ArticleFood science of animal resources2025
Chemometrics Assisted-Liquid Chromatography (LC)-Orbitrap High Resolution Mass Spectrometry (HRMS) Non-Targeted Metabolomics for Identification of Dog Meat in Beef Sausages.
Article in Food science of animal resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- The Use of Metabolomics Approach in the Combination with Multivariate Data Analysis for the Identification of Non-Halal Meats: A Narrative Review.Food science of animal resources · 2025Review
- The effects of yeast fermentation on taste substance evolution and sensory development of dry-cured ham: The insights of peptidomics and metabolomics.Food chemistry: X · 2025Article
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Authors and funding
5 authors.
Funding
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Abstract
The presence of non-halal meats in declared halal meat products is truly prohibited to be consumed, especially for Muslim consumers. The objective of this study was to identify dog meat (DM) adulteration in beef sausage (BS) using an untargeted metabolomics technique based on liquid chromatography-high resolution mass spectrometry (LC-HRMS) Orbitrap incorporated with chemometrics tools. Chemometrics of principal component analysis (PCA), partial least square-discriminant analysis (PLS-DA), PLS, and orthogonal PLS was used to manage the metabolomics data. PCA could differentiate the authentic BS and that adulterated with DM. In addition, PLS-DA successfully classified BS and BS adulterated with DM according to their classes with r
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