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Chang W, Xu SD, Liu T, Wu LL, Liu ST, Liu G, Sun J, Luo YX, Gao L, Li H, Lu Q, Yuan Z, Liu KY, Zhou H, Zhang XD, Huang YC, Xiong YW, Zhu HL, Xu DX, Wang H. Risk prioritization and experimental validation of per- and polyfluoroalkyl substances (PFAS) in Chaohu Lake: Based on nontarget and target analyses. JOURNAL OF HAZARDOUS MATERIALS 2025; 492:138179. [PMID: 40209414 DOI: 10.1016/j.jhazmat.2025.138179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2024] [Revised: 04/02/2025] [Accepted: 04/03/2025] [Indexed: 04/12/2025]
Abstract
Pollution caused by per- and polyfluoroalkyl substances (PFAS) in surface water has become a global health concern. Nevertheless, due to the continuous production of emerging PFAS, the pollution levels and hazards of several precursors and their metabolites have not been evaluated. In this study, Chaohu Lake was selected as a representative freshwater lake to obtain a deeper understanding of the profiles of emerging PFAS in surface water. Nontarget screening tentatively identified 49 PFAS with a confidence level of ≥L3, which included 12 legacy PFAS and 37 emerging PFAS. Based on a target analysis of 57 PFAS, 18 PFAS were detected, with at least 10 PFAS detected in every water sample, indicating the widespread presence of PFAS in Chaohu Lake. Moreover, a risk-based PFAS priority model was used to prioritize the PFAS in Chaohu Lake. Remarkably, perfluoromethanesulfonic acid (PFMeS) exhibited the highest level of risk index among the intersection PFAS identified by the nontarget screening of Chaohu Lake water and human serum. For validation, the cytotoxicity of PFMeS was further evaluated in vitro. This study considerably expands our understanding of the occurrence, environmental risk, and cytotoxicity of PFAS in Chaohu Lake and also provides an experimentally validated basis for future research on novel contaminants in a water environment.
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Affiliation(s)
- Wei Chang
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Shen-Dong Xu
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Ting Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Lan-Lan Wu
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Si-Ting Liu
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Gang Liu
- Environmental Protection Monitoring Station, Anhui Provincial Lake Chaohu Administration, Chaohu 238000, China
| | - Jian Sun
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Ye-Xin Luo
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Lei Gao
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Hao Li
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Qi Lu
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Zhi Yuan
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Kai-Yong Liu
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Huan Zhou
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Xu-Dong Zhang
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China
| | - Yi-Chao Huang
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei 230032, China
| | - Yong-Wei Xiong
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei 230032, China
| | - Hua-Long Zhu
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei 230032, China
| | - De-Xiang Xu
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei 230032, China
| | - Hua Wang
- Department of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei 230032, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei 230032, China.
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2
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Majid S, Reus A, Hoondert R, Blokker M, Dash A, Houtman C, Schriks M, Dingemans MML. A framework for evaluating less-than-lifetime exposures: advancing toxicological risk assessment for drinking water quality. Arch Toxicol 2025:10.1007/s00204-025-04061-9. [PMID: 40415114 DOI: 10.1007/s00204-025-04061-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2025] [Accepted: 04/14/2025] [Indexed: 05/27/2025]
Abstract
The increasing production and use of chemicals leads to a higher number of contaminants in (drinking) water sources, which poses significant challenges to those responsible for water quality. An important task for water companies and regulators is to ensure that (drinking) water quality does not compromise public health and confidence in water safety. A key component of this effort is toxicological risk assessment, which evaluates the safety of chemicals that may be present in water systems. Although there has been considerable progress in risk assessment methods, there is currently a lack of a clear approach to the risk assessment of chemicals in (drinking) water for which concentrations vary over time. In the current study, methods for the assessment of less than lifetime exposure (LTL) are presented that are particularly applicable for substances with time-varying concentrations in (drinking) water. The presented framework is a decision tree that helps experts to decide whether a measured or predicted LTL exposure to a chemical can lead to adverse health effects. To develop these methods, we used existing knowledge and incorporated new developments in toxicological risk assessment. A case study illustrates the application of the proposed approaches in a realistic scenario. The method can be used by risk assessors as a tool to improve the understanding of human exposure to contaminants in (drinking) water and to inform risk-based monitoring. In addition, it enables customised investigations and responses that lead to a more nuanced view of water quality and its impact on public health.
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Affiliation(s)
- Sanah Majid
- KWR Water Research Institute, Nieuwegein, The Netherlands
| | - Astrid Reus
- KWR Water Research Institute, Nieuwegein, The Netherlands
| | | | - Mirjam Blokker
- KWR Water Research Institute, Nieuwegein, The Netherlands
| | - Amitosh Dash
- KWR Water Research Institute, Nieuwegein, The Netherlands
| | - Corine Houtman
- Het Waterlaboratorium, Haarlem, The Netherlands
- Amsterdam Institute for Life and Environment (A-LIFE), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Milou M L Dingemans
- KWR Water Research Institute, Nieuwegein, The Netherlands.
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
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3
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Huang Y, Liu C, Shao Y, Ma Y, Song S, Dong F, Zhang T. Enhanced ice slurry with low oxidant consumption for ultrafast in-situ removal of micropollutants sheltered in sediments of water supply pipelines. WATER RESEARCH 2025; 276:123256. [PMID: 39946946 DOI: 10.1016/j.watres.2025.123256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Revised: 01/25/2025] [Accepted: 02/08/2025] [Indexed: 03/03/2025]
Abstract
The cleaning of water supply pipelines represents an increasingly prevalent global practice with the aim of providing high-quality drinking water. Ice pigging, a widely-utilized pipe cleaning technique, can effectively remove substantial sediment sediments from pipe walls. During this process, micropollutants adsorbed to the sediments are inevitably released into the effluent, posing a potential threat to public health. Existing technologies can only address these micropollutants through various post-treatment methods. To improve pipeline cleaning efficiency and reduce costs, we have developed an enhanced ice slurry by adding a minute quantity of peroxymonosulfate (PMS) into the base ice slurry for ultrafast, in-situ removal of micropollutants within sediments. Comparative studies with the base ice slurry demonstrate a significant enhancement in the removal efficiency of the common micropollutant carbamazepine (CBZ) using the enhanced ice slurry. While the removal efficiency of CBZ ranged from 16 to 23 % with increasing NaCl content from 3 to 7 wt% over 10 min for the base ice slurry, nearly complete removal of CBZ was achieved within 1 min by introducing 10 μM PMS into the base ice slurry. The influence of operational parameters (e.g., PMS and Cl- concentrations, cleaning flow velocity) and pipeline characteristics (e.g., CBZ and Fe2+ concentrations, turbidity, pipe sediment) on CBZ removal efficiency was comprehensively examined for the enhanced ice slurry. The enhanced micropollutant removal process was mainly driven by active species such as hydroxyl and sulfate. Remarkably, chlorinated byproducts were scarcely detected during ice pigging, and the degradation products exhibited minimal ecotoxicity. With a cost of 0.16 Euro per cubic meter of cleaned pipe, the enhanced ice slurry presents a notable economic advantage over alternative methods. Overall, the enhanced ice slurry offers an environmentally friendly, cost-effective, and efficient solution for reducing micropollutants in water supply systems.
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Affiliation(s)
- Yujing Huang
- College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, PR China
| | - Chang Liu
- College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, PR China
| | - Yu Shao
- College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, PR China
| | - Yiyi Ma
- College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, PR China
| | - Shuang Song
- College of Environment, Zhejiang University of Technology, Hangzhou 310014, PR China
| | - Feilong Dong
- College of Environment, Zhejiang University of Technology, Hangzhou 310014, PR China.
| | - Tuqiao Zhang
- College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, PR China
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4
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Hernández-Tenorio R. Degradation pathways of sulfamethoxazole under phototransformation processes: A data base of the major transformation products for their environmental monitoring. ENVIRONMENTAL RESEARCH 2024; 262:119863. [PMID: 39214487 DOI: 10.1016/j.envres.2024.119863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 07/23/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024]
Abstract
Sulfamethoxazole (SMX) is frequently detected in wastewater and aquatic environments worldwide at concentrations from ng L-1 to μg L-1. Unfortunately, SMX is not completely removed in municipal wastewater treatment plants (WWTPs), thus, SMX and their transformation products (TPs) are discharged into aquatic environments, where can be transformed by phototransformation reactions. In this study, the phototransformation of SMX as well as generation of their major TPs under photolysis and photocatalysis processes was reviewed. SMX can be totally removed under photolysis and photocatalysis processes in aqueous solutions using simulated or natural radiation. Degradation pathways such as isomerization, hydroxylation, fragmentation, nitration, and substitution reactions were identified during the generation of the major TPs of SMX. Particularly, 26 TPs were considered for the creation of a data base of the major TPs of SMX generated under phototransformation processes. These 26 compounds could be used as reference during the SMX monitoring both wastewater and water bodies, using analytic methodologies such as target analysis and suspect screening. A data base of the major TPs of pharmaceuticals active compounds (PhACs) as SMX could help to implementation of best environmental monitoring programs for the study of the environmental risks both PhACs and their TPs with highest occurrence in aquatic environments.
