fixed between the facing of No. 2 platinum posts that pole is embedded with, constitute detection sensor；
Step 3, sensor is put in testing sample, is detected with excitation signal of the pulse voltage as sensor,
Obtain multiple pulse relaxation signals；
Step 4, individual processing is carried out to each independent pulse relaxation signals, with the determination of specific unit interval
Different time point t1, t2..., tm, and extract centrifugal pump I of pulse relaxation signals under each time point(t)。
Step 5, set up curve model：
(formula 1)
Wherein I(t)Represent the centrifugal pump in pulse relaxation signals obtained by t sampling；τ i represent the decay of i-th kind of material
Time；Ii represents in sample pure response current intensity of i-th kind of composition under pulse voltage；N is represented and have in sample n
Individual composition.
Step 6, by formula 1 be expressed as according in step 4 specified time interval determine time point under equation group：
(formula 2)
Step 7, formula 2 is abbreviated as
I=G*I0(formula 3)
That is,
Step 8, according to sample property, set minima τ1With maximum τn, then determined using natural logrithm method
τ2..., τn-1Each value；
Step 9, according to τ1, τ2..., τnAnd t1, t2..., tm, the matrix G being calculated in formula 3；
Step 10, by I(t)Formula 3 is substituted into G, vectorial I is obtained0；With vectorial I0As vertical coordinate, τ1, τ2..., τnFor horizontal stroke
Coordinate is mapped, and obtains the crest figure of each composition in measured matter；
Step 11, the crest figure of measured matter composition and reference substance crest figure are carried out the right of appearance time and peak area
Than drawing the species and content of each composition in measured matter.
Specific unit interval of the present invention is 5 × 10-5Second～1 × 10-3Arbitrary value in the range of second.
τ of the present invention1, τ2..., τnτ1For 10-6Second, 10-5Second, 10-4Second one kind therein, τnFor 1 second, 5 seconds,
10 seconds one kind therein.
The present invention has advantages below and beneficial effect：
Compared to the limitation that conditional electronic tongue is only capable of making a distinction the overall difference between different samples, the present invention
Can realize that a composition is individually analyzed in measured matter, forms qualitative and detection by quantitative, be particularly suited for complicated ingredient sample body
The detection of one or several characteristic components in system.The testing result of the method provided by the present invention is more accurate, and detection range is wider
It is general, relative to conditional electronic tongue detection technique, with significant progressive.
Description of the drawings
Fig. 1 is electrode described in step one；
Fig. 2 is that Fig. 1 electrodes regard the relative view in face；
Fig. 3 is sensor schematic described in step 2；
Fig. 4 is pulse relaxation signals.
Fig. 5 is signal curve.
Fig. 6 is the measured matter crest figure of Multiple components.
Fig. 7 is the reference substance crest figure of single component.
In figure：1-politef cube；2-No. 1 platinum post；3-copper post；4-No. 2 platinum posts；5,6-step one is made
Two standby identical electrodes；7-filter paper；The crest of 8-composition 1；The crest of 9-composition 2；The crest of 10-composition 3；The ripple of 11-composition 4
Peak；12-ingredient n crest；13-reference substance crest.
Specific embodiment
The invention discloses a kind of material composition detection method of electronic tongues pulse relaxation signals curve, people in the art
Member can use for reference present disclosure, be suitably modified parameter realization.Specifically, all similar replacements and change are to this
It is it will be apparent that they are considered as being included in the present invention for art personnel.Detection method of the present invention is
It is described by preferred embodiment, related personnel substantially can be in without departing from present invention, spirit and scope to herein
Described methods and applications are modified or suitably change is realized and the application present invention with combining.
It is preferably to illustrate the present invention because the food variety of fluid matrix is various and numerous comprising composition, below implements
Sample in example is voluntarily prepared for inventor.
Embodiment 1：
1st, sample is configured：
Sample A：0.2mol/L Klorvess Liquids；Sample B：0.5mol/L Klorvess Liquids；
Sample C：0.7mol/L Klorvess Liquids；Reference substance D：1.0mol/L Klorvess Liquid.
