An intelligentized strategy for endogenous small molecules characterization and quality evaluation of earthworm from two geographic origins by ultra-high performance HILIC/QTOF MSE and Progenesis QI

主成分分析 化学 亲水作用色谱法 色谱法 偏最小二乘回归 质谱法 代谢组 代谢组学 高效液相色谱法 分析化学(期刊) 人工智能 计算机科学 机器学习
作者
Jingxian Zhang,Wenzhi Yang,Shangrong Li,Shuai Yao,Peng Qi,Zhou Yang,Zijin Feng,Jinjun Hou,Lu-Ying Cai,Min Yang,Wanying Wu,De‐an Guo
出处
期刊:Analytical and Bioanalytical Chemistry [Springer Nature]
卷期号:408 (14): 3881-3890 被引量:119
标识
DOI:10.1007/s00216-016-9482-3
摘要

Animal-derived medicines have been a vital component for traditional Chinese medicine. However, their quality control remains challenging due to the large polarity of the contained endogenous small molecules (ESMs) that are difficult to separate by reversed-phase HPLC. Herein, an intelligentized strategy by ultra-high performance hydrophilic interaction chromatography/quadrupole time-of-flight mass spectrometry (HILIC/QTOF-MSE) is presented, and used for the ESMs characterization and differentiation of two geographic origins of earthworm (Guang Di-long, GD; Hu Di-long, HD) as a case study. Chromatographic separation was performed on a BEH Amide column (2.1 × 100 mm, 1.7 μm). The MSE data in both negative and positive ion modes were acquired to record the high-accuracy MS and MS/MS data of all precursor ions. Automatic data processing was enabled by use of Progenesis QI software. As a consequence, 926 metabolites among 4705 features and 761 among 3418 features were characterized in the negative and positive modes, respectively, by searching the human metabolome database (HMDB). To reduce the false positive identifications, structural confirmation was conducted by comparison with the reference standards (tR and MS, MS/MS data) or matching with theoretical data or commercial library. Principal component analysis (PCA) of the GD and HD samples showed distinct classifications. Further orthogonal partial least squares discriminant analysis (OPLS-DA) and variable importance in projection (VIP) plot revealed the potential discriminatory markers between GD and HD. The present study provides a powerful and practical strategy that facilitates the primary metabolites characterization and quality evaluation of animal-derived medicines more efficiently.
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