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基于 UPLC/LTQ-Orbitrap MS 的全面代谢组学和脂质组学方法鉴定碎猪肉中的淋巴结掺假。

Identification of lymph node adulteration in minced pork by comprehensive metabolomics and lipidomics approach based on UPLC/LTQ-Orbitrap MS.

机构信息

Hubei Provincial Institute for Food Supervision and Test, Wuhan, China.

Key Laboratory of Detection Technology of Focus Chemical Hazards in Animal-derived Food for State Market Regulation, Wuhan, China.

出版信息

J Food Sci. 2024 Apr;89(4):2249-2260. doi: 10.1111/1750-3841.17005. Epub 2024 Mar 13.

DOI:10.1111/1750-3841.17005
PMID:38477648
Abstract

The deliberate pork adulteration with lymph nodes is a common adulteration phenomenon, and it poses a serious threat to public health and food safety. An untargeted metabolomics and lipidomics approach based on ultrahigh performance liquid chromatography coupled with linear ion trap quadrupole-Orbitrap high resolution mass spectrometry (MS) was used to distinguish lymph nodes from minced pork. The principal component analysis and orthogonal projection to latent structures discriminant analysis models were established with the good of fitness and predictivity. The results showed that there were significant differences in metabolites and lipids between lymph nodes and pork. A total of 16 significantly differentiated metabolites were identified, of which 1-palmitoylglycerophosphocholine, 12,13-dihydroxy-9-octadecenoic acid, and prostaglandin E (PGE) were positively correlated with lymph node content and were identified as potential markers of lymph nodes. These three markers were combined to create a binary logistic regression model, and a combined-factor exceeding 0.75 was ultimately identified as a marker for pork adulteration with lymph nodes. The desorption electrospray ionization-MS images showed that PGE had a higher relative abundance in the lymph node region than in adjacent non-lymph node regions, indicating that PGE was a marker that contributed significantly for identifying lymph nodes adulteration into pork. Our results provide a theoretical basis for identifying lymph node adulteration, which will contribute to combating fraud in the meat industry.

摘要

蓄意将淋巴结掺入猪肉中是一种常见的掺假现象,对公众健康和食品安全构成严重威胁。本研究采用基于超高效液相色谱-线性离子阱四极杆-Orbitrap 高分辨质谱(MS)的非靶向代谢组学和脂质组学方法来区分淋巴结和绞肉。通过建立主成分分析和正交偏最小二乘判别分析模型,对模型的拟合度和预测能力进行了评估。结果表明,淋巴结和猪肉之间的代谢物和脂质存在显著差异。共鉴定出 16 种差异代谢物,其中 1-棕榈酰甘油磷酸胆碱、12,13-二羟基-9-十八烯酸和前列腺素 E(PGE)与淋巴结含量呈正相关,被鉴定为淋巴结的潜在标志物。将这三个标志物组合创建一个二项逻辑回归模型,最终确定综合因子超过 0.75 作为猪肉掺淋巴结的标志物。解吸电喷雾电离-MS 图像显示,PGE 在淋巴结区域的相对丰度高于相邻非淋巴结区域,表明 PGE 是一种对识别淋巴结掺假到猪肉中具有重要贡献的标志物。本研究结果为识别淋巴结掺假提供了理论依据,有助于打击肉类行业的欺诈行为。

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