China Meat Research Center, 100068 Beijing, China.
China Meat Research Center, 100068 Beijing, China.
Food Chem. 2022 Mar 15;372:131336. doi: 10.1016/j.foodchem.2021.131336. Epub 2021 Oct 5.
Over the years, food adulteration has become an important global problem, threatening public health safety and the healthy development of food industry. This study established a liquid chromatography-tandem mass (LC-MS/MS) method for accurate identification and quantitative analysis of fox meat products. High-resolution mass was used for data collection, and Proteome Discoverer was used for data analysis to screen fox-specific peptides. Multivariate statistical analysis was conducted using the data obtained from the label-free analysis of different contents of simulated samples. Samples with different contents were distinguished without interfering with each other, suggesting the feasibility of quantitative analysis of fox meat content. The linear correlation coefficient and recovery rate were calculated to determine the fox peptides that can be used for accurate quantification. The established LC-MS/MS method can be used for the accurate identification and quantification of actual samples. In addition, this method can provide technical support for law enforcement departments.
多年来,食品掺假已成为一个重要的全球性问题,威胁着公众的健康安全和食品行业的健康发展。本研究建立了一种液相色谱-串联质谱(LC-MS/MS)方法,用于准确鉴定和定量分析狐肉制品。采用高分辨质谱进行数据采集,利用 Proteome Discoverer 进行数据分析,筛选狐特异性肽段。采用无标记分析不同含量模拟样品的数据进行多变量统计分析。不同含量的样品相互之间没有干扰,从而可以区分,表明定量分析狐肉含量的可行性。通过计算线性相关系数和回收率来确定可用于准确定量的狐肽。建立的 LC-MS/MS 方法可用于实际样品的准确鉴定和定量。此外,该方法可为执法部门提供技术支持。