CN103760110A - Method for rapidly identifying meat with different animal sources - Google Patents
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- CN103760110A CN103760110A CN201310194617.7A CN201310194617A CN103760110A CN 103760110 A CN103760110 A CN 103760110A CN 201310194617 A CN201310194617 A CN 201310194617A CN 103760110 A CN103760110 A CN 103760110A
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Abstract
The present invention discloses a method for rapidly identifying meat with different animal sources. The method is characterized by comprising: (1) placing a meat sample at a room temperature, and adopting a near-infrared spectrometer diffuse reflection manner to sample a spectrum of the meat sample after the temperature is balanced; (2) selecting spectrum data of the optimal modeling wave band, and carrying out a pre-treatment on the selected spectrum data; (3) adopting a main component analysis method to extract the spectrum feature information; (4) adopting a discrimination analysis method to establish a qualitative recognition model; and (5) calculating the mahalanobis distance of the meat sample, and judging the classification of the meat sample according to the mahalanobis distance value. According to the present invention, the disadvantages of complex operation, long detection time, high chemical reagent consumption and high cost of the existing identification method are overcome; and the method has advantages of rapidness, no loss, accuracy, stability, simple identification process, and no requirement of professionals, and is easy to promote and apply in the food industry and the food law enforcement and supervision department.
Description
Technical field
The present invention relates to animal flesh source detection field, specifically, relate to the method for a kind of quick discriminating different animals source meat.
Background technology
Food-safety problem concern the people life and health, concern economic development, even concern the stable and nation's security of society.In recent years, meat and its products quality allows of no optimist, adulterated fraud, mix the spurious with the genuine, shoddy phenomenon occurs often, grievous injury consumer's economic interests and healthy, caused illegitimate competition.In February, 2013, " horseflesh scandal " produced in Europe, and false beef is sold for 16 countries, and " hang ox head and sell horseflesh " allows European have a lingering fear for the moment.Iceland exposes a food that is designated as minced beef cutlet and finds that through chemical examination the inside is not containing any meat.Reporter from the market of farm produce in Hangzhou, night street restaurant, roadside barbecue, sauced meat shop etc. randomly drawed 8 parts of beef products, through authoritative institution laboratory, detect, in 8 duplicate samples, have 5 parts not detect beef composition, and all contain pork.It is reported, it is disclosed secret in the industry that meat is faked, and as mixed sheep oil or butter in one's old mother's pork or Pork form diseased or dead pigs, has just become " mutton roll ", " beef roll " after freezing.Have with duck pretend to be mutton sell.Therefore, differentiate that meat kind, the adulterated fraud of identification meat are to ensure one of important measures of Meat Safety.
Traditional meat kind discrimination method is hedonic scoring system and biochemical method, and the result of subjective appreciation is subject to the interference of human factor and external environment very large, has influence on the objectivity of result; Although biochemical method can be identified meat kind exactly, loaded down with trivial details step and expensive expense are restricted its application.Therefore, meat kind is differentiated easy in the urgent need to setting up, quick, objective modern analytical technique.The present invention can be fast and effeciently differentiate the meat in different animals source, to solving the meat food-safety problem causing of faking, stablizes meat market significant.At present, Qualitative Analysis of Near Infrared Spectroscopy method has been widely used in the discriminating of the aspects such as tealeaves, tobacco, medicinal material, grease, honey, but the research of qualitative analysis discriminating different animals source meat has no relevant report.
Summary of the invention
The technical problem to be solved in the present invention is to provide the method for a kind of quick discriminating different animals source meat, realizes quick, harmless, the stable and real-time discriminating of different animals source meat.
The present invention adopts following technical scheme to realize goal of the invention:
A method for quick discriminating different animals source meat, is characterized in that, comprises the steps:
(1) meat sample is positioned under room temperature, after equalized temperature, utilizes near infrared spectrometer diffuse reflection mode to gather the spectrum of meat sample;
(2) spectroscopic data of selection best modeled wave band, carries out pre-service to the spectroscopic data of selecting;
(3) adopt principal component analysis (PCA) to extract spectral signature information;
(4) adopt discriminant analysis method to set up qualitative model of cognition;
(5) mahalanobis distance of calculating meat sample, judges the classification of meat sample according to the size of mahalanobis distance value.
As the further restriction to the technical program, the scanning wave-number range of described near infrared spectrometer is 10000-4000cm
-1, resolution 8 cm
-1, scanning times 128 times.
As the further restriction to the technical program, the best modeled wave band of described step (2) is 9881.46-4119.20 cm
-1.
As the further restriction to the technical program, the preprocess method of described step (2) adopts additional scatter correction techniques and Savitzky-Golay filtering method.
