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Chemometric approach to validating faecal sterols as source tracer for faecal contamination in water.


Citation

Saim, Norashikin and Osman, Rozita and Abg Spian, Dayang Ratena Sari and Jaafar, Mohd Zuli and Juahir, Hafizan and Abdullah, Md Pauzi and Ab Ghani, Fuzziawati (2009) Chemometric approach to validating faecal sterols as source tracer for faecal contamination in water. Water Research, 43 (20). pp. 5023-5030. ISSN 0043-1354

Abstract

Faecal sterols detection is a promising method for identifying sources of faecal pollution. In this study, faecal contamination in water samples from point source (sewage treatment plants, chicken farms, quail farms and horse stables) was extracted using the solid phase extraction (SPE) technique. Faecal sterols (coprostanol, cholesterol, stigmasterol, β-sitosterol and stigmastanol) were selected as parameters to differentiate the source of faecal pollution. The results indicated that coprostanol, cholesterol and β-sitosterol were the most significant parameters that can be used as source tracers for faecal contamination. Chemometric techniques, such as cluster analysis, principal component analysis and discriminant analysis were applied to the data set on faecal contamination in water from various pollution sources in order to validate the faecal sterols’ profiles. Cluster analysis generated three clusters: coprostanol was in cluster 1, cholesterol and β-sitosterol formed cluster 2, while cluster 3 contained stigmasterol and stigmastanol. Discriminant analysis suggested that coprostanol, cholesterol and β-sitosterol were the most significant parameters to discriminate between the faecal pollution source. The use of chemometric techniques provides useful and promising indicators in tracing the source of faecal contamination.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Environmental Studies
DOI Number: https://doi.org/10.1016/j.watres.2009.08.052
Publisher: Elsevier
Keywords: Sterols; Faecal contamination; Solid phase extraction; Principal component analysis; Cluster analysis.
Depositing User: Khairil Ridzuan Khahirullah
Date Deposited: 06 Nov 2013 05:03
Last Modified: 06 Nov 2013 05:03
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.watres.2009.08.052
URI: http://psasir.upm.edu.my/id/eprint/13583
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