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Affiliation(s)
- Rafael Hernández-Tenorio
- Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C., Sede Noreste, Vía de la Innovación 404, Autopista Monterrey-Aeropuerto Km 10, Parque PIIT, Apodaca, nuevo León, C.P. 66628, Mexico.
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5
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Zhu S, Xiao Y, Xia L, Li J, Lei S, Liu J, Liu L. Occurrence, spatiotemporal distribution, and health risk of antibiotics in the Wuhan section of the Yangtze River, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:64152-64170. [PMID: 39531106 DOI: 10.1007/s11356-024-35513-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Accepted: 11/01/2024] [Indexed: 11/16/2024]
Abstract
The occurrence, spatiotemporal changes, and health hazard of antibiotics in source water and finished water in the Wuhan section of the Yangtze River are not well understood. In this study, 43 source water and finished water samples were collected from 11 water plants in Wuhan in August 2021 and May 2022. Fifty-one antibiotics from eight categories were measured. A total of 41 antibiotics were detected in the source water samples, and 24 in the finished water samples. The total antibiotic concentration in source water ranged from 1.68 to 437.18 ng/L, which is significantly higher than that in finished water (2.04-87.25 ng/L). Sulfonamides and lincosamides were predominant, accounting for nearly 80% of the total antibiotic concentration. Lincomycin constituted nearly 30% of the total antibiotic concentration in the source water. In August 2021, the average total antibiotic concentration in source water was 107.12 ng/L, higher than in May 2022 (63.13 ng/L). Spatially, the total antibiotic concentrations in samples collected from the Han River, a tributary of the Yangtze River, were higher than those in the main stream of the Yangtze River. Ecological risk assessment indicated that the hazard posed by most antibiotics were negligible. Lincomycin potentially posed a high health hazard, and clarithromycin and roxithromycin posed a moderate hazard to infants.
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Affiliation(s)
- Sijia Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Yonghua Xiao
- Wuhan Centers for Disease Prevention and Control, Wuhan, Hubei, 430024, People's Republic of China
| | - Lu Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Jia Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Shengxi Lei
- Wuhan Britain-China School, Wuhan, Hubei, 430030, People's Republic of China
| | - Junling Liu
- Wuhan Centers for Disease Prevention and Control, Wuhan, Hubei, 430024, People's Republic of China
| | - Li Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China.
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6
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Alam R, Naznin M, Ardiati FC, Solihat NN, Anita SH, Purnomo D, Yanto DHY, Kim S. Targeted and non-targeted identification of dye and chemical contaminants in Loji River, Indonesia using FT-ICR-MS. CHEMOSPHERE 2024; 365:143324. [PMID: 39278327 DOI: 10.1016/j.chemosphere.2024.143324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 08/08/2024] [Accepted: 09/10/2024] [Indexed: 09/18/2024]
Abstract
This study utilized liquid chromatography (LC) alongside Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) to explore the dyes and chemical contaminants in Loji River, Indonesia. We tentatively identified a total of 655 contaminants at various confidence level, subsequently classifying them into 22 distinct categories. Of the 54 dyes we detected, 12 corresponded with entries in our specialized in-house database. These 12 dyes were further confirmed by reference standards, matching both retention time (RT) and MS/MS spectra. LC-FT-ICR MS data showed that dyes from printing batik and textile industries are key contributors to river pollution. Particularly noteworthy were two sample locations that displayed substantial contamination, predominantly from azoic and reactive dyes. Additionally, pharmaceuticals were identified as one of the most frequently occurring contaminants, underscoring the inadequacies in the area's sewage management. To corroborate these findings, we conducted physicochemical, phytotoxicity, and acute toxicity tests, all of which verified the harmful effects of the Loji River's water on both the local flora and human populations. Notably, water samples that tested positive for dye contamination exhibited elevated toxicity levels. To the best of our knowledge, this study is pioneering in its molecular-level investigation of dye contamination in Southeast Asian rivers. Our results accentuate the pressing need for both targeted and non-targeted screening methods to identify contaminants in the surface waters of developing nations.
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Affiliation(s)
- Rafiqul Alam
- Department of Chemistry, Kyungpook National University, Daegu, 41566, Republic of Korea
| | - Marufa Naznin
- Department of Chemistry, Kyungpook National University, Daegu, 41566, Republic of Korea
| | - Fenny Clara Ardiati
- Research Center for Applied Microbiology, National Research and Innovation Agency (BRIN), Bogor, 16911, Indonesia
| | - Nissa Nurfajrin Solihat
- Research Center for Biomass and Bioproducts, National Research and Innovation Agency (BRIN), Bogor, 16911, Indonesia
| | - Sita Heris Anita
- Research Center for Applied Microbiology, National Research and Innovation Agency (BRIN), Bogor, 16911, Indonesia
| | - Deni Purnomo
- Research Center for Biomass and Bioproducts, National Research and Innovation Agency (BRIN), Bogor, 16911, Indonesia
| | - Dede Heri Yuli Yanto
- Research Center for Applied Microbiology, National Research and Innovation Agency (BRIN), Bogor, 16911, Indonesia; Research Collaboration Center for Marine Biomaterials, Jatinangor, 45360, Indonesia.
| | - Sunghwan Kim
- Department of Chemistry, Kyungpook National University, Daegu, 41566, Republic of Korea; Mass Spectrometry Converging Research Center and Green-Nano Materials Research Center, Daegu, 41566, Republic of Korea.
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7
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Oliveira TMA, Mansano AS, Holanda CA, Pinto TS, Reis JB, Azevedo EB, Verbinnen RT, Viana JL, Franco TCRS, Vieira EM. Occurrence and Environmental Risk Assessment of Contaminants of Emerging Concern in Brazilian Surface Waters. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2024; 43:2199-2210. [PMID: 39073366 DOI: 10.1002/etc.5953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/13/2024] [Accepted: 06/18/2024] [Indexed: 07/30/2024]
Abstract
We investigated the occurrence and the environmental risk of eight contaminants of emerging concern (CECs; acetaminophen, naproxen, diclofenac, methylparaben, 17β-estradiol, sulfathiazole, sulfadimethoxine, and sulfamethazine) in three Brazilian water bodies, namely, the Monjolinho River Basin (São Paulo State), the Mogi Guaçu River (São Paulo State), and the Itapecuru River (Maranhão State) in three sampling campaigns. The CECs were only quantified in surface water samples collected at the Monjolinho River Basin. Acetaminophen, naproxen, and methylparaben were detected in the range of <200 to 575.9 ng L-1, <200 to 224.7 ng L-1, and <200 to 303.6 ng L-1, respectively. The detection frequencies of the three measured compounds were between 33% and 67%. The highest concentrations of CECs were associated with intense urbanization and untreated sewage discharge. Furthermore, CEC concentrations were significantly correlated with total organic carbon, electrical conductivity, and dissolved oxygen levels, suggesting that domestic pollution from urban areas is an important source in the distribution of CECs in the Monjolinho River Basin. The environmental risk assessment indicated a high risk for acetaminophen (risk quotient [RQ] values between 2.1 and 5.8), a medium risk for naproxen (RQs between 0.6 and 0.7), and a low risk for methylparaben (RQs < 0.1) to the freshwater biota of the Monjolinho River Basin. Our findings show potential threats of CECs in Brazilian water bodies, especially in vulnerable areas, and reinforce the need for improvements in environmental regulations to include monitoring and control of these compounds in aquatic systems. Environ Toxicol Chem 2024;43:2199-2210. © 2024 SETAC.
