Linked Life Data

17205734

Source:http://linkedlifedata.com/resource/pubmed/id/17205734

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2007-1-8
pubmed:abstractText
A method for determining the artificial bezoar powder in bezoar powder using near-infrared (NIR) diffuse reflectance spectrometry was proposed in the present paper. The method was based on support vector machine (SVM). The calibration set was set up by adding unequal artificial bezoar powder to the bezoar powder (content range: 0%-100% ) and collecting the NIR spectrum of the samples in the wave number range of 4000-10000 cm(-1). The processing algorithm was wavelet transform with first and second derivatives. A mathematical model with support vector machine was established. The model was checked with leave one method. The sum of the square of the relative prediction error was 0.00135. This method is reliable and can be used to control the quality of bezoar powder.
pubmed:language
chi
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1000-0593
pubmed:author
pubmed:issnType
Print
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1842-5
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
[Determination of the artificial bezoar powder in bezoar powder by near-infrared spectrometry and support vector machine].
pubmed:affiliation
Beijing University of Chinese Medicinal and Pharmaceutical Sciences, Beijing 100102, China.
pubmed:publicationType
Journal Article, English Abstract