Linked Life Data

16962124

Source:http://linkedlifedata.com/resource/pubmed/id/16962124

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2006-12-5
pubmed:abstractText
Pretreatments of chromatographic fingerprints are important for quality control of herbal medicines and they include data correction and data transformation. The data correction can reduce the variations of experimental procedures, and data transformation can put different weights on the different parts of the fingerprints. In this paper, a new target peak alignment (TPA) procedure has been proposed to correct the retention time shifts, multiplicative scattering correction (MSC) has been introduced for response correction. Then the similarity of the fingerprints with mean and median fingerprints is used to evaluate the quality of herbal medicines (HMs). Furthermore, different data transformation methods with kernel principal component analysis (PCA) have been applied to the data and their effects were discussed. The proposed approaches have been demonstrated by the essential oils data set of a herbal medicine, named Houttuynia cordata (HC), containing samples from different geographic origins. The experimental results indicate that the proposed approaches may be helpful in the quality control of herbal medicines by fingerprints.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0021-9673
pubmed:author
pubmed:issnType
Print
pubmed:day
17
pubmed:volume
1134
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
253-9
pubmed:dateRevised
2009-1-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Pretreatments of chromatographic fingerprints for quality control of herbal medicines.
pubmed:affiliation
Department of Analytical Chemistry and Pharmaceutical Technology, VICIM Partner, Vrije Universiteit Brussel-VUB, Laarbeeklaan 103, B-1090, Brussels, Belgium. Chengjian.xu@polyu.edu.hk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't