China Meat Research Center, 100068 Beijing, China.
China Meat Research Center, 100068 Beijing, China.
Food Chem. 2018 Apr 15;245:125-131. doi: 10.1016/j.foodchem.2017.09.066. Epub 2017 Oct 5.
Food adulteration and fraud is driven by economic interests; it is thus necessary to establish a high-through method that allows quantitative identification of familiar animal and plant proteins for global use. In this study, a sensitive mass spectrometric approach for the detection of eight species, including pork, beef, lamb, chicken, duck, soy, peanut, and pea, is presented and the heat stability and specificity of screened peptides are verified. To improve screening efficiency of specific peptides, several key data searching parameters, including peptides, sequence lengths, sequence coverage, and unique peptides, are investigated. Using this approach, it is possible to detect a 0.5% contamination of any of the eight species. The method is proven to have high sensitivity, specificity, repeatability, and a low quantitative detection limit with respect to adulteration of diverse types of meat products.
食品掺假和欺诈受经济利益驱动；因此，有必要建立一种高通量的方法，以便对全球范围内常见的动植物蛋白进行定量鉴定。在本研究中，提出了一种用于检测八种物种（包括猪肉、牛肉、羊肉、鸡肉、鸭肉、大豆、花生和豌豆）的灵敏质谱检测方法，并验证了筛选出的肽的热稳定性和特异性。为了提高特定肽的筛选效率，研究了几个关键的数据搜索参数，包括肽、序列长度、序列覆盖率和独特肽。使用这种方法，可以检测到任何八种物种 0.5%的污染。该方法在检测各种肉类产品的掺假方面具有高灵敏度、特异性、可重复性和低定量检测限的特点。