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Affiliation(s)
- Thiessa M A Oliveira
- São Carlos Institute of Chemistry, University of São Paulo, São Carlos, São Paulo, Brazil
- Santa Luzia Faculty, Santa Inês, Maranhão, Brazil
| | - Adrislaine S Mansano
- Department of Hydrobiology, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Carlos A Holanda
- São Carlos Institute of Chemistry, University of São Paulo, São Carlos, São Paulo, Brazil
- Licentiate Coordination of Natural Sciences, Federal University of Maranhão, Imperatriz, Maranhão, Brazil
| | - Tiago S Pinto
- Water Resources and Applied Ecology Center, São Carlos School of Engineering, University of São Paulo, São Carlos, São Paulo, Brazil
| | - Jonas B Reis
- São Carlos Institute of Chemistry, University of São Paulo, São Carlos, São Paulo, Brazil
| | - Eduardo B Azevedo
- São Carlos Institute of Chemistry, University of São Paulo, São Carlos, São Paulo, Brazil
| | - Raphael T Verbinnen
- São Carlos Institute of Chemistry, University of São Paulo, São Carlos, São Paulo, Brazil
- Analytical Chemistry and Ecotoxicology Laboratory, Federal University of Maranhão, São Luís, Maranhão, Brazil
| | - José Lucas Viana
- Analytical Chemistry and Ecotoxicology Laboratory, Federal University of Maranhão, São Luís, Maranhão, Brazil
- Environmental Studies Centre, São Paulo State University, Rio Claro, Brazil
| | - Teresa C R S Franco
- Analytical Chemistry and Ecotoxicology Laboratory, Federal University of Maranhão, São Luís, Maranhão, Brazil
| | - Eny M Vieira
- São Carlos Institute of Chemistry, University of São Paulo, São Carlos, São Paulo, Brazil
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8
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Qiu Y, Liu L, Xu C, Zhao B, Lin H, Liu H, Xian W, Yang H, Wang R, Yang X. Farmland's silent threat: Comprehensive multimedia assessment of micropollutants through non-targeted screening and targeted analysis in agricultural systems. JOURNAL OF HAZARDOUS MATERIALS 2024; 476:135064. [PMID: 38968823 DOI: 10.1016/j.jhazmat.2024.135064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 06/25/2024] [Accepted: 06/26/2024] [Indexed: 07/07/2024]
Abstract
Intricate agricultural ecosystems markedly influence the dynamics of organic micropollutants, posing substantial threats to aquatic organisms and human health. This study examined the occurrence and distribution of organic micropollutants across soils, ditch sediment, and water within highly intensified farming setups. Using a non-targeted screening method, we identified 405 micropollutants across 10 sampling sites, which mainly included pesticides, pharmaceuticals, industrial chemicals, and personal care products. This inventory comprised emerging contaminants, banned pesticides, and controlled pharmaceuticals that had eluded detection via conventional monitoring. Targeted analysis showed concentrations of 3.99-1021 ng/g in soils, 4.67-2488 ng/g in sediment, and 12.5-9373 ng/L in water, respectively, for Σ40pesticides, Σ8pharmaceuticals, and Σ3industrial chemicals, indicating notable spatial variability. Soil organic carbon content and wastewater discharge were likely responsible for their spatial distribution. Principal component analysis and correlation analysis revealed a potential transfer of micropollutants across the three media. Particularly, a heightened correlation was decerned between soil and sediment micropollutant levels, highlighting the role of sorption processes. Risk quotients surpassed the threshold of 1 for 13-23 micropollutants across the three media, indicating high environmental risks. This study highlights the importance of employing non-targeted and targeted screening in assessing and managing environmental risks associated with micropollutants.
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Affiliation(s)
- Yang Qiu
- College of Natural Resources and Environment, Joint Institute for Environment & Education, South China Agricultural University, Guangzhou 510642, PR China
| | - Lijun Liu
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China; State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Caifei Xu
- College of Natural Resources and Environment, Joint Institute for Environment & Education, South China Agricultural University, Guangzhou 510642, PR China
| | - Bo Zhao
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China; State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Hang Lin
- College of Natural Resources and Environment, Joint Institute for Environment & Education, South China Agricultural University, Guangzhou 510642, PR China
| | - He Liu
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China; State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Weixuan Xian
- College of Natural Resources and Environment, Joint Institute for Environment & Education, South China Agricultural University, Guangzhou 510642, PR China
| | - Han Yang
- College of Natural Resources and Environment, Joint Institute for Environment & Education, South China Agricultural University, Guangzhou 510642, PR China
| | - Rui Wang
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China; State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China.
| | - Xingjian Yang
- College of Natural Resources and Environment, Joint Institute for Environment & Education, South China Agricultural University, Guangzhou 510642, PR China.
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Alqarni AM. Analytical Methods for the Determination of Pharmaceuticals and Personal Care Products in Solid and Liquid Environmental Matrices: A Review. Molecules 2024; 29:3900. [PMID: 39202981 PMCID: PMC11357415 DOI: 10.3390/molecules29163900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 08/07/2024] [Accepted: 08/16/2024] [Indexed: 09/03/2024] Open
Abstract
Among the various compounds regarded as emerging contaminants (ECs), pharmaceuticals and personal care products (PPCPs) are of particular concern. Their continuous release into the environment has a negative global impact on human life. This review summarizes the sources, occurrence, persistence, consequences of exposure, and toxicity of PPCPs, and evaluates the various analytical methods used in the identification and quantification of PPCPs in a variety of solid and liquid environmental matrices. The current techniques of choice for the analysis of PPCPs are state-of-the-art liquid chromatography coupled to mass spectrometry (LC-MS) or tandem mass spectrometry (LC-MS2). However, the complexity of the environmental matrices and the trace levels of micropollutants necessitate the use of advanced sample treatments before these instrumental analyses. Solid-phase extraction (SPE) with different sorbents is now the predominant method used for the extraction of PPCPs from environmental samples. This review also addresses the ongoing analytical method challenges, including sample clean-up and matrix effects, focusing on the occurrence, sample preparation, and analytical methods presently available for the determination of environmental residues of PPCPs. Continuous development of innovative analytical methods is essential for overcoming existing limitations and ensuring the consistency and diversity of analytical methods used in investigations of environmental multi-class compounds.
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Affiliation(s)
- Abdulmalik M Alqarni
- Department of Pharmaceutical Chemistry, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, King Faisal Road, P.O. Box 1982, Dammam 31441, Saudi Arabia
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10
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Aminzai MT, Yabalak E, Kalderis D, Gizir AM. Environmental remediation of emerging contaminants using subcritical water: A review. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 366:121800. [PMID: 38996600 DOI: 10.1016/j.jenvman.2024.121800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 06/05/2024] [Accepted: 07/07/2024] [Indexed: 07/14/2024]
Abstract
The continuous rise of emerging contaminants (ECs) in the environment has been a growing concern due to their potentially harmful effects on humans, animals, plants, and aquatic life, even at low concentrations. ECs include human and veterinary pharmaceuticals, hormones, personal care products, pesticides, polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), organic dyes, heavy metals (HMs), and others. The world's growing population contributes to the release of many kinds of chemicals into the environment, which is estimated to be more than 200 billion metric tons annually and results in over 9 million deaths. The removal of these contaminants using conventional physical, chemical, and biological treatments has proven to be ineffective, highlighting the need for simple, effective, inexpesive, practical, and eco-friendly alternatives. Thus, this article discusses the utilization of subcritical water oxidation (SBWO) and subcritical water extraction (SBWE) techniques to remove ECS from the environment. Subcritical water (water below the critical temperature of 374.15 °C and critical pressure of 22.1 Mpa) has emerged as one of the most promising methods for remediation of ECs from the environment due to its non-toxic properties, simplicity and efficiency of application. Furthermore, the impact of temperature, pressure, treatment time, and utilization of chelating agents, organic modifiers, and oxidizing agents in the static and dynamic modes was investigated to establish the best conditions for high ECs removal efficiencies.
