OPL公司
化学
色谱法
单变量
串联质谱法
重复性
定量分析(化学)
液相色谱-质谱法
选择性反应监测
定量蛋白质组学
质谱法
蛋白质组学
多元统计
计算机科学
生物化学
机器学习
分子
有机化学
氢键
基因
作者
Chaodi Kang,Yingying Zhang,Mingyue Zhang,Jing Qi,Wentao Zhao,Jin Gu,Wenping Guo,Yingying Li
出处
期刊:Food Chemistry
[Elsevier]
日期:2022-04-09
卷期号:387: 132932-132932
被引量:113
标识
DOI:10.1016/j.foodchem.2022.132932
摘要
A rapid, simple, and efficient analysis methodology for screening specific quantitative peptides of beef was established based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) coupled with orthogonal partial least squares-discriminant analysis (OPLS-DA). The OPLS-DA model was built to select species-specific peptides that make a significant contribution to classification. Peptides with statistical significance were selected based on the variable importance in the projection (VIP) values and univariate P values. After the workflow of the statistical process, three specific quantitative peptides were identified by using homemade products with different beef contents. A quantification method for selected specific quantitative peptides was established by using LC-MS/MS. The quantitative results were applied to commercialized beef products. The developed method has high sensitivity, specificity, and repeatability. The results of this study proved that the integration of LC-MS/MS coupled with OPLS-DA is an efficient method for screening specific quantitative peptides and identification of the authenticity of meat products.
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