CN104698044A - Electronic tongue for food detection - Google Patents
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- CN104698044A CN104698044A CN201310660708.5A CN201310660708A CN104698044A CN 104698044 A CN104698044 A CN 104698044A CN 201310660708 A CN201310660708 A CN 201310660708A CN 104698044 A CN104698044 A CN 104698044A
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Abstract
The invention discloses an electronic tongue for food detection. By using an experimental system, distilled spirits of different brands with different and same odor types can be accurately identified, a PCA (principal component analysis) method is adopted to analyze the measured data to obtain a training sample which is completely linearly separable, the classification accuracy of a tested sample can reach 100%, and meanwhile, the system has the advantages of high speed, simple operation and the like; and an object sensor is applied a lot to clinical and food detection, and also can be used for detecting environment water quality. The electronic tongue for food detection, disclosed by the invention, can be used for detecting heavy metal ions in water, and the principle is that the heavy metal ions can inhibit the activity of enzymes; and the sensor is used for immobilizing urease to an FET (field effect transistor) surface sensitive to ammonia ions to form a urease field effect.
Description
One, field
The electronic tongues that a kind of use of the present invention is used for food inspection belongs to electronic applications.
Two, brief introduction
The general introduction of electronic tongues:
Modern science is divided into acid, hardship, five kinds of primary tastes such as sweet, salty, fresh to the taste in liquid.
Electronic tongues (electronic tongue) is exactly the instrument of taste judgement and analysis of components in application what resolution fluid.
It is a kind of instrument can differentiated at short notice with the different sense of taste (taste) in volumetric soiutions or chemical analysis.
Therefore electronic tongues is the one of bionical sensing science and technology, and its apish tongue and the sense of taste judge, other bionical sensing science and technology of relative what; As artitificial ear, Electronic Nose, electronic tongues still has much tera incognita to be developed.
Electronic tongues has to be analyzed fast, multi-usage and can be qualitative and determine the function of chemical analysis in solution.
Therefore the field of its application is very extensive, as food, industry, environmental monitoring ... Deng, can expect that more can apply what medical science in the future detects, is good for each side such as inspection at home.
The development and apply present situation of electronic tongues
Electronic tongues experienced by one section of longer development course.In the last few years, owing to having a extensive future, electronic tongues obtains and develops on a large scale very much.
Application:
Application in food freshness detects
The mankind distinguish quality and the freshness of food mainly through sense of smell and sense of taste system, and therefore, Electronic Nose and electronic tongues have himself using value in food inspection.
In starting material, adopt Electronic Nose to detect the freshness of olive oil and other edible oils whether rotten and fish, meat, veterinary antibiotics etc.
British scientist invents recently for checking vegetables and the whether dozy novel electron nose of fruit." La France " pears are plucked by Oshita etc. when immature, then they are divided into 3 groups. at 4 DEG C, preserve 115 d (immature phase) for the 1st group; (after lower storage 115 d, under 3o C, 1 d (maturity stage) is placed for 2nd group 4; 3rd group under 4 (', preserve 115 d after, under 3O C, place 5 d (full ripe stage).Analyze with the electric nasus system of 32 conducting polymer sensor arraies, adopt Non-linear mapping software to carry out data processing.Use chemical analysis method, GC and GC-MS to carry out point to the pears of these 3 different phases simultaneously
Analyse, conclusion is the pears that Electronic Nose clearly can distinguish 3 kinds of different mature periods, and has very strong correlativity with other analysis results.
The Freshness evaluation of traditional flesh of fish can measure amine by amperometric biosensor or measure with enzyme reflection, but these methods are not very suitable in reality detects.The electric nasus system that the painting tin metal oxide sensor array that O ' Connell etc. adopt 11 Figaro companies to produce is formed carrys out the freshness of evaluate and analyze Argentina codfish.They are same market
Fresh Argentinian codfish, is cut into the fillet of 2O ~ 60 g different quality, puts into refrigerator storage.
Application in fruits and vegetables degree of ripeness detects
In agricultural product, the detection of the degree of ripeness of fruit and vegetables not only closes consumer, is also related to the development of food industry.
The nondestructiving detecting means of current agricultural product is constantly developed, but they are all confined to specific agricultural product, and can not on-line checkingi be carried out, and detection by electronic nose can be accomplished, it is by the data-signal that obtained by odor detection and each mature indicator opening relationships of product, thus can accomplish the smell that fruit in on-line checkingi growth or vegetables are distributed and carry out degree of ripeness differentiation.