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Affiliation(s)
| | - Erdal Yabalak
- Department of Nanotechnology and Advanced Materials, Mersin University, TR-33343, Mersin, Turkey; Department of Chemistry and Chemical Processing Technologies, Technical Science Vocational School, Mersin University, 33343, Mersin, Turkey.
| | - Dimitrios Kalderis
- Laboratory of Environmental Technologies and Applications, Department of Electronics Engineering, Hellenic Mediterranean University, Chania, 73100, Greece.
| | - A Murat Gizir
- Department of Chemistry, Mersin University, 33342, Mersin, Turkey
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11
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Han Y, Hu LX, Liu T, Dong LL, Liu YS, Zhao JL, Ying GG. Discovering transformation products of pharmaceuticals in domestic wastewaters and receiving rivers by using non-target screening and machine learning approaches. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174715. [PMID: 39002592 DOI: 10.1016/j.scitotenv.2024.174715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 07/07/2024] [Accepted: 07/09/2024] [Indexed: 07/15/2024]
Abstract
Wastewater treatment plants (WWTPs) are an important source of pharmaceuticals in surface water, but information about their transformation products (TPs) is very limited. Here, we investigated occurrence and transformation of pharmaceuticals and TPs in WWTPs and receiving rivers by using suspect and non-target analysis as well as target analysis. Results showed identification of 113 pharmaceuticals and 399 TPs, including mammalian metabolites (n = 100), environmental microbial degradation products (n = 250), photodegradation products (n = 44) and hydrolysis products (n = 5). The predominant parent pharmaceuticals (n = 37) and transformation products (n = 68) were mainly derived from antimicrobials, accounting for 32.7 % and 17.0 %, respectively. The identified compounds were found in the influent (387-428) and effluent (227-400) of WWTPs, as well as upstream (290-451) and downstream (322-416) of receiving rivers, most predominantly from antimicrobials, followed by analgesic and antipyretic drugs. A total of 399 identified TPs were transformed by 110 pathways, of which the oxidation reaction was predominant (27.0 %), followed by photodegradation reaction (10.7 %). Of the 399 TPs, 49 (with lower PNECs) were predicted to be more toxic than their parents. Compounds with potential high risks (hazard quotient >1 and risk index (RI) > 0.1) were found in the WWTP influent (126), effluent (53) and river (61), and the majority were from the antimicrobial and antihypertensive classes. In particular, the potential risks (RI) of TPs from roxithromycin and irbesartan were found higher than those for their corresponding parents. The findings from this study highlight the need to monitor TPs from pharmaceuticals in the environment.
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Affiliation(s)
- Yu Han
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Li-Xin Hu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
| | - Ting Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Liang-Li Dong
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - You-Sheng Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Jian-Liang Zhao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
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12
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Tanveer R, Neale PA, Melvin SD, Leusch FDL. Application of in vitro bioassays to monitor pharmaceuticals in water: A synthesis of chronological analysis, mode of action, and practical insights. CHEMOSPHERE 2024; 359:142255. [PMID: 38729441 DOI: 10.1016/j.chemosphere.2024.142255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 05/02/2024] [Accepted: 05/04/2024] [Indexed: 05/12/2024]
Abstract
Pharmaceutical compounds in wastewater have emerged as a significant concern for the aquatic environment. The use of in vitro bioassays represents a sustainable and cost-effective approach for assessing the potential toxicological risks of these biologically active compounds in wastewater and aligns with ethical considerations in research. It facilitates high-throughput analysis, captures mixture effects, integrates impacts of both known and unknown chemicals, and reduces reliance on animal testing. The core aim of the current review was to explore the practical application of in vitro bioassays in evaluating the environmental impacts of pharmaceuticals in wastewater. This comprehensive review strives to achieve several key objectives. First, it provides a summary categorisation of pharmaceuticals based on their mode of action, providing a structured framework for understanding their ecological significance. Second, a chronological analysis of pharmaceutical research aims to document their prevalence and trends over time, shedding light on evolving environmental challenges. Third, the review critically analyses existing bioassay applications in wastewater, while also examining bioassay coverage of representative compounds within major pharmaceutical classes. Finally, it explores the potential for developing innovative bioassays tailored for water quality monitoring of pharmaceuticals, paving the way for more robust environmental monitoring and risk assessment. Overall, adopting effect-based methods for pharmaceutical monitoring in water holds significant promise. It encompasses a broad spectrum of biological impacts, promotes standardized protocols, and supports a bioassay test battery approach indicative of different endpoints, thereby enhancing the effectiveness of environmental risk assessment.
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Affiliation(s)
- Rameesha Tanveer
- Australian Rivers Institute, Griffith University, Southport, Qld 4222, Australia.
| | - Peta A Neale
- Australian Rivers Institute, Griffith University, Southport, Qld 4222, Australia.
| | - Steven D Melvin
- Australian Rivers Institute, Griffith University, Southport, Qld 4222, Australia.
| | - Frederic D L Leusch
- Australian Rivers Institute, Griffith University, Southport, Qld 4222, Australia.
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13
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Li N, Liu J, Ying G, Lee JCK, Leung TF, Covaci A, Deng WJ. Endocrine disrupting chemicals in children's and their parents' urine: Is the exposure related to the Chinese and Western lifestyle? Int J Hyg Environ Health 2024; 259:114383. [PMID: 38652942 DOI: 10.1016/j.ijheh.2024.114383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 03/26/2024] [Accepted: 04/16/2024] [Indexed: 04/25/2024]
Abstract
Children are known to be more vulnerable to exposure to endocrine-disrupting chemicals (EDCs) compared to adults, but evaluating the exposure pathways can be challenging. This research employed target and non-target analysis (NTA) to examine the exposure characteristics of EDCs in spot urine samples collected from 46 children's (aged 3-12 years) and their parents in Hong Kong (Chinese/Western lifestyle) and Guangzhou (mainly Chinese lifestyle). The results revealed that the geometric mean concentrations of phthalate esters metabolites (mPAEs) and bisphenols (BPs) in children's urine were 127.3 μg/gcrea and 2.5 μg/gcrea in Guangzhou, and 93.7 μg/gcrea and 2.9 μg/gcrea in Hong Kong, respectively, which were consistent with global levels. NTA identified a total of 1069 compounds, including 106 EDCs, commonly detected in food, cosmetics, and drugs. Notable regional differences were observed between Guangzhou and Hong Kong with potential sources of EDCs including dietary and cosmetic additives, toys, flooring and dust, as well as differences in lifestyles, diet, and living environment. However, age was found to significantly impact EDC exposure. The quantified EDCs (mPAEs and BPs) posed possible health risks to 60% of the children. Moreover, the presence of caffeine in children's urine, which exhibited higher detection rates in children from Hong Kong (95.6%) and Guangzhou (44.4%), warrants further attention. The sources of EDCs exposure in these regions need to be fully confirmed.
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Affiliation(s)
- Na Li
- Department of Science and Environmental Studies, The Education University of Hong Kong, Tai Po, N.T., Hong Kong China; Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Jing Liu
- The Environmental Research Institute, MOE Key Laboratory of Environmental Theoretical Chemistry, South China Normal University, Guangzhou, 510006, China
| | - Guangguo Ying
- The Environmental Research Institute, MOE Key Laboratory of Environmental Theoretical Chemistry, South China Normal University, Guangzhou, 510006, China
| | - John Chi-Kin Lee
- Academy of Applied Policy Studies and Education Futures, The Education University of Hong Kong, Tai Po, N.T., Hong Kong China
| | - Ting Fan Leung
- Department of Paediatrics & Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong China
| | - Adrian Covaci
- Toxicological Center, University of Antwerp, 2610, Wilrijk, Belgium.
| | - Wen-Jing Deng
- Department of Science and Environmental Studies, The Education University of Hong Kong, Tai Po, N.T., Hong Kong China.
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14
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Long XB, Yao CR, Li SY, Zhang JG, Lu ZJ, Ma DD, Chen CE, Ying GG, Shi WJ. Screening androgen receptor agonists of fish species using machine learning and molecular model in NORMAN water-relevant list. JOURNAL OF HAZARDOUS MATERIALS 2024; 468:133844. [PMID: 38394900 DOI: 10.1016/j.jhazmat.2024.133844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/14/2024] [Accepted: 02/18/2024] [Indexed: 02/25/2024]
Abstract
Androgen receptor (AR) agonists have strong endocrine disrupting effects in fish. Most studies mainly investigate AR binding capacity using human AR in vitro. However, there is still few methods to rapidly predict AR agonists in aquatic organisms. This study aimed to screen AR agonists of fish species using machine learning and molecular models in water-relevant list from NORMAN, a network of reference laboratories for monitoring contaminants of emerging concern in the environment. In this study, machine learning approaches (e.g., Deep Forest (DF)), Random Forests and artificial neural networks) were applied to predict AR agonists. Zebrafish, fathead minnow, mosquitofish, medaka fish and grass carp are all important aquatic model organisms widely used to evaluate the toxicity of new pollutants, and the molecular models of ARs from these five fish species were constructed to further screen AR agonists using AlphaFold2. The DF method showed the best performances with 0.99 accuracy, 0.97 sensitivity and 1 precision. The Asn705, Gln711, Arg752, and Thr877 residues in human AR and the corresponding sites in ARs from the five fish species were responsible for agonist binding. Overall, 245 substances were predicted as suspect AR agonists in the five fish species, including, certain glucocorticoids, cholesterol metabolites, and cardiovascular drugs in the NORMAN list. Using machine learning and molecular modeling hybrid methods rapidly and accurately screened AR agonists in fish species, and helping evaluate their ecological risk in fish populations.
