CN107632045A - Utilize the method for metal oxide semiconductor sensor array detection Patinopecten yessoensis quality - Google Patents
Utilize the method for metal oxide semiconductor sensor array detection Patinopecten yessoensis quality Download PDFInfo
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- CN107632045A CN107632045A CN201710790784.6A CN201710790784A CN107632045A CN 107632045 A CN107632045 A CN 107632045A CN 201710790784 A CN201710790784 A CN 201710790784A CN 107632045 A CN107632045 A CN 107632045A
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Abstract
The present invention relates to a kind of method using metal oxide semiconductor sensor array detection Patinopecten yessoensis quality, scallop is divided into 3 grades according to freshness；5 Patinopecten yessoensis samples are selected per one kind, is respectively put into 3 shuttles and seals, heat and stand；Collect headspace gas；Gas injection metal oxide semiconductor sensor array apparatus is detected analysis；Acquisition arithmetic mean of instantaneous value is calculated to the data of each file of matrix；The Patinopecten yessoensis sealing of quality need to be detected, heat and stand, collect headspace gas and inject metal oxide semiconductor sensor array apparatus and be detected analysis collection and store gas related data, calculate and obtain arithmetic mean of instantaneous value, obtain testing the odor characteristics matrix of Patinopecten yessoensis；The Euclidean distance of the odor characteristics matrix of test Patinopecten yessoensis and the canonical matrix of standard reference sample Patinopecten yessoensis is calculated respectively, compares the value of Euclidean distance one by one, takes grade corresponding to minimum value to represent the test affiliated freshness degree of Patinopecten yessoensis qualitative characteristics.
Description
Technical field
The present invention relates to a kind of method for detecting Patinopecten yessoensis quality, is that one kind utilizes metal oxide half specifically
The method that conductor sensor array detects Patinopecten yessoensis quality, belongs to Patinopecten yessoensis Quality Detection technical field.
Background technology
The quick detection and attributional analysis of Patinopecten yessoensis need the naked eyes evaluation group by specialty or the physics and chemistry of complexity
Instrument, and certain specialty background is needed, although electronic nose is fast-developing in recent years, it can analyze, identification and detection of complex gas
Body and volatile ingredient, and possess the advantages that certain quick, sensitive, but its equipment is expensive, the technology of maintenance and operation
It is required that high, this all restricts popularization of the electronic nose in actual production, and this requires that one kind is simple, reliably, cheap and carrying
Convenient portable quality evaluation equipment adapts to the demand of industry.Due to the selection for mixed gas of single sensor
Property it is poor, usually using multiple performance crossovers gas sensor composition sensor array.In theory, in sensor array
Gas sensor gas-sensitive property difference is bigger, and number of sensors is more, and differentiation of the array to different odor feature is more accurate,
But if the sensor in array is excessive, will increase the volume of system, increase the conversion, collection, biography of analog signal data
Defeated and processing difficulty, and by the development cost for the system that greatly improves.The cost of detection device how is reduced, realizes optimal biography
The combination of sensor, and take into account the skill realized quick detection, be Patinopecten yessoensis Quality Detection presently, there are of Patinopecten yessoensis quality
Art problem.
The content of the invention
The technical problem to be solved in the invention is：It is expensive that the equipment price of Patinopecten yessoensis quality is detected in the prior art,
Attended operation is complicated, and the difficulty of conversion, collection, transmission and the processing of analog signal data is big.
