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Combinational numeral fingerprint spectra of Glycyrrhiza and analysis of common peak ratio invariableness in HPLC
Author(s) -
Zou Huabin,
Yang Guosheng,
Du Aiqin,
Yuan Jiurong,
Qin Zhengran,
Xia Yingying,
AboulEnein Hassan Y.
Publication year - 2006
Publication title -
biomedical chromatography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.4
H-Index - 65
eISSN - 1099-0801
pISSN - 0269-3879
DOI - 10.1002/bmc.639
Subject(s) - fingerprint (computing) , chemistry , chromatography , numeral system , glycyrrhiza uralensis , high performance liquid chromatography , pattern recognition (psychology) , radix (gastropod) , similarity (geometry) , absolute (philosophy) , glycyrrhiza , analytical chemistry (journal) , artificial intelligence , computer science , philosophy , botany , epistemology , image (mathematics) , biology , medicine , alternative medicine , pathology
To overcome the instability of traditional Chinese medicine (TCM) fingerprint spectra (FPS) and to build up absolute identification standard of TCM, the construction method of combinational numeral fingerprint spectra (CNFPS) was set up. The analysis of invariableness based on CNFPS was carried out. It can be used as absolute quantitative standard to identify the difference of TCM samples. According to this method, the HPLC FPS of components extracted from Glycyrrhiza root samples by ethanol was analyzed. Stable results and accurate quality evaluation were obtained perfectly. The common peak ratio invariableness is an absolute standard in identifying TCM samples, which is better than the similarity method of the FPS. Copyright © 2006 John Wiley & Sons, Ltd.