2nd, prepared by sensor：
1) prepared by electrode：It is prepared by electrode：In the cubical facing of the politef of 1cm × 1cm × 0.5cm
Center is embedded in No. 1 platinum post of a height of 0.3cm of a diameter of 0.5cm；A diameter of 1.5mm is embedded in the top surface perpendicular to the facing
The copper post of a height of 3cm, and be connected with No. 1 platinum post；It is embedded straight at another facing center relative with above-mentioned facing
Footpath is No. 2 platinum posts of a height of 0.2cm of 1.5mm, and is connected with No. 1 platinum post, makes an electrode.Two phases are according to said method prepared altogether
Same electrode；
2) filter paper is cut into into 1cm × 1cm sizes, after soaking 15-30 minutes in testing sample, is clipped in two electrodes and is embedded with
No. 2 platinum posts facing between, it is fixed, constitute detection sensor；
3rd, sensor is respectively put into into sample A, B, C and reference substance D, is detected respectively with pulse signal, it is minimum using non-negative
Square law carries out Inversion Calculation, and corresponding data and testing result are as shown in the table：
As seen from the above table, for the material of single component is detected, the present invention provides the accuracy of detection method and exists substantially
More than 88%, with good accuracy in detection.
Embodiment 2：
1st, sample is configured：
Testing sample E：The aqueous solution of 0.3mol/L citric acid+0.4mol/L sucrose+0.6mol/L Sodium Chloride
Reference substance F：The aqueous solution of 0.5mol/L citric acid+0.8mol/L sucrose+1.0mol/L Sodium Chloride
2nd, prepared by sensor：
1) prepared by electrode：It is prepared by electrode：In the cubical facing of the politef of 1cm × 1cm × 0.5cm
Center is embedded in No. 1 platinum post of a height of 0.3cm of a diameter of 0.5cm；A diameter of 1.5mm is embedded in the top surface perpendicular to the facing
The copper post of a height of 3cm, and be connected with No. 1 platinum post；It is embedded straight at another facing center relative with above-mentioned facing
Footpath is No. 2 platinum posts of a height of 0.2cm of 1.5mm, and is connected with No. 1 platinum post, makes an electrode.Two phases are according to said method prepared altogether
Same electrode；
2) filter paper is cut into into 1cm × 1cm sizes, after soaking 15-30 minutes in testing sample, is clipped in two electrodes and is embedded with
No. 2 platinum posts facing between, it is fixed, constitute detection sensor；
3rd, sensor is respectively put into into sample E and reference substance F, is detected respectively with pulse signal, using singular value decomposition method
Inversion Calculation is carried out, corresponding data and testing result are as shown in the table：
As seen from the above table, for the material containing multiple characteristic components is detected, the present invention provides the accuracy of detection method
Substantially more than 87%, equally with good accuracy in detection.
Embodiment 3：
1st, sample is configured：
Sample G：4mg/L tripolycyanamide-milk power solution；
Sample H：8mg/L tripolycyanamide-milk power solution；
Sample I：12mg/L tripolycyanamide-milk power solution；
Reference substance J：15mg/L tripolycyanamide-milk power solution.
2nd, prepared by sensor：
1) prepared by electrode：It is prepared by electrode：In the cubical facing of the politef of 1cm × 1cm × 0.5cm
Center is embedded in No. 1 platinum post of a height of 0.3cm of a diameter of 0.5cm；A diameter of 1.5mm is embedded in the top surface perpendicular to the facing
The copper post of a height of 3cm, and be connected with No. 1 platinum post；It is embedded straight at another facing center relative with above-mentioned facing
Footpath is No. 2 platinum posts of a height of 0.2cm of 1.5mm, and is connected with No. 1 platinum post, makes an electrode.Two phases are according to said method prepared altogether
Same electrode；
2) filter paper is cut into into 1cm × 1cm sizes, after soaking 15-30 minutes in testing sample, is clipped in two electrodes and is embedded with
No. 2 platinum posts facing between, it is fixed, constitute detection sensor；
3rd, sensor is respectively put into into sample G, H, I and reference substance J, is detected respectively with pulse signal, using Joint iteration
Inversion algorithm carries out Inversion Calculation, and corresponding data and testing result are as shown in the table：
As seen from the above table, for the material detection of the single component of illegal addition in food system, the present invention provides detection
Method equally have good accuracy in detection.
