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Tarábek P, Leonova N, Konovalova O, Kirchner M. Identification of organic contaminants in water and related matrices using untargeted liquid chromatography high-resolution mass spectrometry screening with MS/MS libraries. CHEMOSPHERE 2024; 366:143489. [PMID: 39374668 DOI: 10.1016/j.chemosphere.2024.143489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 09/02/2024] [Accepted: 10/04/2024] [Indexed: 10/09/2024]
Abstract
Nontargeted and suspect screening with liquid chromatography-high resolution mass spectrometry (LC-HRMS) has become an indispensable tool for quality assessment in the aquatic environment - complementary to targeted analysis of organic (micro)contaminants. An LC-HRMS method is presented, suitable for the analysis of a wide variety of water related matrices: surface water, groundwater, wastewater, sediment and sludge, including extracts from passive samplers and on-site solid phase enrichment, while focusing on the data processing aspect of the method. A field study is included to demonstrate the practical application and versatility of the whole process. HRMS/MS data were recorded following LC separation in both (ESI) positive and negative ionization modes using data dependent as well as data independent acquisition. Two vendor (Agilent's Personal Compound Database and Library and from National Institute of Standards and Technology) and one open (MassBank/EU) tandem mass spectral libraries were utilized for the identification of compounds via mass spectral match. The development of a novel software tool for parsing, grouping and reduction of MS/MS features in data files converted to mascot generic format (MGF) helped to substantially decrease the amount of time and effort needed for MS library search. While applying the method, in the course of the entire field study, 18771 detections (from 870 individual compounds) in total were recorded in 275 samples, resulting in 68.3 identified compounds per sample, on average. Among the top ten most frequently detected contaminants across all samples and sample types were pharmaceutical compounds carbamazepine, 4-acetamidoantipyrine, 4-formylaminoantipyrine, tramadol, lamotrigine and phenazone and industrial contaminants toluene-2-sulfonamide, tolytriazole, tris(2-butoxyethyl) phosphate and benzotriazole. Exploratory data analysis methods and tools enabled us to discover organic pollutant occurrence patterns within the comprehensive sets of qualitative data collected from various projects between the years 2018-2023. The results may be used as valuable inputs for future water quality monitoring programs.
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Affiliation(s)
- Peter Tarábek
- Water Research Institute, Nábr. arm. gen. L. Svobodu 5, 81249, Bratislava, Slovakia.
| | - Nataliia Leonova
- Water Research Institute, Nábr. arm. gen. L. Svobodu 5, 81249, Bratislava, Slovakia
| | - Olga Konovalova
- Water Research Institute, Nábr. arm. gen. L. Svobodu 5, 81249, Bratislava, Slovakia
| | - Michal Kirchner
- Water Research Institute, Nábr. arm. gen. L. Svobodu 5, 81249, Bratislava, Slovakia
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Bernier-Turpin G, Thiebault T, Alliot F, Mebold E, Guérin-Rechdaoui S, Oliveira M, Le Roux J, Moilleron R. Target and non-target screening of biomarkers in wastewater: towards a unique analytical methodology for sample preparation. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:6241-6256. [PMID: 39211955 DOI: 10.1039/d4ay00843j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
This study aims to optimize a single preparation methodology based on solid-phase extraction (SPE) that could fit both target and non-target screening of organic biomarkers in raw wastewater, allowing the cross-comparison of results obtained from a same dataset. The efficiency of SPE sorbents used alone (HLB) or in combination in a multilayer cartridge was evaluated based on (i) the extraction recovery and matrix effect in environmental samples (surface water and wastewater) for a list of biomarkers (pharmaceuticals, licit and illicit drugs, artificial sweeteners, isoprostanes, polyphenols) and (ii) a number of detected features and their intensity in HRMS. The selected method uses a combination of three SPE sorbents mixed together (HLB, X-AW and X-CW) and seems to take full advantage of each, providing satisfactory validation parameters (recovery, instrumental limit of detection, linearity range and limit of quantification) over a large range of physico-chemical properties while ensuring promising results for non-target screening applications. Of the 65 targeted compounds, nearly all of them (47) were detected in wastewater influent samples with concentration above the limit of quantification, while at the same time over 10 000 features were recorded according to the high resolution mass spectrometry (HRMS) fingerprint, holding out the promise that a common protocol for these two analyses, with their very contrasting constraints and objectives, is possible.
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Affiliation(s)
- Gauthier Bernier-Turpin
- Leesu - Univ Paris Est Creteil, Ecole des Ponts, Creteil, F-94010, France.
- METIS, Sorbonne Univ, CNRS, EPHE, PSL Univ, UMR 7619, F-75005 Paris, France
| | - Thomas Thiebault
- METIS, Sorbonne Univ, CNRS, EPHE, PSL Univ, UMR 7619, F-75005 Paris, France
| | - Fabrice Alliot
- METIS, Sorbonne Univ, CNRS, EPHE, PSL Univ, UMR 7619, F-75005 Paris, France
| | | | | | | | - Julien Le Roux
- Leesu - Univ Paris Est Creteil, Ecole des Ponts, Creteil, F-94010, France.
| | - Régis Moilleron
- Leesu - Univ Paris Est Creteil, Ecole des Ponts, Creteil, F-94010, France.
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Gunarathne V, Phillips AJ, Zanoletti A, Rajapaksha AU, Vithanage M, Di Maria F, Pivato A, Korzeniewska E, Bontempi E. Environmental pitfalls and associated human health risks and ecological impacts from landfill leachate contaminants: Current evidence, recommended interventions and future directions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169026. [PMID: 38056656 DOI: 10.1016/j.scitotenv.2023.169026] [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: 08/03/2023] [Revised: 10/17/2023] [Accepted: 11/29/2023] [Indexed: 12/08/2023]
Abstract
The improper management of solid waste, particularly the dumping of untreated municipal solid waste, poses a growing global challenge in both developed and developing nations. The generation of leachate is one of the significant issues that arise from this practice, and it can have harmful impacts on both the environment and public health. This paper presents an overview of the primary waste types that generate landfill leachate and their characteristics. This includes examining the distribution of waste types in landfills globally and how they have changed over time, which can provide valuable insights into potential pollutants in a given area and their trends. With a lack of specific regulations and growing concerns regarding environmental and health impacts, the paper also focuses on emerging contaminants. Furthermore, the environmental and ecological impacts of leachate, along with associated health risks, are analyzed. The potential applications of landfill leachate, suggested interventions and future directions are also discussed in the manuscript. Finally, this work addresses future research directions in landfill leachate studies, with attention, for the first time to the potentialities that artificial intelligence can offer for landfill leachate management, studies, and applications.
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Affiliation(s)
- Viraj Gunarathne
- Ecosphere Resilience Research Centre, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, CO 10250, Sri Lanka; University of Wuppertal, School of Architecture and Civil Engineering, Institute of Foundation Engineering, Water- and Waste-Management, Laboratory of Soil- and Groundwater-Management, Pauluskirchstraße 7, 42285 Wuppertal, Germany
| | - Ankur J Phillips
- Department of Microbiology, College of Basic Sciences and Humanities, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, 263145, Uttarakhand, India
| | - Alessandra Zanoletti
- INSTM and Chemistry for Technologies Laboratory, Department of Mechanical and Industrial Engineering, University of Brescia, Via Branze, 38, 25123 Brescia, Italy
| | - Anushka Upamali Rajapaksha
- Ecosphere Resilience Research Centre, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, CO 10250, Sri Lanka; Instrument Center, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda 10250, Sri Lanka
| | - Meththika Vithanage
- Ecosphere Resilience Research Centre, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, CO 10250, Sri Lanka
| | - Francesco Di Maria
- LAR5 Laboratory, Dipartimento di Ingegneria, University of Perugia, via G. Duranti 93, 06125 Perugia, Italy
| | - Alberto Pivato
- DICEA - Department of Civil, Environmental and Architectural Engineering, University of Padova, Via Marzolo 9, 35131 Padova, Italy
| | - Ewa Korzeniewska
- Department of Water Protection Engineering and Environmental Microbiology, The Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, Prawocheńskiego 1 Str., 10-719 Olsztyn, Poland
| | - Elza Bontempi
- INSTM and Chemistry for Technologies Laboratory, Department of Mechanical and Industrial Engineering, University of Brescia, Via Branze, 38, 25123 Brescia, Italy.
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Schulze B, Heffernan AL, Samanipour S, Gomez Ramos MJ, Veal C, Thomas KV, Kaserzon SL. Is Nontarget Analysis Ready for Regulatory Application? Influence of Peak-Picking Algorithms on Data Analysis. Anal Chem 2023; 95:18361-18369. [PMID: 38061068 DOI: 10.1021/acs.analchem.3c03003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
The use of peak-picking algorithms is an essential step in all nontarget analysis (NTA) workflows. However, algorithm choice may influence reliability and reproducibility of results. Using a real-world data set, the aim of this study was to investigate how different peak-picking algorithms influence NTA results when exploring temporal and/or spatial trends. For this, drinking water catchment monitoring data, using passive samplers collected twice per year across Southeast Queensland, Australia (n = 18 sites) between 2014 and 2019, was investigated. Data were acquired using liquid chromatography coupled to high-resolution mass spectrometry. Peak picking was performed using five different programs/algorithms (SCIEX OS, MSDial, self-adjusting-feature-detection, two algorithms within MarkerView), keeping parameters identical whenever possible. The resulting feature lists revealed low overlap: 7.2% of features were picked by >3 algorithms, while 74% of features were only picked by a single algorithm. Trend evaluation of the data, using principal component analysis, showed significant variability between the approaches, with only one temporal and no spatial trend being identified by all algorithms. Manual evaluation of features of interest (p-value <0.01, log fold change >2) for one sampling site revealed high rates of incorrectly picked peaks (>70%) for three algorithms. Lower rates (<30%) were observed for the other algorithms, but with the caveat of not successfully picking all internal standards used as quality control. The choice is therefore currently between comprehensive and strict peak picking, either resulting in increased noise or missed peaks, respectively. Reproducibility of NTA results remains challenging when applied for regulatory frameworks.
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Affiliation(s)
- Bastian Schulze
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
| | - Amy L Heffernan
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
| | - Saer Samanipour
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
- Van 't Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Maria Jose Gomez Ramos
- Chemistry and Physics Department, University of Almeria, Agrifood Campus of International Excellence (ceiA3), 04120 Almería, Spain
| | - Cameron Veal
- Seqwater, 117 Brisbane Street, Ipswich, QLD 4305, Australia
- UQ School of Civil Engineering, The University of Queensland, Building 49 Advanced Engineering Building, Staff House Road, St Lucia, QLD 4072, Australia
| | - Kevin V Thomas
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
| | - Sarit L Kaserzon
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
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Nováková P, Švecová H, Bořík A, Grabic R. Novel nontarget LC-HRMS-based approaches for evaluation of drinking water treatment. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:739. [PMID: 37233798 DOI: 10.1007/s10661-023-11348-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 05/03/2023] [Indexed: 05/27/2023]
Abstract
A conventional evaluation methodology for drinking water pollution focuses on analysing hundreds of compounds, usually by liquid chromatography-tandem mass spectrometry. High-resolution mass spectrometry allows comprehensive evaluation of all detected signals (compounds) based on their elemental composition, intensity, and numbers. We combined target analysis of 192 emerging micropollutants with nontarget (NT) full-scan/MS/MS methods to describe the impact of treatment steps in detail and assess drinking water treatment efficiency without compound identification. The removal efficiency based on target analytes ranged from - 143 to 97%, depending on the treatment section, technologies, and season. The same effect calculated for all signals detected in raw water by the NT method ranged between 19 and 65%. Ozonation increased the removal of micropollutants from the raw water but simultaneously caused the formation of new compounds. Moreover, ozonation byproducts showed higher persistence than products formed during other types of treatment. We evaluated chlorinated and brominated organics detected by specific isotopic patterns within the developed workflow. These compounds indicated anthropogenic raw water pollution but also potential treatment byproducts. We could match some of these compounds with libraries available in the software. We can conclude that passive sampling combined with nontargeted analysis shows to be a promising approach for water treatment control, especially for long-term monitoring of changes in technology lines because passive sampling dramatically reduces the number of samples and provides time-weighted average information for 2 to 4 weeks.
