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Food Science of Animal Resources
Article . 2025 . Peer-reviewed
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The Use of Metabolomics Approach in the Combination with Multivariate Data Analysis for the Identification of Non-Halal Meats: A Narrative Review

Authors: Abdul Rohman; Vevi Maritha; Anjar Windarsih; Muhammad Jefriyanto Budikafa; Florentinus Dika Octa Riswanto; Muhammad Abdurrahman Munir; Halida Rahmania;

The Use of Metabolomics Approach in the Combination with Multivariate Data Analysis for the Identification of Non-Halal Meats: A Narrative Review

Abstract

There are three issues in relation to halal products namely raw materials, processes, and halal authentication analysis. One of the issues encountered in raw materials is meat origins which can be obtained either from its sources (halal and non-halal meats) or due to slaughtering processes (zabiha and non-zabiha). Therefore, some scientist tried to develop analytical methods capable of discriminating the types of halal and non-halal meats due to its sources and its slaughtering processes. Three approaches have been introduced for the identification and quantification of non-halal meats, namely identification of specific markers, profiling using fingerprinting tools and metabolomics studies. Differentiation of halal and non-halal meats from the perspectives of its sources and slaughtering processes are very challenging. This review highlighted the application of analytical methods based on metabolomics approaches in combination with chemometrics for differentiation of halal and non-halal meats from its sources such as rat meat, pork, canine meats, and from the slaughtering processes in terms of zabiha and non-zabiha procedures.

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Review

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold