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Batt AL, Brunelle LD, Quinete NS, Stebel EK, Ng B, Gardinali P, Chao A, Huba AK, Glassmeyer ST, Alvarez DA, Kolpin DW, Furlong ET, Mills MA. Investigating the chemical space coverage of multiple chromatographic and ionization methods using non-targeted analysis on surface and drinking water collected using passive sampling. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 955:176922. [PMID: 39426538 DOI: 10.1016/j.scitotenv.2024.176922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Revised: 10/10/2024] [Accepted: 10/12/2024] [Indexed: 10/21/2024]
Abstract
Multiple non-targeted analysis tools were used to look for a broad range of possible chemical contaminants present in surface and drinking water using liquid chromatography separation and high-resolution mass spectrometry detection, including both quadrupole time of flight (Q-ToF) and Orbitrap instruments. Two chromatographic techniques were evaluated on an LC-Q-ToF with electrospray ionization in both positive and negative modes: (1) the traditionally used reverse phase C18 and (2) the hydrophilic interaction liquid chromatography (HILIC) aimed to capture more polar contaminants that may be present in water. Multiple ionization modes were evaluated with an LC-Orbitrap, including electrospray (ESI) and atmospheric pressure chemical ionization (APCI), also in both positive and negative modes. A suspect screening library of over 1300 possible environmental contaminants, including pesticides, pharmaceuticals, personal care products, illicit drugs/drugs of abuse, and various anthropogenic markers was made with experimentally collected data with the LC-Q-ToF with both column types, with 227 chemicals being retained by the HILIC column. The non-targeted methods using multiple chromatographic and ionization modes were applied to environmental water samples collected with polar organic chemical integrative samplers (POCIS), including surface water upstream and downstream from wastewater effluent discharge, and the downstream drinking water intake and treated drinking water for three distinct sampling events. For the LC-Q-ToF, 442 chemical features were detected on the C18 column and 91 with the HILIC column in the POCIS extracts, while 556 features were found on the Orbitrap workflow by ESI and 131 features detected by APCI. Over 100 chemicals were tentatively identified by suspect screening and database searching. The comprehensive and systematic evaluation of these methods serve as a step in characterizing the chemical space covered when utilizing different chromatography and ionization methods, or different instrument workflows on complex environmental mixtures.
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Affiliation(s)
- Angela L Batt
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Solutions and Emergency Response, Cincinnati, OH 45268, United States.
| | - Laura D Brunelle
- Oak Ridge Institute for Science and Education (ORISE) Participant at the U.S. Environmental Protection Agency, 26 W. Martin Luther King Dr, Cincinnati, OH 45268, United States
| | - Natalia S Quinete
- Florida International University, Institute of Environment, Department of Chemistry & Biochemistry, North Miami, FL 33181, United States
| | - Eva K Stebel
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Solutions and Emergency Response, Cincinnati, OH 45268, United States
| | - Brian Ng
- Florida International University, Institute of Environment, Department of Chemistry & Biochemistry, North Miami, FL 33181, United States
| | - Piero Gardinali
- Florida International University, Institute of Environment, Department of Chemistry & Biochemistry, North Miami, FL 33181, United States
| | - Alex Chao
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Research Triangle Park, NC 27709, United States
| | - Anna K Huba
- Florida International University, Institute of Environment, Department of Chemistry & Biochemistry, North Miami, FL 33181, United States
| | - Susan T Glassmeyer
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Solutions and Emergency Response, Cincinnati, OH 45268, United States
| | - David A Alvarez
- U.S. Geological Survey, Columbia Environmental Research Center, Columbia, MO 65201, United States
| | - Dana W Kolpin
- U.S. Geological Survey, Central Midwest Water Science Center, Iowa City, IA 52240, United States
| | - Edward T Furlong
- U.S. Geological Survey, Strategic Laboratory Services Branch, Laboratory Analytical Services Division, Denver, CO 80225, United States
| | - Marc A Mills
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Solutions and Emergency Response, Cincinnati, OH 45268, United States
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Handl S, Kutlucinar KG, Allabashi R, Troyer C, Mayr E, Perfler R, Hann S. Assessment of dynamics and variability of organic substances in river bank filtration for prioritisation in analytical workflows. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:53410-53423. [PMID: 39192150 PMCID: PMC11379727 DOI: 10.1007/s11356-024-34783-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 08/19/2024] [Indexed: 08/29/2024]