As the further restriction to the technical program, the principal component analysis (PCA) number of principal components of described step (3) is 10.
Compared with prior art, advantage of the present invention and good effect are: the present invention has overcome existing discrimination method complex operation, detection time is long, chemical reagent consumption is many, the shortcoming that cost is high, and the present invention differentiates different animals source meat, there is quick, harmless, accurate, stable advantage, discrimination process of the present invention is simple, does not need professional to differentiate, is easy to apply in food service industry and food law-enforcing department and supervisory institution.
Accompanying drawing explanation
Fig. 1 is the qualitative identification figure of the preferred embodiment of the present invention.
In figure, zero---pork, △---beef,---mutton.
Embodiment
Below in conjunction with accompanying drawing and preferred embodiment, the present invention is further described in detail.
1. the collection of sample spectral data
Using the Nicolet Antaris II Fourier Transform Near Infrared instrument of U.S. Therm company as sample devices, utilize integrating sphere diffuse reflection detection system to gather respectively the hind shank spectrum of pig, ox and sheep.Instrument parameter is as follows: scanning wave-number range 10000-4000 cm
-1, resolution 8 cm
-1, scanning times 128 times, take built-in background as reference.Each sample carries out 6 parallel experiments, gets the standard spectrum of its mean value as this sample.During spectra collection, the sample cell unthreaded hole place that sample is placed in to spectrometer is scanned, and scans the different parts of unthreaded hole aligning sample at every turn, scans altogether 6 positions.Gathered sample spectral data is divided into training set (258 samples) and forecast set (85 samples) two parts at random.
2. the foundation of qualitative model of cognition
By models for several times optimization is calculated, determine that modeling parameters is: preprocessing procedures is MSC+ S-G filtering; Modeling spectral range is 9881.46-4119.20 cm-1; Principal component analysis (PCA) is extracted spectral signature information, and number of principal components is 10; Adopt techniques of discriminant analysis to set up model.Determine the mahalanobis distance of each sample in training set, i.e. horizontal ordinate and the ordinate of spectroscopic data in qualitative model of cognition, which kind of this sample of model automatic decision belongs to.
3. the checking of model and evaluation
Forecast set sample spectra is analyzed by the quantization function in TQ Analyst 8 softwares, calculate the mahalanobis distance of each sample in forecast set, and the kind of judgement sample accordingly, the true kind of analysis result and sample is compared, the estimated performance of model is evaluated.
The qualitative model of cognition the result of table 1
| Data set | Sample size | Correct recognition rata (%) |
| Training set | 258 | 100 |
| Forecast set | 85 | 98.9 |
From table 1, model up to 100%, is 98.9% to the correct recognition rata of forecast set sample to the correct recognition rata of training set sample, illustrates that model has good estimated performance.
4. the identification of unknown sample is identified
Adopt step 1 method to gather the near infrared spectrum data of unknown sample, adopt step 3 " checking of model and evaluation " method to analyze unknown sample spectroscopic data, thereby obtain the differentiation result of unknown sample.
Certainly, above-mentioned explanation is not limitation of the present invention, and the present invention is also not limited only to above-mentioned giving an example, and variation, remodeling, interpolation or replacement that those skilled in the art make in essential scope of the present invention, also belong to protection scope of the present invention.
Claims (5)
1. a method of differentiating fast different animals source meat, is characterized in that, comprises the steps:
(1) meat sample is positioned under room temperature, after equalized temperature, utilizes near infrared spectrometer diffuse reflection mode to gather the spectrum of meat sample;
(2) spectroscopic data of selection best modeled wave band, carries out pre-service to the spectroscopic data of selecting;
(3) adopt principal component analysis (PCA) to extract spectral signature information;
(4) adopt discriminant analysis method to set up qualitative model of cognition;
(5) mahalanobis distance of calculating meat sample, judges the classification of meat sample according to the size of mahalanobis distance value.
2. the method for quick discriminating different animals according to claim 1 source meat, is characterized in that, the scanning wave-number range of described near infrared spectrometer is 10000 ~ 4000cm
-1, resolution 8 cm
-1, scanning times 128 times.
3. the method for quick discriminating different animals according to claim 1 source meat, is characterized in that, the best modeled wave band of described step (2) is 9881.46-4119.20 cm
-1.
4. the method for quick discriminating different animals according to claim 1 source meat, is characterized in that, the preprocess method of described step (2) adopts additional scatter correction techniques and Savitzky-Golay filtering method.
5. the method for quick discriminating different animals according to claim 1 source meat, is characterized in that, the principal component analysis (PCA) number of principal components of described step (3) is 10.
