• Food Science of Animal Resources
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• v.44 no.6
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• pp.1195-1212
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• 2024

Religious beliefs have a significant impact on consumer preferences, particularly in relation to food choices. Islam, like other religions, imposes specific dietary guidelines, notably regarding meat and meat products. However, ensuring compliance with halal standards across the entire meat and meat products supply chain presents considerable challenges. Instances of non-compliance, including improper slaughtering techniques, mislabeling, adulteration, and contamination, have caused concerns about the authenticity of halal status. To address these concerns, this review explores recent advancements in halal authentication methods and technology, focusing on practical objectives aimed at addressing non-compliance issues. It categorizes methods into four main areas of noncompliance concerns, providing a unique perspective compared to earlier reviews that primarily examined the progression of analytical methods. This classification offers a comprehensive analysis of the field's current status, facilitating the identification of research gaps and strategic recommendations for enhancing future halal authentication methods. Through the implementation of this novel approach, the review seeks to promote the development of a more robust framework for evaluating halal meat and meat products, safeguarding consumer trust and ensuring adherence to religious dietary guidelines in the future.

• Animal Bioscience
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• v.37 no.5
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• pp.918-928
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• 2024

Objective: The adulteration of raw beef (BMr) with dog meat (DMr) and pork (PMr) becomes a serious problem because it is associated with halal status, quality, and safety of meats. This research aimed to develop an effective authentication method to detect non-halal meats (dog meat and pork) in beef using metabolomics approach. Methods: Liquid chromatography-high resolution mass spectrometry (LC-HRMS) using untargeted approach combined with chemometrics was applied for analysis non-halal meats in BMr. Results: The untargeted metabolomics approach successfully identified various metabolites in BMr DMr, PMr, and their mixtures. The discrimination and classification between authentic BMr and those adulterated with DMr and PMr were successfully determined using partial least square-discriminant analysis (PLS-DA) with high accuracy. All BMr samples containing non-halal meats could be differentiated from authentic BMr. A number of discriminating metabolites with potential as biomarkers to discriminate BMr in the mixtures with DMr and PMr could be identified from the analysis of variable importance for projection value. Partial least square (PLS) and orthogonal PLS (OPLS) regression using discriminating metabolites showed high accuracy (R² >0.990) and high precision (both RMSEC and RMSEE <5%) in predicting the concentration of DMr and PMr present in beef indicating that the discriminating metabolites were good predictors. The developed untargeted LC-HRMS metabolomics and chemometrics successfully identified non-halal meats adulteration (DMr and PMr) in beef with high sensitivity up to 0.1% (w/w). Conclusion: A combination of LC-HRMS untargeted metabolomic and chemometrics promises to be an effective analytical technique for halal authenticity testing of meats. This method could be further standardized and proposed as a method for halal authentication of meats.