Pattern recognition analysis on nutritional profile and chemical composition of edible birds nest for its origin and authentication
Authenticity of food is of great importance to ensure food safety and quality, and to protect consumer rights. A rapid and accurate method for authentication of edible bird’s nest (EBN) was proposed by using nutritional profile and chemical composition, and pattern recognition analysis. The authenti...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/75213/1/Pattern%20recognition%20analysis%20on%20nutritional%20profile%20and%20chemical%20composition%20of%20edible%20birds%20nest%20for%20its%20origin%20and%20authentication.pdf |
| _version_ | 1796979815593541632 |
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| author | Meei, Chien Quek Nyuk, Ling Chin Yusof, Yus Aniza Chung, Lim Law Sheau, Wei Tan |
| author_facet | Meei, Chien Quek Nyuk, Ling Chin Yusof, Yus Aniza Chung, Lim Law Sheau, Wei Tan |
| author_sort | Meei, Chien Quek |
| collection | UPM |
| description | Authenticity of food is of great importance to ensure food safety and quality, and to protect consumer rights. A rapid and accurate method for authentication of edible bird’s nest (EBN) was proposed by using nutritional profile and chemical composition, and pattern recognition analysis. The authentication of EBN includes identification and classification of EBN by production origin (houses or caves), species origin (Aerodramus fuciphagus or Aerodramus maximus) and geographical origin (Peninsular Malaysia or East Malaysia) based on their active compositional content. Three pattern recognition methods, principal component analysis (PCA), hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA), were employed to develop classification models for authentication of EBN origins. Compared to PCA and HCA, LDA is more accurate and efficient in distinguishing EBN by different production, species, and geographical origins, having classification ability of 100% and prediction ability of 92% as validated by cross-validation method. The key chemical markers for production origin differentiation are total phenolic content, zinc, valine, and calcium, while for species origin discrimination are sialic acid, serine, phenylalanine and valine, and for geographical origin differentiation are arsenic and mercury. The findings suggest that nutritional and chemical profiles combined with pattern recognition analysis are promising strategy for rapid authentication of EBN and its products. |
| first_indexed | 2024-03-06T10:14:27Z |
| format | Article |
| id | upm.eprints-75213 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:14:27Z |
| publishDate | 2018 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | upm.eprints-752132019-11-28T05:35:39Z http://psasir.upm.edu.my/id/eprint/75213/ Pattern recognition analysis on nutritional profile and chemical composition of edible birds nest for its origin and authentication Meei, Chien Quek Nyuk, Ling Chin Yusof, Yus Aniza Chung, Lim Law Sheau, Wei Tan Authenticity of food is of great importance to ensure food safety and quality, and to protect consumer rights. A rapid and accurate method for authentication of edible bird’s nest (EBN) was proposed by using nutritional profile and chemical composition, and pattern recognition analysis. The authentication of EBN includes identification and classification of EBN by production origin (houses or caves), species origin (Aerodramus fuciphagus or Aerodramus maximus) and geographical origin (Peninsular Malaysia or East Malaysia) based on their active compositional content. Three pattern recognition methods, principal component analysis (PCA), hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA), were employed to develop classification models for authentication of EBN origins. Compared to PCA and HCA, LDA is more accurate and efficient in distinguishing EBN by different production, species, and geographical origins, having classification ability of 100% and prediction ability of 92% as validated by cross-validation method. The key chemical markers for production origin differentiation are total phenolic content, zinc, valine, and calcium, while for species origin discrimination are sialic acid, serine, phenylalanine and valine, and for geographical origin differentiation are arsenic and mercury. The findings suggest that nutritional and chemical profiles combined with pattern recognition analysis are promising strategy for rapid authentication of EBN and its products. Taylor & Francis 2018-08 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/75213/1/Pattern%20recognition%20analysis%20on%20nutritional%20profile%20and%20chemical%20composition%20of%20edible%20birds%20nest%20for%20its%20origin%20and%20authentication.pdf Meei, Chien Quek and Nyuk, Ling Chin and Yusof, Yus Aniza and Chung, Lim Law and Sheau, Wei Tan (2018) Pattern recognition analysis on nutritional profile and chemical composition of edible birds nest for its origin and authentication. International Journal of Food Properties, 21 (1). 1680 - 1696. ISSN 1094-2912; ESSN: 1532-2386 https://www.tandfonline.com/doi/full/10.1080/10942912.2018.1503303 https://doi.org/10.1080/10942912.2018.1503303 |
| spellingShingle | Meei, Chien Quek Nyuk, Ling Chin Yusof, Yus Aniza Chung, Lim Law Sheau, Wei Tan Pattern recognition analysis on nutritional profile and chemical composition of edible birds nest for its origin and authentication |
| title | Pattern recognition analysis on nutritional profile and chemical composition of edible birds nest for its origin and authentication |
| title_full | Pattern recognition analysis on nutritional profile and chemical composition of edible birds nest for its origin and authentication |
| title_fullStr | Pattern recognition analysis on nutritional profile and chemical composition of edible birds nest for its origin and authentication |
| title_full_unstemmed | Pattern recognition analysis on nutritional profile and chemical composition of edible birds nest for its origin and authentication |
| title_short | Pattern recognition analysis on nutritional profile and chemical composition of edible birds nest for its origin and authentication |
| title_sort | pattern recognition analysis on nutritional profile and chemical composition of edible birds nest for its origin and authentication |
| url | http://psasir.upm.edu.my/id/eprint/75213/1/Pattern%20recognition%20analysis%20on%20nutritional%20profile%20and%20chemical%20composition%20of%20edible%20birds%20nest%20for%20its%20origin%20and%20authentication.pdf |
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