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Omics-based analytical approaches for assessing chicken species and breeds in food authentication


Citation

Goh, Dirong and Nematbakhsh, Sara and Selamat, Jinap and Pei, Pei Chong and Idris, Lokman Hakim and Nordin, Noordiana and Fatchiyah, Fatchiyah and Abdull Razis, Ahmad Faizal (2021) Omics-based analytical approaches for assessing chicken species and breeds in food authentication. Molecules, 26 (21). art. no. 6502. ISSN 1420-3049

Abstract

Chicken is known to be the most common meat type involved in food mislabeling and adulteration. Establishing a method to authenticate chicken content precisely and identifying chicken breeds as declared in processed food is crucial for protecting consumers’ rights. Categorizing the authentication method into their respective omics disciplines, such as genomics, transcriptomics, proteomics, lipidomics, metabolomics, and glycomics, and the implementation of bioinformatics or chemometrics in data analysis can assist the researcher in improving the currently available techniques. Designing a vast range of instruments and analytical methods at the molecular level is vital for overcoming the technical drawback in discriminating chicken from other species and even within its breed. This review aims to provide insight and highlight previous and current approaches suitable for countering different circumstances in chicken authentication.


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Official URL or Download Paper: https://www.mdpi.com/1420-3049/26/21/6502

Additional Metadata

Item Type: Article
Divisions: Faculty of Food Science and Technology
Faculty of Veterinary Medicine
Institute of Bioscience
Institute of Tropical Agriculture and Food Security
DOI Number: https://doi.org/10.3390/molecules26216502
Publisher: MDPI
Keywords: Chicken authentication; Mislabeling; Breed identification; Omics; Chemometrics
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 29 Mar 2023 07:57
Last Modified: 29 Mar 2023 07:57
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/molecules26216502
URI: http://psasir.upm.edu.my/id/eprint/94420
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