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Determination of porcine derived components in gelatin and gelatin-containing foods by high performance liquid chromatography-tandem mass spectrometry

明胶 驴子 色谱法 化学 串联质谱法 重复性 质谱法 液相色谱-质谱法 高效液相色谱法 生物化学 生物 生态学
作者
Xiaoyan Zhu,Shuqing Gu,Dehua Guo,Xinxin Huang,Niannian Chen,Bing Niu,Xiaojun Deng
出处
期刊:Food Hydrocolloids [Elsevier]
卷期号:134: 107978-107978
标识
DOI:10.1016/j.foodhyd.2022.107978
摘要

Detection and quantitation of porcine derived components in bovine and donkey gelatins and gelatin-containing foods is required for religious practices and consumer economic interests. In this study, shot-gun proteomics approaches were implemented to identify species-specific peptide biomarkers of three main gelatin origins, including porcine, bovine and donkey. Tryptic gelatin peptides were separated and analyzed with ultra-performance liquid chromatography-tandem high-resolution mass spectrometry (UPLC-HRMS), and 11 peptide biomarkers were selected for porcine, bovine and donkey. The gelatin pretreatment methods in three different food matrixes were optimized, and a label-free quantitative method using the MRM method of the most sensitive biomarker peptides was established. Among them, two porcine gelatin quantitative peptides were confirmed to have good linearity. The method has been successfully applied to the adulteration detection of porcine-derived components in gelatin and the quantification of porcine gelatin in candy and dairy products, with LODs of 0.07, 0.08 and 0.12 mg/kg, respectively. • A strategy for identification of peptide biomarkers of common gelatin species was established and improved with untargeted and targeted proteomics approaches. • Eleven species-specific peptide biomarkers were selected for porcine, bovine and donkey gelatin. • The pretreatment method of gelatin in different food matrixes has been optimized, especially for gelatin in dairy products. • The label-free MRM method is used for quantitative determination of adulterated porcine gelatin in mixed gelatin and gelatin-containing food, with good linearity, specificity, sensitivity and repeatability.
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