Abstract
Bank filtration supports the growing global demand for drinking water amidst concerns over organic micropollutants (OMPs). Efforts to investigate, regulate and manage OMPs have intensified due to their documented impacts on ecosystems and human health. Non-targeted analysis (NTA) is critical for addressing the challenge of numerous OMPs. While identification in NTA typically prioritises compounds based on properties like toxicity, considering substance quantity, occurrence frequency and exposure duration is essential for comprehensive risk management. A prioritisation scheme, drawing from intensive sampling and NTA of bank filtrate, is presented and reveals significant variability in OMP occurrence. Quasi-omnipresent substances, though only 7% of compounds, accounted for 44% of cumulative detections. Moderately common substances, constituting 31% of compounds, accounted for 50% of cumulative detections. Rare compounds, comprising 61%, contributed only 6% to cumulative detections. The application of suspect screening for 31 substances to the dataset yielded results akin to NTA, underscoring NTA's value. Correlation between both methods demonstrates the efficacy of high-resolution mass spectrometry-based NTA in assessing temporal and quantitative OMP dynamics.
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Affiliation(s)
- Sebastian Handl
- Department of Water, Atmosphere and Environment, Institute of Sanitary Engineering and Water Pollution Control, University of Natural Resources and Life Sciences, Vienna (BOKU), Muthgasse 18, 1190, Vienna, Austria.
| | - Kaan Georg Kutlucinar
- Department of Water, Atmosphere and Environment, Institute of Sanitary Engineering and Water Pollution Control, University of Natural Resources and Life Sciences, Vienna (BOKU), Muthgasse 18, 1190, Vienna, Austria
- Department of Chemistry, Institute of Analytical Chemistry, University of Natural Resources and Life Sciences, Vienna (BOKU), Muthgasse 18, 1190, Vienna, Austria
| | - Roza Allabashi
- Department of Water, Atmosphere and Environment, Institute of Sanitary Engineering and Water Pollution Control, University of Natural Resources and Life Sciences, Vienna (BOKU), Muthgasse 18, 1190, Vienna, Austria
| | - Christina Troyer
- Department of Chemistry, Institute of Analytical Chemistry, University of Natural Resources and Life Sciences, Vienna (BOKU), Muthgasse 18, 1190, Vienna, Austria
| | - Ernest Mayr
- Department of Water, Atmosphere and Environment, Institute of Sanitary Engineering and Water Pollution Control, University of Natural Resources and Life Sciences, Vienna (BOKU), Muthgasse 18, 1190, Vienna, Austria
| | - Reinhard Perfler
- Department of Water, Atmosphere and Environment, Institute of Sanitary Engineering and Water Pollution Control, University of Natural Resources and Life Sciences, Vienna (BOKU), Muthgasse 18, 1190, Vienna, Austria
| | - Stephan Hann
- Department of Chemistry, Institute of Analytical Chemistry, University of Natural Resources and Life Sciences, Vienna (BOKU), Muthgasse 18, 1190, Vienna, Austria
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Newmeyer MN, Lyu Q, Sobus JR, Williams AJ, Nachman KE, Prasse C. Combining Nontargeted Analysis with Computer-Based Hazard Comparison Approaches to Support Prioritization of Unregulated Organic Contaminants in Biosolids. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:12135-12146. [PMID: 38916220 PMCID: PMC11381038 DOI: 10.1021/acs.est.4c02934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Biosolids are a byproduct of wastewater treatment that can be beneficially applied to agricultural land as a fertilizer. While U.S. regulations limit metals and pathogens in biosolids intended for land applications, no organic contaminants are currently regulated. Novel techniques can aid in detection, evaluation, and prioritization of biosolid-associated organic contaminants (BOCs). For example, nontargeted analysis (NTA) can detect a broad range of chemicals, producing data sets representing thousands of measured analytes that can be combined with computational toxicological tools to support human and ecological hazard assessment and prioritization. We combined NTA with a computer-based tool from the U.S. EPA, the Cheminformatics Hazard Comparison Module (HCM), to identify and prioritize BOCs present in U.S. and Canadian biosolids (n = 16). Four-hundred fifty-one features were detected in at least 80% of samples, with identities of 92 compounds confirmed or assigned probable structures. These compounds were primarily categorized as endogenous compounds, pharmaceuticals, industrial chemicals, and fragrances. Examples of top prioritized compounds were p-cresol and chlorophene, based on human health end points, and fludioxonil and triclocarban, based on ecological health end points. Combining NTA results with hazard comparison data allowed us to prioritize compounds to be included in future studies of the environmental fate and transport of BOCs.