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Affiliation(s)
- Petra Nováková
- Faculty of Fisheries and Protection of Waters, South Bohemian Research Centre of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia in České Budějovice, Zátiší 728/II, 389 25, Vodňany, Czech Republic.
| | - Helena Švecová
- Faculty of Fisheries and Protection of Waters, South Bohemian Research Centre of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia in České Budějovice, Zátiší 728/II, 389 25, Vodňany, Czech Republic
| | - Adam Bořík
- Faculty of Fisheries and Protection of Waters, South Bohemian Research Centre of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia in České Budějovice, Zátiší 728/II, 389 25, Vodňany, Czech Republic
| | - Roman Grabic
- Faculty of Fisheries and Protection of Waters, South Bohemian Research Centre of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia in České Budějovice, Zátiší 728/II, 389 25, Vodňany, Czech Republic
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Kharel S, Tentscher PR, Bester K. Further transformation of the primary ozonation products of tramadol- and venlafaxine N-oxide: Mechanistic and structural considerations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 845:157259. [PMID: 35817117 DOI: 10.1016/j.scitotenv.2022.157259] [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: 03/10/2022] [Revised: 06/04/2022] [Accepted: 07/05/2022] [Indexed: 06/15/2023]
Abstract
Ozonation has been used to effectively remove micropollutants from the secondary effluent in several wastewater treatment plants. It is known that ozonation transforms tertiary amine compounds into their respective N-oxides, however in an earlier study a mass balance could not be closed at elevated ozone concentrations, leading to the assumption that more ozonation products are possible. This study was conducted to elucidate which (hitherto unknown) ozonation products can be formed from venlafaxine and tramadol when ozonating wastewater. Ozonation experiments were performed with tramadol and venlafaxine N-oxide in two different set-ups. Both tramadol- and venlafaxine N-oxide degraded during ozonation in pure (deionized) water in both semi-continuous and batch mode ozonation set-ups. 13 and 17 new transformation products were detected from tramadol- and venlafaxine N-oxide respectively, using high resolution mass spectrometry with ESI(+) ionization. Empirical chemical formulas were proposed based on the determination of the exact masses and interpretation of the product ion spectra. These transformation products result from the addition of one to three oxygen atoms and removal of C, -CH2, C2H2, C3H6, etc., from the parent molecule, respectively. Quenching experiments suggested that most of the transformation products originated from the direct reaction with ozone (eight for tramadol N-oxide and ten for venlafaxine N-oxide), whereas fewer products originated from the reaction with OH radicals (three for tramadol N-oxide and three for venlafaxine N-oxide). Reaction mechanisms and chemical structures of products are proposed, based on the available active sites and past literature on ozone reaction mechanisms. The experimental results are compared to theory and literature on ozone reactive sites and ozone reaction mechanisms. All in all this shows that there can be multiple ozonation products, and ozonation pathways can be complex, even if initially only one ozonation product is formed.
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Affiliation(s)
- Suman Kharel
- Aarhus University, Department of Environmental Science, Frederiksborgvej 399, 4000 Roskilde, Denmark; Centre for Water Technology (WATEC) at Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Peter R Tentscher
- Department of Chemistry and Bioscience, Aalborg University, 9220 Aalborg East, Denmark
| | - Kai Bester
- Aarhus University, Department of Environmental Science, Frederiksborgvej 399, 4000 Roskilde, Denmark; Centre for Water Technology (WATEC) at Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark.
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7
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Du Y, Xu X, Liu Q, Bai L, Hang K, Wang D. Identification of organic pollutants with potential ecological and health risks in aquatic environments: Progress and challenges. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:150691. [PMID: 34600995 DOI: 10.1016/j.scitotenv.2021.150691] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/25/2021] [Accepted: 09/26/2021] [Indexed: 06/13/2023]
Abstract
Thousands of organic pollutants are intentionally and unintentionally discharged into water bodies, adversely affecting the ecological environment and human health. Screening for organic pollutants that pose a potential risk in aquatic environments is essential for risk management. This review evaluates the processes, methods, and technologies used to screen such pollutants in the aquatic environment and discuss their advantages and disadvantages, in addition to the challenges and knowledge gaps in this field. Combining non-target screening, target screening, and suspect screening is often effective for compiling a list of potential risk compounds and enables the quantitative analysis of these compounds. Sample preparation technologies and pollutant detection technologies considerably affect the results of pollutant screening. The limited amount of chemical and toxicological information contained in databases hinders the screening of organic pollutants with potential risk. Machine learning, high-throughput methods, and other technologies will increase the accuracy and convenience of screening for high-risk pollutants. This review provides an important reference for screening these compounds in aquatic environments and can be used in future pollutant screening and risk management.
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Affiliation(s)
- Yanjun Du
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China; University of Chinese Academy of Sciences, 100049 Beijing, China; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 100021 Beijing, China
| | - Xiong Xu
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China
| | - Quanzhen Liu
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China; University of Chinese Academy of Sciences, 100049 Beijing, China
| | - Lu Bai
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China; University of Chinese Academy of Sciences, 100049 Beijing, China
| | - Kexin Hang
- Experimental High School Attached to Beijing Normal University, 100052 Beijing, China
| | - Donghong Wang
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China; University of Chinese Academy of Sciences, 100049 Beijing, China.
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Evaluation of Sample Preparation Methods for Non-Target Screening of Organic Micropollutants in Urban Waters Using High-Resolution Mass Spectrometry. Molecules 2021; 26:molecules26237064. [PMID: 34885646 PMCID: PMC8659043 DOI: 10.3390/molecules26237064] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 11/18/2021] [Accepted: 11/19/2021] [Indexed: 02/02/2023] Open
Abstract
Non-target screening (NTS) has gained interest in recent years for environmental monitoring purposes because it enables the analysis of a large number of pollutants without predefined lists of molecules. However, sample preparation methods are diverse, and few have been systematically compared in terms of the amount and relevance of the information obtained by subsequent NTS analysis. The goal of this work was to compare a large number of sample extraction methods for the unknown screening of urban waters. Various phases were tested for the solid-phase extraction of micropollutants from these waters. The evaluation of the different phases was assessed by statistical analysis based on the number of detected molecules, their range, and physicochemical properties (molecular weight, standard recoveries, polarity, and optical properties). Though each cartridge provided its own advantages, a multilayer cartridge combining several phases gathered more information in one single extraction by benefiting from the specificity of each one of its layers.
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Gupta S, Aga D, Pruden A, Zhang L, Vikesland P. Data Analytics for Environmental Science and Engineering Research. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:10895-10907. [PMID: 34338518 DOI: 10.1021/acs.est.1c01026] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The advent of new data acquisition and handling techniques has opened the door to alternative and more comprehensive approaches to environmental monitoring that will improve our capacity to understand and manage environmental systems. Researchers have recently begun using machine learning (ML) techniques to analyze complex environmental systems and their associated data. Herein, we provide an overview of data analytics frameworks suitable for various Environmental Science and Engineering (ESE) research applications. We present current applications of ML algorithms within the ESE domain using three representative case studies: (1) Metagenomic data analysis for characterizing and tracking antimicrobial resistance in the environment; (2) Nontarget analysis for environmental pollutant profiling; and (3) Detection of anomalies in continuous data generated by engineered water systems. We conclude by proposing a path to advance incorporation of data analytics approaches in ESE research and application.
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Affiliation(s)
- Suraj Gupta
- The Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Diana Aga
- Department of Chemistry, University at Buffalo, The State University of New York, Buffalo, New York 14226, United States
| | - Amy Pruden
- Via Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Liqing Zhang
- Department of Computer Science, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Peter Vikesland
- Via Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
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Qian Y, Wang X, Wu G, Wang L, Geng J, Yu N, Wei S. Screening priority indicator pollutants in full-scale wastewater treatment plants by non-target analysis. JOURNAL OF HAZARDOUS MATERIALS 2021; 414:125490. [PMID: 33676247 DOI: 10.1016/j.jhazmat.2021.125490] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 02/05/2021] [Accepted: 02/21/2021] [Indexed: 06/12/2023]
Abstract
Wastewater treatment plants (WWTPs) are the main sources of emerging contaminants (ECs) in aquatic environment. However, the standards for limiting emerging pollutants in effluent are extremely lacking. We investigated the occurrence and removal of emerging pollutants in 16 WWTPs in China using non-target analysis. 568 substances screened out were divided into 9 kinds including 167 pharmaceuticals, 113 natural substances, 85 pesticides, 86 endogenous substances, 64 chemical raw materials, 14 personal care products, 17 food additives, 6 hormones and 16 others. And they were divided into 5 fates. Pesticides and pharmaceutical compounds seemed to be the most notable categories, the kinds detected in each sample is the largest compared with other compounds. Besides, the average removal rate of pesticides and pharmaceuticals in all WWTPs were the lowest, at 9.54% and 23.77%, respectively. Priority pollutants were screened by considering distribution of pollutants with different fates. Pollutants with the same fate especially "consistent" in different WWTPs had attracted attention. 4 potential priority pollutants including metoprolol, carbamazepine, 10, 11-dihydro-10, 11-dihydroxycarbamazepine and irbesartan were proposed. And it was found that the 4 compounds, "consistent suspects" and "consistent non-targets" had similar rankings of removal rate in 16 WWTPs, which can reflect the performance of different WWTPs.
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Affiliation(s)
- Yuli Qian
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023 Jiangsu, PR China.
| | - Xuebing Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023 Jiangsu, PR China.
| | - Gang Wu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023 Jiangsu, PR China.
| | - Liye Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023 Jiangsu, PR China.
| | - Jinju Geng
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023 Jiangsu, PR China.
| | - Nanyang Yu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023 Jiangsu, PR China.
| | - Si Wei
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023 Jiangsu, PR China.
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Kiefer K, Du L, Singer H, Hollender J. Identification of LC-HRMS nontarget signals in groundwater after source related prioritization. WATER RESEARCH 2021; 196:116994. [PMID: 33773453 DOI: 10.1016/j.watres.2021.116994] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 02/26/2021] [Accepted: 02/28/2021] [Indexed: 05/12/2023]
Abstract
Groundwater is a major drinking water resource but its quality with regard to organic micropollutants (MPs) is insufficiently assessed. Therefore, we aimed to investigate Swiss groundwater more comprehensively using liquid chromatography high-resolution tandem mass spectrometry (LC-HRMS/MS). First, samples from 60 sites were classified as having high or low urban or agricultural influence based on 498 target compounds associated with either urban or agricultural sources. Second, all LC-HRMS signals were related to their potential origin (urban, urban and agricultural, agricultural, or not classifiable) based on their occurrence and intensity in the classified samples. A considerable fraction of estimated concentrations associated with urban and/or agricultural sources could not be explained by the 139 detected targets. The most intense nontarget signals were automatically annotated with structure proposals using MetFrag and SIRIUS4/CSI:FingerID with a list of >988,000 compounds. Additionally, suspect screening was performed for 1162 compounds with predicted high groundwater mobility from primarily urban sources. Finally, 12 nontargets and 11 suspects were identified unequivocally (Level 1), while 17 further compounds were tentatively identified (Level 2a/3). amongst these were 13 pollutants thus far not reported in groundwater, such as: the industrial chemicals 2,5-dichlorobenzenesulfonic acid (19 detections, up to 100 ng L-1), phenylphosponic acid (10 detections, up to 50 ng L-1), triisopropanolamine borate (2 detections, up to 40 ng L-1), O-des[2-aminoethyl]-O-carboxymethyl dehydroamlodipine, a transformation product (TP) of the blood pressure regulator amlodipine (17 detections), and the TP SYN542490 of the herbicide metolachlor (Level 3, 33 detections, estimated concentrations up to 100-500 ng L-1). One monitoring site was far more contaminated than other sites based on estimated total concentrations of potential MPs, which was supported by the elucidation of site-specific nontarget signals such as the carcinogen chlorendic acid, and various naphthalenedisulfonic acids. Many compounds remained unknown, but overall, source related prioritisation proved an effective approach to support identification of compounds in groundwater.
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Affiliation(s)
- Karin Kiefer
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, 8092 Zurich, Switzerland
| | - Letian Du
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, 8092 Zurich, Switzerland
| | - Heinz Singer
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
| | - Juliane Hollender
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, 8092 Zurich, Switzerland.
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12
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Target, suspect and non-target screening analysis from wastewater treatment plant effluents to drinking water using collision cross section values as additional identification criterion. Anal Bioanal Chem 2021; 414:425-438. [PMID: 33768366 PMCID: PMC8748347 DOI: 10.1007/s00216-021-03263-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 02/18/2021] [Accepted: 03/01/2021] [Indexed: 12/13/2022]
Abstract
The anthropogenic entry of organic micropollutants into the aquatic environment leads to a potential risk for drinking water resources and the drinking water itself. Therefore, sensitive screening analysis methods are needed to monitor the raw and drinking water quality continuously. Non-target screening analysis has been shown to allow for a more comprehensive investigation of drinking water processes compared to target analysis alone. However, non-target screening is challenging due to the many features that can be detected. Thus, data processing techniques to reduce the high number of features are necessary, and prioritization techniques are important to find the features of interest for identification, as identification of unknown substances is challenging as well. In this study, a drinking water production process, where drinking water is supplied by a water reservoir, was investigated. Since the water reservoir provides surface water, which is anthropogenically influenced by wastewater treatment plant (WWTP) effluents, substances originating from WWTP effluents and reaching the drinking water were investigated, because this indicates that they cannot be removed by the drinking water production process. For this purpose, ultra-performance liquid chromatography coupled with an ion-mobility high-resolution mass spectrometer (UPLC-IM-HRMS) was used in a combined approach including target, suspect and non-target screening analysis to identify known and unknown substances. Additionally, the role of ion-mobility-derived collision cross sections (CCS) in identification is discussed. To that end, six samples (two WWTP effluent samples, a surface water sample that received the effluents, a raw water sample from a downstream water reservoir, a process sample and the drinking water) were analyzed. Positive findings for a total of 60 substances in at least one sample were obtained through quantitative screening. Sixty-five percent (15 out of 23) of the identified substances in the drinking water sample were pharmaceuticals and transformation products of pharmaceuticals. Using suspect screening, further 33 substances were tentatively identified in one or more samples, where for 19 of these substances, CCS values could be compared with CCS values from the literature, which supported the tentative identification. Eight substances were identified by reference standards. In the non-target screening, a total of ten features detected in all six samples were prioritized, whereby metoprolol acid/atenolol acid (a transformation product of the two β-blockers metoprolol and atenolol) and 1,3-benzothiazol-2-sulfonic acid (a transformation product of the vulcanization accelerator 2-mercaptobenzothiazole) were identified with reference standards. Overall, this study demonstrates the added value of a comprehensive water monitoring approach based on UPLC-IM-HRMS analysis.
