2023
DOI: 10.1007/s12161-023-02472-x
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Metabolomics and Proteomics Approach Using LC-Orbitrap HRMS for the Detection of Pork in Tuna Meat for Halal Authentication

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Cited by 10 publications
(5 citation statements)
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“…Meat authentication techniques are based on the identification of targeted analytes, namely biomarkers, or the identification of a chemical analyte pattern unique for the tested meat species. Classification of these techniques based on the group of the analytes to be detected includes DNA-based (classical techniques and genomics) (Dirong et al, 2021;Azad, 2023), RNA-based (transcriptomics) (Vishnuraj, Devatkal, Vaithiyanathan, Uday Kumar & Mendiratta, 2021), proteins-based (proteomics) (Stachniuk, Sumara, Montowska & Fornal, 2021;Suratno, Windarsih, Warmiko, Khasanah, Indrianingsih & Rohman, 2023), metabolites-based (metabolomics) (Zhang, Chen, Xie, Wang & Pan, 2021;Harlina, Maritha, Musfiroh, Huda, Sukri & Muchtaridi, 2022;Suratno, 2023), lipids-based (lipidomics) (Harlina et al, 2022;Jia, Di & Shi, 2023) and glycans-based (glycomics) based techniques (Shi et al, 2019;Chia et al, 2022).…”
Section: Analytical Approaches On Meat Adulteration Controlmentioning
confidence: 99%
See 1 more Smart Citation
“…Meat authentication techniques are based on the identification of targeted analytes, namely biomarkers, or the identification of a chemical analyte pattern unique for the tested meat species. Classification of these techniques based on the group of the analytes to be detected includes DNA-based (classical techniques and genomics) (Dirong et al, 2021;Azad, 2023), RNA-based (transcriptomics) (Vishnuraj, Devatkal, Vaithiyanathan, Uday Kumar & Mendiratta, 2021), proteins-based (proteomics) (Stachniuk, Sumara, Montowska & Fornal, 2021;Suratno, Windarsih, Warmiko, Khasanah, Indrianingsih & Rohman, 2023), metabolites-based (metabolomics) (Zhang, Chen, Xie, Wang & Pan, 2021;Harlina, Maritha, Musfiroh, Huda, Sukri & Muchtaridi, 2022;Suratno, 2023), lipids-based (lipidomics) (Harlina et al, 2022;Jia, Di & Shi, 2023) and glycans-based (glycomics) based techniques (Shi et al, 2019;Chia et al, 2022).…”
Section: Analytical Approaches On Meat Adulteration Controlmentioning
confidence: 99%
“…In general, the different omics-based approaches are able either to identify numerous analytes present in the food sample with high sensitivity or provide a large amount of data that after suitable statistical treatment can answer the authentication problem. Nonetheless for this kind of analytical approach there is a prerequisite of highly standardized laboratory with advanced analytical instruments such as liquid and gas chromatography coupled with high-resolution mass spectrometry (LC-and GC-HRMS) (Harlina et al, 2022;Suratno et al, 2023) and NMR (Kim, Ko & Jo, 2021). Moreover, a considerable amount of time and resources, such as chemical reagents, is required for the application of this approach Furthermore, these methods usually generate a great amount of data which require suitable software and laborious data processing along with high expertise in multivariate statistics and chemometrics.…”
Section: Analytical Approaches On Meat Adulteration Controlmentioning
confidence: 99%
“…In the global market, BET is usually processed into sushi, sashimi, etc. However, microbial spoilage, deterioration, and high susceptibility to drying of BET occur easily when making high-quality sashimi dishes. , Cooked BET products capture the interests of consumers because of enhanced flavor and ensured microbiological safety. Frying, roasting, boiling, and other popular home cooking techniques can alter the content and composition of lipids in BET.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the use of a metabolic approach based on highresolution liquid chromatography-mass spectrometry has shown promise in identifying halal and non-halal meat. However, the obtained metabolites tend to be highly complex, making data interpretation challenging [10]. Considering these factors, the DNA-based method stands out as the preferred choice for meat analysis due to its specificity and sensitivity [11].…”
Section: Introductionmentioning
confidence: 99%