Existing manufacturer prepares to develop a set of electric nasus system in supermarket, for detecting the freshness of fruit and vegetables in real time, to improve the price of product at present.Benady etc. have invented a kind of fruit maturity sensor, according to its volatilization smell or do not have electronic induction odorous to distinguish.
Make use of detection of gas semiconductor in sensor, be positioned in the surface of fruit like a slight cap, namely the odor dispersion of mature fruit is out accumulated by cap, causes the change of sensor conductive rate, is then calculated by computer data system.When testing in laboratory, judge that fruit maturation or immature success ratio are divided into 3 groups (prematurity, half ripe, maturations) to detect at more than 9O, success ratio is 83.
Applied chemistry analysis in beverage recognition.
Chemical method is loaded down with trivial details, poor real, and the method detecting beverage quality before physicochemical analysis square mesh mainly contains chemical analysis and Physical needs more valuable instrument, and very high to technical requirement. be not suitable with the needs of express-analysis.
In the development of electronic tongues, taste sensor also can be easy to distinguish several beverage, such as coffee, ion beverage etc.LarisaLvova etc. study the utilization of electronic tongues in tealeaves flavour is analyzed.
Electronic tongues can predict caffeine (representing bitter taste), tannic acid (representing bitter taste and astringent taste), sucrose and glucose (representing sweet taste), L mono-arginine and the content of theanine (representing by acid to sweet variation range) and the total content of catechin well.
Electronic tongues can the quality of qualitative and quantitative analysis tealeaves.It will be a technology with bright prospects in taste evaluation.
Application in drinks identification
The application in drinks of Electronic Nose and electronic tongues, especially detect at the qualification of brand, peculiar smell, the research and development of new product, ingredient inspection, Spirit Quality Identification, alcoholic process management monitoring in have ample scope for one's abilities.
Utilize less gas sensor forming array. and improve artificial neural network identification software, carry out the identification of drinks, explore the approach that Electronic Nose is applied in drinks.
But in an experiment, to the meticulous identification of same drinks different brands, do not make further research.Shi Zhicun etc.
Test analysis has been done to the white wine of different brands, experiment shows: use this experimental system accurately can identify the white wine of different flavor and odor type different brands of the same race, adopt PCA (principal component analysis (PCA)) method to surveyed data analysis. draw the complete linear separability of training sample. the classification accuracy rate of test sample book can reach 1 00, this system has speed soon simultaneously, simple operation and other advantages.
Thing sensor is widely used in clinical and food inspection, also can be used for ambient water quality and detects.
A kind of urease biology sensor _ l, can detect the heavy metal ion in water, and its principle is the activity of heavy metal ion meeting inhibitory enzyme.
This sensor is fixed on the FET surface to ammonium ion sensitivity urase, defines urease field effect transistor (LlI ~ aenzymeFET).
Four, classification and composition
1, multi-channel taste sensor
This sensor is first fluid analysis multisensor syste based on nonspecific sensor, method, though be developed by people such as Toko nineteen ninety, it remains the selective and widely used taste sensor of most now.
This sensor is made up of the electrode that 8 contain lipid membrane, and lipid membrane lipid material forms.Lipid membrane is converted to electric signal the information of tastant.
Each lipid membrane is installed on the plastic tube in a band hole, and such column body is just isolated from the outside.
The end of pipe seals with a stopper, and stopper is equipped with Ag/Agcl electrode.Pipe fills the KC1 solution of 3mol/L.
8 detecting electrodes are divided into two groups, and are connected with 2 electrode holders.Electrode is by manipulator control.
Tastant makes the current potential of lipid membrane change, and exports electric signal.This electric signal is character and the intensity of tastant taste, instead of the quantity of tastant.
The response modes producing the material of different taste characteristics is different, therefore, can be easy to distinguish each taste.
Because standard deviation is less than 1%, so the property rechecked is very high.On the other hand, taste sensor has the response modes similar to same sense of taste group, such as: the sample HC1 of acid substance, citric acid and acetic acid have similar response modes.These salty materials of NaCI, KC1, KBr, also have similar response modes.
For other tastant, as bitter taste, sweet taste with freshly to hide, be also suitable for.Taste sensor can respond the taste of its correspondence, and taste sensor has the ability of chemical substance being carried out to molecular recognition.Therefore, hyperchannel taste sensor is used can to distinguish different beverages easily.