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Castro V, Quintana JB, Carpinteiro I, Cobas J, Carro N, Cela R, Rodil R. Combination of different chromatographic and sampling modes for high-resolution mass spectrometric screening of organic microcontaminants in water. Anal Bioanal Chem 2021; 413:5607-5618. [PMID: 33625537 DOI: 10.1007/s00216-021-03226-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/19/2021] [Accepted: 02/08/2021] [Indexed: 11/30/2022]
Abstract
This study explores the combination of two sampling strategies (polar organic compounds integrative sampler (POCIS) vs. spot sampling) and four chromatographic retention modes (reversed-phase liquid chromatography (RPLC), hydrophilic interaction liquid chromatography (HILIC), mixed-mode liquid chromatography (MMLC) and supercritical fluid chromatography (SFC)) for high-resolution mass spectrometry (HRMS) screening of organic pollutants in water samples. To this end, a suspect screening approach, using iterative data-dependent tandem mass spectrometry (MS/MS) driven by a library of 3227 chemicals (including pharmaceuticals, pesticides, drugs of abuse, human metabolites, industrial chemicals and other pollutants), was employed. Results show that POCIS can afford a larger number of positive identifications as compared to spot sampling. On the other hand, the best suited retention mechanisms, in terms of identified analytes, are SFC, and followed by RPLC, MMLC and HILIC. However, the best combination (POCIS + SFC) would only allow the identification of 67% of the detected analytes. Thus, the combination of the two sampling strategies, spot and passive sampling, with two orthogonal retention mechanisms, RPLC and SFC, is proposed in order to maximize the number of analytes detected (89%). This strategy was applied to different surface water (river and estuary) samples from Galicia (NW Spain). A total of 155 compounds were detected at a confidence level 2a, from which the major class was pharmaceuticals (61%).
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Affiliation(s)
- Verónica Castro
- Department of Analytical Chemistry, Institute of Research on Chemical and Biological Analysis (IAQBUS), Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain
| | - José Benito Quintana
- Department of Analytical Chemistry, Institute of Research on Chemical and Biological Analysis (IAQBUS), Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain.
| | - Inmaculada Carpinteiro
- Department of Analytical Chemistry, Institute of Research on Chemical and Biological Analysis (IAQBUS), Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain
| | - Julio Cobas
- INTECMAR - Technological Institute for the Monitoring of the Marine Environment of Galicia, Peirao de Vilaxoán S/N, 36611, Vilagarcía de Arousa, Spain
| | - Nieves Carro
- INTECMAR - Technological Institute for the Monitoring of the Marine Environment of Galicia, Peirao de Vilaxoán S/N, 36611, Vilagarcía de Arousa, Spain
| | - Rafael Cela
- Department of Analytical Chemistry, Institute of Research on Chemical and Biological Analysis (IAQBUS), Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain
| | - Rosario Rodil
- Department of Analytical Chemistry, Institute of Research on Chemical and Biological Analysis (IAQBUS), Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain.
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14
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Čelić M, Jaén-Gil A, Briceño-Guevara S, Rodríguez-Mozaz S, Gros M, Petrović M. Extended suspect screening to identify contaminants of emerging concern in riverine and coastal ecosystems and assessment of environmental risks. JOURNAL OF HAZARDOUS MATERIALS 2021; 404:124102. [PMID: 33049635 DOI: 10.1016/j.jhazmat.2020.124102] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 09/18/2020] [Accepted: 09/22/2020] [Indexed: 06/11/2023]
Abstract
A suspect screening methodology was developed for the fast and reliable identification of 360 contaminants of emerging concern (CECs) of anthropogenic origin in the vulnerable area of the Ebro Delta (Catalonia, Spain) and to track for potential contamination sources. The suspect screening methodology was combined with a risk assessment approach to prioritize the most ecologically relevant CECs. Out of the 360 suspects, 37 compounds were tentatively identified, 22 of which were fully confirmed using isotopically labelled standards. The detected suspect compounds included pesticides, pharmaceuticals, personal care products, stimulants and their metabolites. Pesticides were more ubiquitous in irrigation and drainage channels, while pharmaceuticals, stimulants, and personal care products were the most common in effluent wastewaters, in the receiving freshwater systems as well as in the marine environment. Ten compounds were found to be of high ecological concern, including the pharmaceuticals telmisartan, venlafaxine, and carbamazepine, the herbicides terbuthylazine, desethylterbuthylazine, and terbutryn, the fungicides azoxystrobin, tebuconazole and prochloraz and the insecticide tebufenozide. These compounds could be used as markers of anthropogenic contamination in riverine and coastal ecosystems.
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Affiliation(s)
- Mira Čelić
- Catalan Institute for Water Research (ICRA), C/Emili Grahit 101, 17003 Girona, Spain; University of Girona, Plaça de Sant Domenec, 3, 17004 Girona, Spain
| | - Adrián Jaén-Gil
- Catalan Institute for Water Research (ICRA), C/Emili Grahit 101, 17003 Girona, Spain; University of Girona, Plaça de Sant Domenec, 3, 17004 Girona, Spain
| | | | - Sara Rodríguez-Mozaz
- Catalan Institute for Water Research (ICRA), C/Emili Grahit 101, 17003 Girona, Spain; University of Girona, Plaça de Sant Domenec, 3, 17004 Girona, Spain
| | - Meritxell Gros
- Catalan Institute for Water Research (ICRA), C/Emili Grahit 101, 17003 Girona, Spain; University of Girona, Plaça de Sant Domenec, 3, 17004 Girona, Spain.
| | - Mira Petrović
- Catalan Institute for Water Research (ICRA), C/Emili Grahit 101, 17003 Girona, Spain; Catalan Institution for Research and Advanced Studies (ICREA), Passeig Lluís Companys 23, 08010 Barcelona, Spain
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15
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Oberleitner D, Stütz L, Schulz W, Bergmann A, Achten C. Seasonal performance assessment of four riverbank filtration sites by combined non-target and effect-directed analysis. CHEMOSPHERE 2020; 261:127706. [PMID: 32717513 DOI: 10.1016/j.chemosphere.2020.127706] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 07/08/2020] [Accepted: 07/12/2020] [Indexed: 06/11/2023]
Abstract
Targeting the most relevant organic micropollutants (OMP) in routine analysis appears difficult due to formation of transformation products of unknown concentration or toxicity. Performance assessment of water purification processes is still based upon limited target data. Therefore, we broadened the assessment of the removal efficiencies with combined non-target and effect-directed analysis at four riverbank filtration (RBF) sites in Germany. To assess micropollutant elimination, constancy and formation during different seasons, considering local redox conditions, travel distances and total component number in the river, non-target analysis features were grouped into categories. Furthermore, RBF sites were investigated with four endpoints (baseline toxicity, acetylcholinesterase inhibition, antibiotic effects and estrogenic effects) for thin-layer chromatography - effect-directed analysis for the first time. Results showed elimination or reduction of many features and effects, but also constancy and formation of varying proportions. Fall river samples showed precipitation-caused dilution in both tests. Spring samples showed increased effects only in acetylcholinesterase inhibition and estrogenic effects, probably due to phytoestrogens or algae bloom during vegetation period. Sites were ranked considering the total number of features, group proportions, seasonal variations and intensity and number of effects in abstraction wells. Oxic conditions and low initial component numbers in the river (Ruhr sites) resulted in less effects and fewer formations. Longer travel distances were important for a more efficient reduction of effects and features. Combination of non-target and effect-directed analysis proved to be valuable for a more comprehensive assessment of process performance beyond target analysis as also unknown OMP are observed with both methods.
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Affiliation(s)
- Daniela Oberleitner
- Institute of Geology and Palaeontology - Applied Geology, University of Münster, Corrensstraße 24, 48149 Münster, Germany
| | - Lena Stütz
- Laboratory for Operation Control and Research, Zweckverband Landeswasserversorgung, Am Spitzigen Berg 1, 89129 Langenau, Germany
| | - Wolfgang Schulz
- Laboratory for Operation Control and Research, Zweckverband Landeswasserversorgung, Am Spitzigen Berg 1, 89129 Langenau, Germany
| | - Axel Bergmann
- Rheinisch-Westfälische Wasserwerksgesellschaft mbH, Am Schloß Broich 1-3, 45479 Mülheim (Ruhr), Germany
| | - Christine Achten
- Institute of Geology and Palaeontology - Applied Geology, University of Münster, Corrensstraße 24, 48149 Münster, Germany.
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16
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Wang T, Duedahl-Olesen L, Lauritz Frandsen H. Targeted and non-targeted unexpected food contaminants analysis by LC/HRMS: Feasibility study on rice. Food Chem 2020; 338:127957. [PMID: 32919373 DOI: 10.1016/j.foodchem.2020.127957] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 07/30/2020] [Accepted: 08/28/2020] [Indexed: 10/23/2022]
Abstract
A widely applicable analytical LC/HRMS method based on ion source optimization, data treatment optimization on rice matrix was developed. The effects of key parameters of ion source, and their interactions on ESI response were studied on HPLC-QTOF. Compared with center points, 40% and 20% increase of response factors in the positive and negative mode can be achieved by ion source optimization, respectively. Data processing strategies inspired from metabolomics and multi-targeted analysis were compared and developed using case and control rice samples. Highly automated workflow using XCMS achieved highest mass accuracy, highest detection rate of 96% for 5 μg/kg in a non-targeted way. A clear distinction between the control and contaminated samples by PCA and PLS-DA was also achieved by this workflow using XCMS, even for the concentration of 5 μg/kg.
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Affiliation(s)
- Tingting Wang
- National Food Institute, Research Group for Analytical Food Chemistry, Technical University of Denmark, Kemitorvet Building 202, Kgs. Lyngby, DK-2800, Denmark.
| | - Lene Duedahl-Olesen
- National Food Institute, Research Group for Analytical Food Chemistry, Technical University of Denmark, Kemitorvet Building 202, Kgs. Lyngby, DK-2800, Denmark
| | - Henrik Lauritz Frandsen
- National Food Institute, Research Group for Analytical Food Chemistry, Technical University of Denmark, Kemitorvet Building 202, Kgs. Lyngby, DK-2800, Denmark
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17
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Beckers LM, Brack W, Dann JP, Krauss M, Müller E, Schulze T. Unraveling longitudinal pollution patterns of organic micropollutants in a river by non-target screening and cluster analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 727:138388. [PMID: 32335446 DOI: 10.1016/j.scitotenv.2020.138388] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 03/30/2020] [Accepted: 03/31/2020] [Indexed: 05/28/2023]
Abstract
The pollution of aquatic ecosystems with complex and largely unknown mixtures of organic micropollutants is not sufficiently addressed with current monitoring strategies based on target screening methods. In this study, we implemented an open-source workflow based on non-target screening to unravel longitudinal pollution patterns of organic micropollutants along a river course. The 47 km long Holtemme River, a tributary of the Bode River (both Saxony-Anhalt, Germany), was used as a case study. Sixteen grab samples were taken along the river and analyzed by liquid chromatography coupled to high-resolution mass spectrometry. We applied a cluster analysis specifically designed for longitudinal data sets to identify spatial pollutant patterns and prioritize peaks for compound identification. Three main pollution patterns were identified representing pollutants entering a) from wastewater treatment plants, b) at the confluence with the Bode River and c) from diffuse and random inputs via small point sources and groundwater input. By further sub-clustering of the main patterns, source-related fingerprints were revealed. The main patterns were characterized by specific isotopologue signatures and the abundance of peaks in homologue series representing the major (pollution) sources. Furthermore, we identified 25 out of 38 representative compounds for the patterns by structure elucidation. The workflow represents an important contribution to the ongoing attempts to understand, monitor, prioritize and manage complex environmental mixtures and may be applied to other settings.
