CN105973833A - Refrigerated pork storage day number detection system and method thereof - Google Patents
Refrigerated pork storage day number detection system and method thereof Download PDFInfo
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- CN105973833A CN105973833A CN201610278969.4A CN201610278969A CN105973833A CN 105973833 A CN105973833 A CN 105973833A CN 201610278969 A CN201610278969 A CN 201610278969A CN 105973833 A CN105973833 A CN 105973833A
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- sus domestica
- cold preservation
- carnis sus
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- abnormal smells
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- 238000001514 detection method Methods 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 title claims abstract description 13
- 235000015277 pork Nutrition 0.000 title abstract description 8
- 239000000523 sample Substances 0.000 claims abstract description 58
- 238000001228 spectrum Methods 0.000 claims abstract description 20
- 239000013307 optical fiber Substances 0.000 claims abstract description 16
- ZFRKQXVRDFCRJG-UHFFFAOYSA-N skatole Chemical compound C1=CC=C2C(C)=CNC2=C1 ZFRKQXVRDFCRJG-UHFFFAOYSA-N 0.000 claims abstract description 13
- 229910052736 halogen Inorganic materials 0.000 claims abstract description 11
- 150000002367 halogens Chemical class 0.000 claims abstract description 11
- WFKWXMTUELFFGS-UHFFFAOYSA-N tungsten Chemical compound [W] WFKWXMTUELFFGS-UHFFFAOYSA-N 0.000 claims abstract description 11
- 229910052721 tungsten Inorganic materials 0.000 claims abstract description 11
- 239000010937 tungsten Substances 0.000 claims abstract description 11
- 229940074386 skatole Drugs 0.000 claims abstract description 5
- 241000282894 Sus scrofa domesticus Species 0.000 claims description 59
- 238000004321 preservation Methods 0.000 claims description 55
- 230000002159 abnormal effect Effects 0.000 claims description 39
- 230000035943 smell Effects 0.000 claims description 39
- 239000000835 fiber Substances 0.000 claims description 24
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims description 13
- 239000000741 silica gel Substances 0.000 claims description 13
- 229910002027 silica gel Inorganic materials 0.000 claims description 13
- 238000004611 spectroscopical analysis Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 6
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 4
- 238000000513 principal component analysis Methods 0.000 claims description 4
- 230000001419 dependent effect Effects 0.000 claims description 2
- 239000000284 extract Substances 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 claims 2
- 238000004364 calculation method Methods 0.000 claims 1
- 238000000151 deposition Methods 0.000 claims 1
- 235000013372 meat Nutrition 0.000 abstract description 3
- 235000013622 meat product Nutrition 0.000 abstract 1
- 229920001296 polysiloxane Polymers 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 5
- 238000002329 infrared spectrum Methods 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 4
- 235000013305 food Nutrition 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 238000000862 absorption spectrum Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000796 flavoring agent Substances 0.000 description 1
- 235000019634 flavors Nutrition 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
- G01N33/12—Meat; Fish
Landscapes
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Chemical & Material Sciences (AREA)
- Immunology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Pathology (AREA)
- Food Science & Technology (AREA)
- Engineering & Computer Science (AREA)
- Medicinal Chemistry (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention relates to a refrigerated pork storage day number detection system and a method thereof. The system comprises a sample bench, a pork sample, an optical fiber spectrometer robe, a Y type optical fiber, an optical fiber spectrometer host, a halogen tungsten lamp light source, an industrial computer control platform, a rapid smell analyzer, a silicone tube, a drier and a rapid smell analyzer probe, and a regression model used for calculating the storage day number of refrigerated pork is arranged in the industrial computer control platform. The method comprises the following steps: preprocessed spectrum data undergoes major component analysis to obtain five variables closely related with the storage day number of the refrigerated pork, a regression model is established by using the five variables and characteristic smell w1 closely related with the skatole content, and the five variables and the w1 are input to the regression model of the storage day number of the refrigerated pork to calculate the storage day number of the refrigerated pork. The system and the method provide important theory and technical bases for guaranteeing the safety of meat and meat products, maintaining consumers' rights and normalizing the market order.
