Linked Life Data

19333581

Source:http://linkedlifedata.com/resource/pubmed/id/19333581

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2009-5-5
pubmed:abstractText
A method is proposed for monitoring the radix rehmanniae proparate processing procedure and determining the endpoint of the process using attenuated total reflectance (ATR) FT-IR through nonnegative independent component analysis (ICA). In the proposed method, ATR FT-IR spectra of the samples were firstly measured at different steaming periods. Then, nonnegative ICA was used for direct estimation of the feature spectra of the pure components in the mixture without pre-separation and other prior information. The estimated independent components (ICs) and their variation of the relative concentrations were used to characterize the processing procedure and determine the endpoint. The results show that the estimated three ICs are consistent with that of the chemical components in the mixtures, i.e. catalpol/rehmaionoside, glucose, and other compounds that nearly keep invariant during the processing procedure. The endpoint determined by the IR-ICA method is 15 h, which was located in the range obtained by expert sensory analysis, whereas the endpoint determined by the traditional sensory analysis is 14-17 h and even 14-20 h, which showed the significant deviation of the endpoints determined by different operators.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1618-2650
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
394
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
827-33
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Characterization of radix rehmanniae processing procedure using FT-IR spectroscopy through nonnegative independent component analysis.
pubmed:affiliation
Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou, 450002, China. gqwang@zzuli.edu.cn
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't