Application of chemometrics in understanding the spatial distribution of human pharmaceuticals in surface water View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-11

AUTHORS

Najat Ahmed Al-Odaini, Mohamad Pauzi Zakaria, Muniirah Abdul Zali, Hafizan Juahir, Mohamad Ismail Yaziz, Salmijah Surif

ABSTRACT

The growing interest in the environmental occurrence of veterinary and human pharmaceuticals is essentially due to their possible health implications to humans and ecosystem. This study assesses the occurrence of human pharmaceuticals in a Malaysian tropical aquatic environment taking a chemometric approach using cluster analysis, discriminant analysis and principal component analysis. Water samples were collected from seven sampling stations along the heavily populated Langat River basin on the west coast of peninsular Malaysia and its main tributaries. Water samples were extracted using solid-phase extraction and analyzed using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) for 18 pharmaceuticals and one metabolite, which cover a range of six therapeutic classes widely consumed in Malaysia. Cluster analysis was applied to group both pharmaceutical pollutants and sampling stations. Cluster analysis successfully clustered sampling stations and pollutants into three major clusters. Discriminant analysis was applied to identify those pollutants which had a significant impact in the definition of clusters. Finally, principal component analysis using a three-component model determined the constitution and data variance explained by each of the three main principal components. More... »

PAGES

6735-6748

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10661-011-2454-3

DOI

http://dx.doi.org/10.1007/s10661-011-2454-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024484995

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22193630


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N-Triples is a line-based linked data format ideal for batch operations.

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10661-011-2454-3'


 

This table displays all metadata directly associated to this object as RDF triples.

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