Description
Technical field
The present invention relates to the on-line detecting system of Carnis Sus domestica storage natural law, particularly to cold preservation Carnis Sus domestica based near infrared spectrum and abnormal smells from the patient
The on-line detecting system of storage natural law.
Background technology
In order to ensure the quality of Carnis Sus domestica, on market, the mode of commonly used cold preservation preserves Carnis Sus domestica to extend its shelf-life, but by
In the existence of a lot of tolerance to cold microorganisms, the safety of cold preservation Carnis Sus domestica can not get ensureing with the prolongation of storage natural law.
In order to ensure the food safety of Carnis Sus domestica, in recent years, domestic and international researchers have a lot of research to the detection of meat quality.Mesh
Before for measurement techniques for quality detection of meat evaluation typically from yellowish pink, tenderness, local flavor, be waterpower, succulence etc. in terms of weigh, detection method is many
Detection means is damaged by chemistry, physics and mouthfeel etc., speed is slow, operating condition is complicated for the existence detection of these detection meanss,
The shortcomings such as measurement result is inaccurate, especially single detection time are long, and automaticity is low, it is impossible to accomplish noncontact, lossless inspection
Survey.And the cold preservation pork detection technology of near-infrared spectrum technique and abnormal smells from the patient by it is efficient, simple and direct, noncontact, do not damage tested
The advantages such as sample, the most gradually start to be furtherd investigate by numerous experts and scholars, but there is presently no based near infrared spectrum and gas
The cold preservation Carnis Sus domestica storage natural law detection method of taste.
Summary of the invention
The applicant, for the disadvantages mentioned above of prior art, studies and improves, it is provided that a kind of cold preservation Carnis Sus domestica storage natural law detection
System and method, uses following scheme:
A kind of cold preservation Carnis Sus domestica storage natural law detecting system, including sample stage, Carnis Sus domestica sample, fiber spectrum instrument probe, y-type optical fiber,
Fiber spectrometer main frame, halogen tungsten lamp light source, Industrial Computer Control platform, quick abnormal smells from the patient analyser, silica gel tube, exsiccator,
Quickly abnormal smells from the patient analyser probe；
Halogen tungsten lamp light source and fiber spectrum instrument probe are connected with spectrometer unit by y-type optical fiber, and spectrometer unit is connect by USB
Mouth and Industrial Computer Control platform realize communication connection, and quick abnormal smells from the patient analyser, exsiccator and quick abnormal smells from the patient analyser are popped one's head in and depended on
Secondary connected by silica gel tube, quick abnormal smells from the patient analyser realizes communication connection by RS-232 interface with Industrial Computer Control platform.
A kind of detection method utilizing cold preservation Carnis Sus domestica described in claim 1 to store natural law detecting system, comprises the following steps:
The first step: being placed on the most in turn on sample stage by the cold preservation Carnis Sus domestica sample of a large amount of known storage natural law, halogen tungsten lamp light source is sent out
The light gone out enters fiber spectrum instrument probe by y-type optical fiber and is irradiated on cold preservation Carnis Sus domestica sample, occurs at cold preservation Carnis Sus domestica sample surfaces
Diffuse-reflectance, the entrance fiber spectrum instrument probe that diffuses is coupled into y-type optical fiber and transmits to fiber spectrometer main frame, fiber spectrum
The spectroscopic data that instrument main frame obtains passes to Industrial Computer Control platform by USB interface；
Second step: the gas that cold preservation Carnis Sus domestica sample produces is entered quick abnormal smells from the patient analyser probe and transmitted to exsiccator by silica gel tube,
Transmitted to quick abnormal smells from the patient analyser, the abnormal smells from the patient figure that quick abnormal smells from the patient analyser obtains by silica gel tube through the dried gas of exsiccator
Modal data transmits to Industrial Computer Control platform；
3rd step: the spectroscopic data of the cold preservation Carnis Sus domestica of known storage natural law is carried out first derivative (FD), S-G smothing filtering pre-
Process and principal component analysis, obtain five store with cold preservation Carnis Sus domestica the relevant spectroscopic data variable pc1 of natural law, pc2, pc3, pc4,
Pc5, extracts characteristic odor w1 relevant to skatole level in abnormal smells from the patient collection of illustrative plates, uses BP-neural network to store with cold preservation Carnis Sus domestica
Deposit natural law be dependent variable, pc1-pc5 and w1 be the regression model of independent variable, and by this regression model by the way of programming
It is preset in Industrial Computer Control platform；
4th step: the cold preservation Carnis Sus domestica sample of storage natural law to be measured is placed on sample stage, repeats the above-mentioned first step, second step,
Can be calculated really by pc1, pc2, pc3, pc4, pc5, w1 of the cold preservation Carnis Sus domestica of storage natural law to be measured according to the regression model prestored
Its storage natural law fixed.
