Analysis of Pork in Beef Sausages Using LC-Orbitrap HRMS Untargeted Metabolomics Combined with Chemometrics for Halal Authentication Study

被引:7
|
作者
Windarsih, Anjar [1 ,2 ]
Abu Bakar, Nor Kartini [1 ]
Dachriyanus [3 ]
Yuliana, Nancy Dewi [4 ,5 ]
Riswanto, Florentinus Dika Octa [6 ]
Rohman, Abdul [7 ,8 ]
机构
[1] Univ Malaya, Fac Sci, Dept Chem, Kuala Lumpur 50603, Malaysia
[2] Natl Res & Innovat Agcy BRIN, Res Ctr Food Technol & Proc PRTPP, Yogyakarta 55861, Indonesia
[3] Andalas Univ, Fac Pharm, Padang 25175, Indonesia
[4] IPB Univ, Dept Food Sci & Technol, Bogor 16680, Indonesia
[5] IPB Univ, Halal Sci Ctr, Bogor 16129, Indonesia
[6] Univ Sanata Dharma, Fac Pharm, Div Pharmaceut Anal & Med Chem, Campus Paingan 3, Yogyakarta 55282, Indonesia
[7] Univ Gadjah Mada, Fac Pharm, Dept Pharmaceut Chem, Yogyakarta 55281, Indonesia
[8] Univ Gadjah Mada, Inst Halal Ind & Syst PUIPT IHIS, Ctr Excellence, Yogyakarta 55281, Indonesia
来源
MOLECULES | 2023年 / 28卷 / 16期
关键词
beef sausages; pork; LC-HRMS metabolomics; PLS-DA; halal authentication; MEAT; FOOD; PRODUCTS; TECHNOLOGIES;
D O I
10.3390/molecules28165964
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Beef sausage (BS) is one of the most favored meat products due to its nutrition and good taste. However, for economic purposes, BS is often adulterated with pork by unethical players. Pork consumption is strictly prohibited for religions including Islam and Judaism. Therefore, advanced detection methods are highly required to warrant the halal authenticity of BS. This research aimed to develop a liquid chromatography-high-resolution mass spectrometry (LC-HRMS) method to determine the halal authenticity of BS using an untargeted metabolomics approach. LC-HRMS was capable of detecting various metabolites in BS and BS containing pork. The presence of pork in BS could be differentiated using principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) with high accuracy. PLS-DA perfectly classified authentic BS and BS containing pork in all concentration levels of pork with (RX)-X-2 = (0.821), (RY)-Y-2(= 0.984), and Q(2) = (0.795). The level of pork in BS was successfully predicted through partial least squares (PLS) and orthogonal PLS (OPLS) chemometrics. Both models gave high R-2 (>0.99) actual and predicted values as well as few errors, indicating good accuracy and precision. Identification of discriminating metabolites' potential as biomarker candidates through variable importance for projections (VIP) value revealed metabolites of 2-arachidonyl-sn-glycero-3-phosphoethanolamine, 3-hydroxyoctanoylcarnitine, 8Z,11Z,14Z-eicosatrienoic acid, D-(+)-galactose, oleamide, 3-hydroxyhexadecanoylcarnitine, arachidonic acid, and a-eleostearic acid as good indicators to detect pork. It can be concluded that LC-HRMS metabolomics combined with PCA, PLS-DA, PLS, and OPLS was successfully used to detect pork adulteration in beef sausages. The results imply that LC-HRMS untargeted metabolomics in combination with chemometrics is a promising alternative as an analytical technique to detect pork in sausage products. Further analysis of larger samples is required to warrant the reproducibility.
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页数:15
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