Discovery of quality control markers from traditional Chinese medicines by fingerprint-efficacy modeling: Current status and future perspectives

被引：73

作者：

Zhang, Cai ^{[1
]}

Zheng, Xian ^{[1
]}

Ni, Hui ^{[1
]}

Li, Ping ^{[1
]}

Li, Hui-Jun ^{[1
]}

机构：

[1] China Pharmaceut Univ, State Key Lab Nat Med, 24 Tongjia Lane, Nanjing 210009, Jiangsu, Peoples R China

来源：

JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS | 2018年 / 159卷

基金：

中国国家自然科学基金;

关键词：

Traditional Chinese medicines; Quality control markers; Fingerprint-efficacy modeling; Chemometric methods; SPECTRUM-EFFECT RELATIONSHIPS; SUPPORT VECTOR MACHINE; HERBAL MEDICINES; ANTIOXIDANT COMPONENTS; NETWORK PHARMACOLOGY; NATURAL-PRODUCTS; DATA FUSION; CHROMATOGRAPHY; IDENTIFICATION; PREDICTION;

D O I：

10.1016/j.jpba.2018.07.006

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Quality control (QC) is crucial for ensuring the safety and effectiveness of traditional Chinese medicines (TCMs). Due to extremely complicated phytochemical matrices and characteristic mode of "multi-component, multi-target, integrated adjustment", discovering of QC markers from TCMs is a big challenge. Fingerprint-efficacy (FE) modeling method is currently proposed as an effective and reasonable attempt. This review summarizes the methodologies of FE modeling and applications in screening QC markers, meanwhile the future perspectives are also briefly discussed so as to provide inspiration and reference for follow-up study of FE relationship for TCMs. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：296 / 304

页数：9