As can be seen from the PCA result of hyperchannel taste sensor to the response characteristic curve of the beer of 33 brands: after PCA data processing, first pivot is relevant with light degree with the strong degree of beer taste, and the second pivot is relevant with strong degree with the soften of beer.
The great advantage of taste sensor need not carry out pre-service to any food exactly, and beverage can be detected taste once pouring cup into, uses taste sensor can detect taste over time.
This sensor also can be used for analyzing gluey or food, as tomato, first can pulverize them with stirring machine; Also can be used to detect the pollution condition of plant drainage, many pollutants as CN mono-, Fe ", cu ", can in minutes detect.
Use various regretional analysis optionally can detect prussiate.
Multi-channel taste sensor to the identification of tastant, in fact based on lipid membrane.
Tool related documents is introduced, and the lipid membrane of taste sensor system has the feature of typical long term drift, the composition of the characteristic dependence film of this long term drift and electromotive force fluctuation.
Electronic tongue based on voltammetry
Electronic tongue based on voltammetry is made up of the array of working electrodes of one group of noble metal, instead of the unitary electrode in classic method.
There are two kinds of voltammetries: little amplitude pulse voltammetry (SAPV) and large-amplitude pulse voltammetry (LAPV).The application choice of electronic tongues LAPV.With the different magnitude of voltage of 15 ~ 100mV, each electrode have collected some data points.In data processing, the data point played a crucial role is selected to be used for calibrating and identifying.
Use has the electronic tongues of 2 working electrodes (platinum and gold) to detect different beverage: the orange juice of 9 brands, the orange juice soft drink of two types, cider and pasteurized milk, find that this electronic tongues can distinguish different types of beverage, by PCA process data.Also the changes such as aging, the oxidation of beverage can be detected by this electronic tongues.
By the electronic tongues having 5 working electrodes (platinum, gold, iridium, palladium, rhodium), detect milk fermentation and bacteria breed.Detect 11 samples of milk, opening packaging will carry out immediately, then, obtains a maximal value every 30min.
In 2 milk samples, add bacteriostatic agent (sodium azide) prevent bacteria breed.By means of dip.slide test, every 2h detects the bacterial clump in milk sample, then, calibrates by reference value.
Multivariate calibration is carried out by local least square method (PLS) regression algorithm with by means of back-propagation artificial neural network (BPNN).
There is the synthesis electronic tongues combining voltammetry of 6 working electrodes (platinum, gold, iridium, palladium, rhodium and rhenium), 2 ion-selective electrodes (pH and chloride), dioxide electrode and conductance, be used for identifying fermented milk sample together with temperature sensor, process data with PCA and BPNN (reverse artificial neural network), BPNN is used for classifying.
Verified: the combination of voltammetry, potentiometry and conductimetry, the recognition capability of electronic tongues can be improved.
Voltammetry has hypersensitivity, multifunctionality, simplicity and robustness, so voltammetry becomes widely used analytical technology.But this method also exists some problems, the difference as occurred in the chemical reaction on different noble metal electrode is not clear; The sensitivity characteristic of electronic tongue based on voltammetry to bacterium is unclear.
Biosensors Biosensors is made up of sensitive element and signal processing apparatus.
Sensitive element is divided into again molecular recognition elements and transducer two parts, molecular recognition elements generally by bioactive materials, as formations such as enzyme, microorganism and DNA.According to the difference of transducer medium, biology sensor can be divided into electrochemica biological sensor, optical biosensor and piezoelectric biological sensor; Also can by the different demarcation of active material.
Biology sensor can be used for the detection to gas or liquid, and presented here is several biology sensor for liquid detecting (electronic tongues).
Biology sensor can be used for the detection of remains of pesticide in food, if any a kind of biology sensor, use synthetic enzyme is active material, utilize organophosphorus insecticide hydrolytic enzyme, the determination limit of paranitrophenol and diethyl phenol is 10 ~ mol, below 4|D DEG C, mensuration only needs 4min, can be used for measuring organophosphorus insecticide residual in food.
This biology sensor utilizes the piezoelectric effect of quartz crystal to realize energy conversion and sensing.
Whether it is by containing in molecular recognition elements perception sample or containing how many biological macromolecules target sequence to be measured, and the signal of perception is converted to observable signal by transducer.The development of quartz resonance biology sensor, originates from the research of the people such as nineteen fifty-nine Sauerbrey.The advantage of this sensor is dynamic, quantitatively monitoring target, in a liquid can direct obtaining information, can realize the detection of single sample multi objective or multisample single index.
