Untargeted Metabolomics Based on UHPLC-HRMS for Authentication of Chicken Meat Supplied by Different Slaughter Methods of Halal, Non-Halal, and Shubha

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Vevi Maritha, Puri Ratna Kartini, Nur Ihda Farikhatin Nisa, Alice Rivera, Firman Rezaldi, Rudi Heryanto, Avip Kurniawan, Mohammad Yuwono
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Abstract

To protect consumers from non-halal and shubha-halal foods, it is essential to authenticate chicken meat based on its slaughtering process. The objective of the present study is to authenticate the halalness of chicken meat based on the slaughter process. Untargeted metabolomics, utilizing UHPLC-HRMS combined with chemometrics, offers a selective and accurate method for verifying the halal status of chicken meat based on the slaughter process. The results of this research identified 28 metabolite profiles, with creatine, carnosine, and 3-methylhistidine being the most prominent metabolites. Principal component analysis (PCA) clearly distinguished the metabolite profiles of chicken meat slaughtered using different methods. Additionally, cluster analysis effectively grouped chicken meat based on similarities in metabolite profiles. The correlation network revealed that 21 types of metabolites are interrelated in the halal authentication process. Partial least squares discriminant analysis (PLS-DA) accurately identified 13 potential biomarkers for halal authentication, including creatine, betaine, 2-amino-1,3,4-octadecanetriol, L-isoleucine, L-phenylalanine, L-histidine, L-glutamic acid, L-glutathione, DL-glutamine, taurine, carnosine, and acetyl-L-carnitine. Overall, untargeted metabolomics combined with UHPLC-HRMS and chemometrics represents a promising method for authenticating the halal status of chicken meat, distinguishing between halal, non-halal, shubha-halal, and mixtures of halal with non-halal or shubha-halal meat.

基于UHPLC-HRMS的非靶向代谢组学在清真、非清真和舒巴不同屠宰方式鸡肉鉴定中的应用
为了保护消费者免受非清真食品和非清真食品的侵害,必须根据屠宰过程对鸡肉进行认证。本研究的目的是根据屠宰过程来验证鸡肉的清真性。非靶向代谢组学,利用UHPLC-HRMS结合化学计量学,提供了一种基于屠宰过程的选择性和准确的方法来验证鸡肉的清真状态。本研究的结果确定了28种代谢物谱,其中肌酸、肌肽和3-甲基组氨酸是最显著的代谢物。主成分分析(PCA)对不同屠宰方法的鸡肉的代谢物谱进行了清晰的区分。此外,聚类分析基于代谢产物谱的相似性有效地对鸡肉进行了分组。相关网络显示,21种代谢物在清真认证过程中是相互关联的。偏最小二乘法判别分析(PLS-DA)准确鉴定出13种潜在的清真认证生物标志物,包括肌酸、甜菜碱、2-氨基-1,3,4-十八烷三醇、l-异亮氨酸、l-苯丙氨酸、l-组氨酸、l-谷氨酸、l-谷胱甘肽、dl -谷氨酰胺、牛磺酸、肌肽和乙酰- l-肉碱。总的来说,非靶向代谢组学结合UHPLC-HRMS和化学计量学代表了一种很有前途的方法来验证鸡肉的清真状态,区分清真,非清真,舒巴-清真,以及清真与非清真或舒巴-清真肉类的混合物。
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来源期刊
Food Analytical Methods
Food Analytical Methods 农林科学-食品科技
CiteScore
6.00
自引率
3.40%
发文量
244
审稿时长
3.1 months
期刊介绍: Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.
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