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Ultra high performance liquid chromatography tandem mass spectrometry for rapid analysis of trace organic contaminants in water

Overview of attention for article published in BMC Chemistry, June 2013
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Title
Ultra high performance liquid chromatography tandem mass spectrometry for rapid analysis of trace organic contaminants in water
Published in
BMC Chemistry, June 2013
DOI 10.1186/1752-153x-7-104
Pubmed ID
Authors

Tarun Anumol, Sylvain Merel, Bradley O Clarke, Shane A Snyder

Abstract

The widespread utilization of organic compounds in modern society and their dispersion through wastewater have resulted in extensive contamination of source and drinking waters. The vast majority of these compounds are not regulated in wastewater outfalls or in drinking water while trace amounts of certain compounds can impact aquatic wildlife. Hence it is prudent to monitor these contaminants in water sources until sufficient toxicological data relevant to humans becomes available. A method was developed for the analysis of 36 trace organic contaminants (TOrCs) including pharmaceuticals, pesticides, steroid hormones (androgens, progestins, and glucocorticoids), personal care products and polyfluorinated compounds (PFCs) using a single solid phase extraction (SPE) technique with ultra-high performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS). The method was applied to a variety of water matrices to demonstrate method performance and reliability.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 21%
Student > Master 27 19%
Student > Bachelor 14 10%
Student > Doctoral Student 13 9%
Researcher 13 9%
Other 19 13%
Unknown 27 19%
Readers by discipline Count As %
Environmental Science 36 25%
Chemistry 27 19%
Engineering 11 8%
Biochemistry, Genetics and Molecular Biology 6 4%
Agricultural and Biological Sciences 6 4%
Other 19 13%
Unknown 38 27%