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タイトル: Clustering analysis of Keishibukuryogan formulas by use of self-organizing maps
著者: Satomi, Hisanori
Mori, Yoshikazu
Makino, Bunsho
Nakai, Youichiro
Takeda, Shuichi
Aburada, Masaki
Miyamoto, Kenichi link image
宮本, 謙一
発行日: 2010年11月
出版社(者): Pharmaceutical Society of Japan = 日本薬学会
雑誌名: Chemical and Pharmaceutical Bulletin
ISSN: 0009-2363
巻: 58
号: 11
開始ページ: 1497
終了ページ: 1501
キーワード: Fingerprint
High-performance liquid chromatography
Kampo medicine
Keishibukuryogan
Quality control
Self-organizing map
抄録: Kampo medicines, traditional herbal medicines in Japan, are comprised of multiple botanical raw materials that contain a number of pharmacologically active substances. Conventionally, the quality control of kampo medicines has been performed by analyzing the contents of two or three representative components. However, it is not sufficient to check quality only with a limited number of specific components. We performed HPLC of 287 lots of keishibukuryogan formulas, calculated the areas of 11 components on chromatograms as feature values and made a cluster analysis using self-organizing maps (SOMs). We verified the precision (repeatability and intermediate precision) of clustering results when using the same samples and successfully established an clustering method using SOMs that is capable of precisely clustering differences in HPLC-fingerprints among pharmaceutical manufacturers, differences in HPLC-fingerprints due to the combination ratios of botanical raw materials, and differences in HPLC-fingerprints due to changes in component contents caused by time-course deterioration. Consequently, we could confirm that this method is useful for controlling the quality of multiple component drugs and analyzing quality differences. © 2010 Pharmaceutical Society of Japan.
DOI: 10.1248/cpb.58.1497
URI: http://hdl.handle.net/2297/25780
関連URI: http://www.jstage.jst.go.jp/article/cpb/58/11/58_1497/_article
資料種別: Journal Article
権利関係: (c) 2010 The Pharmaceutical Society of Japan
版表示: publisher
出現コレクション:1. 査読済論文

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