This sensor is formed electrode with the material of conductance, semiconductor or ionic conduction, on scribble one deck biological chemistry film as sensitive membrane, as, YonHin and the ZhuJian-people such as zhong fixing glucose oxidase on microelectrode has made miniature glucose sensor J.The people such as Kim have made the microbiosensor for whole blood by MEMS technology, and the working electrode of this sensor is made up of the tiny array electrode of 30 × 30, and the diameter of single electrode is 6m.
Raw urea enzyme biologic sensor is immersed after in 1.0 × 10mol/L urea liquid, output voltage signal is stablized by the time, in urea liquid, add mercury ion solution, concentration increases gradually.
Add mercury ion, can produce immobilized enzyme rapidly and suppress (t=5min), the electric signal of measurement also declines thereupon.
When ion concentration of mercury increases to 10mol/L gradually, the residual activity of enzyme is almost all suppressed, and the lower limit of detection is 5 × 10 1 mol/L.Detect the test of mercury ion, demonstrate urease biosensor application in the possibility of water quality monitoring.
The combination of electronic tongues and Electronic Nose
No matter human or animal, always nose and mouth are from obtaining very, objectively cause from different perspectives to the possibility that same food identifies simultaneously.
To species analysis, use electronic tongues and Electronic Nose simultaneously, obviously many accurately than being used alone one of them.
Detecting wine with electronic tongues and the combination of Electronic Nose is a more typical example.Drinking utensils has the feature of taste and smell, because aromatic molecule is different under liquids and gases state.With the wine that electronic tongues and detection by electronic nose four kinds is different, from detect, obtain eight and four-dimensional data array respectively.
Because the output quantity of these two kinds of sensors is different, so, a standardisation process must be had.
After each data acquisition is standardized, the detection of each four kinds of different wine is obtained to the data array of ten two dimensions.The combination of two data acquisitions has caused a kind of new representation of sample at ten two-dimensional spaces, this representation comprises the information produced from electronic tongues and Electronic Nose about tested sample simultaneously.
Gratifying to the differentiation effect of four kinds of wine.Similar to Electronic Nose situation in the relevant configuration of pivot planar module, under the effect of electronic tongues, pitch requirements relatively large between the assembly successfully reaching red wine (2 and 5) and white wine (1 and 4).
To with the combination of electronic tongues and Electronic Nose, other beverage distinguished beyond wine is also studied ...
Electronic Nose has 10 catalytically-active metals, if platinum, iridium, palladium are MOSFET (mos field effect transistor) sensor and 4 metal oxide (Taguchi) sensors of grid.
Electronic tongues is made up of 6 metal volt-ampere electrodes.With these two kinds of sensors, 4 of cider, orange juice and pineapple juice samples are detected.Carry out data processing by PCA and PLS, wherein, PLS is used for setting up a digital disaggregated model.Know that being used alone Electronic Nose can not distinguish cider and pineapple juice from PCA.
On the other hand, when being used alone electronic tongues data, orange juice sample can not distinguish completely from cider.By using each data acquisition respectively, PLS model can accurately distinguish all samples.
When the data of two kinds of sensors are combined, classification capacity can be improved.The formation Electronic Nose of J Electronic Nose and electronic tongues is made up of function elements such as gas sensor, signal processing system and pattern recognition system.
Smell due to food is the concentrated expression of Multiple components, so the odor perception part of Electronic Nose often adopts multiple gas sensor composition array with different choice, utilize it to the cross-sensitivity of multiple gases, the effect of different scent molecules on its surface is converted into
The convenient physical signalling surveyed group that is that calculate and time correlation, realizes analysing mixed.
In electric nasus system, gas sensor array is key factor, and the main Types of current Electronic Nose sensor has conductivity type sensor, the material of piezoelectric type sensor is metal oxide, macromolecule polymer material, piezoelectric etc.
Pattern-recognition part in signal processing system mainly adopts the method such as artificial neural network and statistical-simulation spectrometry.
Artificial neural network has very strong processing power to process nonlinear problem, and can simulate biological nerve connections to a certain extent, therefore obtains widely in Artificial Olfactory
Application.
Owing to installing the different sensor array of multiclass in same instrument, make detection more can simulating human olfactory nucleus, according to odor identification with utilize stoichiometry statistics software to differentiate fast different odor.On the basis of building database, data calculating and identification are carried out to each sample, can obtain " the smell fingerprint image " and " scent marking " of sample.