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Affiliation(s)
- Xiao-Bing Long
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Chong-Rui Yao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Si-Ying Li
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Jin-Ge Zhang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Zhi-Jie Lu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Dong-Dong Ma
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Chang-Er Chen
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Wen-Jun Shi
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
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15
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Zhang S, Chou L, Zhu W, Luo W, Zhang C, Qiu J, Li M, Tan H, Guo J, Wang C, Tu K, Xu K, Yu H, Zhang X, Shi W, Zhou Q. Identify organic contaminants of high-concern based on non-targeted toxicity testing and non-targeted LC-HRMS analysis in tap water and source water along the Yangtze River. WATER RESEARCH 2024; 253:121303. [PMID: 38382288 DOI: 10.1016/j.watres.2024.121303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 02/07/2024] [Accepted: 02/10/2024] [Indexed: 02/23/2024]
Abstract
Many organic pollutants were detected in tap water (TW) and source water (SW) along the Yangtze River. However, the potential toxic effects and the high-concern organics (HCOs) which drive the effect are still unknown. Here, a non-targeted toxicity testing method based on the concentration-dependent transcriptome and non-targeted LC-HRMS analysis combining tiered filtering were used to reveal the overall biological effects and chemical information. Subsequently, we developed a qualitative pathway-structure relationship (QPSR) model to effectively match the biological and chemical information and successfully identified HCOs in TW and SW along the Yangtze River by potential substructures of HCOs. Non-targeted toxicity testing found that the biological potency of both TW and SW was stronger in the downstream of the Yangtze River, and disruption of the endocrine system and cancer were the main drivers of the effect. In addition, non-targeted LC-HRMS analysis combined with retention time prediction results identified 3220 and 631 high-confidence compound structures in positive and negative ion modes, respectively. Then, QPSR model was further implied and identified a total of 103 HCOs, containing 35 industrial chemicals, 30 PPCPs, 26 pesticides, and 12 hormones in TW and SW, respectively. Among them, the neuroactive and hormonal compounds oxoamide, 8-iso-16-cyclohexyl-tetranor prostaglandin E2, E Keppra, and Tocris-0788 showed the highest frequency of detection, which were identified in more than 1/3 of the samples. The strategy of combining non-targeted toxicity testing and non-targeted LC-HRMS analysis will support comprehensive biological effect assessment, identification of HCOs, and risk control of mixtures.
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Affiliation(s)
- Shaoqing Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Liben Chou
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Wenxuan Zhu
- Department of Mathematics, Statistics, and Computer Science, Macalester College, Saint Paul, MN 55105, USA
| | - Wenrui Luo
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Chi Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Jingfan Qiu
- Key Laboratory of Pathogen Biology of Jiangsu Province, Department of Pathogen Biology, Nanjing Medical University, Nanjing 211166, China
| | - Meishuang Li
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Haoyue Tan
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Jing Guo
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Chang Wang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Institute of Environment and Health, Jianghan University, Wuhan 430056, China
| | - Keng Tu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Kefan Xu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Hongxia Yu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Xiaowei Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Wei Shi
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China; Jiangsu Province Ecology and Environment Protection Key Laboratory of Chemical Safety and Health Risk, Nanjing 210023, China.
| | - Qing Zhou
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
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Liu S, Liu J. An Integrated Approach of Bioassays and Non-Target Screening for the Assessment of Endocrine-Disrupting Activities in Tap Water and Identification of Novel Endocrine-Disrupting Chemicals. TOXICS 2024; 12:247. [PMID: 38668470 PMCID: PMC11054029 DOI: 10.3390/toxics12040247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 03/23/2024] [Accepted: 03/26/2024] [Indexed: 04/29/2024]
Abstract
The safety of drinking water is a significant environmental issue of great concern for human health since numerous contaminants are often detected in drinking water and its sources. Boiling is a common household method used to produce relatively high-quality drinking water in some countries and regions. In this study, with the aid of an integrated approach of in vitro bioassays and non-target analysis based on high-resolution mass spectrometry coupled with liquid chromatography, alterations in endocrine-disrupting activities in tap water samples without and with boiling were revealed, as well as the potential endocrine-disrupting chemicals (EDCs) contributing to these alterations were identified. The organic extracts of tap water had no significant (ant)agonistic activities against an estrogen receptor (ER), progesterone receptor (PR), glucocorticoid receptor (GR), and mineralocorticoid receptor (MR) at enrichment concentrations of ≤10 times, posing no immediate or acute health risk to humans. However, the presence of agonistic activities against PR and MR and antagonistic activities against ER, PR, GR, and MR in OEs of tap water at relatively higher enrichment concentrations still raise potential health concerns. Boiling effectively reduced antagonistic activities against these steroid hormone receptors (SHRs) but increased estrogenic and glucocorticoid activities in drinking water. Four novel potential EDCs, including one UV filter (phenylbenzimidazole sulfonic acid, PBSA) and three natural metabolites of organisms (beta-hydroxymyristic acid, 12-hydroxyoctadecanoic acid, and isorosmanol) were identified in drinking water samples, each of which showed (ant)agonistic activities against different SHRs. Given the widespread use of UV filters in sunscreens to prevent skin cancer, the health risks posed by PBSA as an identified novel EDC are of concern. Although boiling has been thought to reduce the health risk of drinking water contamination, our findings suggest that boiling may have a more complex effect on the endocrine-disrupting activities of drinking water and, therefore, a more comprehensive assessment is needed.
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Affiliation(s)
- Siyuan Liu
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
- Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Jing Liu
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
- Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
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17
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Lee J, Jo SJ, Yoon S, Ko M, Jang T, Kim HK, Park JA. Coupled adsorption-photocatalysis process for the removal of diclofenac using magnetite/reduced graphene oxide nanocomposite. CHEMOSPHERE 2024; 349:140788. [PMID: 38042428 DOI: 10.1016/j.chemosphere.2023.140788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 10/28/2023] [Accepted: 11/21/2023] [Indexed: 12/04/2023]
Abstract
Diclofenac (DCF) is frequently detected in water bodies (ng/L to g/L) as it is not completely removed by conventional wastewater treatment plants. Adsorption and photocatalysis have been studied as promising methods for treating DCF; however, both processes have limitations. Thus, in this study, the removal efficiency of DCF is evaluated using a magnetite/reduced graphene oxide (Fe3O4/RGO) nanocomposite via a coupled adsorption-catalysis process. The Fe3O4/RGO nanocomposite was successfully synthesized using a microwave-assisted solvothermal method and exhibited a bandgap of 2.60 eV. The kinetic data best fitted the Elovich model (R2 = 0.994, χ2 = 0.29), indicating rapid adsorption. The maximum DCF adsorption capacity calculated using the Langmuir model was 80.33 mg/g. An ultraviolet C (UVC) light source and 0.1 g/L of Fe3O4/RGO nanocomposite were the optimum conditions for the removal of DCF (C0 = 30 mM) by a coupled adsorption-photocatalysis process (first-order rate constant (k) = 0.088/min), which was greater than the single adsorption (k = 0.029/min) and pre-adsorption and post-photocatalysis (k = 0.053/min) processes. This indicates that the adsorbed DCF did not hamper the photocatalytic reaction of the Fe3O4/RGO nanocomposite, but rather enhanced the coupled adsorption-photocatalytic reaction. DCF removal efficiency was higher at acidic conditions (pH 4.3-5.0), because high H+ promotes the generation of certain reactive oxygen species (ROS) and increases of electrostatic interaction. The presence of NaCl and CaCl2 (10 mM) did not notably affect the total DCF removal efficiency; however, Ca2+ affected the initial DCF adsorption affinity. Scavenger experiments demonstrated O2∙- and h+ play a key ROS than ·OH to degrade DCF. The acute toxicity of DCF towards Aliivibrio fischeri gradually decreased with increasing treatment time.
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Affiliation(s)
- Jooyoung Lee
- Department of Environmental Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Seong-Jun Jo
- Department of Battery Convergence Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Soyeong Yoon
- Department of Environmental Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Mingi Ko
- Department of Environmental Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Taesoon Jang
- Department of Environmental Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Hyun-Kyung Kim
- Department of Battery Convergence Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea; Interdisciplinary Program in Advanced Functional Materials and Devices Development, Kangwon National University, Chuncheon, 24341, Republic of Korea.
| | - Jeong-Ann Park
- Department of Environmental Engineering, Kangwon National University, Chuncheon, 24341, Republic of Korea; Department of Integrated Energy and Infra System, Kangwon National University, Chuncheon, 24341, Republic of Korea.
