CN109613190A - A kind of meat product type and quartile length method based on amino acid composition - Google Patents
A kind of meat product type and quartile length method based on amino acid composition Download PDFInfo
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- CN109613190A CN109613190A CN201811479191.9A CN201811479191A CN109613190A CN 109613190 A CN109613190 A CN 109613190A CN 201811479191 A CN201811479191 A CN 201811479191A CN 109613190 A CN109613190 A CN 109613190A
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- 150000001413 amino acids Chemical class 0.000 title claims abstract description 70
- 235000013622 meat product Nutrition 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title claims abstract description 27
- 239000000203 mixture Substances 0.000 title claims abstract description 20
- 241001465754 Metazoa Species 0.000 claims abstract description 8
- 238000011161 development Methods 0.000 claims abstract description 5
- 238000001228 spectrum Methods 0.000 claims abstract description 4
- 235000001014 amino acid Nutrition 0.000 claims description 64
- 238000010586 diagram Methods 0.000 claims description 9
- 238000000513 principal component analysis Methods 0.000 claims description 4
- 125000003275 alpha amino acid group Chemical group 0.000 claims description 3
- 238000001819 mass spectrum Methods 0.000 claims description 2
- 125000000539 amino acid group Chemical group 0.000 claims 2
- 238000005251 capillar electrophoresis Methods 0.000 claims 1
- 239000007791 liquid phase Substances 0.000 claims 1
- 239000012071 phase Substances 0.000 claims 1
- 235000013372 meat Nutrition 0.000 abstract description 15
- 241000894007 species Species 0.000 abstract description 3
- 239000000523 sample Substances 0.000 description 27
- 210000001519 tissue Anatomy 0.000 description 12
- 210000003205 muscle Anatomy 0.000 description 11
- 235000015277 pork Nutrition 0.000 description 4
- 210000002097 psoas muscle Anatomy 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 2
- 238000012850 discrimination method Methods 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 102000004169 proteins and genes Human genes 0.000 description 2
- 108090000623 proteins and genes Proteins 0.000 description 2
- 241000024188 Andala Species 0.000 description 1
- 235000007926 Craterellus fallax Nutrition 0.000 description 1
- 240000007175 Datura inoxia Species 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 239000002253 acid Substances 0.000 description 1
- 229910021529 ammonia Inorganic materials 0.000 description 1
- 239000012472 biological sample Substances 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 235000013601 eggs Nutrition 0.000 description 1
- 238000001962 electrophoresis Methods 0.000 description 1
- 210000004709 eyebrow Anatomy 0.000 description 1
- 210000000720 eyelash Anatomy 0.000 description 1
- 235000015203 fruit juice Nutrition 0.000 description 1
- 210000004209 hair Anatomy 0.000 description 1
- 230000001900 immune effect Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000007403 mPCR Methods 0.000 description 1
- 239000002075 main ingredient Substances 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 235000013336 milk Nutrition 0.000 description 1
- 239000008267 milk Substances 0.000 description 1
- 210000004080 milk Anatomy 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 125000002924 primary amino group Chemical group [H]N([H])* 0.000 description 1
- 235000018102 proteins Nutrition 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000003753 real-time PCR Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000007894 restriction fragment length polymorphism technique Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 210000001835 viscera Anatomy 0.000 description 1
Classifications
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- 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
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- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Biological Materials (AREA)
Abstract
The present invention provides a kind of meat product types and quartile length method based on amino acid composition.The present invention have collected different genera animal, different development time, different tissues, different qualities meat sample, have detected the amino acid composition in sample, meat amino acid composition spectrum library constructed based on amino acid natural abundance and ratio.To the amino acid composition measuring of meat sample to be measured, in the master database of foundation, clustering is re-started, according to clustering group result, to meat product type and quartile length.The present invention propose method can it is simple, quick, reliable, quantitatively identify meat product type and quality, can be used for the Identification of Species and quality grading of various meat products in the market.
