UPM Institutional Repository

Analytical approaches of meat authentication in food


Citation

Sajali, Nurhayatie and Wong, Sie Chuong and Abu Bakar, Suhaili and Khairil Mokhtar, Nur Fadhilah and Manaf, Yanty Noorzianna and Yuswan, Mohd Hafis and Mohd Desa, Mohd Nasir (2020) Analytical approaches of meat authentication in food. International Journal of Food Science and Technology, 56 (4). pp. 1535-1543. ISSN 0950-5423; ESSN: 1365-2621

Abstract

Meat industry sector is likely exposed to illegal practices which involve replacement of meat ingredients with other animal species. Meat products are commonly modified during processing, and the cases have been rampant in certain part of the world. Meanwhile, individual consumption patterns are affected by religious belief and health reason. For instance, Muslims and Jews are prohibited from consuming pork and allergic reaction to certain meat species affects choices of meat products. Thus, food authentication is vital as it offers protection to consumers from fraudulent act. Numerous authentication techniques have been developed to tackle food fraud issues. Authentication methods are categorised mainly as targeted analysis which provides quantitative outcome and non-targeted analysis which offers qualitative result. In the present review, both targeted and non-targeted analyses for meat species authentication are discussed based on previous research conducted using these methods and how they serve the purpose for authentication.


Download File

[img] Text (Abstract)
ABSTRACT.pdf

Download (5kB)

Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture and Food Sciences
Faculty of Medicine and Health Science
Halal Products Research Institute
DOI Number: https://doi.org/10.1111/ijfs.14797
Publisher: Wiley-Blackwell
Keywords: Meat; Food industry; Fraud; Food allergy
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 01 Jun 2022 00:55
Last Modified: 01 Jun 2022 00:55
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1111/ijfs.14797
URI: http://psasir.upm.edu.my/id/eprint/87875
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item