Literature DB >> 28284644

Suitability of pharmaceuticals and personal care products (PPCPs) and artificial sweeteners (ASs) as wastewater indicators in the Pearl River Delta, South China.

Yuan-Yuan Yang1, Wang-Rong Liu2, You-Sheng Liu3, Jian-Liang Zhao3, Qian-Qian Zhang3, Min Zhang3, Jin-Na Zhang3, Yu-Xia Jiang3, Li-Juan Zhang4, Guang-Guo Ying5.   

Abstract

Wastewater indicator is a useful tool for evaluating the wastewater impact on natural water, but there is little information about the suitability of wastewater indicators for different regions. This study aimed to select suitable wastewater indicators in the Pearl River Delta region, south China by screening a range of wastewater related organic compounds. The screening campaign was carried out by investigating the occurrence and removal efficiencies of 93 pharmaceuticals and personal care products (PPCPs) and 5 artificial sweeteners (ASs) in nine wastewater treatment plants (WWTPs) located in the region, and the occurrence of these target compounds in the contaminated and clean surface water of the Pearl River. An ideal wastewater indicator should be hydrophilic, source-specific for domestic wastewater, ubiquitous in contaminated surface water with detection frequency (DF) >80% and absent in background water samples. For liable indicators, high removal rates (>90%) should be observed in WWTPs and they should be detected in all the influent samples at concentrations fifty times higher than their limits of quantification. For conservative indicators, low removal rates (<50%) should be observed in WWTPs and they should be detected in all the effluent samples at concentrations fifty times higher than their limits of quantification. Based on the above criteria, sucralose and fluconazole were selected as conservative indicators in the region, while cyclamate, saccharin, methyl paraben, ethyl paraben, propyl paraben, paracetamol, salicylic acid and caffeine were selected as liable indicators.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial sweeteners; Micropollutants; PPCPs; Pearl River Delta; Wastewater indicator; Wastewater treatment plant

Year:  2017        PMID: 28284644     DOI: 10.1016/j.scitotenv.2017.03.001

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Environmental exposure of anthropogenic micropollutants in the Prut River at the Romanian-Moldavian border: a snapshot in the lower Danube river basin.

Authors:  Zaharie Moldovan; Olivian Marincas; Igor Povar; Tudor Lupascu; Philipp Longree; Jelena Simovic Rota; Heinz Singer; Alfredo C Alder
Journal:  Environ Sci Pollut Res Int       Date:  2018-09-05       Impact factor: 4.223

2.  Occurrence, distribution, and environmental risk of four categories of personal care products in the Xiangjiang River, China.

Authors:  Jing Lu; Haipu Li; Zhoufei Luo; Huiju Lin; Zhaoguang Yang
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-26       Impact factor: 4.223

3.  Monitoring survey of caffeine in surface waters (Lis River) and wastewaters located at Leiria Town in Portugal.

Authors:  Paula Paíga; Sandra Ramos; Sandra Jorge; Jaime Gabriel Silva; Cristina Delerue-Matos
Journal:  Environ Sci Pollut Res Int       Date:  2019-09-14       Impact factor: 4.223

4.  Removal of artificial sweeteners and their effects on microbial communities in sequencing batch reactors.

Authors:  Shaoli Li; Jinju Geng; Gang Wu; Xingsheng Gao; Yingying Fu; Hongqiang Ren
Journal:  Sci Rep       Date:  2018-02-21       Impact factor: 4.379

5.  Artificial Sweeteners Negatively Regulate Pathogenic Characteristics of Two Model Gut Bacteria, E. coli and E. faecalis.

Authors:  Aparna Shil; Havovi Chichger
Journal:  Int J Mol Sci       Date:  2021-05-15       Impact factor: 5.923

Review 6.  A Review of the Environmental Fate and Effects of Acesulfame-Potassium.

Authors:  Kerry Belton; Edward Schaefer; Patrick D Guiney
Journal:  Integr Environ Assess Manag       Date:  2020-04-10       Impact factor: 2.992

  6 in total

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