Electronic Nose have employed artificial intelligence technology, achieve and carry out owing to being furnished with dissimilar sensor in this intelligent sensor matrix system by instrument " sense of smell " to product, make it can the nose of more abundant Simulation of Complex, also obtain the out and out proof of identification of certain product by it. thus auxiliary expert carries out systematization, the monitoring of scientific smell rapidly, differentiates, judges and analyze one.
Electronic tongues is that the most frequently used gas sensor, it can detect tastant in the taste perception mode of similar people with the sense of taste biography sensor, field effect transistor, the Fibre Optical Sensor etc. of lipid membrane as tastant transducer.
In in recent years, there is the integrated of Electronic Nose and electronic tongues in application sensors array and the digital signal processing method according to pattern-recognition.In Russia, research electronic tongues and Electronic Nose are combined into novel analytical instrument, the electronic tongues that the top of its measuring sonde is made up of multiple sense of taste electrode, the Electronic Nose be then made up of multiple smell sensor in bottom, sensor array in its electronic tongues selects according to method in advance, and each sensor unit has to be handed over and sensitivity.
Claims (7)
1. a kind of use of the present invention is used for the electronic tongues of food inspection: use this experimental system accurately can identify the white wine of different flavor and odor type different brands of the same race, adopt PCA (principal component analysis (PCA)) method to surveyed data analysis. draw the complete linear separability of training sample. the classification accuracy rate of test sample book can reach 1 00, this system has speed soon simultaneously, simple operation and other advantages;
Thing sensor is widely used in clinical and food inspection, also can be used for ambient water quality and detects;
A kind of use of the present invention is used for the electronic tongues of food inspection can detect heavy metal ion in water, and its principle is that heavy metal ion can the activity of inhibitory enzyme;
This sensor is fixed on the FET surface to ammonium ion sensitivity urase, defines urease field effect transistor (LlI ~ aenzymeFET);
This sensor is made up of the electrode that 8 contain lipid membrane, and lipid membrane lipid material forms; Lipid membrane is converted to electric signal the information of tastant;
Each lipid membrane is installed on the plastic tube in a band hole, and such column body is just isolated from the outside;
The end of pipe seals with a stopper, and stopper is equipped with Ag/Agcl electrode; Pipe fills the KC1 solution of 3mol/L;
8 detecting electrodes are divided into two groups, and are connected with 2 electrode holders; Electrode is by manipulator control;
Tastant makes the current potential of lipid membrane change, and exports electric signal; This electric signal is character and the intensity of tastant taste, instead of the quantity of tastant;
The response modes producing the material of different taste characteristics is different, therefore, can be easy to distinguish each taste;
Because standard deviation is less than 1%, so the property rechecked is very high; On the other hand, taste sensor has the response modes similar to same sense of taste group, and the sample HC1 of acid substance, citric acid and acetic acid have similar response modes; For other tastant, as bitter taste, sweet taste with freshly to hide, be also suitable for; Taste sensor can respond the taste of its correspondence, and taste sensor has the ability of chemical substance being carried out to molecular recognition; Therefore, hyperchannel taste sensor is used can to distinguish different beverages easily;
As can be seen from the PCA result of hyperchannel taste sensor to the response characteristic curve of the beer of 33 brands: after PCA data processing, first pivot is relevant with light degree with the strong degree of beer taste, and the second pivot is relevant with strong degree with the soften of beer;
The great advantage of taste sensor need not carry out pre-service to any food exactly, and beverage can be detected taste once pouring cup into, uses taste sensor can detect taste over time;
This sensor also can be used for analyzing gluey or food, many pollutants as CN mono-, Fe ", cu ", can in minutes detect;
Use various regretional analysis optionally can detect prussiate;
Multi-channel taste sensor to the identification of tastant, in fact based on lipid membrane;
Tool related documents is introduced, and the lipid membrane of taste sensor system has the feature of typical long term drift, the composition of the characteristic dependence film of this long term drift and electromotive force fluctuation;
Electronic tongue based on voltammetry
Electronic tongue based on voltammetry is made up of the array of working electrodes of one group of noble metal, instead of the unitary electrode in classic method;
There are two kinds of voltammetries: little amplitude pulse voltammetry (SAPV) and large-amplitude pulse voltammetry (LAPV); The application choice of electronic tongues LAPV; With the different magnitude of voltage of 15 ~ 100mV, each electrode have collected some data points; In data processing, the data point played a crucial role is selected to be used for calibrating and identifying;
Use has the electronic tongues of 2 working electrodes (platinum and gold) to detect different beverage: the orange juice of 9 brands, the orange juice soft drink of two types, cider and pasteurized milk, find that this electronic tongues can distinguish different types of beverage, by PCA process data; Also the changes such as aging, the oxidation of beverage can be detected by this electronic tongues;
