Linked Life Data

18497155

Source:http://linkedlifedata.com/resource/pubmed/id/18497155

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2008-5-23
pubmed:abstractText
Based on the theory of stochastic resonance, a new algorithm was presented to enhance the signal-to-noise ratio (SNR) of weak HPLC/UV signals of triclocarban in water samples with a new method for optimizing the system parameters. The method was applied to experimental weak signals of HPLC/ UV, which was embedded in the noise background, and the SNR was enhanced greatly. The algorithm was employed to detect triclocarban residue in water with solid-phase extraction--high-performance liquid chromatography. The limit of detection and the limit of quantification were improved from 10 ng L(-1) and 50 ng L(-1) to 1 ng L(-1) and 5 ng L(9-1), respectively. The results showed an excellent quantitative relationship between concentrations and chromatographic responses.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0013-936X
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
42
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2988-91
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Detection of trace triclocarban in water sample using solid-phase extraction-liquid chromatography with stochastic resonance algorithm.
pubmed:affiliation
Center for Instrumental Analysis, China Pharmaceutical University (Key Laboratory of Drug Quality Control and Pharmacovigilance, Ministry of Education), Nanjing 210009, China.
pubmed:publicationType
Journal Article