Description
Technical field
The invention belongs to animal husbandry and field of food animal flesh product category and quality fast quantification authentication technique field, tools
Body is related to a kind of meat product type and quartile length method based on amino acid composition.
Background technique
Meat products are the primary protein sources in resident's diet, and as the development of society and people are raw to high-quality
Pursuit living, meat products demand increasingly increase, and type also more horn of plenty more pays close attention to measurement techniques for quality detection of meat and edible safety.
Since economic interests drive, meat products are adulterated to happen occasionally, including adulterate, internal organ doping, served as with low price meat or
It is doped in high price meat etc., develops meat products matter and Identification of Species method and technique means, ensures that people's food safety is compeled
The eyebrows and eyelashes.Currently, meat products Identification of Species, Protocols in Molecular Biology is mainly utilized, including Standard PCR, multiplex PCR, glimmering in real time
The meat kind of Fluorescent Quantitative PCR, restriction fragment length polymorphism PCR etc., this method identification are limited, and range is smaller, and use
It is limited by experimental arrangement, it can be qualitative, it is difficult to quantitative problem, other methods such as immunological method, near infrared technology etc.
There are problems；It is main at present routinely to be referred to using reflection or transmitted spectrum technology, protein content etc. to meat product quality grading
A variety of methods such as mark, machine vision, sensor array construct model alone or in combination to complete.
The main ingredient of meat is albumen.Variety classes, the even same tissue of different tissues different growth and development periods
Protein expression profiles are different, and the amino acid composition of albumen has determined the main feature of meat kind and its quality with content.Amino acid
It is the basic building unit of albumen, therefore organizes interior free amino acid composition that also there is corresponding specific characteristic.It is swum based on tissue
Isolated amino acid composition develop a kind of reliable and quick method carry out Quantitative measurement meat product type and quality be it is feasible with it is necessary.
Summary of the invention
The present invention is directed to overcome the deficiencies of the prior art and provide a kind of meat product type mirror based on amino acid compositional model
Determine method.
In order to achieve the above object, technical solution provided by the invention are as follows:
The meat product type and quartile length method based on amino acid composition includes the following steps:
(1) acquire different genera animal, different development time, different tissues, different qualities meat product master sample；
(2) calculate step (1) acquired meat product master sample and generate tissue free amino acid form standard diagram；
(3) meat product sample to be identified is acquired；
(4) it calculates the tissue free aminoacid content of step (3) acquired meat product sample and generates tissue free amino acid figure
Spectrum；
(5) the tissue free amino acid standard diagram that the tissue free amino acid map obtained step (4) and step (2) obtain
It is compared, identifies the type and its doping situation of meat product sample.
It wherein, is using amino-acid analyzer, high phase liquid chromatograph, gas chromatograph, mass spectrum or capillary in step (2)
One of the methods of electrophoresis tube instrument or the combination of a variety of methods are measured tissue amino acid composition.
The composition standard diagram of tissue amino acid described in step (2) is using principal component analysis and hierarchical cluster respectively as thin
The function of born of the same parents amino acid standard abundance and master sample；Cell amino acid map described in step (4) using principal component analysis and
Function of the hierarchical cluster respectively as cell Amino acid abundance and sample.
Below with reference to principle, the invention will be further described:
Qualification process of the invention includes the following aspects:
1, meat product sample is provided；
2, amino acid natural abundance in the sample is collected, the measurement result of more than 20 kinds of amino acid is only retained；
3, it is formed according to the amino acid of sample and generates Amino acid abundance map, wherein each column respectively represents the opposite of each amino acid
Content, every row represent each biological sample；
4, the amino acid map of different samples is compared, opposite amino acid map is formed, according to the distinctive ammonia of different samples
Base acid compositional model and specific amino acid-enrichment identify sample.
The present invention has collected the meat amino acid natural abundance of different animals kind, according to sampled amino acid compositional model and
Compare different genera meat aminogram, meat product type is identified.