The present invention takes following technical scheme：
A kind of method using metal oxide semiconductor sensor array detection Patinopecten yessoensis quality, including following step
Suddenly：
A a collection of Patinopecten yessoensis in the process of circulation) is chosen, sensory evaluation is carried out through organoleptic examination personnel, according to fresh journey
Degree is divided into 3 grades, using this batch of Patinopecten yessoensis as standard reference sample；
B 5 Patinopecten yessoensis samples) are selected from standard reference sample Patinopecten yessoensis per one kind, are respectively put into 3 shuttles
Middle sealing, the volume of shuttle is 300ml, is heated to 50-55 DEG C, the heat time is controlled within 5min, is incubated and is stood
15-25min；
C) collection air tube is inserted in shuttle, collects headspace gas 50ml, acquisition time 10-20s；
D the gas injection metal oxide semiconductor sensor array apparatus) collected is detected analysis, per a kind of scallop
Sample respectively gathers 30 groups of data；Data acquisition lag time is 600s, and acquisition time 180s, the acquisition interval time is 6s；Institute
State data acquisition lag time refer to metal oxide semiconductor sensor array apparatus open after reach stable operation when
Between；
E) collect and store gas related data, the data of collection are analyzed and processed using data handling system, have
Body is as follows：The data of collection are described as Patinopecten yessoensis characteristic matrix：
Wherein, a, b, c are the voltage parameters that metal oxide semiconductor sensor measures；FA, FB, FCPatinopecten yessoensis reference is corresponded to respectively
The Three Estate；N numerical value of each determinant in matrix, the shrimp obtained is gathered by numbering 1 to n sensors respectively and razes fan
Magnitude of voltage corresponding to shellfish odor characteristics, and correspond；30 numerical value of each lap siding, are represented in acquisition time in matrix
The 30 groups of Patinopecten yessoensis odor characteristics data obtained；
F) data in each file in Patinopecten yessoensis characteristic matrix are handled, picked using Rhein up to criterion
Except abnormal data, acquisition arithmetic mean of instantaneous value is calculated to the data of each file of matrix, obtains new odor characteristics matrix F1=
[a1, ave…aN, ave], F2=[b1, ave…bN, ave], F3=[c1, ave…cN, ave], the odor characteristics matrix is standard reference sample
The odor characteristics data of Patinopecten yessoensis, the quality standard as metal oxide semiconductor sensor array detection Patinopecten yessoensis
Matrix；
G the Patinopecten yessoensis of quality need to be detected by) choosing, and be put into shuttle and sealed, and the volume of shuttle is 300ml,
50-55 DEG C is heated to, the heat time is controlled within 5min, is incubated and is stood 15-25min, by collection air tube insertion insertion sample
In container, headspace gas 50ml, acquisition time 10-20s are collected, the gas injection metal-oxide semiconductor (MOS) sensing being collected into
Device array apparatus is detected analysis, and data acquisition lag time is 600s；Acquisition time is 180s, and the acquisition interval time is 6s,
30 groups of data are gathered, collects and stores gas related data, obtain data matrix：It is right
Data in matrix T in each file are handled, and criterion rejecting abnormalities data are reached using Rhein, to matrix T each file
Data calculate obtain arithmetic mean of instantaneous value, obtain test Patinopecten yessoensis odor characteristics matrix：Tave=[g1, ave…gN, ave]；
H the canonical matrix of the odor characteristics matrix for testing Patinopecten yessoensis and standard reference sample Patinopecten yessoensis) is calculated respectively
Euclidean distance, calculating formula are：
Compare D1、D2、D3Value, take minimum value, grade corresponding to the minimum value represents that test Patinopecten yessoensis quality is special
Freshness degree belonging to sign；If minimum value is D1, then it represents that test the qualitative characteristics and F of Patinopecten yessoensisAMost like, test shrimp razes fan
The grade of shellfish is fresh (A classes), by that analogy, minimum value D2, then it represents that test the qualitative characteristics and F of Patinopecten yessoensisBMost phase
Seemingly, the grade for testing Patinopecten yessoensis is time fresh (B classes)；Minimum value is D3, then it represents that test the qualitative characteristics of Patinopecten yessoensis with
FCMost like, the grade for testing Patinopecten yessoensis is stale (C classes).
Further, the n is equal to 12.
The method have the characteristics that：
1) sensory evaluation is carried out to the Patinopecten yessoensis of the process of circulation using professional sensory evaluation group, forms standard reference
Sample, the quality evaluation matrix to form standard reference sample, the method are detected using metal oxide semiconductor sensor array apparatus
It is easy to be reliable, it can fully reflect the quality characteristic of Patinopecten yessoensis sample.
2) method for differentiating Patinopecten yessoensis quality is to utilize the metal oxide semiconductor sensor array of n model, knot
Euclidean distance computational methods are closed, realize the quick discriminating to Patinopecten yessoensis quality, the present invention is to the letter of actually detected sample pre-treatments
It is single, it is natural pollution-free without any organic solvent, and do not need the complex instruments such as gas chromatograph-mass spectrometer (GC-MS).
3) method of Patinopecten yessoensis quality is differentiated, it is more inexpensively, more objective, it is faster, it is easy to popularize and promotes, has one
Fixed positive effect, measure effect is objective reliable, solve the accidentalia during attributional analysis and manpower differentiate it is low
Efficiency and high cost.
4) price of detection device is relatively low, and attended operation is simple, conversion, collection, transmission and the processing of analog signal data
Difficulty it is relatively low.
Embodiment
With reference to specific embodiment, the present invention is further described.
