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All Journal Tropical Animal Science Journal
Windarsih, A.
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Agriculture, Biological Sciences & Forestry Energy

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Journal : Tropical Animal Science Journal

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Chemometrics Assisted LC-HRMS Non-Targeted Metabolomics for Discrimination of Beef, Chicken, and Wild Boar Meats Windarsih, A.; Rohman, A.; Khasanah, Y.; Erwanto, Y.; Abu Bakar, N. K.
Tropical Animal Science Journal Vol. 47 No. 3 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.3.381

Abstract

Meat authentication is very important to avoid adulteration, substitution, and mislabeling of meats and meat-based products to protect consumers by ensuring quality, safety, and halal status. This research aimed to employ metabolomics approach using liquid chromatography-high resolution mass spectrometry (LC-HRMS) to identify metabolites of beef (BM), chicken meat (CM), and wild boar meat (WBM) as well as to identify the discriminating metabolites of BM-WBM and CM-WBM. The chemometrics of principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA) were used to differentiate BM, CM, and WBM. The orthogonal projection to latent structures-discriminant analysis (OPLS-DA) was used to discriminate and identify discriminating metabolites of BM-WBM and CM-WBM through the variable importance for projections (VIP) value analysis (VIP>1.50, p<0.05). The heatmap plot showed the distribution of discriminating metabolites in BM, CM, and WBM samples. The results of this study suggested that untargeted LC-HRMS successfully identified metabolites in meats. In addition, chemometrics could be used to discriminate between BM, CM, and WBM clearly. In summary, the combination of LC-HRMS and chemometrics is promising for the authentication of meats to ensure the quality as well as halal status of meats.
Co-Authors A. Rohman Abu Bakar, N. K. Khasanah, Y. Y. Erwanto