摘要
现代分析技术的不断进步和中药更加系统化使得中药指纹图谱质量控制技术应运而生。中药指纹图谱中潜藏着大量反映中药及其复方内在化学物质信息的数据和变量,对其挖掘和评价尤为关键。基于化学计量学和计算机科学的模式识别,能够特征性的识别中药指纹图谱数据和变量,继而实现指纹图谱技术对中药及其复方的质量控制。本文就近年来中药指纹图谱模式识别研究进展进行综述。
With the continual progress in modern analytical technology and in-depth systematic study of Traditional Chinese Medicine （TCM）, fingerprint is being gradually accepted for quality control. Fingerprint contains plenty of incognizable and potent data that reflect the intrinsic chemical information of TCM, how to discover and exploit these data is particularly important. The fingerprint pattern recognition of TCM that based on chemometric and computer science can recognize these data and variable characteristics, which makes it possible to control the quality of TCM. This paper reviews the advances in the pattern recognition research on fingerprint of TCM in recent years.
出处
《国际药学研究杂志》
CAS
2010年第6期446-450,共5页
Journal of International Pharmaceutical Research
基金
国家科技支撑计划课题(2006BAI08B03-08)
国家科技重大专项课题(2009ZX09301-002
2009ZX09103-361)
关键词
指纹图谱
模式识别
中药
质量控制
fingerprint
pattern recognition
Traditional Chinese Medicine
quality control
