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A snapshot of illicit drug use in Sweden acquired through sewage water analysis

Östman, Marcus, 1987- (author)
Umeå universitet,Kemiska institutionen
Fick, Jerker (author)
Umeå universitet,Kemiska institutionen
Näsström, Elin (author)
Umeå universitet,Kemiska institutionen
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Lindberg, Richard (author)
Umeå universitet,Kemiska institutionen
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 (creator_code:org_t)
Elsevier BV, 2014
2014
English.
In: Science of the Total Environment. - : Elsevier BV. - 0048-9697 .- 1879-1026. ; 472, s. 862-871
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Analytical measurements of sewage water have been used many times to estimate the consumption of specific drugs in an area. This study measured a large number of illicit drugs and metabolites (>30) at a large number of sewage treatment plants (STPs) distributed across Sweden. Twenty-four illicit and prescription drugs, classified as narcotic substances in Sweden, and seven selected metabolites were included in the study. A 24 hour composite sample of incoming sewage water was collected from 33 different municipalities at various geographic locations across Sweden. Species were analyzed using an on-line solid-phase extraction-liquid chromatography electrospray tandem mass spectrometry method. The method proved to be rapid with minimum need for sample work up and was able to detect 13 compounds above their respective limits of quantification. The results for all compounds were presented as per capita loads. Multivariate data analysis was used to relate drug consumption to geographical location and/or population of cities. The results showed that geographical differences in drug consumption were apparent across the country. For the narcotic pharmaceuticals, the geographical differences suggested by the multivariate model were supported by prescription statistics. (C) 2013 Elsevier B.V. All rights reserved.

Subject headings

NATURVETENSKAP  -- Kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences (hsv//eng)

Keyword

Illicit drugs
Wastewater
Analysis
LC-MS/MS
Multivariate data analysis
Sweden

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ref (subject category)
art (subject category)

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