The method have technical effect that:
The present invention sets up corresponding cold preservation Carnis Sus domestica storage natural law detecting system and method, obtains the near of cold preservation Carnis Sus domestica by on-line checking
Infrared spectrum, abnormal smells from the patient collection of illustrative plates, transmitted to Industrial Computer Control platform by data, finally by Industrial Computer Control platform
Detection algorithm obtain the storage natural law of cold preservation Carnis Sus domestica.User can use this technology that the cold preservation Carnis Sus domestica bought is carried out Non-Destructive Testing,
Thus realize third party's blind check, it is ensured that food safety.
Accompanying drawing explanation
Fig. 1 is the hardware system schematic diagram of cold preservation Carnis Sus domestica storage natural law detecting system.
Fig. 2 is preprocessed cold preservation Carnis Sus domestica near-infrared absorption spectrum afterwards.
Fig. 3 is the abnormal smells from the patient collection of illustrative plates of cold preservation Carnis Sus domestica, wherein w1For the peak value that scatol (3-methylindole) is corresponding.
Fig. 4 is to store natural law predictive value by regression model calculated cold preservation Carnis Sus domestica.
In figure: 1, sample stage；2, cold preservation Carnis Sus domestica sample；3, fiber spectrum instrument probe；4, y-type optical fiber；5, fiber spectrum
Instrument main frame；6, halogen tungsten lamp light source；7, Industrial Computer Control platform；8, quick abnormal smells from the patient analyser；9, silica gel tube；10、
Exsiccator；11, quick abnormal smells from the patient analyser probe.
Detailed description of the invention
Below in conjunction with the accompanying drawings the detailed description of the invention of the present invention is described further.
As it is shown in figure 1, the present embodiment cold preservation Carnis Sus domestica storage natural law detecting system, including sample stage 1, cold preservation Carnis Sus domestica sample 2,
Fiber spectrum instrument probe 3, y-type optical fiber 4, fiber spectrometer main frame 5, halogen tungsten lamp light source 6, Industrial Computer Control platform 7,
Quickly abnormal smells from the patient analyser 8, silica gel tube 9, exsiccator 10, quick abnormal smells from the patient analyser probe 11；
Halogen tungsten lamp light source 6 and fiber spectrum instrument probe 3 are connected with spectrometer unit 5 by y-type optical fiber 4, spectrometer unit 5
Communication connection is realized, quick abnormal smells from the patient analyser 8, exsiccator 10 and quickly by USB interface and Industrial Computer Control platform 7
Abnormal smells from the patient analyser probe 11 passes sequentially through silica gel tube 9 and is connected, and quick abnormal smells from the patient analyser 8 is calculated with industry by RS-232 interface
Machine controls platform 7 and realizes communication connection.
