笛卡尔叶
特征(语言学)
计算生物学
化学
色谱法
模式识别(心理学)
生物系统
计算机科学
生物
人工智能
高效液相色谱法
语言学
哲学
作者
Jiabao Chen,Xiufang Wang,Xiaodong Xin,Yuguang Zheng,Fangjie Hou,Chunhua Li,Long Guo,Lei Wang
标识
DOI:10.1016/j.foodchem.2024.141293
摘要
Perillae Folium (PF), the leaf of Perilla frutescens (L.) Britt is extensively used as a culinary vegetable and medicinal herb in many countries. Purple PF (P. frutescens var. arguta) and green PF (P. frutescens var. frutescens) are two of the main varieties. In this study, UHPLC-Q-TOF/MS assisted with feature-based molecular networking (FBMN) was applied for chemical characterization. In total, 82 metabolites, mainly phenolic acid derivatives were identified from PF. With the help of FBMN, five organic acid glucosides together with three N-phenylpropenoyl-L-amino acids (NPAs) were identified in PF for the first time. Multivariate statistical methods were utilized for comprehensive comparison of purple and green PF profiles. 12 compounds with their relative contents varied significantly between purple and green PF were screened out. Overall, the present study offers valuable insights for chemical elucidation of PF which would be helpful for comprehensive utilization of PF resource.
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