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18
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Hernández-Tenorio R. Hydroxylated transformation products of pharmaceutical active compounds: Generation from processes used in wastewater treatment plants and its environmental monitoring. CHEMOSPHERE 2024; 349:140753. [PMID: 38006923 DOI: 10.1016/j.chemosphere.2023.140753] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 10/28/2023] [Accepted: 11/16/2023] [Indexed: 11/27/2023]
Abstract
Pharmaceutical active compounds (PhACs) are organic pollutants detected in wastewater and aquatic environments worldwide in concentrations ranging from ng L-1 to μg L-1. Wastewater effluents containing PhACs residues is discharged in municipal sewage and, subsequently collected in municipal wastewater treatment plants (WWTPs) where are not entirely removed. Thus, PhACs and its transformation products (TPs) are discharged into water bodies. In the current work, the transformation of PhACs under treatments used in municipal WWTPs such as biological, photolysis, chlorination, and ozonation processes was reviewed. Data set of the major transformation pathways were obtained of studies that performed the PhACs removal and TPs monitoring during batch-scale experiments using gas and liquid chromatography coupled with tandem mass spectrometry (GC/LC-MS/MS). Several transformation pathways as dealkylation, hydroxylation, oxidation, acetylation, aromatic ring opening, chlorination, dehalogenation, photo-substitution, and ozone attack reactions were identified during the transformation of PhACs. Especially, hydroxylation reaction was identified as transformation pathway in all the processes. During the elucidation of hydroxylated TPs several isobaric compounds as monohydroxylated and dihydroxylated were identified. However, hydroxylated TPs monitoring in wastewater and aquatic environments is a topic scarcely studied due to that has no environmental significance, lack of available analytic standars of hydroxylated TPs and lack of analytic methods for their identification. Thus, screening strategy for environmental monitoring of hydroxylated TPs was proposed through target and suspect screening using GC/LC-MS/MS systems. In the next years, more studies on the hydroxylated TPs monitoring are necessary for its detection in WWTPs effluents as well as studies on their environmental effects in aquatic environments.
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Affiliation(s)
- Rafael Hernández-Tenorio
- Centro de Investigación y Asistencia en Tecnología y Diseño Del Estado de Jalisco A.C., Sede Noreste, Vía de La Innovación 404, Autopista Monterrey-Aeropuerto Km 10, Parque PIIT, Apodaca, Nuevo León, C.P. 66628, Mexico.
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19
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Huang Z, Hu LX, Yang JB, Liu YS, He LY, Zhao JL, Ying GG. Comprehensive discovery and migration evaluation of antimicrobial drugs and their transformation products in a swine farm by target, suspect, and nontarget screening. ENVIRONMENT INTERNATIONAL 2023; 181:108304. [PMID: 37931561 DOI: 10.1016/j.envint.2023.108304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/08/2023]
Abstract
Swine farms contaminated the surrounding environment through manure application and biogas slurry irrigation, hence causing the wide residual of multiple antimicrobial drugs (ADs) and their transformation products (TPs). This study performed target, suspect, and nontarget screening methods to comprehensively investigate the pollution profiles of ADs in a typical swine farm, and characterize the potential transformed pathway of TPs and distinguish specific reactions of different catalog of ADs. Samples of fresh feces, compost, biogas slurry, topsoil, column soil, groundwater and plants were analyzed using the database containing 98 target analytes, 679 suspected parent ADs, and ∼ 107 TPs. In total, 29 ADs were quantitively detected, and tetracyclines (TCs) were mostly frequently detected ADs with the concentrations up to 4251 ng/g in topsoil. Soil column investigation revealed that doxycycline (DOX) and tetracycline (TC) in soil could migrate to depths of approximately 1 m in soil. Suspect screening identified 75 parent ADs, with 10 being reported for the first time in environmental media. Semi-quantification of ADs revealed that one of the less-concerned ADs, clinafloxacin, was detected to exceed 5000 ng/L in biogas slurry, suggesting that significant attentions should be paid to these less-concerned ADs. Moreover, 314 TPs was identified, and most of them were found to undergo microbial/enzymatic metabolism pathways. Overall, our study displays a comprehensive overview of ADs and their TPs in swine farming environments, and provides an inventory of crucial list that worthy of concern. The results emphasize the need to quantify the levels and distribution of previously overlooked ADs and their TPs in livestock farms.
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Affiliation(s)
- Zheng Huang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, PR China; School of Environment, South China Normal University, Guangzhou 510006, PR China
| | - Li-Xin Hu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, PR China; School of Environment, South China Normal University, Guangzhou 510006, PR China
| | - Jiong-Bin Yang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, PR China; School of Environment, South China Normal University, Guangzhou 510006, PR China
| | - You-Sheng Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, PR China; School of Environment, South China Normal University, Guangzhou 510006, PR China
| | - Liang-Ying He
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, PR China; School of Environment, South China Normal University, Guangzhou 510006, PR China
| | - Jian-Liang Zhao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, PR China; School of Environment, South China Normal University, Guangzhou 510006, PR China.
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, PR China; School of Environment, South China Normal University, Guangzhou 510006, PR China
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20
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Zhao JH, Hu LX, Xiao S, Zhao JL, Liu YS, Yang B, Zhang QQ, Ying GG. Screening and prioritization of organic chemicals in a large river basin by suspect and non-target analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 333:122098. [PMID: 37352960 DOI: 10.1016/j.envpol.2023.122098] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 06/11/2023] [Accepted: 06/20/2023] [Indexed: 06/25/2023]
Abstract
Many organic chemicals are present in aquatic environments, but how to screen and prioritize these chemicals has always been a difficult task. Here we investigated organic chemicals in the West River Basin by using a developed non-target identification workflow. A total of 957 chemicals were tentatively identified, with 96 assigned as high confidence levels by matching with reference standards, MassBank spectral library, and using CompTox Chemistry Dashboard database as the compound library for MetFrag. More pesticides and their transformation products (e.g., metolachlor ESA, acetochlor ESA, deethylatrazine, and hydroxyatrazine) were detected in the wet season due to the increasing usage. High detection of pharmaceutical and personal care products and their transformation products in the tributaries was linked to rural farming and human activities. Irbesartan that is used to treat high blood pressure was recognized in the river and positive correlations between some detected chemicals and irbesartan were observed, indicating a domestic wastewater source. Ecological risks of the identified chemicals were calculated by toxicological prioritization ranking schemes, and 24 chemicals showed high ToxPi scores in the river. The results from this study show the presence of a large number of emerging organic chemicals in our waterways, and demonstrated conceptual schemes for integrating risk assessment into a non-target screening workflow.
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Affiliation(s)
- Jia-Hui Zhao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; School of Environment, South China Normal University, University Town, Guangzhou, 510006, China
| | - Li-Xin Hu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; School of Environment, South China Normal University, University Town, Guangzhou, 510006, China
| | - Sheng Xiao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; School of Environment, South China Normal University, University Town, Guangzhou, 510006, China
| | - Jian-Liang Zhao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; School of Environment, South China Normal University, University Town, Guangzhou, 510006, China
| | - You-Sheng Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; School of Environment, South China Normal University, University Town, Guangzhou, 510006, China
| | - Bin Yang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; School of Environment, South China Normal University, University Town, Guangzhou, 510006, China
| | - Qian-Qian Zhang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; School of Environment, South China Normal University, University Town, Guangzhou, 510006, China
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; School of Environment, South China Normal University, University Town, Guangzhou, 510006, China.
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21
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Molnarova L, Halesova T, Vaclavikova M, Bosakova Z. Monitoring Pharmaceuticals and Personal Care Products in Drinking Water Samples by the LC-MS/MS Method to Estimate Their Potential Health Risk. Molecules 2023; 28:5899. [PMID: 37570870 PMCID: PMC10421426 DOI: 10.3390/molecules28155899] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
(1) The occurrence and accumulation of pharmaceuticals and personal care products in the environment are recognized scientific concerns. Many of these compounds are disposed of in an unchanged or metabolized form through sewage systems and wastewater treatment plants (WWTP). WWTP processes do not completely eliminate all active substances or their metabolites. Therefore, they systematically leach into the water system and are increasingly contaminating ground, surface, and drinking water, representing a health risk largely ignored by legislative bodies. Especially during the COVID-19 pandemic, a significantly larger amount of medicines and protective products were consumed. It is therefore likely that contamination of water sources has increased, and in the case of groundwater with a delayed effect. As a result, it is necessary to develop an accurate, rapid, and easily available method applicable to routine screening analyses of potable water to monitor and estimate their potential health risk. (2) A multi-residue UHPLC-MS/MS analytical method designed for the identification of 52 pharmaceutical products was developed and used to monitor their presence in drinking water. (3) The optimized method achieved good validation parameters, with recovery of 70-120% of most analytes and repeatability achieving results within 20%. In real samples of drinking water, at least one analyte above the limit of determination was detected in each of the 15 tap water and groundwater samples analyzed. (4) These findings highlight the need for legislation to address pharmaceutical contamination in the environment.