The detection method of the cold preservation Carnis Sus domestica storage natural law detecting system of the present embodiment, comprises the following steps:
As it is shown in figure 1, cold preservation Carnis Sus domestica sample 2 is placed on sample stage 1, the light that halogen tungsten lamp light source 6 sends passes through y-type optical fiber
4 enter fiber spectrum instrument probe 3 is irradiated on cold preservation Carnis Sus domestica sample 2, and diffuse-reflectance occurs on cold preservation Carnis Sus domestica sample 2 surface, unrestrained
Reflection light entrance fiber spectrum instrument probe 3 is coupled into y-type optical fiber 4 and transmits to fiber spectrometer main frame 5, fiber spectrometer master
The spectroscopic data that machine 5 obtains passes to Industrial Computer Control platform 7 by USB interface；
The gas that cold preservation Carnis Sus domestica sample 2 produces is entered quick abnormal smells from the patient analyser probe 11 and is transmitted to exsiccator 10 by silica gel tube 9,
Being transmitted to quick abnormal smells from the patient analyser 8 by silica gel tube 11 through the dried gas of exsiccator 10, quick abnormal smells from the patient analyser 8 obtains
The abnormal smells from the patient spectrum data arrived transmits to Industrial Computer Control platform 7；
To pretreated spectroscopic data principal component analysis, obtain 5 and store the closely-related spectroscopic data of natural law with cold preservation Carnis Sus domestica
Variable pc1, pc2, pc3, pc4, pc5, utilize this five spectroscopic data variable pc1-pc5 and phase close with skatole level
The characteristic odor w1 closed, by the regression model of BP-neural network cold preservation Carnis Sus domestica storage natural law with these six variablees；According to
This regression model can be by pc1、pc2、pc3、pc4、pc5、w1Calculate the storage natural law determining cold preservation Carnis Sus domestica, determine that coefficient is 0.95.
Concretely comprise the following steps:
1, obtain 80 pieces of cold preservation Carnis Sus domestica samples just listed that dimensions is identical, be sub-packed in 8 crispers, the most box-packed
10 pieces of samples, number it unified being housed in cold room (about 4 DEG C) respectively, according to predetermined experimental period, use fiber spectrum
Instrument gathers the spectral information (such as Fig. 2) of sample, gathers the odiferous information (such as Fig. 3) of sample with quick abnormal smells from the patient analyser, according to
The method of national Specification detects its quality.Experimental period in the present embodiment is 8 days, and experiment starts, and takes out at interval of 24h
One group of sample carries out the information gathering of near infrared spectrum, abnormal smells from the patient, until all samples detection is complete.
2, the spectrum to above-mentioned all samples carries out first derivative (FD) and S-G smothing filtering pretreatment and principal component analysis,
To pc1, pc2, pc3, pc4, pc5；The characteristic odor w relevant to skatole level is extracted from abnormal smells from the patient collection of illustrative plates1.Pass through BP-
Neural network cold preservation Carnis Sus domestica storage natural law and pc1、pc2、pc3、pc4、pc5、w1Regression equation.Preprocessing Algorithm and
The regression equation of prediction cold preservation Carnis Sus domestica storage natural law is preset in the program of Industrial Computer Control platform 7 by the way of programming
In.
3, for the cold preservation Carnis Sus domestica sample of the unknown storage natural law, it is automatically performed closely by Industrial Computer Control platform 7 inspection software
Infrared spectrum and the collection of abnormal smells from the patient collection of illustrative plates, pretreatment, the prediction of cold preservation Carnis Sus domestica storage natural law, and automatically save the data that detection obtains
The evaluation result obtained with prediction, it is achieved Fast nondestructive evaluation goes out cold preservation Carnis Sus domestica storage natural law.Use 20 known storage natural law
Cold preservation Carnis Sus domestica sample carrys out evaluation and foreca result, and result as shown in Figure 4, determines that coefficient is 0.95.
First derivative (FD), S-G smothing filtering pretreatment and the BP-neutral net related in the present invention, collection spectral information,
Odiferous information, regression model are prior art, and its detailed process is not described further.
Embodiment provided above is the better embodiment of the present invention, is only used for the convenient explanation present invention, not appoints the present invention
What pro forma restriction, has usually intellectual, if without departing from the carried technical characteristic of the present invention in any art
In the range of, utilize the Equivalent embodiments that the done local of disclosed technology contents is changed or modified, and without departing from this
Bright technical characteristic content, all still falls within the range of the technology of the present invention feature.