Compared with prior art, the invention has the benefit that
Discrimination method proposed by the present invention can realize the quick and precisely identification of many animals meat product type and quality, and propose
Opposite Amino acid abundance map can be used as whether effectively assessment sample true, accurate index.The present invention is that one kind does not need
The discrimination method of novel meat type and quality that design of primers and immunology etc. are limited by experimental arrangement.
In addition, the quick identification for identifying including but not limited to meat kind and quality using amino acid composition, this hair
Bright mentality of designing can also be used in the kind and Variety identification of the raw materials such as milk, egg, fruit juice, can be used for other and plants containing albumen
Object, animal and the quick identification research field of microorganism.
Detailed description of the invention
Fig. 1 is pig dorsal muscles, psoas muscle and the bicipital muscle of arm Amino acid abundance map in growth course；
Fig. 2 is rat dorsal muscles, psoas muscle and the bicipital muscle of arm Amino acid abundance map in growth course；
Fig. 3 is the opposite Amino acid abundance map of pig and rat.
Specific embodiment
Following instance is not limited to application range of the invention for illustrating the present invention.
It is process for the muscle that examination meat product sample is long white χ great Bai binary pig and rat, muscle samples each 17.Often
A observation sample includes that the amino acid of dorsal muscles, greater psoas muscle and the bicipital muscle of arm forms, and forms Amino acid abundance map (see Fig. 1 and figure
2).It is clear that pig muscle amino acid composition has obvious difference with rat muscle amino acid.By comparing different sample amino
Sour abundance map identifies different meat product types.Compare in discrimination process, randomly selects 9 samples as test sample.Respectively
Different aminoacids abundance in test sample is compared, opposite Amino acid abundance map (see figure 3) is formed.According to not same
This distinctive amino acid compositional model and specific amino acid-enrichment identify sample.
By Fig. 1 and Fig. 2 it is found that different samples have distinctive amino acid compositional model and specific amino acid-enrichment.?
In Fig. 1 pig sample, Car, Tau, Gln, Ala and Gly enrichment；Tau, Asn, Gln and Ala are enriched in Fig. 2 rat sample.According to
Comparative sample Amino acid abundance map is formed opposite Amino acid abundance map (Fig. 3), in Fig. 3 pig and rat amino acid form and
It is enriched with very big difference, pig and rat sample can be identified according to the abundance of amino acid composition and specific amino acid in Fig. 3.
So far, shown that the amino acid standard diagram of pork and rat muscle, sample to be tested can then be compared with standard diagram, such as
It is pork that fruit matches then with the cell amino acid standard diagram of pork, if the cell amino acid standard diagram with rat matches
For big rat meat.
Specifically, meat product sample to be identified is proceeded as follows:
(1) meat product sample is acquired；
(2) the tissue amino acid for calculating step (1) acquired meat product sample forms and generates amino acid map；
(3) the Amino acid abundance map and previously obtained pork and big rat meat amino acid standard diagram obtained step (4) into
Row compares, and identifies the type of meat product sample.
In summary test result it is found that this technology to the identifications of different meat product samples very accurately and quickly, and also
It can be referred to for the amino acid nutrient in meat product.
Claims (3)
1. a kind of meat product type and quartile length method based on amino acid composition, which is characterized in that the method includes such as
Lower step:
(1) acquire different genera animal, different development time, different tissues, different qualities meat product master sample；
(2) calculate step (1) acquired meat product master sample and generate tissue free amino acid form standard diagram；
(3) meat products sample to be identified is acquired；
(4) it calculates the tissue free aminoacid content of step (3) acquired meat product sample and generates tissue free amino acid group
At map；
(5) the tissue free amino acid standard that the tissue free amino acid composition map obtained step (4) and step (2) obtain
Composition map is compared, and identifies the type of meat product sample.