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Affiliation(s)
- Liza-Marie Beckers
- Helmholtz Centre for Environmental Research - UFZ, Department of Effect-Directed Analysis, Permoserstr.15, 04318 Leipzig, Germany; RWTH Aachen University, Institute for Environmental Research (Biology V), Department of Ecosystem Analysis (ESA), Worringer Weg 1, 52074 Aachen, Germany.
| | - Werner Brack
- Helmholtz Centre for Environmental Research - UFZ, Department of Effect-Directed Analysis, Permoserstr.15, 04318 Leipzig, Germany; RWTH Aachen University, Institute for Environmental Research (Biology V), Department of Ecosystem Analysis (ESA), Worringer Weg 1, 52074 Aachen, Germany
| | - Janek Paul Dann
- Helmholtz Centre for Environmental Research - UFZ, Department of Effect-Directed Analysis, Permoserstr.15, 04318 Leipzig, Germany; RWTH Aachen University, Institute for Environmental Research (Biology V), Department of Ecosystem Analysis (ESA), Worringer Weg 1, 52074 Aachen, Germany
| | - Martin Krauss
- Helmholtz Centre for Environmental Research - UFZ, Department of Effect-Directed Analysis, Permoserstr.15, 04318 Leipzig, Germany
| | - Erik Müller
- Helmholtz Centre for Environmental Research - UFZ, Department of Effect-Directed Analysis, Permoserstr.15, 04318 Leipzig, Germany; RWTH Aachen University, Institute for Environmental Research (Biology V), Department of Ecosystem Analysis (ESA), Worringer Weg 1, 52074 Aachen, Germany
| | - Tobias Schulze
- Helmholtz Centre for Environmental Research - UFZ, Department of Effect-Directed Analysis, Permoserstr.15, 04318 Leipzig, Germany
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18
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Minkus S, Grosse S, Bieber S, Veloutsou S, Letzel T. Optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry. Anal Bioanal Chem 2020; 412:4953-4966. [PMID: 32488388 PMCID: PMC8206052 DOI: 10.1007/s00216-020-02743-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 05/26/2020] [Accepted: 05/27/2020] [Indexed: 12/04/2022]
Abstract
Highly polar trace organic compounds, which are persistent, mobile, and toxic (PMT) or are very persistent and very mobile (vPvM) in the aquatic environment, may pose a risk to surface water, ground water, and drinking water supplies. Despite the advances in liquid chromatography-mass spectrometry, there often exists an analytical blind spot when it comes to very polar chemicals. This study seeks to make a broad polarity range analytically accessible by means of serially coupling reversed-phase liquid chromatography (RPLC) and hydrophilic interaction liquid chromatography (HILIC) to high-resolution mass spectrometry (HRMS). Moreover, a workflow is presented using optimized data processing of nontarget screening (NTS) data and subsequently generating candidate lists for the identification of very polar molecules via an open-access NTS platform and implemented compound database. First, key input parameters and filters of the so-called feature extraction algorithms were identified, and numerical performance indicators were defined to systematically optimize the data processing method. Second, all features from the very polar HILIC elution window were uploaded to the STOFF-IDENT database as part of the FOR-IDENT open-access NTS platform, which contains additional physicochemical information, and the features matched with potential compounds by their accurate mass. The hit list was filtered for compounds with a negative log D value, indicating that they were (very) polar. For instance, 46 features were assigned to 64 candidate compounds originating from a set of 33 samples from the Isar river in Germany. Three PMT candidates (e.g., guanylurea, melamine, and 1,3-dimethylimidazolidin-2-one) were illustratively validated using the respective reference standards. In conclusion, these findings demonstrate that polarity-extended chromatography reproducibly retards and separates (very) polar compounds from surface waters. These findings further indicate that a transparent and robust data processing workflow for nontarget screening data is available for addressing new (very) polar substances in the aqueous environment.
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Affiliation(s)
- Susanne Minkus
- Technical University of Munich (Chair of Urban Water Systems Engineering), Am Coulombwall 3, 85748, Garching, Germany.,Analytisches Forschungsinstitut für Non-Target Screening GmbH (AFIN-TS), Am Mittleren Moos 48, 86167, Augsburg, Germany
| | - Sylvia Grosse
- Technical University of Munich (Chair of Urban Water Systems Engineering), Am Coulombwall 3, 85748, Garching, Germany.,Thermo Fisher Scientific, Dornierstraße 4, 82110, Germering, Germany
| | - Stefan Bieber
- Analytisches Forschungsinstitut für Non-Target Screening GmbH (AFIN-TS), Am Mittleren Moos 48, 86167, Augsburg, Germany
| | - Sofia Veloutsou
- Technical University of Munich (Chair of Urban Water Systems Engineering), Am Coulombwall 3, 85748, Garching, Germany.,, N. Votsi 35, 10445, Athens, Greece
| | - Thomas Letzel
- Technical University of Munich (Chair of Urban Water Systems Engineering), Am Coulombwall 3, 85748, Garching, Germany. .,Analytisches Forschungsinstitut für Non-Target Screening GmbH (AFIN-TS), Am Mittleren Moos 48, 86167, Augsburg, Germany.
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19
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Kruve A. Strategies for Drawing Quantitative Conclusions from Nontargeted Liquid Chromatography-High-Resolution Mass Spectrometry Analysis. Anal Chem 2020; 92:4691-4699. [PMID: 32134258 DOI: 10.1021/acs.analchem.9b03481] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
This Feature aims at giving an overview of different possibilities for quantitatively comparing the results obtained from LC-HRMS-based nontargeted analysis. More specifically, quantification via structurally similar internal standards, different isotope labeling strategies, radiolabeling, and predicted ionization efficiencies are reviewed.
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Affiliation(s)
- Anneli Kruve
- Institute of Chemistry, University of Tartu, Ravila 14a, Tartu 50411, Estonia.,Department of Environmental Science and Analytical Chemistry (ACES), Stockholm University, SE-106 91 Stockholm, Sweden
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20
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Gao S, Liu H, Chang H, Zhang Z, Hu J, Tao S, Wan Y. Visualized Metabolic Disorder and Its Chemical Inducer in Wild Crucian Carp from Taihu Lake, China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:3343-3352. [PMID: 32091217 DOI: 10.1021/acs.est.0c00099] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
A variety of anthropogenic chemicals can disrupt the equilibrium of intrinsic biological metabolites in organisms, leading to metabolic disorders and an increased risk of metabolic syndromes. However, exposure to pollutants that induce metabolic disorders in wildlife as a cause of adverse effects is unknown. In this study, approximately 3108 compounds, including 11 groups of metabolites and 388 pollutants, were simultaneously identified in the blood of wild crucian carp (Carassius auratus) captured in three bays of Taihu Lake, China. A visualized network linking thousands of co-regulated metabolites was automatically produced for the screened signals. This comprehensive view of the differences in blood metabolite profiles in carp from the north and south bays showed that triglycerides (TGs) were the intrinsic molecules most affected by differing environmental pollution in each bay. The regional differences in metabolite profiles were linked to exposure to screened perfluorinated compounds that displayed corresponding regional differences in concentrations and effects on TGs in in vivo exposure tests. Perfluoroundecanoic acid (PFUnDA) was the key pollutant responsible for the variation in blood TGs in wild crucian carp, and exposure to PFUnDA resulted in extremely high biological activity on lipid deposition in the liver tissues of crucian carp at environmental levels.
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Affiliation(s)
- Shixiong Gao
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Hang Liu
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Hong Chang
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Sciences & Engineering, Beijing Forestry University, Beijing 100083, China
| | - Zhaobin Zhang
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Jianying Hu
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Shu Tao
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Yi Wan
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
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21
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Nürenberg G, Kunkel U, Wick A, Falås P, Joss A, Ternes TA. Nontarget analysis: A new tool for the evaluation of wastewater processes. WATER RESEARCH 2019; 163:114842. [PMID: 31323503 DOI: 10.1016/j.watres.2019.07.009] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 05/17/2019] [Accepted: 07/04/2019] [Indexed: 06/10/2023]
Abstract
Strategies to determine the removal efficiency of micropollutants in wastewater treatment plants (WWTPs) are widely discussed. Especially the evaluation of the potential benefit of further advanced treatment steps such as an additional tertiary treatment based on ozonation or activated carbon have come into focus. Such evaluation strategies are often based on the removal behavior of known micropollutants via target or suspected analysis. The utilization of nontarget analysis is considered to lead to a more comprehensive picture as also unknown or not expected micropollutants are analyzed. Here, the results of an evaluation via target and nontarget analysis were compared for biological treatment (BT) processes of eleven full-scale WWTPs and three different post-treatments (PTs): one sand filter (SF) and two granular activated carbon (GAC) filters. The similarity of the determined removals from target and nontarget analysis of the BTs increased significantly by excluding easily degradable "features" from the nontarget evaluation. A similar ranking of the removal trends for the BTs could also be achieved by comparing this new subset of nontarget features with a set of nine readily to moderately biodegradable micropollutants. This observation suggests that a performance ranking of BTs based either on target or nontarget analysis is plausible. In contrast to the BTs, the evaluation of the three PTs revealed that the difference of feature removal between SF and the two GACs was small, but large for the target analytes with substantially higher removal effciencies for the GACs compared to the SF. In addition to the removal behavior, the nontarget analysis provided further information about the number and quantity of transformation products (TPs) in the effluent from the BTs. For all BTs more than half (55-67%) of the features detected in the effluent were not found in the influent. A comparable proportion of TPs was also detected after GAC and sand filtration due to their microbial activities.
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Affiliation(s)
- Gudrun Nürenberg
- Federal Institute of Hydrology (BfG), D-56068, Koblenz, Am Mainzer Tor 1, Germany; DVGW Water Technology Center Karlsruhe (TZW), D-76139, Karlsruhe, Karlsruher Str. 84, Germany
| | - Uwe Kunkel
- Federal Institute of Hydrology (BfG), D-56068, Koblenz, Am Mainzer Tor 1, Germany; Bavarian Environment Agency, D-86179, Augsburg, Bürgermeister-Ulrich-Str. 160, Germany
| | - Arne Wick
- Federal Institute of Hydrology (BfG), D-56068, Koblenz, Am Mainzer Tor 1, Germany
| | - Per Falås
- Eawag: Swiss Federal Institute of Aquatic Science and Technology, CH-8600, Dübendorf, Überlandstrasse 133, Switzerland; Water and Environmental Engineering, Department of Chemical Engineering, Lund University, 221 00, Lund, P.O. Box 124, Sweden
| | - Adriano Joss
- Eawag: Swiss Federal Institute of Aquatic Science and Technology, CH-8600, Dübendorf, Überlandstrasse 133, Switzerland
| | - Thomas A Ternes
- Federal Institute of Hydrology (BfG), D-56068, Koblenz, Am Mainzer Tor 1, Germany.
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22
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Ccanccapa-Cartagena A, Pico Y, Ortiz X, Reiner EJ. Suspect, non-target and target screening of emerging pollutants using data independent acquisition: Assessment of a Mediterranean River basin. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 687:355-368. [PMID: 31207525 DOI: 10.1016/j.scitotenv.2019.06.057] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 06/03/2019] [Accepted: 06/04/2019] [Indexed: 05/18/2023]
Abstract
A single workflow based on three approaches (target, suspected and non-target screening) using liquid chromatography coupled to quadrupole-time-of-flight mass spectrometry (LC-QTOF-MS) in data independent acquisition mode (DIA) was developed to assess the presence of emerging pollutants (EPs) in water and sediments from a Mediterranean River Basin. Identification of potential contaminants was based on mass accuracy, isotopic ratio pattern, theoretical fragmentation, and retention time using Waters UNIFI software. In the suspect screening against a library containing 2200 components, 68 contaminants were tentatively identified, 6 of which were confirmed and quantified with analytical standards. Non-target screening (NTS) required additional manual processing and the aid of an on-line database (ChemSpider) to tentatively identify compounds. Eprosartan, an antihypertensive drug not included in the library used for suspected screening, was confirmed and semi-quantified. The identification of Eprosartan proved the workflow to be functional for NTS. Target screening of 171 pesticides and 33 pharmaceuticals and personal care products (PPCPs) including the compounds confirmed using suspect (6) and non target (1) screening achieved monitoring of the most abundant contaminants from the head to the mouth of the Turia basin to establish their spatial distribution. QTOF-MS screening versatility with its high-resolution capability allows for a comprehensive assessment of EPs in the aquatic environment.