Claims (2)
1. cold preservation Carnis Sus domestica storage natural law detecting system, it is characterised in that: include sample stage (1), Carnis Sus domestica sample (2),
Fiber spectrum instrument probe (3), y-type optical fiber (4), fiber spectrometer main frame (5), halogen tungsten lamp light source (6), industry meter
Calculation machine controls platform (7), quick abnormal smells from the patient analyser (8), silica gel tube (9), exsiccator (10), quick abnormal smells from the patient analyser
Probe (11)；
Halogen tungsten lamp light source (6) and fiber spectrum instrument probe (3) are connected with spectrometer unit (5) by y-type optical fiber (4),
Spectrometer unit (5) realizes communication connection, quick abnormal smells from the patient analyser by USB interface with Industrial Computer Control platform (7)
(8), exsiccator (10) and quickly abnormal smells from the patient analyser probe (11) pass sequentially through silica gel tube (9) and be connected, quick abnormal smells from the patient divides
Analyzer (8) realizes communication connection by RS-232 interface with Industrial Computer Control platform (7).
2. one kind utilizes the detection method of cold preservation Carnis Sus domestica storage natural law detecting system described in claim 1, it is characterised in that include
Following steps:
The first step: cold preservation Carnis Sus domestica sample (2) of a large amount of known storage natural law is placed on sample stage (1) the most in turn, halogen
The light that tungsten light source (6) sends enters fiber spectrum instrument probe (3) by y-type optical fiber (4) and is irradiated to cold preservation Carnis Sus domestica sample (2)
On, diffuse-reflectance is there is on cold preservation Carnis Sus domestica sample (2) surface, entrance fiber spectrum instrument probe (3) that diffuses is coupled into Y
Type optical fiber (4) transmits to fiber spectrometer main frame (5), and the spectroscopic data that fiber spectrometer main frame (5) obtains is connect by USB
Oral instructions are to Industrial Computer Control platform (7)；
Second step: the gas that cold preservation Carnis Sus domestica sample (2) produces enters quick abnormal smells from the patient analyser probe (11) by silica gel tube (9)
Transmit to exsiccator (10), divided to quick abnormal smells from the patient by silica gel tube (11) transmission through exsiccator (10) dried gas
Analyzer (8), the abnormal smells from the patient spectrum data transmission that quick abnormal smells from the patient analyser (8) obtains to Industrial Computer Control platform (7)；
3rd step: the spectroscopic data of the cold preservation Carnis Sus domestica of known storage natural law is carried out first derivative (FD), S-G smothing filtering pre-
Process and principal component analysis, obtain five spectroscopic data variable pcs relevant to cold preservation Carnis Sus domestica storage natural law1、pc2、pc3、pc4、
pc5, extract characteristic odor w relevant to skatole level in abnormal smells from the patient collection of illustrative plates1, use BP-neural network to store with cold preservation Carnis Sus domestica
Depositing natural law is dependent variable, pc1-pc5And w1For the regression model of independent variable, and by this regression model by the way of programming pre-
It is located in Industrial Computer Control platform (7)；
4th step: cold preservation Carnis Sus domestica sample (2) of storage natural law to be measured is placed on sample stage (1), repeat the above-mentioned first step,
Second step, can be by the pc of the cold preservation Carnis Sus domestica of storage natural law to be measured according to the regression model prestored1、pc2、pc3、pc4、pc5、w1
Calculating determines that it stores natural law.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610278969.4A CN105973833A (en) | 2016-04-28 | 2016-04-28 | Refrigerated pork storage day number detection system and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610278969.4A CN105973833A (en) | 2016-04-28 | 2016-04-28 | Refrigerated pork storage day number detection system and method thereof |
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| CN105973833A true CN105973833A (en) | 2016-09-28 |
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| CN201610278969.4A Pending CN105973833A (en) | 2016-04-28 | 2016-04-28 | Refrigerated pork storage day number detection system and method thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113791050A (en) * | 2021-08-31 | 2021-12-14 | 广东弓叶科技有限公司 | Material analysis method and system based on spectral analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113791050A (en) * | 2021-08-31 | 2021-12-14 | 广东弓叶科技有限公司 | Material analysis method and system based on spectral analysis |
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