2. the method as described in claim 1, which is characterized in that be using amino-acid analyzer, high phase liquid phase color in step (2)
One of the methods of spectrometer, gas chromatograph, mass spectrum or capillary electrophoresis or the combination of a variety of methods are to tissue amino acid group
At being measured.
3. the method as described in claim 1, which is characterized in that the composition figure of tissue free amino acid standard described in step (2)
Spectrum is using principal component analysis and hierarchical cluster respectively as the function for organizing free amino acid standard abundance and master sample；Step
(4) tissue free amino acid map described in is using principal component analysis and hierarchical cluster respectively as tissue free amino acid abundance
With the function of sample.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3868305A (en) * | 1972-11-17 | 1975-02-25 | Mitsubishi Petrochemical Co | Process for producing ethanol-assimilating yeast |
| CN104569324A (en) * | 2014-12-19 | 2015-04-29 | 广东省食品工业研究所 | Method for identifying white cubilose by combining with characteristic indexes |
| US20150305389A1 (en) * | 2014-04-28 | 2015-10-29 | International Dehydrated Foods, Inc. | Small Particle Sized Protein Compositions And Methods Of Making |
| CN107102021A (en) * | 2017-05-03 | 2017-08-29 | 山西广誉远国药有限公司 | The construction method and purposes of a kind of hippocampus 1H NMR finger-prints |
| CN107255693A (en) * | 2017-07-12 | 2017-10-17 | 大连海事大学 | Aquatic products place of production source tracing method based on amino acid carbon stable isotope |
| CN108088968A (en) * | 2017-11-23 | 2018-05-29 | 广东省食品工业研究所有限公司 | A kind of discrimination method of schefflera honey adulteration |
-
2018
- 2018-12-05 CN CN201811479191.9A patent/CN109613190A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3868305A (en) * | 1972-11-17 | 1975-02-25 | Mitsubishi Petrochemical Co | Process for producing ethanol-assimilating yeast |
| US20150305389A1 (en) * | 2014-04-28 | 2015-10-29 | International Dehydrated Foods, Inc. | Small Particle Sized Protein Compositions And Methods Of Making |
| CN104569324A (en) * | 2014-12-19 | 2015-04-29 | 广东省食品工业研究所 | Method for identifying white cubilose by combining with characteristic indexes |
| CN107102021A (en) * | 2017-05-03 | 2017-08-29 | 山西广誉远国药有限公司 | The construction method and purposes of a kind of hippocampus 1H NMR finger-prints |
| CN107255693A (en) * | 2017-07-12 | 2017-10-17 | 大连海事大学 | Aquatic products place of production source tracing method based on amino acid carbon stable isotope |
| CN108088968A (en) * | 2017-11-23 | 2018-05-29 | 广东省食品工业研究所有限公司 | A kind of discrimination method of schefflera honey adulteration |
Non-Patent Citations (7)
| Title |
|---|
| M. BUCKLEY: "Species identification of archaeological marine mammals using collagen fingerprinting", 《JOURNAL OF ARCHAEOLOGICAL SCIENCE》 * |
| MAGDALENA MONTOWSKA: "Label-free quantification of meat proteins for evaluation of species composition of processed meat products", 《FOOD CHEMISTRY》 * |
| TUNE WULFF等: "Authentication of Fish Products by Large-Scale Comparison of Tandem Mass Spectra", 《JOURNAL OF PROTEOME RESEARCH》 * |
| 庄俊钰等: "基于特征氨基酸指纹图谱的白燕窝识别掺假模型建立与验证", 《食品研究与开发》 * |
| 郝变等: "不同品种、产地瓜蒌皮中游离氨基酸类成分指纹图谱研究", 《中医药学报》 * |
| 陈 林等: "清香型乌龙茶品质形成中游离氨基酸指纹图谱变化规律", 《农业工程学报》 * |
| 陈秋虹 等: "巴马香猪肉中游离氨基酸的指纹图谱", 《江苏农业科学》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
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