By the electronic tongues having 5 working electrodes (platinum, gold, iridium, palladium, rhodium), detect milk fermentation and bacteria breed; Detect 11 samples of milk, opening packaging will carry out immediately, then, obtains a maximal value every 30min;
In 2 milk samples, add bacteriostatic agent (sodium azide) prevent bacteria breed; By means of dip.slide test, every 2h detects the bacterial clump in milk sample, then, calibrates by reference value;
Multivariate calibration is carried out by local least square method (PLS) regression algorithm with by means of back-propagation artificial neural network (BPNN);
There is the synthesis electronic tongues combining voltammetry of 6 working electrodes (platinum, gold, iridium, palladium, rhodium and rhenium), 2 ion-selective electrodes (pH and chloride), dioxide electrode and conductance, be used for identifying fermented milk sample together with temperature sensor, process data with PCA and BPNN (reverse artificial neural network), BPNN is used for classifying;
Verified: the combination of voltammetry, potentiometry and conductimetry, the recognition capability of electronic tongues can be improved;
Voltammetry has hypersensitivity, multifunctionality, simplicity and robustness, so voltammetry becomes widely used analytical technology; But this method also exists some problems, the difference as occurred in the chemical reaction on different noble metal electrode is not clear; The sensitivity characteristic of electronic tongue based on voltammetry to bacterium is unclear.
2. Biosensors Biosensors is made up of sensitive element and signal processing apparatus;
Sensitive element is divided into again molecular recognition elements and transducer two parts, molecular recognition elements generally by bioactive materials, as formations such as enzyme, microorganism and DNA; According to the difference of transducer medium, biology sensor can be divided into electrochemica biological sensor, optical biosensor and piezoelectric biological sensor; Also can by the different demarcation of active material;
Biology sensor can be used for the detection to gas or liquid, and presented here is several biology sensor for liquid detecting (electronic tongues);
Biology sensor can be used for the detection of remains of pesticide in food, if any a kind of biology sensor, use synthetic enzyme is active material, utilize organophosphorus insecticide hydrolytic enzyme, the determination limit of paranitrophenol and diethyl phenol is 10 ~ mol, below 4|D DEG C, mensuration only needs 4min, can be used for measuring organophosphorus insecticide residual in food.
3. a kind of use of the present invention is used for the electronic tongues of food inspection and utilizes the piezoelectric effect of quartz crystal to realize energy conversion and sensing;
Whether it is by containing in molecular recognition elements perception sample or containing how many biological macromolecules target sequence to be measured, and the signal of perception is converted to observable signal by transducer; The development of quartz resonance biology sensor, originates from the research of the people such as nineteen fifty-nine Sauerbrey; The advantage of this sensor is dynamic, quantitatively monitoring target, in a liquid can direct obtaining information, can realize the detection of single sample multi objective or multisample single index.
4. this sensor is formed electrode with the material of conductance, semiconductor or ionic conduction, on scribble one deck biological chemistry film as sensitive membrane, as, YonHin and the ZhuJian-people such as zhong fixing glucose oxidase on microelectrode has made miniature glucose sensor J; The people such as Kim have made the microbiosensor for whole blood by MEMS technology, and the working electrode of this sensor is made up of the tiny array electrode of 30 × 30, and the diameter of single electrode is 6m;
Raw urea enzyme biologic sensor is immersed after in 1.0 × 10mol/L urea liquid, output voltage signal is stablized by the time, in urea liquid, add mercury ion solution, concentration increases gradually;
Add mercury ion, can produce immobilized enzyme rapidly and suppress (t=5min), the electric signal of measurement also declines thereupon;
When ion concentration of mercury increases to 10mol/L gradually, the residual activity of enzyme is almost all suppressed, and the lower limit of detection is 5 × 10 1 mol/L; Detect the test of mercury ion, demonstrate urease biosensor application in the possibility of water quality monitoring;
The combination of electronic tongues and Electronic Nose
No matter human or animal, always nose and mouth are from obtaining very, objectively cause from different perspectives to the possibility that same food identifies simultaneously;
To species analysis, use electronic tongues and Electronic Nose simultaneously, obviously many accurately than being used alone one of them;
Detecting wine with electronic tongues and the combination of Electronic Nose is a more typical example; Drinking utensils has the feature of taste and smell, because aromatic molecule is different under liquids and gases state; With the wine that electronic tongues and detection by electronic nose four kinds is different, from detect, obtain eight and four-dimensional data array respectively;
Because the output quantity of these two kinds of sensors is different, so, a standardisation process must be had;
After each data acquisition is standardized, the detection of each four kinds of different wine is obtained to the data array of ten two dimensions; The combination of two data acquisitions has caused a kind of new representation of sample at ten two-dimensional spaces, this representation comprises the information produced from electronic tongues and Electronic Nose about tested sample simultaneously.