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Affiliation(s)
- Alexander Ccanccapa-Cartagena
- Environmental and Food Safety Research Group of the University of Valencia (SAMA-UV), Desertification Research Centre CIDE (CSIC-UV-GV), Moncada-Naquera Road km 4.5, 46113 Moncada, Valencia, Spain; Escuela Profesional de Antropología, Universidad Nacional de San Agustín de Arequipa¡, Av. Venezuela s/n, 04000 Cercado, Arequipa, Peru.
| | - Yolanda Pico
- Environmental and Food Safety Research Group of the University of Valencia (SAMA-UV), Desertification Research Centre CIDE (CSIC-UV-GV), Moncada-Naquera Road km 4.5, 46113 Moncada, Valencia, Spain
| | - Xavier Ortiz
- Ontario Ministry of the Environment and Climate Change, 125 Resources Road, Toronto, ON M9P 3V6, Canada
| | - Eric J Reiner
- Ontario Ministry of the Environment and Climate Change, 125 Resources Road, Toronto, ON M9P 3V6, Canada
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Assress HA, Nyoni H, Mamba BB, Msagati TAM. Target quantification of azole antifungals and retrospective screening of other emerging pollutants in wastewater effluent using UHPLC -QTOF-MS. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 253:655-666. [PMID: 31330357 DOI: 10.1016/j.envpol.2019.07.075] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 06/19/2019] [Accepted: 07/15/2019] [Indexed: 06/10/2023]
Abstract
The information acquired by high resolution quadrupole-time of flight mass spectrometry (QTOF-MS) allows target analysis as well as retrospective screening for the presence of suspect or unknown emerging pollutants which were not included in the target analysis. Targeted quantification of eight azole antifungal drugs in wastewater effluent as well as new and relatively simple retrospective suspect and non-target screening strategy for emerging pollutants using UHPLC-QTOF-MS is described in this work. More than 300 (parent compounds and transformation products) and 150 accurate masses were included in the retrospective suspect and non-target screening, respectively. Tentative identification of suspects and unknowns was based on accurate masses, peak intensity, blank subtraction, isotopic pattern (mSigma value), compound annotation using data bases such as KEGG and CHEBI, and fragmentation pattern interpretation. In the targeted analysis, clotrimazole, fluconazole, itraconazole, ketoconazole and posaconazole were detected in the effluent wastewater sample, fluconazole being with highest average concentration (302.38 ng L-1). The retrospective screening resulted in the detection of 27 compounds that had not been included in the target analysis. The suspect compounds tentatively identified included atazanavir, citalopram, climbazole, bezafibrate estradiol, desmethylvenlafaxine, losartan carboxylic acid and cetirizine, of which citalopram, estradiol and cetirizine were confirmed using a standard. Carbamazepine, atrazine, efavirenz, lopinavir, fexofenadine and 5-methylbenzotriazole were among the compounds detected following the non-targeted screening approach, of which carbamazepine was confirmed using a standard. Given the detection of the target antifungals in the effluent, the findings are a call for a wide assessment of their occurrence in aquatic environments and their role in ecotoxicology as well as in selection of drug resistant fungi. The findings of this work further highlights the practical benefits obtained for the identification of a broader range of emerging pollutants in the environment when retrospective screening is applied to high resolution and high accuracy mass spectrometric data.
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Affiliation(s)
- Hailemariam Abrha Assress
- University of South Africa, College of Science Engineering and Technology, Nanotechnology and Water Sustainability Research Unit, UNISA Science Campus, P.O. Box 392, UNISA 0003, Florida, 1709 Johannesburg, South Africa
| | - Hlengilizwe Nyoni
- University of South Africa, College of Science Engineering and Technology, Nanotechnology and Water Sustainability Research Unit, UNISA Science Campus, P.O. Box 392, UNISA 0003, Florida, 1709 Johannesburg, South Africa
| | - Bhekie B Mamba
- University of South Africa, College of Science Engineering and Technology, Nanotechnology and Water Sustainability Research Unit, UNISA Science Campus, P.O. Box 392, UNISA 0003, Florida, 1709 Johannesburg, South Africa
| | - Titus A M Msagati
- University of South Africa, College of Science Engineering and Technology, Nanotechnology and Water Sustainability Research Unit, UNISA Science Campus, P.O. Box 392, UNISA 0003, Florida, 1709 Johannesburg, South Africa.
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Sequential window acquisition of all theoretical fragments versus information dependent acquisition for suspected-screening of pharmaceuticals in sediments and mussels by ultra-high pressure liquid chromatography-quadrupole time-of-flight-mass spectrometry. J Chromatogr A 2019; 1595:81-90. [DOI: 10.1016/j.chroma.2019.02.041] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 02/06/2019] [Accepted: 02/18/2019] [Indexed: 01/28/2023]
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Rimayi C, Chimuka L, Gravell A, Fones GR, Mills GA. Use of the Chemcatcher® passive sampler and time-of-flight mass spectrometry to screen for emerging pollutants in rivers in Gauteng Province of South Africa. ENVIRONMENTAL MONITORING AND ASSESSMENT 2019; 191:388. [PMID: 31115701 PMCID: PMC6529598 DOI: 10.1007/s10661-019-7515-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 04/30/2019] [Indexed: 05/06/2023]
Abstract
Many rivers in urbanised catchments in South Africa are polluted by raw sewage and effluent to an extent that their ecological function has been severely impaired. The Hennops and Jukskei Rivers lying in the Hartbeespoort Dam catchment are two of the worst impacted rivers in South Africa and are in need of rehabilitation. Passive sampling (Chemcatcher® with a HLB receiving phase) together with high-resolution tandem mass spectrometry-targeted screening was used to provide high sensitivity and selectivity for the identification of a wide range of emerging pollutants in these urban waters. Over 200 compounds, including pesticides, pharmaceuticals and personal care products, drugs of abuse and their metabolites were identified. Many substances (~ 180) being detected for the first time in surface water in South Africa. General medicines and psychotropic drugs were the two most frequently detected groups in the catchment. These accounted for 49% of the emerging pollutants found. Of the general medicines, antihypertensive agents, beta-blocking and cardiac drugs were the most abundant (28%) classes detected. The Hennops site, downstream of a dysfunctional wastewater treatment plant, was the most polluted with 123 substances detected. From the compounds detected, peak intensity-based prioritisation was used to identify the five most abundant pollutants, being in the order caffeine > lopinavir > sulfamethoxazole > cotinine > trimethoprim. This work provides the largest available high-quality dataset of emerging pollutants detected in South African urban waters. The data generated in this study provides a solid foundation for subsequent work to further characterise (suspect screening) and quantify (target analysis) these substances.
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Affiliation(s)
- Cornelius Rimayi
- Department of Water and Sanitation, Resource Quality Information Services (RQIS), Roodeplaat, P. Bag X313, Pretoria, 0001, South Africa
| | - Luke Chimuka
- School of Chemistry, University of the Witwatersrand, P. Bag 3, Wits, Johannesburg, 2050, South Africa
| | - Anthony Gravell
- Natural Resources Wale, NRW Analytical Services, Swansea University, Faraday Building, Singleton Campus, Swansea, SA2 8PP, UK
| | - Gary R Fones
- School of Earth and Environmental Sciences, University of Portsmouth, Burnaby Road, Portsmouth, PO1 3QL, UK.
| | - Graham A Mills
- School of Pharmacy and Biomedical Sciences, University of Portsmouth, White Swan Road, Portsmouth, PO1 2DT, UK
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Hernández F, Bakker J, Bijlsma L, de Boer J, Botero-Coy AM, Bruinen de Bruin Y, Fischer S, Hollender J, Kasprzyk-Hordern B, Lamoree M, López FJ, Laak TLT, van Leerdam JA, Sancho JV, Schymanski EL, de Voogt P, Hogendoorn EA. The role of analytical chemistry in exposure science: Focus on the aquatic environment. CHEMOSPHERE 2019; 222:564-583. [PMID: 30726704 DOI: 10.1016/j.chemosphere.2019.01.118] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 01/15/2019] [Accepted: 01/20/2019] [Indexed: 06/09/2023]
Abstract
Exposure science, in its broadest sense, studies the interactions between stressors (chemical, biological, and physical agents) and receptors (e.g. humans and other living organisms, and non-living items like buildings), together with the associated pathways and processes potentially leading to negative effects on human health and the environment. The aquatic environment may contain thousands of compounds, many of them still unknown, that can pose a risk to ecosystems and human health. Due to the unquestionable importance of the aquatic environment, one of the main challenges in the field of exposure science is the comprehensive characterization and evaluation of complex environmental mixtures beyond the classical/priority contaminants to new emerging contaminants. The role of advanced analytical chemistry to identify and quantify potential chemical risks, that might cause adverse effects to the aquatic environment, is essential. In this paper, we present the strategies and tools that analytical chemistry has nowadays, focused on chromatography hyphenated to (high-resolution) mass spectrometry because of its relevance in this field. Key issues, such as the application of effect direct analysis to reduce the complexity of the sample, the investigation of the huge number of transformation/degradation products that may be present in the aquatic environment, the analysis of urban wastewater as a source of valuable information on our lifestyle and substances we consumed and/or are exposed to, or the monitoring of drinking water, are discussed in this article. The trends and perspectives for the next few years are also highlighted, when it is expected that new developments and tools will allow a better knowledge of chemical composition in the aquatic environment. This will help regulatory authorities to protect water bodies and to advance towards improved regulations that enable practical and efficient abatements for environmental and public health protection.
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Affiliation(s)
- F Hernández
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Avda. Sos Baynat S/n, E-12071 Castellón, Spain.
| | - J Bakker
- National Institute for Public Health and the Environment (RIVM), Centre for Safety of Substances and Products, P.O. Box 1, 3720, BA Bilthoven, the Netherlands
| | - L Bijlsma
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Avda. Sos Baynat S/n, E-12071 Castellón, Spain
| | - J de Boer
- Vrije Universiteit, Department Environment & Health, De Boelelaan 1087, 1081, HV Amsterdam, the Netherlands
| | - A M Botero-Coy
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Avda. Sos Baynat S/n, E-12071 Castellón, Spain
| | - Y Bruinen de Bruin
- European Commission Joint Research Centre, Directorate E - Space, Security and Migration, Italy
| | - S Fischer
- Swedish Chemicals Agency (KEMI), P.O. Box 2, SE-172 13, Sundbyberg, Sweden
| | - J Hollender
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, CH-8600, Dübendorf, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092, Zürich, Switzerland
| | - B Kasprzyk-Hordern
- University of Bath, Department of Chemistry, Faculty of Science, Bath, BA2 7AY, United Kingdom
| | - M Lamoree
- Vrije Universiteit, Department Environment & Health, De Boelelaan 1087, 1081, HV Amsterdam, the Netherlands
| | - F J López
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Avda. Sos Baynat S/n, E-12071 Castellón, Spain
| | - T L Ter Laak
- KWR Watercycle Research Institute, Chemical Water Quality and Health, P.O. Box 1072, 3430, BB Nieuwegein, the Netherlands
| | - J A van Leerdam
- KWR Watercycle Research Institute, Chemical Water Quality and Health, P.O. Box 1072, 3430, BB Nieuwegein, the Netherlands
| | - J V Sancho
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Avda. Sos Baynat S/n, E-12071 Castellón, Spain
| | - E L Schymanski
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, CH-8600, Dübendorf, Switzerland; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4367, Belvaux, Luxembourg
| | - P de Voogt
- KWR Watercycle Research Institute, Chemical Water Quality and Health, P.O. Box 1072, 3430, BB Nieuwegein, the Netherlands; Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, P.O. Box 94248, 1090, GE Amsterdam, the Netherlands
| | - E A Hogendoorn
- National Institute for Public Health and the Environment (RIVM), Centre for Safety of Substances and Products, P.O. Box 1, 3720, BA Bilthoven, the Netherlands
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Faber AH, Annevelink M, Gilissen HK, Schot P, van Rijswick M, de Voogt P, van Wezel A. How to Adapt Chemical Risk Assessment for Unconventional Hydrocarbon Extraction Related to the Water System. REVIEWS OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2019; 246:1-32. [PMID: 29280081 DOI: 10.1007/398_2017_10] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
We identify uncertainties and knowledge gaps of chemical risk assessment related to unconventional drillings and propose adaptations. We discuss how chemical risk assessment in the context of unconventional oil and gas (UO&G) activities differs from conventional chemical risk assessment and the implications for existing legislation. A UO&G suspect list of 1,386 chemicals that might be expected in the UO&G water samples was prepared which can be used for LC-HRMS suspect screening. We actualize information on reported concentrations in UO&G-related water. Most information relates to shale gas operations, followed by coal-bed methane, while only little is available for tight gas and conventional gas. The limited research on conventional oil and gas recovery hampers comparison whether risks related to unconventional activities are in fact higher than those related to conventional activities. No study analyzed the whole cycle from fracturing fluid, flowback and produced water, and surface water and groundwater. Generally target screening has been used, probably missing contaminants of concern. Almost half of the organic compounds analyzed in surface water and groundwater exceed TTC values, so further risk assessment is needed, and risks cannot be waived. No specific exposure scenarios toward groundwater aquifers exist for UO&G-related activities. Human errors in various stages of the life cycle of UO&G production play an important role in the exposure. Neither at the international level nor at the US federal and the EU levels, specific regulations for UO&G-related activities are in place to protect environmental and human health. UO&G activities are mostly regulated through general environmental, spatial planning, and mining legislation.
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Affiliation(s)
- Ann-Hélène Faber
- Copernicus Institute of Sustainable Development, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands.
- KWR Watercycle Research Institute, Nieuwegein, The Netherlands.
