Quality evaluation of fingerprints of herbal medicine with chromatographic data

Autor:	Yiping Du, Bo-Yan Li, Yi-Zeng Liang, Pei-Shan Xie, Yun Hu
Rok vydání:	2004
Předmět:	Chromatography Chemistry media_common.quotation_subject Standard normal variate Biochemistry Least squares Analytical Chemistry Data set Transformation (function) Erigeron breviscapus Discriminant Principal component analysis Environmental Chemistry Quality (business) Spectroscopy media_common
Zdroj:	Analytica Chimica Acta. 514:69-77
ISSN:	0003-2670
DOI:	10.1016/j.aca.2004.03.041
Popis:	In this study, local least squares (LLS) and principal component analysis (PCA) were applied to deal with the disturbances in a data set of chromatographic fingerprints after necessary data transformations. It has been demonstrated that PCA with standard normal variate (SNV) transformation of data led to meaningful classification of 33 different Erigeron breviscapus herbal samples. The result was also corroborated by variance squares discriminant method. The quality of herbal objects was further evaluated, and the causes of this fact have been explained from a chemical point of view. At the same time, it implied an idea for qualitative evaluation of the herbal objects with a common class pattern of chromatographic fingerprints.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::182b01306b25dd1fc3e03b3d22eaaf42 https://doi.org/10.1016/j.aca.2004.03.041 Zobrazit plný text záznamu Full Text from ScienceDirect