Halal Authentication of Meat Products Via UHPLC-HRMS Lipidomics and Chemoinformatics

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Vevi Maritha, Nur Ihda Farikhatin Nisa, Mohammad Arfi Setiawan, Dwi Rahmawati, Vina Yoelia Sandy, Rudi Heryanto, Putri Widyanti Harlina, Hafy Baruna Albar, Erawan Kurniadi

2025 Food Analytical Methods Vol. 18 Issue 5 Article Cited by 2 Quartile

Abstract

Authentication of the halalness of beef and pork products (sausages, nuggets, and corned beef) is important. PCR (polymerase chain reaction) is a method for authenticating halalness with good accuracy based on DNA (deoxyribonucleic acid) profiles, but has the disadvantage of extracting a lot of DNA so that the sensitivity is low. Therefore, an alternative method is needed, one of which is through the lipidomics approach. The methods of this research are lipid extraction, method optimization through mobile phase gradient, untargeted lipidomics, chemoinformatics, and validation of analytical methods. The optimum gradient was 5% (0.1% formic acid in acetonitrile) and 95% (0.1% formic acid in water). The lipid profile in ESI− was 87 and 79 in ESI+. Cluster analysis showed that beef and pork sausages, nuggets, and corned beef were well separated. The R2 value of ESI- was 0.952 while that of ESI + was 0.859, which means that the analysis method in ESI- was more selective. The 15 lipids in ESI- could be a potential marker for halal authentication. Method validation using chicken nugget lipid profiles plotted in PLS-DA and separated from the sample. UHPLC-HRMS-based lipidomics and chemoinformatics is a valid analytical method for halal authentication of processed meat products. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

Affiliations

Pharmacy Study Program, Faculty of Health and Science, Universitas PGRI Madiun, Madiun, Indonesia; Chemical Engineering Study Program, Faculty of Engineering, Universitas PGRI Madiun, Madiun, Indonesia; Analytical Chemistry Division, Department of Chemistry, Bogor Agricultural University, Bogor, Indonesia; Department of Food Industrial Technology, Faculty of Agro-Industrial Technology, Universitas Padjadjaran, Bandung, 45363, Indonesia; Statistics Study Program, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya, Malang, Indonesia; Physics Education Study Program, Faculty of Teacher Education and Science, Universitas PGRI Madiun, Madiun, Indonesia