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.
| | - Mark Annevelink
- KWR Watercycle Research Institute, Nieuwegein, The Netherlands
- Department of Environmental Science, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Herman Kasper Gilissen
- Utrecht Centre for Water, Oceans and Sustainability Law, Faculty of Law, Economics and Governance, Utrecht University, Utrecht, The Netherlands
| | - Paul Schot
- Copernicus Institute of Sustainable Development, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands
| | - Marleen van Rijswick
- Utrecht Centre for Water, Oceans and Sustainability Law, Faculty of Law, Economics and Governance, Utrecht University, Utrecht, The Netherlands
| | - Pim de Voogt
- KWR Watercycle Research Institute, Nieuwegein, The Netherlands
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | - Annemarie van Wezel
- Copernicus Institute of Sustainable Development, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands
- KWR Watercycle Research Institute, Nieuwegein, The Netherlands
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Pastore C, Barca E, Del Moro G, Di Iaconi C, Loos M, Singer HP, Mascolo G. Comparison of different types of landfill leachate treatments by employment of nontarget screening to identify residual refractory organics and principal component analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 635:984-994. [PMID: 29710620 DOI: 10.1016/j.scitotenv.2018.04.135] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 04/06/2018] [Accepted: 04/09/2018] [Indexed: 06/08/2023]
Abstract
Three different chemical oxidation processes were investigated in terms of their capability to degrade organic chemical components of real mature landfill-leachate in combination with biological treatment run in a Sequencing Batch Biofilter Granular Reactor (SBBGR). H2O2, H2O2 + UV and O3 were integrated with SBBGR and respective effluents were analyzed and compared with the effluent obtained from biological SBBGR treatment alone. In agreement with their respective oxidative power, conventional bulk parameters (residual COD, TOC, Ntot, TSS) determined from the resulting effluents evidenced the following efficacy ranking for degradation: SBBGR/O3 > SBBGR/UV + H2O2 > SBBGR/H2O2 > SBBGR. A more detailed characterization of the organic compounds was subsequently carried out for the four treated streams. For this, effluents were first subjected to a sample preparation step, allowing for a classification in terms of acidic, basic, strongly acidic and strongly basic compounds, and finally to analysis by liquid chromatography/high resolution mass spectrometry (LC/HR-MS). This classification, combined with further data post-processing (non-target screening, Venn Diagram, tri-dimensional plot and Principal Component Analysis), evidenced that the SBBGR/H2O2 process is comparable to the pure biological oxidation. In contrast, SBBGR/O3 and SBBGR/UV + H2O2 not only resulted in a very different residual composition as compared to SBBGR and SBBGR/H2O2, but also differ significantly from each other. In fact, and despite of the SBBGR/O3 being the most efficient process, this treatment remained chemically more similar to SBBGR/H2O2 than to SBBGR/UV + H2O2. This finding may be attributable to different mechanism of degradation involved with the use of UV radiation. Apart from these treatment differences, a series of recalcitrant compounds was determined in all of the four treatments and partly identified as hetero-poly-aromatic species (humic acids-like species).
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Affiliation(s)
- C Pastore
- Istituto di Ricerca Sulle Acque, Consiglio Nazionale delle Ricerche, Viale F. De Blasio 5, 70132 Bari, Italy
| | - E Barca
- Istituto di Ricerca Sulle Acque, Consiglio Nazionale delle Ricerche, Viale F. De Blasio 5, 70132 Bari, Italy
| | - G Del Moro
- Istituto di Ricerca Sulle Acque, Consiglio Nazionale delle Ricerche, Viale F. De Blasio 5, 70132 Bari, Italy
| | - C Di Iaconi
- Istituto di Ricerca Sulle Acque, Consiglio Nazionale delle Ricerche, Viale F. De Blasio 5, 70132 Bari, Italy
| | - M Loos
- Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, CH-8600 DÜbendorf, Switzerland
| | - H P Singer
- Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, CH-8600 DÜbendorf, Switzerland
| | - G Mascolo
- Istituto di Ricerca Sulle Acque, Consiglio Nazionale delle Ricerche, Viale F. De Blasio 5, 70132 Bari, Italy.
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Newton SR, McMahen RL, Sobus JR, Mansouri K, Williams AJ, McEachran AD, Strynar MJ. Suspect screening and non-targeted analysis of drinking water using point-of-use filters. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 234:297-306. [PMID: 29182974 PMCID: PMC6145080 DOI: 10.1016/j.envpol.2017.11.033] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 11/07/2017] [Accepted: 11/08/2017] [Indexed: 05/18/2023]
Abstract
Monitored contaminants in drinking water represent a small portion of the total compounds present, many of which may be relevant to human health. To understand the totality of human exposure to compounds in drinking water, broader monitoring methods are imperative. In an effort to more fully characterize the drinking water exposome, point-of-use water filtration devices (Brita® filters) were employed to collect time-integrated drinking water samples in a pilot study of nine North Carolina homes. A suspect screening analysis was performed by matching high resolution mass spectra of unknown features to molecular formulas from EPA's DSSTox database. Candidate compounds with those formulas were retrieved from the EPA's CompTox Chemistry Dashboard, a recently developed data hub for approximately 720,000 compounds. To prioritize compounds into those most relevant for human health, toxicity data from the US federal collaborative Tox21 program and the EPA ToxCast program, as well as exposure estimates from EPA's ExpoCast program, were used in conjunction with sample detection frequency and abundance to calculate a "ToxPi" score for each candidate compound. From ∼15,000 molecular features in the raw data, 91 candidate compounds were ultimately grouped into the highest priority class for follow up study. Fifteen of these compounds were confirmed using analytical standards including the highest priority compound, 1,2-Benzisothiazolin-3-one, which appeared in 7 out of 9 samples. The majority of the other high priority compounds are not targets of routine monitoring, highlighting major gaps in our understanding of drinking water exposures. General product-use categories from EPA's CPCat database revealed that several of the high priority chemicals are used in industrial processes, indicating the drinking water in central North Carolina may be impacted by local industries.
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Affiliation(s)
- Seth R Newton
- United States Environmental Protection Agency, National Exposure Research Laboratory, Research Triangle Park, NC 27709, United States.
| | - Rebecca L McMahen
- United States Environmental Protection Agency, National Exposure Research Laboratory, Research Triangle Park, NC 27709, United States; Oak Ridge Institute for Science and Education Research Participant, 109 T.W. Alexander Drive, Research Triangle Park, NC 27709, United States
| | - Jon R Sobus
- United States Environmental Protection Agency, National Exposure Research Laboratory, Research Triangle Park, NC 27709, United States
| | - Kamel Mansouri
- Oak Ridge Institute for Science and Education Research Participant, 109 T.W. Alexander Drive, Research Triangle Park, NC 27709, United States; United States Environmental Protection Agency, National Center for Computational Toxicology, Research Triangle Park, NC 27709, United States
| | - Antony J Williams
- United States Environmental Protection Agency, National Center for Computational Toxicology, Research Triangle Park, NC 27709, United States
| | - Andrew D McEachran
- Oak Ridge Institute for Science and Education Research Participant, 109 T.W. Alexander Drive, Research Triangle Park, NC 27709, United States; United States Environmental Protection Agency, National Center for Computational Toxicology, Research Triangle Park, NC 27709, United States
| | - Mark J Strynar
- United States Environmental Protection Agency, National Exposure Research Laboratory, Research Triangle Park, NC 27709, United States
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30
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Bader T, Schulz W, Kümmerer K, Winzenbacher R. LC-HRMS Data Processing Strategy for Reliable Sample Comparison Exemplified by the Assessment of Water Treatment Processes. Anal Chem 2017; 89:13219-13226. [PMID: 29166562 DOI: 10.1021/acs.analchem.7b03037] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
The behavior of micropollutants in water treatment is an important aspect in terms of water quality. Nontarget screening by liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS) offers the opportunity to comprehensively assess water treatment processes by comparing the signal heights of all detectable compounds before and after treatment. Without preselection of known target compounds, all accessible information is used to describe changes across processes and thus serves as a measure for the treatment efficiency. In this study, we introduce a novel LC-HRMS data processing strategy for the reliable classification of signals based on the observed fold changes. An approach for filtering detected features was developed and, after parameter adjustment, validated for its recall and precision. As proof of concept, the fate of 411 target compounds in a 0.1 μg/L standard mix was tracked throughout the data processing stages, where 406 targets were successfully recognized and retained during filtering. Potential pitfalls in signal classification were addressed. We found the recursive peak integration to be a key point for the reliable classification of signal changes across a process. For evaluating the repeatability, a combinatorial approach was conducted to verify the consistency of the final outcome using technical replicates of influent and effluent samples taken from an ozonation process during drinking water treatment. The results showed sufficient repeatability and thus emphasized the applicability of nontarget screening for the assessment of water treatment processes. The developed data processing strategies may be transferred to other research fields where sample comparisons are conducted.
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Affiliation(s)
- Tobias Bader
- Laboratory for Operation Control and Research, Zweckverband Landeswasserversorgung , Am Spitzigen Berg 1, 89129 Langenau, Germany.,Sustainable Chemistry and Material Resources, Institute of Sustainable and Environmental Chemistry, Leuphana University of Lüneburg , Scharnhorststraße 1/C13, 21335 Lüneburg, Germany
| | - Wolfgang Schulz
- Laboratory for Operation Control and Research, Zweckverband Landeswasserversorgung , Am Spitzigen Berg 1, 89129 Langenau, Germany
| | - Klaus Kümmerer
- Sustainable Chemistry and Material Resources, Institute of Sustainable and Environmental Chemistry, Leuphana University of Lüneburg , Scharnhorststraße 1/C13, 21335 Lüneburg, Germany
| | - Rudi Winzenbacher
- Laboratory for Operation Control and Research, Zweckverband Landeswasserversorgung , Am Spitzigen Berg 1, 89129 Langenau, Germany
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Hollender J, Schymanski EL, Singer HP, Ferguson PL. Nontarget Screening with High Resolution Mass Spectrometry in the Environment: Ready to Go? ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:11505-11512. [PMID: 28877430 DOI: 10.1021/acs.est.7b02184] [Citation(s) in RCA: 368] [Impact Index Per Article: 52.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
The vast, diverse universe of organic pollutants is a formidable challenge for environmental sciences, engineering, and regulation. Nontarget screening (NTS) based on high resolution mass spectrometry (HRMS) has enormous potential to help characterize this universe, but is it ready to go for real world applications? In this Feature article we argue that development of mass spectrometers with increasingly high resolution and novel couplings to both liquid and gas chromatography, combined with the integration of high performance computing, have significantly widened our analytical window and have enabled increasingly sophisticated data processing strategies, indicating a bright future for NTS. NTS has great potential for treatment assessment and pollutant prioritization within regulatory applications, as highlighted here by the case of real-time pollutant monitoring on the River Rhine. We discuss challenges for the future, including the transition from research toward solution-centered and robust, harmonized applications.
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Affiliation(s)
- Juliane Hollender
- Eawag, Swiss Federal Institute of Aquatic Science and Technology , 8600 Dübendorf, Switzerland
- Institute of Biogeochemistry and Pollutant Dynamics , ETH Zürich, 8092 Zürich, Switzerland
| | - Emma L Schymanski
- Eawag, Swiss Federal Institute of Aquatic Science and Technology , 8600 Dübendorf, Switzerland
| | - Heinz P Singer
- Eawag, Swiss Federal Institute of Aquatic Science and Technology , 8600 Dübendorf, Switzerland
| | - P Lee Ferguson
- Department of Civil & Environmental Engineering, Duke University , Box 90287, Durham, North Carolina 27708, United States
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Schulz W, Weiss SC, Weber WH, Winzenbacher R. The reciprocal iso-inhibition volume concept: A procedure for the evaluation in effect-directed analysis with thin-layer chromatography - using the thin-layer chromatography-luminescent bacteria assay as an example. J Chromatogr A 2017; 1519:121-130. [DOI: 10.1016/j.chroma.2017.08.076] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 08/23/2017] [Accepted: 08/24/2017] [Indexed: 11/26/2022]
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Chibwe L, Titaley IA, Hoh E, Massey Simonich SL. Integrated Framework for Identifying Toxic Transformation Products in Complex Environmental Mixtures. ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS 2017; 4:32-43. [PMID: 35600207 PMCID: PMC9119311 DOI: 10.1021/acs.estlett.6b00455] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Complex environmental mixtures consist of hundreds to thousands of unknown and unregulated organic compounds that may have toxicological relevance, including transformation products (TPs) of anthropogenic organic pollutants. Non-targeted analysis and suspect screening analysis offer analytical approaches for potentially identifying these toxic transformation products. However, additional tools and strategies are needed in order to reduce the number of chemicals of interest and focus analytical efforts on chemicals that may pose risks to humans and the environment. This brief review highlights recent developments in this field and suggests an integrated framework that incorporates complementary instrumental techniques, computational chemistry, and toxicity analysis, for prioritizing and identifying toxic TPs in the environment.
