Literature DB >> 24229080

Evidence and recommendations to support the use of a novel passive water sampler to quantify antibiotics in wastewaters.

Chang-Er Chen1, Hao Zhang, Guang-Guo Ying, Kevin C Jones.   

Abstract

A novel passive water sampler (diffusive gradients in thin-films for organics, o-DGT) was previously developed and successfully tested in the laboratory, but has not yet been validated in the field. Here, o-DGT samplers were deployed in the influent and effluent of a typical UK wastewater treatment plant (WWTP); the influent was also sampled with a conventional automatic sampler (Auto) and by grab (Grab) sampling. All the samples were analyzed by LC-MS/MS for 40 target antibiotics (including 16 sulfonamides (SAs), 12 fluoroquinolones, 6 macrolides, 2 ionophores, 2 diaminopyimidines, 1 aminocoumarin, and 1 lincosamide). The diffusion coefficients (D) of these antibiotics in o-DGT, measured in the laboratory, ranged from 0.58 × 10(-06) to 6.24 × 10(-06) cm(2) s(-1). The derived surface area normalized sampling rates (RS/A, 0.54-5.74 mL d(-1) cm(-2)) were comparable with those for another passive sampler called POCIS. Fourteen antibiotics were detected in the actively sampled water samples, with 10 of the 14 detected in o-DGT devices deployed for more than 7 days. Most of the antibiotics detected in o-DGT, except sulfapyridine, were continually accumulated by o-DGT for ~10 days. Deployment for 7 days is recommended to integrate ambient concentrations over time, without risks of reaching capacity and significant biofouling. Diffusive boundary layer (DBL) thickness had less effect on the o-DGT measurement than reported for other passive samplers. The comparison between o-DGT and Auto and Grab samplings showed that o-DGT was more efficient in terms of cost, time, and labor. This study demonstrates for the first time in a real environment that o-DGT is an effective tool for the routine monitoring of antibiotics in wastewaters and provides a powerful approach to studying their occurrence, fate, and behavior in the environment.

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Year:  2013        PMID: 24229080     DOI: 10.1021/es402662g

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  6 in total

1.  The performance of diffusive gradient in thin film probes for the long-term monitoring of trace level total mercury in water.

Authors:  Seam Noh; Young-Hee Kim; Hyuk Kim; Kwang-Seol Seok; Minho Park; Mark Xavier Bailon; Yongseok Hong
Journal:  Environ Monit Assess       Date:  2019-12-26       Impact factor: 2.513

2.  Poly- and Perfluorinated Alkyl Substances in Air and Water from Dhaka, Bangladesh.

Authors:  Maya E Morales-McDevitt; Matthew Dunn; Ahsan Habib; Simon Vojta; Jitka Becanova; Rainer Lohmann
Journal:  Environ Toxicol Chem       Date:  2021-12-22       Impact factor: 4.218

3.  Analyzing the uncertainty of diffusive gel-based passive samplers as tools for evaluating the averaged contamination of surface water by organic pollutants.

Authors:  Angel Belles; Claire Alary; Nellaïdeve Laguerre; Christine Franke
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-11       Impact factor: 4.223

4.  An In Situ Analyzer for Two-Dimensional Fe(II) Distribution in Sediment Pore Water Based on Ferrozine Coloration and Computer Imaging Densitometry.

Authors:  Mingjie Ma; Honghui Wang; Jin Xu; Yongming Huang; Dongxing Yuan; Xiaochang Zhang; Qingyong Song
Journal:  ACS Omega       Date:  2020-12-01

5.  Development and applications of diffusive gradients in thin films for monitoring pharmaceuticals in surface waters.

Authors:  Hongmei Cao; Qingwei Bu; Qingshan Li; Xiaohong Gao; Huaijun Xie; Wenwen Gong; Xiaoxiao Wang; Lei Yang; Jianfeng Tang
Journal:  Environ Pollut       Date:  2022-08-18       Impact factor: 9.988

Review 6.  Improving Toxicity Assessment of Pesticide Mixtures: The Use of Polar Passive Sampling Devices Extracts in Microalgae Toxicity Tests.

Authors:  Sandra Kim Tiam; Vincent Fauvelle; Soizic Morin; Nicolas Mazzella
Journal:  Front Microbiol       Date:  2016-09-09       Impact factor: 5.640

  6 in total

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