Linked Life Data

16499914

Source:http://linkedlifedata.com/resource/pubmed/id/16499914

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2006-3-13
pubmed:abstractText
In order to develop a high-throughput screening method for the nitrogen monoxide metabolites, nitrite and nitrate, in biological fluids, we have investigated the simultaneous determination of these metabolites using microchip capillary electrophoresis (MCE). In this study, the control of applied voltage to obtain higher sensitivity by increasing the sample injection volume was investigated. Also, the improvement of reproducibility by correcting the injection volume using the internal standard was investigated. By increasing the sample volume, the limits of detection achieved for nitrite and nitrate were 24 and 12 microM, respectively. Because we used a 10-fold diluted sample when detecting nitrite and nitrate in human serum, it was necessary to increase the sensitivity by a factor of 10-50. The run-to-run and day-to-day relative standard deviations achieved were improved to less than 10% by using an internal standard to correct the injection volume. Moreover, we obtained successful separation of nitrite and nitrate in spiked human serum within 6.5 s under optimum analytical conditions. As a result, although it is necessary to obtain greater sensitivity, it was concluded that determination of the amount of NO metabolites in biological fluids using MCE is possible.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0021-9673
pubmed:author
pubmed:issnType
Print
pubmed:day
24
pubmed:volume
1109
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
174-8
pubmed:dateRevised
2009-1-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
High-throughput nitric oxide assay in biological fluids using microchip capillary electrophoresis.
pubmed:affiliation
Human Stress Signal Research Center (HSS), National Institute of Advanced Industrial Science and Technology, (AIST), 1-8-31 Midorigaoka, Ikeda, Osaka 563-8577, Japan.
pubmed:publicationType
Journal Article