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Affiliation(s)
- Leah Chibwe
- Department of Chemistry, Oregon State University, Corvallis, OR, 97331, USA
| | - Ivan A. Titaley
- Department of Chemistry, Oregon State University, Corvallis, OR, 97331, USA
| | - Eunha Hoh
- Graduate School of Public Health, San Diego State University, San Diego, CA, 92182, USA
| | - Staci L. Massey Simonich
- Department of Chemistry, Oregon State University, Corvallis, OR, 97331, USA
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR 97331, USA
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Statistical Approaches for LC-HRMS Data To Characterize, Prioritize, and Identify Transformation Products from Water Treatment Processes. ACTA ACUST UNITED AC 2016. [DOI: 10.1021/bk-2016-1241.ch004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
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Merel S, Snyder SA. Critical assessment of the ubiquitous occurrence and fate of the insect repellent N,N-diethyl-m-toluamide in water. ENVIRONMENT INTERNATIONAL 2016; 96:98-117. [PMID: 27639850 DOI: 10.1016/j.envint.2016.09.004] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 08/02/2016] [Accepted: 09/05/2016] [Indexed: 05/27/2023]
Abstract
The insect repellent diethyltoluamide (DEET) is among the most frequently detected organic chemical contaminants in water across a wide range of geographies from around the world. These observations are raising critical questions and increasing concerns regarding potential environmental relevance, particularly when the emergence of severe neurological conditions attributed to the Zika virus has increased the use of insect repellents. After dermal application, DEET is washed from the skin when bathing and enters the municipal sewer system before discharge into the environment. Mainly measured by gas chromatography or liquid chromatography coupled to mass spectrometry (GC-MS or LC-MS), more than 200 peer-reviewed publications have already reported concentrations of DEET ranging ng/L to mg/L in several water matrices from North America, Europe, Asia, Oceania, and more recently Africa and South America. While conventional wastewater treatment technology has limited capacity of removal, advanced technologies are capable of better attenuation and could lower the environmental discharge of organic contaminants, including DEET. For instance, adsorption on activated carbon, desalinating membrane processes (nanofiltration and reverse osmosis), ozonation, and advanced oxidation processes can achieve 50% to essentially 100% DEET attenuation. Despite the abundant literature on the topic, the ubiquity of DEET in the environment still raises questions due to the apparent lack of obvious spatio-temporal trends in concentrations measured in surface water, which does not fit the expected usage pattern of insect repellents. Moreover, two recent studies showed discrepancies between the concentrations obtained by GC-MS and LC-MS analyses. While the occurrence of DEET in the environment is well established, the concentrations reported should be interpreted cautiously, considering the disparities in methodologies applied and occurrence patterns observed. Therefore, this manuscript provides a critical overview of the origin of DEET in the environment, the relevant analytical methods, the occurrence reported in peer-reviewed literature, and the attenuation efficacy of water treatment processes.
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Affiliation(s)
- Sylvain Merel
- Department of Chemical and Environmental Engineering, University of Arizona, 1133 James E. Rogers Way, Tucson 85721, AZ, USA; Environmental Analytical Chemistry, Center for Applied Geoscience, Eberhard Karls University Tübingen, 12 Hölderlinstraße, 72074 Tübingen, Germany.
| | - Shane A Snyder
- Department of Chemical and Environmental Engineering, University of Arizona, 1133 James E. Rogers Way, Tucson 85721, AZ, USA.
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Soulier C, Coureau C, Togola A. Environmental forensics in groundwater coupling passive sampling and high resolution mass spectrometry for screening. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 563-564:845-54. [PMID: 26803221 DOI: 10.1016/j.scitotenv.2016.01.056] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Revised: 12/10/2015] [Accepted: 01/11/2016] [Indexed: 05/13/2023]
Abstract
One of the difficulties encountered when monitoring groundwater quality is low and fluctuating concentration levels and complex mixtures of micropollutants, including emerging substances or transformation products. Combining passive sampling techniques with analysis by high resolution mass spectrometry (HRMS) should improve environmental metrology. Passive samplers accumulate compounds during exposure, which improves the detection of organic compounds and integrates pollution fluctuations. The Polar Organic Chemical Integrative Sampler (POCIS) were used in this study to sequester polar to semi-polar compounds. The methodology described here improves our knowledge of environmental pollution by highlighting and identifying pertinent compounds to be monitored in groundwater. The advantage of combining these two approaches is demonstrated on two different sites impacted by agricultural and/or urban pollution sources where groundwater was sampled for several months. Grab and passive sampling were done and analyzed by liquid chromatography coupled to a hybrid quadrupole time-of-flight mass spectrometer (LC-QTOF). Various data processing approaches were used (target, suspect and non-target screening). Target screening was based on research from compounds listed in a homemade database and suspect screening used a database compiled using literature data. The non-target screening was done using statistical tools such as principal components analysis (PCA) with direct connections between original chromatograms and ion intensity. Trend plots were used to highlight relevant compounds for their identification. The advantage of using POCIS to improve screening of polar organic compounds was demonstrated. Compounds undetected in water samples were detected with these tools. The subsequent data processing identified sentinel molecules, molecular clusters as compounds never revealed in these sampling sites, and molecular fingerprints. Samples were compared and multidimensional visualization of chemical patterns such as molecular fingerprints and recurrent or specific markers of each site were given.
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Affiliation(s)
- Coralie Soulier
- BRGM Laboratory Division, 3 avenue C. Guillemin, 45100 Orléans, France.
| | - Charlotte Coureau
- BRGM Laboratory Division, 3 avenue C. Guillemin, 45100 Orléans, France
| | - Anne Togola
- BRGM Laboratory Division, 3 avenue C. Guillemin, 45100 Orléans, France
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Bader T, Schulz W, Kümmerer K, Winzenbacher R. General strategies to increase the repeatability in non-target screening by liquid chromatography-high resolution mass spectrometry. Anal Chim Acta 2016; 935:173-86. [PMID: 27543026 DOI: 10.1016/j.aca.2016.06.030] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Revised: 05/25/2016] [Accepted: 06/16/2016] [Indexed: 11/25/2022]
Abstract
This article focuses on the data evaluation of non-target high-resolution LC-MS profiles of water samples. Taking into account multiple technical replicates, the difficulties in peak recognition and the related problems of false positive and false negative findings are systematically demonstrated. On the basis of a combinatorial approach, different models involving sophisticated workflows are evaluated, particularly with regard to the repeatability. In addition, the improvement resulting from data processing was systematically taken into consideration where the recovery of spiked standards emphasized that real peaks of interest were barely or not removed by the derived filter criteria. The comprehensive evaluation included different matrix types spiked with up to 263 analytical standards which were analyzed repeatedly leading to a total number of more than 250 injections that were incorporated in the assessment of different models of data processing. It was found that the analysis of multiple replicates is the key factor as, on the one hand, it provides the option of integrating valuable filters in order to minimize the false positive rate and, on the other hand, allows correcting partially false negative findings occurring during the peak recognition. The developed processing strategies including replicates clearly point to an enhanced data quality since both the repeatability as well as the peak recognition could be considerably improved. As proof of concept, four different matrix types, including a wastewater treatment plant (WWTP) effluent, were spiked with 130 isotopically labeled standards at different concentration levels. Despite the stringent filter criteria, at 100 ng L(-1) recovery rates of up to 93% were reached in the positive ionization mode. The proposed model, comprising three technical replicates, filters less than 5% and 2% of the standards recognized at 100 and 500 ng L(-1), respectively and thus indicates the general applicability of the presented strategies.
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Affiliation(s)
- Tobias Bader
- Laboratory for Operation Control and Research, Zweckverband Landeswasserversorgung, Am Spitzigen Berg 1, 89129 Langenau, Germany; Sustainable Chemistry and Material Resources, Institute of Sustainable and Environmental Chemistry, Leuphana University of Lüneburg, Scharnhorststraße 1/C13, 21335 Lüneburg, Germany.
| | - Wolfgang Schulz
- Laboratory for Operation Control and Research, Zweckverband Landeswasserversorgung, Am Spitzigen Berg 1, 89129 Langenau, Germany.
| | - Klaus Kümmerer
- Sustainable Chemistry and Material Resources, Institute of Sustainable and Environmental Chemistry, Leuphana University of Lüneburg, Scharnhorststraße 1/C13, 21335 Lüneburg, Germany.
| | - Rudi Winzenbacher
- Laboratory for Operation Control and Research, Zweckverband Landeswasserversorgung, Am Spitzigen Berg 1, 89129 Langenau, Germany.
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38
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Wang B, Wan Y, Zheng G, Hu J. Evaluating a Tap Water Contamination Incident Attributed to Oil Contamination by Nontargeted Screening Strategies. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2016; 50:2956-2963. [PMID: 26862992 DOI: 10.1021/acs.est.5b05755] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
The present study applied nontargeted screening techniques as a novel approach to evaluate the tap water samples collected during the "4.11" tap water pollution incident occurred on April 11, 2014 in Lanzhou in west China. Multivariate analysis (PCA and OPLS-DA) of about 3000 chemical features obtained in extracts of tap water samples by ultrahigh-pressure liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) analysis showed significantly different chemical profiles in tap water from pollution regions versus reference regions during the event. These different chemical profiles in samples from different regions were not observed in samples collected during the nonpollution period. The compounds responsible for the differences in profiles between regions were identified as naphthenic acids (NAs) and oxidized NAs (oxy-NAs) after the sample extracts underwent bromination to explore saturations, dansylation to identify hydroxylations and corresponding MS/MS mode analysis. A consistent finding was further observed in the targeted analysis of NA mixtures, demonstrating that the Lanzhou "4.11" tap water pollution incident could be attributed to oil spill pollution, and NA mixtures would be a marker for oil contamination. Such evaluations can help to rapidly discriminate pollution sources in accidental pollution events and contribute to regular water monitoring management of water safety issues.
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Affiliation(s)
- Beili Wang
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Yi Wan
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Guomao Zheng
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
| | - Jianying Hu
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
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39
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Llorca M, Lucas D, Ferrando-Climent L, Badia-Fabregat M, Cruz-Morató C, Barceló D, Rodríguez-Mozaz S. Suspect screening of emerging pollutants and their major transformation products in wastewaters treated with fungi by liquid chromatography coupled to a high resolution mass spectrometry. J Chromatogr A 2016; 1439:124-136. [DOI: 10.1016/j.chroma.2015.10.077] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 10/15/2015] [Accepted: 10/25/2015] [Indexed: 01/09/2023]
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40
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Deyerling D, Wang J, Bi Y, Peng C, Pfister G, Henkelmann B, Schramm KW. Depth profile of persistent and emerging organic pollutants upstream of the Three Gorges Dam gathered in 2012/2013. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2016; 23:5782-94. [PMID: 26585456 DOI: 10.1007/s11356-015-5805-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Accepted: 11/11/2015] [Indexed: 05/08/2023]
Abstract
Persistent and emerging organic pollutants were sampled in September 2012 and 2013 at a sampling site in front of the Three Gorges Dam near Maoping (China) in a water depth between 11 and 61 m to generate a depth profile of analytes. A novel compact water sampling system with self-packed glass cartridges was employed for the on-site enrichment of approximately 300 L of water per sample to enable the detection of low analytes levels in the picogram per liter-scale in the large water body. The overall performance of the sampling system was acceptable for the qualitative detection of polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), perfluoroalkylic acids (PFAAs), pharmaceutical residues and polar pesticides. Strongly particle-associated analytes like PAHs and PCBs resided mainly in the glass wool filter of the sampling system, whereas all other compounds have mainly been enriched on the XAD-resin of the self-packed glass cartridges. The sampling results revealed qualitative information on the presence, depth distribution and origin of the investigated compounds. Although the depth profile of PAHs, PCBs, OCPs, and PFAAs appeared to be homogeneous, pharmaceuticals and polar pesticides were detected in distinct different patterns with water depth. Source analysis with diagnostic ratios for PAHs revealed their origin to be pyrogenic (burning of coal, wood and grass). In contrast, most PCBs and OCPs had to be regarded as legacy pollutants which have been released into the environment in former times and still remain present due to their persistence. The abundance of emerging organic pollutants could be confirmed, and their most abundant compounds could be identified as perfluorooctanoic acid, diclofenac and atrazine among investigated PFAAs, pharmaceuticals and polar pesticides, respectively.
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Affiliation(s)
- Dominik Deyerling
- Technische Universität München, Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt, Lehrstuhl für analytische Lebensmittelchemie, Alte Akademie 10, 85354, Freising, Germany.