5. the differentiation effect of pair four kinds of wine is gratifying; Similar to Electronic Nose situation in the relevant configuration of pivot planar module, under the effect of electronic tongues, pitch requirements relatively large between the assembly successfully reaching red wine (2 and 5) and white wine (1 and 4);
To with the combination of electronic tongues and Electronic Nose, other beverage distinguished beyond wine is also studied
Electronic Nose has 10 catalytically-active metals, if platinum, iridium, palladium are MOSFET (mos field effect transistor) sensor and 4 metal oxide (Taguchi) sensors of grid;
Electronic tongues is made up of 6 metal volt-ampere electrodes; With these two kinds of sensors, 4 of cider, orange juice and pineapple juice samples are detected; Carry out data processing by PCA and PLS, wherein, PLS is used for setting up a digital disaggregated model; Know that being used alone Electronic Nose can not distinguish cider and pineapple juice from PCA;
On the other hand, when being used alone electronic tongues data, orange juice sample can not distinguish completely from cider; By using each data acquisition respectively, PLS model can accurately distinguish all samples;
When the data of two kinds of sensors are combined, classification capacity can be improved; The formation Electronic Nose of J Electronic Nose and electronic tongues is made up of function elements such as gas sensor, signal processing system and pattern recognition system;
Smell due to food is the concentrated expression of Multiple components, so the odor perception part of Electronic Nose often adopts multiple gas sensor composition array with different choice, utilize it to the cross-sensitivity of multiple gases, different scent molecules is converted into the convenient physical signalling surveyed group that is that calculate and time correlation in the effect on its surface, realizes analysing mixed;
In electric nasus system, gas sensor array is key factor, and the main Types of current Electronic Nose sensor has conductivity type sensor, the material of piezoelectric type sensor is metal oxide, macromolecule polymer material, piezoelectric etc.;
Pattern-recognition part in signal processing system mainly adopts the method such as artificial neural network and statistical-simulation spectrometry;
Artificial neural network has very strong processing power to process nonlinear problem, and can simulate biological nerve connections to a certain extent, is therefore widely used in Artificial Olfactory.
6. a kind of use of the present invention is used for the electronic tongues of food inspection owing to installing the different sensor array of multiclass in same instrument, make detection more can simulating human olfactory nucleus, according to odor identification with utilize stoichiometry statistics software to differentiate fast different odor; On the basis of building database, data calculating and identification are carried out to each sample, can obtain " the smell fingerprint image " and " scent marking " of sample;
Electronic Nose have employed artificial intelligence technology, achieve and carry out owing to being furnished with dissimilar sensor in this intelligent sensor matrix system by instrument " sense of smell " to product, make it can the nose of more abundant Simulation of Complex, also obtain the out and out proof of identification of certain product by it. thus auxiliary expert carries out systematization, the monitoring of scientific smell rapidly, differentiates, judges and analyze one.
