Improvements in Similarity Algorithms Based on Similarity System Theory Improvements in Similarity Algorithms Based on Similarity System Theory

For solving the problem that common similarity algorithms are insensitive to the relative differences of different chromatographic fingerprints data, this paper improved the algorithms of improved extent similarity, which named new improved extent similarity. It was confirmed that new improved exten...

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Vydané v:Fēnxī huàxué Ročník 38; číslo 2; s. 253 - 257
Hlavní autori: ZHAN, Xue-Yan, SHI, Xin-Yuan, ZHAN, Xiao-Ri, WANG, Yun, QIAO, Yan-Jiang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: 01.02.2010
Predmet:
Algorithms
Chromatography
Computer simulation
Deviation
Fingerprints
Fluctuation
Quality control
Similarity
Tablets
Traditional chinese medicine
ISSN:0253-3820
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Shrnutí:For solving the problem that common similarity algorithms are insensitive to the relative differences of different chromatographic fingerprints data, this paper improved the algorithms of improved extent similarity, which named new improved extent similarity. It was confirmed that new improved extent similarity could distinguish the samples with the same total difference and different distribution of relative differences, by applying the similarity algorithm to simulated data and the chromatographic fingerprints of nine batches Ruku-aixiao tablets. New improved extent similarity could reflect the relative differences of peak areas more sensitively when the relative differences of common peak areas was less than 100%. The result indicates that new improved extent similarity can reflect the large deviation from the established proportion of components, which can be applied to the control of the fluctuation of the established proportion of effective components and the process quality control of Traditional Chinese Medicine.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0253-3820
DOI:10.3724/SP.J.1096.2010.00253