Linked Life Data

21611666

Source:http://linkedlifedata.com/resource/pubmed/id/21611666

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
13
pubmed:dateCreated
2011-6-15
pubmed:abstractText
Malondialdehyde (MDA) has become a well-established biomarker for oxidative stress. The most commonly used way to determine urinary MDA levels is the thiobarbituric acid (TBA) assay, which suffers from several drawbacks. In this manuscript, we describe a novel derivatization strategy for the highly sensitive and selective fluorescence-based determination of MDA in urinary samples. The methodology is based on the mild labeling of MDA with 2-aminoacridone, which can be carried out in aqueous citrate buffer at 40 °C, yielding a highly fluorescent substance. No further sample preparation than mixing with the necessary chemicals is necessary. The formed MDA derivative can conveniently be separated from the label itself and matrix constituents by gradient LC in less than 5 minutes on a cyano-based reversed-phase material. The method was validated with respect to matrix effects, linearity, selectivity and sensitivity (values as low as 1.8 nM for the LOD and 5.8 nM for the LOQ could be achieved). Standard addition quantitation was applied for the determination of MDA in human urine samples. Additionally, the protocol was applied to the measurement of a stability indicating analysis of MDA in urine at different storage conditions.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1364-5528
pubmed:author
pubmed:issnType
Electronic
pubmed:day
7
pubmed:volume
136
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2763-9
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Mild and selective labeling of malondialdehyde with 2-aminoacridone: assessment of urinary malondialdehyde levels.
pubmed:affiliation
VU University Amsterdam, Faculty of Sciences, BioMolecular Analysis Group, The Netherlands. m.a.giera@vu.nl
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't