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| CN201310194617.7A CN103760110A (en) | 2013-05-23 | 2013-05-23 | Method for rapidly identifying meat with different animal sources |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105277506A (en) * | 2014-07-18 | 2016-01-27 | 重庆医科大学 | Near-infrared diffuse reflection spectrum rapid recognition method for human body colorectal cancer tissue |
| CN106198448A (en) * | 2016-07-17 | 2016-12-07 | 北京化工大学 | A kind of automatic high speed lossless sorting live body male and female Pupa bombycis or the technique of live body male and female Bombyx bombycis |
| CN109001146A (en) * | 2018-07-26 | 2018-12-14 | 江苏大学 | A kind of method for quick identification of chilled beef and the fresh beef of jellyization |
| CN109142269A (en) * | 2018-07-26 | 2019-01-04 | 江苏大学 | A kind of method for quick identification of chilled beef difference storage time |
| CN109632696A (en) * | 2018-12-13 | 2019-04-16 | 宜宾学院 | A kind of inexpensive near-infrared spectrum method identifying medicinal tablet source |
| CN111830218A (en) * | 2020-07-27 | 2020-10-27 | 江苏省家禽科学研究所 | Animal origin identification method for livestock and poultry meat |
| CN112215277A (en) * | 2020-10-09 | 2021-01-12 | 内蒙古农业大学 | Method and system for distinguishing beef and mutton species and feeding mode authenticity |
| CN113567359A (en) * | 2021-08-10 | 2021-10-29 | 江苏大学 | Identification method of raw cut meat and high meat imitation thereof based on component linear array gradient characteristics |
| CN113866121A (en) * | 2021-10-21 | 2021-12-31 | 江苏省家禽科学研究所 | Rapid identification method for dead chicken and application |
| CN114414551A (en) * | 2022-01-21 | 2022-04-29 | 中国海洋大学 | Fish meat identification method based on LIBS-RAMAN spectral technology |
-
2013
- 2013-05-23 CN CN201310194617.7A patent/CN103760110A/en active Pending
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| COZZOLINO D.,ET AL.: "Identification of animal meat muscles by visible and near infrared reflectance spectroscopy", 《LWT-FOOD SCIENCE AND TECHNOLOGY》 * |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105277506A (en) * | 2014-07-18 | 2016-01-27 | 重庆医科大学 | Near-infrared diffuse reflection spectrum rapid recognition method for human body colorectal cancer tissue |
| CN105277506B (en) * | 2014-07-18 | 2018-03-30 | 重庆医科大学 | A kind of near-infrared diffusing reflection spectrum method for quickly identifying of human colorectal cancer tissue |
| CN106198448A (en) * | 2016-07-17 | 2016-12-07 | 北京化工大学 | A kind of automatic high speed lossless sorting live body male and female Pupa bombycis or the technique of live body male and female Bombyx bombycis |
| CN109001146A (en) * | 2018-07-26 | 2018-12-14 | 江苏大学 | A kind of method for quick identification of chilled beef and the fresh beef of jellyization |
| CN109142269A (en) * | 2018-07-26 | 2019-01-04 | 江苏大学 | A kind of method for quick identification of chilled beef difference storage time |
| CN109632696A (en) * | 2018-12-13 | 2019-04-16 | 宜宾学院 | A kind of inexpensive near-infrared spectrum method identifying medicinal tablet source |
| CN111830218A (en) * | 2020-07-27 | 2020-10-27 | 江苏省家禽科学研究所 | Animal origin identification method for livestock and poultry meat |
| CN112215277A (en) * | 2020-10-09 | 2021-01-12 | 内蒙古农业大学 | Method and system for distinguishing beef and mutton species and feeding mode authenticity |
| CN113567359A (en) * | 2021-08-10 | 2021-10-29 | 江苏大学 | Identification method of raw cut meat and high meat imitation thereof based on component linear array gradient characteristics |
| CN113567359B (en) * | 2021-08-10 | 2022-05-20 | 江苏大学 | Raw cut meat and high meat-imitation identification method thereof based on component linear array gradient characteristics |
| CN113866121A (en) * | 2021-10-21 | 2021-12-31 | 江苏省家禽科学研究所 | Rapid identification method for dead chicken and application |
| CN114414551A (en) * | 2022-01-21 | 2022-04-29 | 中国海洋大学 | Fish meat identification method based on LIBS-RAMAN spectral technology |
| CN114414551B (en) * | 2022-01-21 | 2023-09-01 | 中国海洋大学 | Fish identification method based on LIBS-RAMAN spectrum technology |
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Application publication date: 20140430 |