A kind of method using metal oxide semiconductor sensor array detection Patinopecten yessoensis quality, including following step
Suddenly：
A a collection of Patinopecten yessoensis in the process of circulation) is chosen, sensory evaluation is carried out through organoleptic examination personnel, according to fresh journey
Degree is divided into 3 grades, using this batch of Patinopecten yessoensis as standard reference sample；
B 5 Patinopecten yessoensis samples) are selected from standard reference sample Patinopecten yessoensis per one kind, are respectively put into 3 shuttles
Middle sealing, the volume of shuttle is 300ml, is heated to 50-55 DEG C, the heat time is controlled within 5min, is incubated and is stood
15-25min；
C) collection air tube is inserted in shuttle, collects headspace gas 50ml, acquisition time 10-20s；
D the gas injection metal oxide semiconductor sensor array apparatus) collected is detected analysis, per a kind of scallop
Sample respectively gathers 30 groups of data；Data acquisition lag time is 600s, and acquisition time 180s, the acquisition interval time is 6s；Institute
State data acquisition lag time refer to metal oxide semiconductor sensor array apparatus open after reach stable operation when
Between；
E) collect and store gas related data, the data of collection are analyzed and processed using data handling system, have
Body is as follows：The data of collection are described as Patinopecten yessoensis characteristic matrix：
Wherein, a, b, c are the voltage parameters that metal oxide semiconductor sensor measures；FA, FB, FC correspond to Patinopecten yessoensis ginseng respectively
According at least three grades；N numerical value of each determinant in matrix, gather what is obtained by numbering 1 to n sensors respectively
Magnitude of voltage corresponding to Patinopecten yessoensis odor characteristics, and correspond；30 numerical value of each lap siding in matrix, represent collection
The 30 groups of Patinopecten yessoensis odor characteristics data obtained in time；
F) data in each file in Patinopecten yessoensis characteristic matrix are handled, picked using Rhein up to criterion
Except abnormal data, acquisition arithmetic mean of instantaneous value is calculated to the data of each file of matrix, obtains new odor characteristics matrix F1=
[a1, ave…aN, ave], F2=[b1, ave…bN, ave], F3=[c1, ave…cN, ave], the odor characteristics matrix is standard reference sample
The odor characteristics data of Patinopecten yessoensis, the quality standard as metal oxide semiconductor sensor array detection Patinopecten yessoensis
Matrix；
G the Patinopecten yessoensis of quality need to be detected by) choosing, and be put into shuttle and sealed, and the volume of shuttle is 300ml,
50-55 DEG C is heated to, the heat time is controlled within 5min, is incubated and is stood 15-25min, by collection air tube insertion insertion sample
In container, headspace gas 50ml, acquisition time 10-20s are collected, the gas injection metal-oxide semiconductor (MOS) sensing being collected into
Device array apparatus is detected analysis, and data acquisition lag time is 600s；Acquisition time is 180s, and the acquisition interval time is 6s,
30 groups of data are gathered, collects and stores gas related data, obtain data matrix：It is right
Data in matrix T in each file are handled, and criterion rejecting abnormalities data are reached using Rhein, to matrix T each file
Data calculate obtain arithmetic mean of instantaneous value, obtain test Patinopecten yessoensis odor characteristics matrix：Tave=[g1, ave…gN, ave]；
H the canonical matrix of the odor characteristics matrix for testing Patinopecten yessoensis and standard reference sample Patinopecten yessoensis) is calculated respectively
Euclidean distance, calculating formula are：
Than
Compared with D1、D2、D3Value, take minimum value, corresponding to the minimum value grade represent test Patinopecten yessoensis qualitative characteristics belonging to it is fresh
Grade；If minimum value is D1, then it represents that test the qualitative characteristics and F of Patinopecten yessoensisAMost like, the grade for testing Patinopecten yessoensis is
Fresh (A classes), by that analogy, minimum value D2, then it represents that test the qualitative characteristics and F of Patinopecten yessoensisBMost like, test shrimp is razed
The grade of scallop is time fresh (B classes)；Minimum value is D3, then it represents that test the qualitative characteristics and F of Patinopecten yessoensisCIt is most like, test
The grade of Patinopecten yessoensis is stale (C classes).
The n is equal to 12, represents that metal oxide semiconductor sensor uses 12 professional sensors, is respectively
| Sensor number | Sensor type | Sensitive gas species |
| 1 | MQ2 | Propane, smog etc. |
| 2 | MQ3B | Alcohol steam etc. |
| 3 | MQ-4 | Methane etc. |
| 4 | MQ-5 | Liquefied gas, methane etc. |
| 5 | MQ-6 | Propane etc. |
| 6 | MQ-7B | Carbon monoxide etc. |
| 7 | MQ-8 | Hydrogen etc. |
| 8 | MQ-9B | Fuel gas, smog etc. |
| 9 | MQ-135 | Ammonia, sulfide, benzene series, steam etc. |
| 10 | MQ-136 | Hydrogen sulfide etc. |
| 11 | MQ-137 | Ammonia etc. |
| 12 | MQ-138 | Toluene, acetone ethanol hydrogen etc. |
Above is the preferred embodiments of the present invention, those of ordinary skill in the art can also carry out various on this basis
Conversion improves, and on the premise of the total design of the present invention is not departed from, these conversion or improvement should all belong to application claims
Within the scope of protection.