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Affiliation(s)
- Lucia Molnarova
- Department of Analytical Chemistry, Faculty of Science, Charles University, Hlavova 8, 128 43 Prague, Czech Republic;
| | - Tatana Halesova
- ALS Czech Republic, Na Harfe 223/9, 190 00 Prague, Czech Republic; (T.H.); (M.V.)
| | - Marta Vaclavikova
- ALS Czech Republic, Na Harfe 223/9, 190 00 Prague, Czech Republic; (T.H.); (M.V.)
| | - Zuzana Bosakova
- Department of Analytical Chemistry, Faculty of Science, Charles University, Hlavova 8, 128 43 Prague, Czech Republic;
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22
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Ciccarelli D, Christopher Braddock D, Surman AJ, Arenas BIV, Salal T, Marczylo T, Vineis P, Barron LP. Enhanced selectivity for acidic contaminants in drinking water: From suspect screening to toxicity prediction. JOURNAL OF HAZARDOUS MATERIALS 2023; 448:130906. [PMID: 36764252 DOI: 10.1016/j.jhazmat.2023.130906] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/27/2023] [Accepted: 01/28/2023] [Indexed: 06/18/2023]
Abstract
A novel analytical workflow for suspect screening of organic acidic contaminants in drinking water is presented, featuring selective extraction by silica-based strong anion-exchange solid-phase extraction, mixed-mode liquid chromatography-high resolution accurate mass spectrometry (LC-HRMS), peak detection, feature reduction and compound identification. The novel use of an ammonium bicarbonate-based elution solvent extended strong anion-exchange solid-phase extraction applicability to LC-HRMS of strong acids. This approach performed with consistently higher recovery and repeatability (88 ± 7 % at 500 ng L-1), improved selectivity and lower matrix interference (mean = 12 %) over a generic mixed-mode weak anion exchange SPE method. In addition, a novel filter for reducing full-scan features from fulvic and humic acids was successfully introduced, reducing workload and potential for false positives. The workflow was then applied to 10 London municipal drinking water samples, revealing the presence of 22 confirmed and 37 tentatively identified substances. Several poorly investigated and potentially harmful compounds were found which included halogenated hydroxy-cyclopentene-diones and dibromomethanesulfonic acid. Some of these compounds have been reported as mutagenic in test systems and thus their presence here requires further investigation. Overall, this approach demonstrated that employing selective extraction improved detection and helped shortlist suspects and potentially toxic chemical contaminants with higher confidence.
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Affiliation(s)
- Davide Ciccarelli
- Environmental Research Group, MRC Centre for Environment and Health, School of Public Health, Imperial College London, 86 Wood Lane, London W12 0BZ, UK; NIHR-HPRU Chemical and Radiation Threats and Hazards, NIHR-HPRU Environmental Exposures and Health, MRC Centre for Environment and Health, School of Public Health, Imperial College London, 86 Wood Lane, London W12 0BZ, UK
| | | | - Andrew J Surman
- Department of Chemistry, King's College London, Britannia House, 7 Trinity Street, London SE1 1DB, UK
| | | | - Tara Salal
- Department of Chemistry, King's College London, Britannia House, 7 Trinity Street, London SE1 1DB, UK
| | - Tim Marczylo
- NIHR-HPRU Chemical and Radiation Threats and Hazards, NIHR-HPRU Environmental Exposures and Health, MRC Centre for Environment and Health, School of Public Health, Imperial College London, 86 Wood Lane, London W12 0BZ, UK; UK Health Security Agency, Harwell Science Campus, Femi Avenue, Harwell, Didcot OX11 0GD, UK
| | - Paolo Vineis
- NIHR-HPRU Chemical and Radiation Threats and Hazards, NIHR-HPRU Environmental Exposures and Health, MRC Centre for Environment and Health, School of Public Health, Imperial College London, 86 Wood Lane, London W12 0BZ, UK; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
| | - Leon P Barron
- Environmental Research Group, MRC Centre for Environment and Health, School of Public Health, Imperial College London, 86 Wood Lane, London W12 0BZ, UK; NIHR-HPRU Chemical and Radiation Threats and Hazards, NIHR-HPRU Environmental Exposures and Health, MRC Centre for Environment and Health, School of Public Health, Imperial College London, 86 Wood Lane, London W12 0BZ, UK.
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23
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Zhu Y, Shen J, Guo M, Zheng H, Cao Y. Nitrogen-doped magnetic porous carbon material from low-cost anion-exchange resin as an efficient adsorbent for tetracyclines in water. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:27315-27327. [PMID: 36378367 DOI: 10.1007/s11356-022-24093-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
In this work, nitrogen-doped magnetic porous carbon material (N-MPC) was prepared through the high-temperature calcination of low-cost [Fe(CN)6]3--loaded anion-exchange resin, which was experimentally demonstrated to have significant adsorption performance for tetracycline (TC) in water. The N-MPC adsorbent with a large specific surface area (781.1 m2 g-1) was able to maintain excellent performance in a wide pH range from 4 to 10 or in high ionic strength solution. The adsorption of TC on N-MPC was found to be more consistent with the pseudo-second-order model and Langmuir adsorption model, and the maximum adsorption capacity (qm, cal) was calculated to be 603.4 mg g-1. As a recoverable magnetic adsorbent, the N-MPC remained a TC removal rate higher than 70% after four adsorption cycles. The adsorption mechanism was speculated on the basis of characterizations, where pore filling, hydrogen bonding interaction, and π-π electron donor-acceptor (EDA) interaction were crucial adsorption mechanisms. A variety of antibiotics were selected for adsorption, and excellent performance was found especially for TCs, indicating that the N-MPC can be used for the efficient removal of TCs from water.
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Affiliation(s)
- Yating Zhu
- School of Chemistry, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, 510006, People's Republic of China
| | - Jia Shen
- School of Chemistry, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, 510006, People's Republic of China
| | - Manli Guo
- School of Chemistry, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, 510006, People's Republic of China.
| | - Haoling Zheng
- School of Chemistry, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, 510006, People's Republic of China
| | - Yujuan Cao
- School of Chemistry, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, 510006, People's Republic of China
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24
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Li W, Liu K, Min Z, Li J, Zhang M, Korshin GV, Han J. Transformation of macrolide antibiotics during chlorination process: Kinetics, degradation products, and comprehensive toxicity evaluation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159800. [PMID: 36309261 DOI: 10.1016/j.scitotenv.2022.159800] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/27/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
Antibiotics are ubiquitous in wastewater and surface water and their presence is of grave concern. Chlorination, an important disinfection process used in wastewater treatment plants and waterworks, causes antibiotics to be degraded. However, interactions of antibiotics with chlorine result in the generation of multiple transformation products (TPs). TPs may be more toxic than the parent compounds, but their structures, yields and ecotoxicity remain to be ascertained in most cases. This study examined the degradation by chlorine of two typical macrolide (MLs) antibiotics, erythromycin (ERY) and roxithromycin (ROX), and identified the TPs formed as a result of ERY and ROX chlorination. The ecotoxicity of ERY, ROX and their TPs was evaluated using a combination of bioassay and ECOSAR prediction. The degradation of ERY and ROX followed pseudo-first-order kinetic at the molar ratio of FAC to MLs of 10:1, and the degradation kinetic rate depends on pH values. Six TPs of ERY including three chlorinated TPs, and six TPs of ROX including two chlorinated TPs were identified. The tertiary N of the desosamine moiety of ERY and ROX was determined to be the main reactive site. Demethylation and chlorine substitution at the reactive site are the main degradation pathways of ERY and ROX. ECOSAR results showed that the chlorinated byproducts of ERY TP578, TP542 and TP528, and the reduced hydroxylation products of ROX TP851 exhibited higher ecotoxicity than their parent compounds. However, algae growth inhibition assays indicated that the overall ecotoxicity of the chlorinated ERY or ROX mixture was lower than that of ERY or ROX prior to chlorination. This may be attributed to the removal of the parent compound and lower yields of toxic substances. While the yields of the toxic TPs may be low, their accumulation and combined effects of the TPs and other co-occurring pollutants should be examined further.
