Identification of Geographical Origin of Milk by Amino Acid Profile Coupled with Chemometric Analysis
This study aimed to establish a method to identify the geographical origin of milk based on its amino acid profile. High-performance liquid chromatography (HPLC) was carried out to measure amino acid contents. The significant differences of amino acid profiles of milk samples from four regions in Ch...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2022/2001253 |
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| _version_ | 1832550782066491392 |
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| author | Min Kang Quanhong Yue Shikuan Jia Jiarong Wang Mengdan Zheng Ran Suo |
| author_facet | Min Kang Quanhong Yue Shikuan Jia Jiarong Wang Mengdan Zheng Ran Suo |
| author_sort | Min Kang |
| collection | DOAJ |
| description | This study aimed to establish a method to identify the geographical origin of milk based on its amino acid profile. High-performance liquid chromatography (HPLC) was carried out to measure amino acid contents. The significant differences of amino acid profiles of milk samples from four regions in China (Hebei, Ningxia, Heilongjiang, and Inner Mongolia) were analyzed by ANOVA. Furthermore, the principal component analysis (PCA) demonstrated the feasibility of geographical origin identification using an amino acid profile, which the first 2 principal components account for 65.62% of total variance. The predictive model for the geographical origin of milk samples was established by orthogonal partial least squares-discriminant analysis (OPLS-DA) with a classification accuracy of 100% and the performance parameters of R2X 0.98, R2Y 0.82, and Q2 0.75. The excellent predictive ability of the model was validated using the validation data set. The analysis of variable importance in projection (VIP) showed that seven amino acids played a key role in the geographical origin identification. This method is a reliable strategy to identify the geographical origin of milk for protecting consumers against mislabeling fraud. |
| format | Article |
| id | doaj-art-120dda4a75b3464e8a6a03e6c303d7d2 |
| institution | Kabale University |
| issn | 1745-4557 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj-art-120dda4a75b3464e8a6a03e6c303d7d22025-02-03T06:05:51ZengWileyJournal of Food Quality1745-45572022-01-01202210.1155/2022/2001253Identification of Geographical Origin of Milk by Amino Acid Profile Coupled with Chemometric AnalysisMin Kang0Quanhong Yue1Shikuan Jia2Jiarong Wang3Mengdan Zheng4Ran Suo5College of Food Science and TechnologyCollege of Food Science and TechnologyCollege of Food Science and TechnologyCollege of Food Science and TechnologyCollege of Food Science and TechnologyCollege of Food Science and TechnologyThis study aimed to establish a method to identify the geographical origin of milk based on its amino acid profile. High-performance liquid chromatography (HPLC) was carried out to measure amino acid contents. The significant differences of amino acid profiles of milk samples from four regions in China (Hebei, Ningxia, Heilongjiang, and Inner Mongolia) were analyzed by ANOVA. Furthermore, the principal component analysis (PCA) demonstrated the feasibility of geographical origin identification using an amino acid profile, which the first 2 principal components account for 65.62% of total variance. The predictive model for the geographical origin of milk samples was established by orthogonal partial least squares-discriminant analysis (OPLS-DA) with a classification accuracy of 100% and the performance parameters of R2X 0.98, R2Y 0.82, and Q2 0.75. The excellent predictive ability of the model was validated using the validation data set. The analysis of variable importance in projection (VIP) showed that seven amino acids played a key role in the geographical origin identification. This method is a reliable strategy to identify the geographical origin of milk for protecting consumers against mislabeling fraud.http://dx.doi.org/10.1155/2022/2001253 |
| spellingShingle | Min Kang Quanhong Yue Shikuan Jia Jiarong Wang Mengdan Zheng Ran Suo Identification of Geographical Origin of Milk by Amino Acid Profile Coupled with Chemometric Analysis Journal of Food Quality |
| title | Identification of Geographical Origin of Milk by Amino Acid Profile Coupled with Chemometric Analysis |
| title_full | Identification of Geographical Origin of Milk by Amino Acid Profile Coupled with Chemometric Analysis |
| title_fullStr | Identification of Geographical Origin of Milk by Amino Acid Profile Coupled with Chemometric Analysis |
| title_full_unstemmed | Identification of Geographical Origin of Milk by Amino Acid Profile Coupled with Chemometric Analysis |
| title_short | Identification of Geographical Origin of Milk by Amino Acid Profile Coupled with Chemometric Analysis |
| title_sort | identification of geographical origin of milk by amino acid profile coupled with chemometric analysis |
| url | http://dx.doi.org/10.1155/2022/2001253 |
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