Lipidomic profiles of human milk and yak milk

The raw mass spectrometry data were processed utilizing the ProteoWizard software, transforming them into the mzXML format. Subsequently, XCMS software was applied to refine the data through retention time correction, peak identification, extraction, integration, and alignment processes, applying a minimum threshold of 0.5 and a cutoff criterion of 0.6. For lipid identification, our laboratory's proprietary R package, built upon XCMS and integrated with the lipid blast database, was utilized. Milk lipids and fatty acids (FAs) were quantified in units of μg/mL and g/100 total FAs, respectively. Statistical analysis of variations across different mammalian milk samples was conducted using Student's t-test, with statistical significance determined at an alpha level of 0.05, implying that a p-value less than 0.05 signifies a significant difference in the data.

原始质谱数据采用ProteoWizard软件进行预处理，转换为mzXML格式。随后，使用XCMS软件对数据进行优化处理，具体包括保留时间校正、峰识别、峰提取、峰积分与峰对齐流程，并设置最小阈值为0.5、截断标准为0.6。针对脂质鉴定工作，本实验室采用了基于XCMS构建并集成脂质BLAST数据库的自研R包。乳脂与脂肪酸（Fatty Acids, FAs）的定量单位分别为μg/mL和g/100总脂肪酸。针对不同哺乳动物乳样间的差异开展统计学分析，采用学生t检验进行统计推断，并以显著性水平α=0.05作为判定标准，即当p值小于0.05时，认为数据间存在显著性差异。