超高效液相色谱-四级杆-飞行时间质谱法与代谢组学技术分析牛乳与羊乳差异性
目的 采用超高效液相色谱-四级杆-飞行时间质谱仪(ultra-performance liquid chromatography- quadrupole time-of-flight mass spectrometry, UPLC-Q-TOF)高分辨质谱和代谢组学技术分析牛乳与羊乳差异。方法 以小分子化学物质(分子量MW＜1000 u)为研究对象, 采用主成分分析、正交偏最小二乘法-判别式分析等多元统计分析手段, 借助Progenesis QI软件和数据库分析差异。结果 初步鉴定出128种物质, 其中在牛乳中含量高的物质有38种, 在羊乳中含量高的物质90种。牛乳和羊乳在小分子代谢物上有明显差异(P<0.05), 主要为脂质、有机酸、糖类等, 并剖析了伏马毒素B1、牛磺鹅去氧胆酸和乳清酸等典型的潜在生物标志物。结论 本方法简单、便捷、且灵敏度高, 为牛羊乳的真假鉴别以及牛羊乳差异性的进一步分析提供了理论支持。
Objective To analyze the difference between cow milk and goat milk by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF) and metabolomics approach. Methods Taking small molecule chemical substances (molecular weight MW <1000 u) as the research object, we used principal statistical analysis, orthogonal partial least squares-discriminant analysis and other multivariate statistical analysis methods to analyze the differences with Progenesis QI software and database. Results A total of 128 substances were identified, of which 38 were high in cow milk and 90 were high in goat milk. There were significant differences in small molecule metabolites between cow's milk and goat's milk (P <0.05), mainly lipids, organic acids, sugars, etc. Typical potential biomarkers such as fumonisin B1, taurochenodeoxycholic acid and orotic acid were analyzed. Conclusion This method is simple, convenient and highly sensitive, which provides theoretical support for the identification of true and false bovine milk and the further analysis of the difference between bovine and goat milk.
标题：超高效液相色谱-四级杆-飞行时间质谱法与代谢组学技术分析牛乳与羊乳差异性
英文标题：Analysis of differences in cow milk and goat milk by ultra performance liquid chromatography-quadrupole-time of flight mass spectrometry and metabolomics approach
作者：
房艳 谱尼测试集团股份有限公司；谱尼测试集团北京科学技术研究院有限公司
于思雨 谱尼测试集团股份有限公司
高俊海 谱尼测试集团股份有限公司；谱尼测试集团北京科学技术研究院有限公司
宋敬宁 谱尼测试集团股份有限公司
中文关键词:牛乳,羊乳,超高效液相色谱-四级杆-飞行时间质谱法,小分子代谢产物,生物标志物,
英文关键词:cow milk,goat milk,ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry,small molecule metabolomics,biomarker,
发表日期：2020-01-17
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