7. a kind of use of the present invention is used for the sense of taste biography sensor, field effect transistor, the Fibre Optical Sensor etc. of electronic tongues lipid membrane as tastant transducer of food inspection, the most frequently used gas sensor, it can detect tastant in the taste perception mode of similar people;
In in recent years, there is the integrated of Electronic Nose and electronic tongues in application sensors array and the digital signal processing method according to pattern-recognition; In Russia, research electronic tongues and Electronic Nose are combined into novel analytical instrument, the electronic tongues that the top of its measuring sonde is made up of multiple sense of taste electrode, the Electronic Nose be then made up of multiple smell sensor in bottom, sensor array in its electronic tongues selects according to method in advance, and each sensor unit has to be handed over and sensitivity.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106053731A (en) * | 2016-07-14 | 2016-10-26 | 云南中烟工业有限责任公司 | Simulating mechanical tongue |
| CN106248893A (en) * | 2016-09-21 | 2016-12-21 | 成都创慧科达科技有限公司 | A kind of detection device based on multiple sensors |
| CN106514669A (en) * | 2016-12-22 | 2017-03-22 | 苏州天为幕烟花科技有限公司 | Portable device for feeding patient or old person |
| CN106881274A (en) * | 2017-04-20 | 2017-06-23 | 亳州市永刚饮片厂有限公司 | The stage division and hierarchy system of a kind of moutan bark |
| CN107274065A (en) * | 2017-05-15 | 2017-10-20 | 崔哲 | The subjective assessment of food taste and flavor and spectroscopic data modeling method and system |
| CN108535470A (en) * | 2018-06-29 | 2018-09-14 | 武汉中科志康生物科技有限公司 | A kind of enzyme biologic sensor and the preparation method and application thereof of detection heavy metal |
| CN109406267A (en) * | 2018-04-28 | 2019-03-01 | 东北电力大学 | A kind of three-dimensional reconstruction method of apple tongue touching mechanical information |
| CN110333328A (en) * | 2019-07-22 | 2019-10-15 | 云霄县食品快检中心 | A kind of rapid detection method based on food inspection vehicle |
| CN111289477A (en) * | 2020-03-02 | 2020-06-16 | 淮阴工学院 | SPR photon tongue sensing array-based DOM component detection method |
| CN111475936A (en) * | 2020-04-03 | 2020-07-31 | 东北电力大学 | Taste perception model-based taste recognition method |
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| CN106053731A (en) * | 2016-07-14 | 2016-10-26 | 云南中烟工业有限责任公司 | Simulating mechanical tongue |
| CN106053731B (en) * | 2016-07-14 | 2018-08-31 | 云南中烟工业有限责任公司 | A kind of analog mechanical tongue |
| CN106248893A (en) * | 2016-09-21 | 2016-12-21 | 成都创慧科达科技有限公司 | A kind of detection device based on multiple sensors |
| CN106514669A (en) * | 2016-12-22 | 2017-03-22 | 苏州天为幕烟花科技有限公司 | Portable device for feeding patient or old person |
| CN106881274A (en) * | 2017-04-20 | 2017-06-23 | 亳州市永刚饮片厂有限公司 | The stage division and hierarchy system of a kind of moutan bark |
| CN107274065A (en) * | 2017-05-15 | 2017-10-20 | 崔哲 | The subjective assessment of food taste and flavor and spectroscopic data modeling method and system |
| CN109406267A (en) * | 2018-04-28 | 2019-03-01 | 东北电力大学 | A kind of three-dimensional reconstruction method of apple tongue touching mechanical information |
| CN108535470A (en) * | 2018-06-29 | 2018-09-14 | 武汉中科志康生物科技有限公司 | A kind of enzyme biologic sensor and the preparation method and application thereof of detection heavy metal |
| CN110333328A (en) * | 2019-07-22 | 2019-10-15 | 云霄县食品快检中心 | A kind of rapid detection method based on food inspection vehicle |
| CN111289477A (en) * | 2020-03-02 | 2020-06-16 | 淮阴工学院 | SPR photon tongue sensing array-based DOM component detection method |
| CN111289477B (en) * | 2020-03-02 | 2022-05-27 | 淮阴工学院 | SPR photon tongue sensing array-based DOM component detection method |
| CN111475936A (en) * | 2020-04-03 | 2020-07-31 | 东北电力大学 | Taste perception model-based taste recognition method |
| CN111475936B (en) * | 2020-04-03 | 2024-05-17 | 东北电力大学 | Taste recognition method based on taste perception model |
| WO2021237974A1 (en) * | 2020-05-26 | 2021-12-02 | 江苏大学 | Volt-ampere electronic tongue-based device and method for rapid testing of physical and chemical indicators of soybean sauce |
| CN112322690A (en) * | 2020-10-26 | 2021-02-05 | 浙江大学 | Method for detecting bitter substances based on coupled signals of excitation and contraction of cardiac muscle cells |
| CN113740410A (en) * | 2021-09-26 | 2021-12-03 | 浙江工商大学 | Method for detecting wet-type maturation maturity of tuna meat |
| CN114113249A (en) * | 2021-11-25 | 2022-03-01 | 浙江大学 | Heavy metal extraction and detection method for infant milk powder |
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