- Helmholtz Zentrum München - German Research Center for Environmental Health, Molecular EXposomics, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
| | - Jingxian Wang
- Technische Universität München, Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt, Lehrstuhl für analytische Lebensmittelchemie, Alte Akademie 10, 85354, Freising, Germany
- The State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Yonghong Bi
- The State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Chengrong Peng
- The State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Gerd Pfister
- Helmholtz Zentrum München - German Research Center for Environmental Health, Molecular EXposomics, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
| | - Bernhard Henkelmann
- Helmholtz Zentrum München - German Research Center for Environmental Health, Molecular EXposomics, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
| | - Karl-Werner Schramm
- Helmholtz Zentrum München - German Research Center for Environmental Health, Molecular EXposomics, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
- Department für Biowissenschaften, Technische Universität München, Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt, Weihenstephaner Steig 23, 85350, Freising, Germany
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41
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Bader T, Schulz W, Lucke T, Seitz W, Winzenbacher R. Application of Non-Target Analysis with LC-HRMS for the Monitoring of Raw and Potable Water: Strategy and Results. ACS SYMPOSIUM SERIES 2016. [DOI: 10.1021/bk-2016-1242.ch003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Tobias Bader
- Zweckverband Landeswasserversorgung, Laboratory for Operation Control and Research, Am Spitzigen Berg 1, 89129 Langenau, Germany
- Sustainable Chemistry and Material Resources, Institute of Sustainable and Environmental Chemistry, Leuphana University of Lüneburg, Scharnhorststraße 1/C13, 21335 Lüneburg, Germany
| | - Wolfgang Schulz
- Zweckverband Landeswasserversorgung, Laboratory for Operation Control and Research, Am Spitzigen Berg 1, 89129 Langenau, Germany
- Sustainable Chemistry and Material Resources, Institute of Sustainable and Environmental Chemistry, Leuphana University of Lüneburg, Scharnhorststraße 1/C13, 21335 Lüneburg, Germany
| | - Thomas Lucke
- Zweckverband Landeswasserversorgung, Laboratory for Operation Control and Research, Am Spitzigen Berg 1, 89129 Langenau, Germany
- Sustainable Chemistry and Material Resources, Institute of Sustainable and Environmental Chemistry, Leuphana University of Lüneburg, Scharnhorststraße 1/C13, 21335 Lüneburg, Germany
| | - Wolfram Seitz
- Zweckverband Landeswasserversorgung, Laboratory for Operation Control and Research, Am Spitzigen Berg 1, 89129 Langenau, Germany
- Sustainable Chemistry and Material Resources, Institute of Sustainable and Environmental Chemistry, Leuphana University of Lüneburg, Scharnhorststraße 1/C13, 21335 Lüneburg, Germany
| | - Rudi Winzenbacher
- Zweckverband Landeswasserversorgung, Laboratory for Operation Control and Research, Am Spitzigen Berg 1, 89129 Langenau, Germany
- Sustainable Chemistry and Material Resources, Institute of Sustainable and Environmental Chemistry, Leuphana University of Lüneburg, Scharnhorststraße 1/C13, 21335 Lüneburg, Germany
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42
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Schollée JE, Schymanski EL, Avak SE, Loos M, Hollender J. Prioritizing Unknown Transformation Products from Biologically-Treated Wastewater Using High-Resolution Mass Spectrometry, Multivariate Statistics, and Metabolic Logic. Anal Chem 2015; 87:12121-9. [DOI: 10.1021/acs.analchem.5b02905] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Jennifer E. Schollée
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
- Institute
of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland
| | - Emma L. Schymanski
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
| | - Sven E. Avak
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
- Department
of Chemistry, University of Zürich, 8057 Zürich, Switzerland
| | - Martin Loos
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
- Institute
of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland
| | - Juliane Hollender
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
- Institute
of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland
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Negreira N, Regueiro J, López de Alda M, Barceló D. Degradation of the anticancer drug erlotinib during water chlorination: Non-targeted approach for the identification of transformation products. WATER RESEARCH 2015; 85:103-13. [PMID: 26311272 DOI: 10.1016/j.watres.2015.08.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2015] [Revised: 07/26/2015] [Accepted: 08/01/2015] [Indexed: 05/04/2023]
Abstract
Erlotinib is a highly potent tyrosine kinase inhibitor used in the treatment of the most common type of lung cancer. Due to its recent introduction, very scarce information is available on its occurrence, environmental fate and toxicological effects on aquatic organisms. During chlorination processes normally carried out in wastewater treatment plants and in the pretreatment of hospital effluents, chlorinated transformation products can be formed with an enhanced toxicity relative to the parent compound. Thus, the reactivity of the cytostatic drug erlotinib in free chlorine-containing water was investigated for the first time in the present work. A non-targeted screening approach based on the use of differential profiling tools was applied in order to reveal its potential transformation products. Structural elucidation of the detected transformation products was performed by ultra-performance liquid chromatography coupled to high-resolution hybrid quadrupole-Orbitrap tandem mass spectrometry. The proposed approach allowed detecting a total of nineteen transformation products, being eighteen of them described for the first time in this work, which demonstrates its potential in environmental analysis. Among them, six compounds presented chlorine atoms in their structures, which may be of major concern. Other transformation products involved hydroxylation and oxidation reactions. Time-course profiles of erlotinib and its transformation products were followed in real wastewater samples under conditions that simulate wastewater disinfection. Although the structures of these transformation products could not be positively confirmed due to lack of standards, their chemical formulas and product ions can be added to databases, which will allow their screening in future monitoring studies.
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Affiliation(s)
- Noelia Negreira
- Water and Soil Quality Research Group, Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona 18-26, E-08034, Barcelona, Spain
| | - Jorge Regueiro
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department, Faculty of Food Science and Technology, Ourense Campus, University of Vigo, E-32004, Ourense, Spain
| | - Miren López de Alda
- Water and Soil Quality Research Group, Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona 18-26, E-08034, Barcelona, Spain.
| | - Damià Barceló
- Water and Soil Quality Research Group, Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona 18-26, E-08034, Barcelona, Spain; Catalan Institute for Water Research (ICRA), H2O Building, Scientific and Technological Park of the University of Girona, Emili Grahit 101, E-17003, Girona, Spain
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44
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Nürenberg G, Schulz M, Kunkel U, Ternes TA. Development and validation of a generic nontarget method based on liquid chromatography - high resolution mass spectrometry analysis for the evaluation of different wastewater treatment options. J Chromatogr A 2015; 1426:77-90. [PMID: 26654253 DOI: 10.1016/j.chroma.2015.11.014] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Revised: 11/04/2015] [Accepted: 11/05/2015] [Indexed: 11/18/2022]
Abstract
A comprehensive workflow for using nontarget approaches as process evaluation tools was implemented, including data acquisition based on a LC-HRMS (QTOF) system using direct injection and data post-processing for the peak recognition in "full scan" data. Both parts of the approach were not only developed and validated in a conventional way using the suspected analysis of a set of spiked known micropollutants but also the nontarget analysis of a wastewater treatment plant (WWTP) effluent itself was utilized to consider a more environmental relevant range of analytes. Hereby, special focus was laid on the minimization of false positive results (FPs) during the peak recognition. The optimized data post-processing procedure reduced the percentage of FPs from 42% to 10-15%. Furthermore, the choice of a suitable chromatography for biological treated wastewater systems was also discussed during the method development. The workflow paid also attention to differences in the performance levels of the LC-HRMS system by implementation of an adaption system for intensity variations comparing different measurements dates or different instruments. The application of this workflow on wastewater samples from a municipal WWTP revealed that more than 91% compounds were eliminated by the biological treatment step and that the received effluent contained 55% newly formed potential transformation products.
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Affiliation(s)
- Gudrun Nürenberg
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, D-56068 Koblenz, Germany
| | - Manoj Schulz
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, D-56068 Koblenz, Germany
| | - Uwe Kunkel
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, D-56068 Koblenz, Germany
| | - Thomas A Ternes
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, D-56068 Koblenz, Germany.
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45
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Integrated targeted and non-targeted analysis of water sample extracts with micro-scale UHPLC-MS. MethodsX 2015; 2:399-408. [PMID: 26636031 PMCID: PMC4637337 DOI: 10.1016/j.mex.2015.10.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Accepted: 10/07/2015] [Indexed: 11/22/2022] Open
Abstract
A sensitive method is introduced to detect selected pharmaceutical residues and polar pesticides with UHPLC–MS in water samples of different origin. Active or passive water sampling was combined with a laboratory solid-phase extraction cleanup and stable isotope dilution analysis. Recovery experiments demonstrated that the internal standard correction performed well for the compensation of matrix effects. Besides, the original targeted analysis approach was expanded by non-target analysis of the samples with only one more consecutive injection run needed. The key benefits of this multi-residue analysis are:Targeted analysis and quantification combined with non-target analysis on a micro-scale UHPLC–MS system usually employed for qualitative analysis only. The internal standards for targeted analysis were used in non-target runs to calculate the partition coefficient log P of unknown substances employing the retention time index (RTI). The filtering of database hits for two criteria (exact mass and partition coefficient) significantly reduced the list of suspects and at the same time rendered it possible to perform non-target analysis with lower mass accuracy (no lock-spray) in the range of 20–500 ppm.
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46
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Letzel T, Bayer A, Schulz W, Heermann A, Lucke T, Greco G, Grosse S, Schüssler W, Sengl M, Letzel M. LC-MS screening techniques for wastewater analysis and analytical data handling strategies: Sartans and their transformation products as an example. CHEMOSPHERE 2015; 137:198-206. [PMID: 26246044 DOI: 10.1016/j.chemosphere.2015.06.083] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2015] [Revised: 06/22/2015] [Accepted: 06/28/2015] [Indexed: 05/21/2023]
Abstract
A large number of anthropogenic trace contaminants such as pharmaceuticals, their human metabolites and further transformation products (TPs) enter wastewater treatment plants on a daily basis. A mixture of known, expected, and unknown molecules are discharged into the receiving aquatic environment because only partial elimination occurs for many of these chemicals during physical, biological and chemical treatment processes. In this study, an array of LC-MS methods from three collaborating laboratories was applied to detect and identify anthropogenic trace contaminants and their TPs in different waters. Starting with theoretical predictions of TPs, an efficient workflow using the combination of target, suspected-target and non-target strategies for the identification of these TPs in the environment was developed. These techniques and strategies were applied to study anti-hypertensive drugs from the sartan group (i.e., candesartan, eprosartan, irbesartan, olmesartan, and valsartan). Degradation experiments were performed in lab-scale wastewater treatment plants, and a screening workflow including an inter-laboratory approach was used for the identification of transformation products in the effluent samples. Subsequently, newly identified compounds were successfully analyzed in effluents of real wastewater treatment plants and river waters.
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Affiliation(s)
- Thomas Letzel
- Chair of Urban Water Systems Engineering, Technische Universität München, Am Coulombwall 8, 85748 Garching, Germany
| | - Anne Bayer
- Bavarian Environment Agency, Bürgermeister-Ulrich-Str. 160, 86179 Augsburg, Germany
| | - Wolfgang Schulz
- Zweckverband Landeswasserversorgung, Laboratory for Operation Control and Research, Am Spitzigen Berg 1, 89129 Langenau, Germany
| | - Alexandra Heermann
- Zweckverband Landeswasserversorgung, Laboratory for Operation Control and Research, Am Spitzigen Berg 1, 89129 Langenau, Germany
| | - Thomas Lucke
- Zweckverband Landeswasserversorgung, Laboratory for Operation Control and Research, Am Spitzigen Berg 1, 89129 Langenau, Germany
| | - Giorgia Greco
- Chair of Urban Water Systems Engineering, Technische Universität München, Am Coulombwall 8, 85748 Garching, Germany
| | - Sylvia Grosse
- Chair of Urban Water Systems Engineering, Technische Universität München, Am Coulombwall 8, 85748 Garching, Germany
| | - Walter Schüssler
- Bavarian Environment Agency, Bürgermeister-Ulrich-Str. 160, 86179 Augsburg, Germany
| | - Manfred Sengl
- Bavarian Environment Agency, Bürgermeister-Ulrich-Str. 160, 86179 Augsburg, Germany.
| | - Marion Letzel
- Bavarian Environment Agency, Bürgermeister-Ulrich-Str. 160, 86179 Augsburg, Germany
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47
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Transformation products of emerging contaminants in the environment and high-resolution mass spectrometry: a new horizon. Anal Bioanal Chem 2015; 407:6257-73. [DOI: 10.1007/s00216-015-8739-6] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Revised: 04/12/2015] [Accepted: 04/24/2015] [Indexed: 12/21/2022]
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48
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Non-target screening with high-resolution mass spectrometry: critical review using a collaborative trial on water analysis. Anal Bioanal Chem 2015; 407:6237-55. [DOI: 10.1007/s00216-015-8681-7] [Citation(s) in RCA: 385] [Impact Index Per Article: 42.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Revised: 04/02/2015] [Accepted: 04/07/2015] [Indexed: 12/27/2022]
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49
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Leendert V, Van Langenhove H, Demeestere K. Trends in liquid chromatography coupled to high-resolution mass spectrometry for multi-residue analysis of organic micropollutants in aquatic environments. Trends Analyt Chem 2015. [DOI: 10.1016/j.trac.2015.01.010] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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50
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Targeted and non-targeted liquid chromatography-mass spectrometric workflows for identification of transformation products of emerging pollutants in the aquatic environment. Trends Analyt Chem 2015. [DOI: 10.1016/j.trac.2014.11.009] [Citation(s) in RCA: 214] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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