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Affiliation(s)
- Matthew N Newmeyer
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Qinfan Lyu
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Jon R Sobus
- Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27709, United States
| | - Antony J Williams
- Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27709, United States
| | - Keeve E Nachman
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, Maryland 21205, United States
- Risk Sciences and Public Policy Institute, Johns Hopkins University, Baltimore, Maryland 21205, United States
- Center for a Livable Future, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Carsten Prasse
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, Maryland 21205, United States
- Risk Sciences and Public Policy Institute, Johns Hopkins University, Baltimore, Maryland 21205, United States
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Szabo D, Falconer TM, Fisher CM, Heise T, Phillips AL, Vas G, Williams AJ, Kruve A. Online and Offline Prioritization of Chemicals of Interest in Suspect Screening and Non-targeted Screening with High-Resolution Mass Spectrometry. Anal Chem 2024; 96:3707-3716. [PMID: 38380899 PMCID: PMC10918621 DOI: 10.1021/acs.analchem.3c05705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/30/2024] [Accepted: 02/07/2024] [Indexed: 02/22/2024]
Abstract
Recent advances in high-resolution mass spectrometry (HRMS) have enabled the detection of thousands of chemicals from a single sample, while computational methods have improved the identification and quantification of these chemicals in the absence of reference standards typically required in targeted analysis. However, to determine the presence of chemicals of interest that may pose an overall impact on ecological and human health, prioritization strategies must be used to effectively and efficiently highlight chemicals for further investigation. Prioritization can be based on a chemical's physicochemical properties, structure, exposure, and toxicity, in addition to its regulatory status. This Perspective aims to provide a framework for the strategies used for chemical prioritization that can be implemented to facilitate high-quality research and communication of results. These strategies are categorized as either "online" or "offline" prioritization techniques. Online prioritization techniques trigger the isolation and fragmentation of ions from the low-energy mass spectra in real time, with user-defined parameters. Offline prioritization techniques, in contrast, highlight chemicals of interest after the data has been acquired; detected features can be filtered and ranked based on the relative abundance or the predicted structure, toxicity, and concentration imputed from the tandem mass spectrum (MS2). Here we provide an overview of these prioritization techniques and how they have been successfully implemented and reported in the literature to find chemicals of elevated risk to human and ecological environments. A complete list of software and tools is available from https://nontargetedanalysis.org/.
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Affiliation(s)
- Drew Szabo
- Department
of Materials and Environmental Chemistry, Stockholm University, Stockholm 106 91, Sweden
| | - Travis M. Falconer
- Forensic
Chemistry Center, Office of Regulatory Science, Office of Regulatory
Affairs, US Food and Drug Administration, Cincinnati, Ohio 45237, United States
| | - Christine M. Fisher
- Center
for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, Maryland 20740, United States
| | - Ted Heise
- MED
Institute Inc, West Lafayette, Indiana 47906, United States
| | - Allison L. Phillips
- Center
for Public Health and Environmental Assessment, US Environmental Protection Agency, Corvallis, Oregon 97333, United States
| | - Gyorgy Vas
- VasAnalytical, Flemington, New Jersey 08822, United States
- Intertek
Pharmaceutical Services, Whitehouse, New Jersey 08888, United States
| | - Antony J. Williams
- Center
for Computational Toxicology and Exposure, Office of Research and
Development, US Environmental Protection
Agency, Durham, North Carolina 27711, United States
| | - Anneli Kruve
- Department
of Materials and Environmental Chemistry, Stockholm University, Stockholm 106 91, Sweden
- Department
of Environmental Science, Stockholm University, Stockholm 106 91, Sweden
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