Linked Life Data

20437229

Source:http://linkedlifedata.com/resource/pubmed/id/20437229

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2010-6-16
pubmed:abstractText
Knowledge of the presence of micropollutants such as pharmaceuticals, in coastal areas, is very limited; therefore, the main objective of this study was to optimize and validate a new analytical method for the quantitative analysis of 13 multiclass pharmaceuticals in seawater. Target compounds included antibiotics, non-steroidal anti-inflammatory drugs, beta-blockers, lipid regulators and one psychiatric drug. A combination of solid-phase extraction and liquid chromatography coupled with multiple mass spectrometry enabled their detection at the low nanogram per litre level. The limits of quantification varied between 1 and 50 ng L(-1), for most components the linearities were more than 0.99 and the recoveries obtained in seawater (95-108%) were satisfactory. This method was applied to seawater and estuarine water samples collected in the Belgian coastal zone, to assess the prevalence of common pharmaceuticals in this marine environment. Seven pharmaceuticals, including compounds of which the presence in marine environments had not been reported earlier, were detected, with salicylic acid and carbamazepine being the most abundant, in concentrations up to 855 ng L(-1).
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1618-2650
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
397
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1797-808
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Validation and application of an LC-MS/MS method for the simultaneous quantification of 13 pharmaceuticals in seawater.
pubmed:affiliation
Faculty of Veterinary Medicine, Research group of Veterinary public Health and Zoonoses, Laboratory of Chemical Analysis, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.
pubmed:publicationType
Journal Article, Evaluation Studies