The above is only only certain exemplary embodiments of this invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (3)
1. a kind of material composition detection method based on pulse relaxation signals curve, it is characterised in that including following step：
It is prepared by step one, electrode：It is embedded at the cubical facing center of the politef of 1cm × 1cm × 0.5cm
No. 1 platinum post of a height of 0.3cm of a diameter of 0.5cm；The a height of 3cm of a diameter of 1.5mm are embedded in the top surface perpendicular to the facing
Copper post, and be connected with No. 1 platinum post；It is embedded at another facing center relative with above-mentioned facing a diameter of
No. 2 platinum posts of a height of 0.2cm of 1.5mm, and be connected with No. 1 platinum post, make an electrode；Two identicals are according to said method prepared altogether
Electrode；
Step 2, filter paper is cut into 1cm × 1cm sizes, after soaking 15-30 minutes in testing sample, is clipped in two electrodes embedding
It is fixed between the facing of No. 2 platinum posts having, constitute detection sensor；
Step 3, sensor is put in testing sample, is detected with excitation signal of the pulse voltage as sensor, obtained
Multiple pulse relaxation signals；
Step 4, individual processing is carried out to each independent pulse relaxation signals, determined with specific unit interval different
Time point t1, t2..., tm, and extract centrifugal pump I of pulse relaxation signals under each time point(t)；
Step 5, set up curve model：
Wherein I(t)Represent the centrifugal pump in pulse relaxation signals obtained by t sampling；τiRepresent the die-away time of i-th kind of material；
IiRepresent the pure response current intensity of i-th kind of composition under pulse voltage in sample；N represent have in sample n into
Point；
Step 6, by formula 1 be expressed as according in step 4 specified time interval determine time point under equation group：
Step 7, formula 2 is abbreviated as
I=G*I0(formula 3)
That is,
Step 8, according to sample property, set minima τ1With maximum τn, then determined using natural logrithm method
τ2..., τn-1Each value；
Step 9, according to τ1, τ2..., τnAnd t1, t2..., tm, the matrix G being calculated in formula 3；
Step 10, by I(t)Formula 3 is substituted into G, vectorial I is obtained0；With vectorial I0As vertical coordinate, τ1, τ2..., τnFor abscissa
Mapping, obtains the crest figure of each composition in measured matter；
Step 11, the contrast that the crest figure of measured matter composition and reference substance crest figure are carried out appearance time and peak area,
Draw the species and content of each composition in measured matter.
2. detection method according to claim 1, it is characterised in that the specific unit interval described in step 4 is
5×10-5Second～1 × 10-3Arbitrary value in the range of second.
3. detection method according to claim 1, it is characterised in that the τ described in step 61, τ2..., τnτ1For 10-6
Second, 10-5Second, 10-4Second one kind therein, τnFor 1 second, 5 seconds, 10 seconds one kind therein.
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| CN109598245B (en) * | 2018-12-07 | 2023-02-07 | 上海理工大学 | Edible oil transverse relaxation attenuation curve signal feature extraction method based on 1D-CNN |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005073708A2 (en) * | 2004-01-29 | 2005-08-11 | Siemens Aktiengesellschaft | Method for measuring the concentration or change in concentration of a redox-active substance and corresponding device |
| CN101071117A (en) * | 2007-03-23 | 2007-11-14 | 浙江大学 | Electrochemical electronic tongue based on wide-bard pulse voltammetry |
| EP1010005B1 (en) * | 1997-09-07 | 2008-07-30 | Senset AB | Electronic tongue |
| CN101311711A (en) * | 2007-05-25 | 2008-11-26 | 浙江工商大学 | Intelligent chemical analysis system for liquid sample |
| CN101957342A (en) * | 2009-07-20 | 2011-01-26 | 杭州晟迈智能科技有限公司 | Volt-ampere electronic tongue |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6841053B2 (en) * | 2001-02-06 | 2005-01-11 | Otre Ab | Electronic tongue as ozone detector |
| US20030113933A1 (en) * | 2001-12-18 | 2003-06-19 | Rasmus Jansson | Analysis of components in liquids |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1010005B1 (en) * | 1997-09-07 | 2008-07-30 | Senset AB | Electronic tongue |
| WO2005073708A2 (en) * | 2004-01-29 | 2005-08-11 | Siemens Aktiengesellschaft | Method for measuring the concentration or change in concentration of a redox-active substance and corresponding device |
| CN101071117A (en) * | 2007-03-23 | 2007-11-14 | 浙江大学 | Electrochemical electronic tongue based on wide-bard pulse voltammetry |
| CN101311711A (en) * | 2007-05-25 | 2008-11-26 | 浙江工商大学 | Intelligent chemical analysis system for liquid sample |
| CN101957342A (en) * | 2009-07-20 | 2011-01-26 | 杭州晟迈智能科技有限公司 | Volt-ampere electronic tongue |
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