Could wastewater analysis be a useful tool for China?: a review

Analysing wastewater samples is an innovative approach that overcomes many limitations of traditional surveys to identify and measure a range of chemicals that were consumed by or exposed to people living in a sewer catchment area. First conceptualised in 2001, much progress has been made to make wa...

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Main Authors: Gao, Jianfa, O'Brien, Jake, Lai, Foon Yin, van Nuijs, Alexander L.N., He, Jun, Mueller, Jochen F., Xu, Jingsha, Thai, Phong K.
Format: Article
Language:English
Published: Elsevier 2015
Subjects:
Online Access:https://eprints.nottingham.ac.uk/55487/
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author Gao, Jianfa
O'Brien, Jake
Lai, Foon Yin
van Nuijs, Alexander L.N.
He, Jun
Mueller, Jochen F.
Xu, Jingsha
Thai, Phong K.
author_facet Gao, Jianfa
O'Brien, Jake
Lai, Foon Yin
van Nuijs, Alexander L.N.
He, Jun
Mueller, Jochen F.
Xu, Jingsha
Thai, Phong K.
author_sort Gao, Jianfa
building Nottingham Research Data Repository
collection Online Access
description Analysing wastewater samples is an innovative approach that overcomes many limitations of traditional surveys to identify and measure a range of chemicals that were consumed by or exposed to people living in a sewer catchment area. First conceptualised in 2001, much progress has been made to make wastewater analysis (WWA) a reliable and robust tool for measuring chemical consumption and/or exposure. At the moment, the most popular application of WWA, sometimes referred as sewage epidemiology, is to monitor the consumption of illicit drugs in communities around the globe, including China. The approach has been largely adopted by law enforcement agencies as a device to monitor the temporal and geographical patterns of drug consumption. In the future, the methodology can be extended to other chemicals including biomarkers of population health (e.g. environmental or oxidative stress biomarkers, lifestyle indicators or medications that are taken by different demographic groups) and pollutants that people are exposed to (e.g. polycyclic aromatic hydrocarbons, perfluorinated chemicals, and toxic pesticides). The extension of WWA to a huge range of chemicals may give rise to a field called sewage chemical-information mining (SCIM) with unexplored potentials. China has many densely populated cities with thousands of sewage treatment plants which are favourable for applying WWA/SCIM in order to help relevant authorities gather information about illicit drug consumption and population health status. However, there are some prerequisites and uncertainties of the methodology that should be addressed for SCIM to reach its full potential in China.
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spelling nottingham-554872018-11-08T13:29:27Z https://eprints.nottingham.ac.uk/55487/ Could wastewater analysis be a useful tool for China?: a review Gao, Jianfa O'Brien, Jake Lai, Foon Yin van Nuijs, Alexander L.N. He, Jun Mueller, Jochen F. Xu, Jingsha Thai, Phong K. Analysing wastewater samples is an innovative approach that overcomes many limitations of traditional surveys to identify and measure a range of chemicals that were consumed by or exposed to people living in a sewer catchment area. First conceptualised in 2001, much progress has been made to make wastewater analysis (WWA) a reliable and robust tool for measuring chemical consumption and/or exposure. At the moment, the most popular application of WWA, sometimes referred as sewage epidemiology, is to monitor the consumption of illicit drugs in communities around the globe, including China. The approach has been largely adopted by law enforcement agencies as a device to monitor the temporal and geographical patterns of drug consumption. In the future, the methodology can be extended to other chemicals including biomarkers of population health (e.g. environmental or oxidative stress biomarkers, lifestyle indicators or medications that are taken by different demographic groups) and pollutants that people are exposed to (e.g. polycyclic aromatic hydrocarbons, perfluorinated chemicals, and toxic pesticides). The extension of WWA to a huge range of chemicals may give rise to a field called sewage chemical-information mining (SCIM) with unexplored potentials. China has many densely populated cities with thousands of sewage treatment plants which are favourable for applying WWA/SCIM in order to help relevant authorities gather information about illicit drug consumption and population health status. However, there are some prerequisites and uncertainties of the methodology that should be addressed for SCIM to reach its full potential in China. Elsevier 2015-01-01 Article PeerReviewed application/pdf en cc_by_nc_nd https://eprints.nottingham.ac.uk/55487/1/2015-Could%20wastewater%20analysis%20be%20a%20useful%20tool%20for%20China.pdf Gao, Jianfa, O'Brien, Jake, Lai, Foon Yin, van Nuijs, Alexander L.N., He, Jun, Mueller, Jochen F., Xu, Jingsha and Thai, Phong K. (2015) Could wastewater analysis be a useful tool for China?: a review. Journal of Environmental Sciences, 27 . pp. 70-79. ISSN 1001-0742 Drug consumption; Wastewater analysis; Biomarkers; Population health https://www.sciencedirect.com/science/article/pii/S1001074214002381?via%3Dihub doi:10.1016/j.jes.2014.09.025 doi:10.1016/j.jes.2014.09.025
spellingShingle Drug consumption; Wastewater analysis; Biomarkers; Population health
Gao, Jianfa
O'Brien, Jake
Lai, Foon Yin
van Nuijs, Alexander L.N.
He, Jun
Mueller, Jochen F.
Xu, Jingsha
Thai, Phong K.
Could wastewater analysis be a useful tool for China?: a review
title Could wastewater analysis be a useful tool for China?: a review
title_full Could wastewater analysis be a useful tool for China?: a review
title_fullStr Could wastewater analysis be a useful tool for China?: a review
title_full_unstemmed Could wastewater analysis be a useful tool for China?: a review
title_short Could wastewater analysis be a useful tool for China?: a review
title_sort could wastewater analysis be a useful tool for china?: a review
topic Drug consumption; Wastewater analysis; Biomarkers; Population health
url https://eprints.nottingham.ac.uk/55487/
https://eprints.nottingham.ac.uk/55487/
https://eprints.nottingham.ac.uk/55487/