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Affiliation(s)
- Wei Li
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; National Positioning Observation Station of Hung-tse Lake Wetland Ecosystem in Jiangsu Province, Hongze, Jiangsu 223100, China.
| | - Kai Liu
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Zhongfang Min
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Jiping Li
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Meng Zhang
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; National Positioning Observation Station of Hung-tse Lake Wetland Ecosystem in Jiangsu Province, Hongze, Jiangsu 223100, China
| | - Gregory V Korshin
- Department of Civil and Environmental Engineering, Box 352700, University of Washington, Seattle, WA 98195-2700, United States
| | - Jiangang Han
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; National Positioning Observation Station of Hung-tse Lake Wetland Ecosystem in Jiangsu Province, Hongze, Jiangsu 223100, China
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25
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Liu T, Hu LX, Han Y, Dong LL, Wang YQ, Zhao JH, Liu YS, Zhao JL, Ying GG. Non-target and target screening of per- and polyfluoroalkyl substances in landfill leachate and impact on groundwater in Guangzhou, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 844:157021. [PMID: 35777559 DOI: 10.1016/j.scitotenv.2022.157021] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 06/23/2022] [Accepted: 06/24/2022] [Indexed: 06/15/2023]
Abstract
Landfills are the main destination of many urban wastes containing per- and polyfluoroalkyl substances (PFAS), and PFAS may leach out from the waste and contaminate the surrounding groundwater. Here we investigated the occurrence of PFAS in leachate and surrounding groundwater from three landfills in Guangzhou, China by using a combined target and non-target approach. Non-target screening showed that a total of 651 PFAS with 96 classes were identified, including 17 legacy PFAS and 637 emerging PFAS. The quantitative target analysis of some PFAS revealed that the average removal rate of PFAS from the raw leachates were ranged between 62 % and 99 %. Statistical analysis and source analysis suggested that landfill leachate was a major source of PFAS in the groundwater within the landfills and downstream sites. The results from the combined target and non-target analyses demonstrated that PFAS in landfills could leach into the surrounding groundwater, and may affect the sustainable use of groundwater as a source of drinking water and pose a potential risk to human health.
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Affiliation(s)
- Ting Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Li-Xin Hu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Yu Han
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Liang-Li Dong
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Yu-Qing Wang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Jia-Hui Zhao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - You-Sheng Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Jian-Liang Zhao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
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26
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Han Y, Hu LX, Liu T, Liu J, Wang YQ, Zhao JH, Liu YS, Zhao JL, Ying GG. Non-target, suspect and target screening of chemicals of emerging concern in landfill leachates and groundwater in Guangzhou, South China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 837:155705. [PMID: 35523323 DOI: 10.1016/j.scitotenv.2022.155705] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/30/2022] [Accepted: 04/30/2022] [Indexed: 06/14/2023]
Abstract
Landfill sites have been regarded as a significant source of chemicals of emerging concern (CECs) in groundwater. However, our understanding about the compositions of CECs in landfill leachate and adjacent groundwater is still very limited. Here we investigated the CECs in landfill leachates and groundwater of Guangzhou in South China by target, suspect and non-target analysis using high-resolution mass spectrometry (HRMS). A variety of CECs (n = 242), including pharmaceuticals (n = 64), pharmaceutical intermediates (n = 18), personal care products (n = 9), food additives (n = 18), industrial chemicals (n = 82, e.g., flame retardants, plasticizers, antioxidants and catalysts), pesticides (n = 26), transformation products (n = 8) and other organic compounds (n = 17) were (tentatively) identified by non-target and suspect screening. 142 CECs were quantitated with target analysis, and among them 37, 24 and 27 CECs were detected respectively in the raw leachate (272-1780 μg/L), treated leachate (0.25-0.81 μg/L) and groundwater (0.10-53.7 μg/L). The CECs in the raw leachates were efficiently removed with the removal efficiencies greater than 88.7%. Acesulfame, bisphenol F and ketoprofen were the most abundant compounds in both treated leachate and groundwater. The CECs in groundwater was found most likely to be originated from the landfill sites. Our results highlight the importance of non-target screening in identifying CECs, and reveal the contamination risk of groundwater by landfill leachate.
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Affiliation(s)
- Yu Han
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Li-Xin Hu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Ting Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Jing Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Yu-Qing Wang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Jia-Hui Zhao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - You-Sheng Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Jian-Liang Zhao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
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27
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Taylor AC, Mills GA, Gravell A, Kerwick M, Fones GR. Pesticide fate during drinking water treatment determined through passive sampling combined with suspect screening and multivariate statistical analysis. WATER RESEARCH 2022; 222:118865. [PMID: 35868101 DOI: 10.1016/j.watres.2022.118865] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 07/05/2022] [Accepted: 07/12/2022] [Indexed: 06/15/2023]
Abstract
Emerging contaminants such as polar pesticides pose a potential risk to human health due to their presence in drinking water. However, their occurrence and fate in drinking water treatment plants is poorly understood. In this study we use passive sampling coupled to suspect screening and multivariate analysis to describe pesticide fate throughout the treatment stream of an operational drinking water treatment plant. ChemcatcherÒ passive sampling devices were deployed at sites (n = 6) positioned at all stages of the treatment stream during consecutive deployments (n = 20) over a twelve-month period. Sample extracts (n = 120) were analysed using high-resolution liquid chromatography-quadrupole-time-of-flight mass spectrometry and compounds identified against a commercially available database. A total of 58 pesticides and transformation products from different classes were detected. Statistical analysis of the qualitative screening data was performed to identify clusters of pesticides with similar fate during ozonation, granular activated carbon (GAC) filtration, and chlorination. The performance of each treatment process was investigated. Adsorption to GAC media was found to account for the greatest proportion of pesticide attenuation (average removal of 70% based on detection frequency), however, operational performance varied for certain pesticides during periods of episodic and sustained pollution. GAC breakthrough occurred for 21 compounds detected in the GAC filtrate. Eleven pesticides were found to occur in potable water following treatment. We developed a management plan containing controls, triggers, and responses, for five pesticides and a metabolite (atrazine, atrazine desethyl, DEET, dichlorobenzamide, metazachlor, and propyzamide) prioritised based on their current and future risk to treated water quality.
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Affiliation(s)
- Adam C Taylor
- School of the Environment, Geography and Geosciences, University of Portsmouth, Burnaby Road, Portsmouth PO1 3QL, United Kingdom
| | - Graham A Mills
- School of Pharmacy and Biomedical Sciences, University of Portsmouth, White Swan Road, Portsmouth PO1 2DT, United Kingdom
| | - Anthony Gravell
- Natural Resources Wales, Faraday Building, Swansea University, Singleton Campus, Swansea SA2 8PP, United Kingdom
| | - Mark Kerwick
- Southern Water Services, Southern House, Yeoman Road, Worthing, West Sussex BN13 3NX, United Kingdom
| | - Gary R Fones
- School of the Environment, Geography and Geosciences, University of Portsmouth, Burnaby Road, Portsmouth PO1 3QL, United Kingdom.
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28
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Wang YQ, Hu LX, Liu T, Zhao JH, Yang YY, Liu YS, Ying GG. Per- and polyfluoralkyl substances (PFAS) in drinking water system: Target and non-target screening and removal assessment. ENVIRONMENT INTERNATIONAL 2022; 163:107219. [PMID: 35405506 DOI: 10.1016/j.envint.2022.107219] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/25/2022] [Accepted: 03/26/2022] [Indexed: 06/14/2023]
Abstract
The massive use and the persistence of per- and polyfluoroalkyl substances (PFAS) have led to their frequent detection in aquatic environments, which may further threaten drinking water safety. So far, our knowledge about the occurrence of PFAS in drinking water system is still very limited. Here we investigated the occurrence and removal of PFAS in a drinking water system using non-target, suspect and target screening strategies. Sampling was performed in three seasons in the drinking water system including a water source, two drinking water treatment plants, and tap water in five households. The results showed detection of 17 homologous series with 51 homologues in non-target screening and 50 potential PFAS detected in suspect screening. Probable structures were proposed for 15 PFAS with high confidence levels (the first three of the five levels), with seven of them being reported for the first time in drinking water system. Semi-quantification was performed on seven homologous series based on target PFAS, the estimated total concentrations for non-target PFAS ranged between 4.10 and 17.6 ng/L. Nine out of 50 target PFAS were found and precisely quantified (<LOQ-13.4 ng/L) with predominance of perfluorocarboxylic acids (PFCA) and perfluorosulfonic acids (PFSA). All target and non-target PFAS were detected in tap water with similar concentrations in all three seasons. Removal efficiency for the detected PFAS in each processing unit was almost zero, indicating the recalcitrance of these chemicals to the conventional treatment process. The findings from this study clearly show the wide presence of PFAS in the whole drinking water treatment process, and suggest an urgent need for effective removal technology for this group of chemicals.
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Affiliation(s)
- Yu-Qing Wang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Li-Xin Hu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
| | - Ting Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Jia-Hui Zhao
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Yuan-Yuan Yang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - You-Sheng Liu
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China
| | - Guang-Guo Ying
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
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