Claims (2)
- A kind of 1. method using metal oxide semiconductor sensor array detection Patinopecten yessoensis quality, it is characterised in that bag Include following steps：A a collection of Patinopecten yessoensis in the process of circulation) is chosen, sensory evaluation is carried out through professional organoleptic examination personnel, according to fresh journey Degree is divided into 3 grades, using this batch of Patinopecten yessoensis as standard reference sample；B 5 Patinopecten yessoensis samples) are selected from each class hierarchy of standard reference sample Patinopecten yessoensis, are respectively put into 3 shuttles Middle sealing, the volume of shuttle is 300ml, is heated to 50-55 DEG C, the heat time is controlled within 5min, is incubated and is stood 15-25min；C) collection air tube is inserted in shuttle, collects headspace gas 50ml, acquisition time 10-20s；D the gas injection metal oxide semiconductor sensor array apparatus) collected is detected analysis, each per a kind of scallop sample Gather 30 groups of data；Data acquisition lag time is 600s, and acquisition time 180s, the acquisition interval time is 6s；The data Collection lag time refers to that metal oxide semiconductor sensor array apparatus reaches the time of stable operation after opening；E) collect and store gas related data, the data of collection are analyzed and processed using data handling system, specifically such as Under：The data of collection are described as Patinopecten yessoensis characteristic matrix：Wherein, a, b, c are the voltage parameters that metal oxide semiconductor sensor measures；FA, FB, FCCorrespond to respectively Patinopecten yessoensis with reference to Three Estate；N numerical value of each determinant in matrix, respectively by Magnitude of voltage corresponding to the Patinopecten yessoensis odor characteristics that numbering 1 obtains to the collection of n sensors, and correspond；It is each vertical in matrix 30 numerical value of column, represent the 30 groups of Patinopecten yessoensis odor characteristics data obtained in acquisition time；F) data in each file in Patinopecten yessoensis characteristic matrix are handled, criterion rejecting abnormalities are reached using Rhein Data, acquisition arithmetic mean of instantaneous value is calculated to the data of each file of matrix, obtains new odor characteristics matrix F1=[a1, ave … aN, ave], F2=[b1, ave … bN, ave], F3=[C1, ave … cN, ave], the odor characteristics matrix is standard reference sample The odor characteristics data of Patinopecten yessoensis, the quality standard square as metal oxide semiconductor sensor array detection Patinopecten yessoensis Battle array；G the Patinopecten yessoensis of quality need to be detected by) choosing, and be put into shuttle and sealed, and the volume of shuttle is 300ml, heating To 50-55 DEG C, the heat time is controlled within 5min, is incubated and is stood 15-25min, by collection air tube insertion insertion shuttle In, headspace gas 50ml, acquisition time 10-20s are collected, the gas injection metal oxide semiconductor sensor array being collected into Device is detected analysis, and data acquisition lag time is 600s；Acquisition time is 180s, and the acquisition interval time is 6s, collection 30 Group data, collect and store gas related data, obtain data matrix：Data in each file in matrix T are handled, criterion is reached using Rhein Rejecting abnormalities data, acquisition arithmetic mean of instantaneous value is calculated to the data of matrix T each file, obtains testing the smell of Patinopecten yessoensis Eigenmatrix：Tave=[g1, ave … gN, ave]；H the European of the canonical matrix of the odor characteristics matrix for testing Patinopecten yessoensis and standard reference sample Patinopecten yessoensis) is calculated respectively Distance, calculating formula are：Compare D1、D2、D3Value, take minimum value, corresponding to the minimum value grade represent test Patinopecten yessoensis qualitative characteristics belonging to Freshness degree.
- 2. the method for metal oxide semiconductor sensor array detection Patinopecten yessoensis quality as claimed in claim 1, it is special Sign is that the n is equal to 12.
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Cited By (1)
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| CN110440969A (en) * | 2019-08-08 | 2019-11-12 | 大连海洋大学 | A kind of Patinopecten yessoensis vigor fast appraisement method |
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Application publication date: 20180126 |