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Liang W, Chen T, Zhang Y, Lu X, Liu X, Zhao C, Xu G. Fragmentation characteristics-based nontargeted screening method of exogenous chemical residues in animal-derived foods using reversed-phase and hydrophilic interaction liquid chromatography-high-resolution mass spectrometry. Talanta 2024; 275:126116. [PMID: 38640518 DOI: 10.1016/j.talanta.2024.126116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/07/2024] [Accepted: 04/13/2024] [Indexed: 04/21/2024]
Abstract
Fragmentation characteristics are crucial for nontargeted screening to discover and identify unknown exogenous chemical residues in animal-derived foods. In this study, first, fragmentation characteristics of 51 classes of exogenous chemical residues were summarized based on experimental mass spectra of standards in reversed-phase and hydrophilic interaction liquid chromatography-high-resolution mass spectrometry (MS) and mass spectra from the MassBank of North America (MoNA) library. According to the proportion of fragmentation characteristics to the total number of chemical residues in each class, four screening levels were defined to classify 51 classes of chemical residues. Then, a nontargeted screening method was developed based on the fragmentation characteristics. The evaluation results of 82 standards indicated that more than 90 % of the chemical residues with MS/MS spectra can be identified at concentrations of 100 and 500 μg/kg, and about 80 % can be identified at 10 μg/kg. Finally, the nontargeted screening method was applied to 16 meat samples and 21 egg samples as examples. As a result, eight chemical residues and transformation products (TPs) of 5 classes in the exemplary samples were found and identified, in which 3 TPs of azithromycin were identified by fragmentation characteristics-assisted structure interpretation. The results demonstrated the practicability of the nontargeted screening method for routine risk screening of food safety.
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Affiliation(s)
- Wenying Liang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China.
| | - Tiantian Chen
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China.
| | - Yujie Zhang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China.
| | - Xin Lu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China.
| | - Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China.
| | - Chunxia Zhao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China.
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Liaoning Province Key Laboratory of Metabolomics, Dalian, 116023, China.
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2
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Tkalec Ž, Antignac JP, Bandow N, Béen FM, Belova L, Bessems J, Le Bizec B, Brack W, Cano-Sancho G, Chaker J, Covaci A, Creusot N, David A, Debrauwer L, Dervilly G, Duca RC, Fessard V, Grimalt JO, Guerin T, Habchi B, Hecht H, Hollender J, Jamin EL, Klánová J, Kosjek T, Krauss M, Lamoree M, Lavison-Bompard G, Meijer J, Moeller R, Mol H, Mompelat S, Van Nieuwenhuyse A, Oberacher H, Parinet J, Van Poucke C, Roškar R, Togola A, Trontelj J, Price EJ. Innovative analytical methodologies for characterizing chemical exposure with a view to next-generation risk assessment. ENVIRONMENT INTERNATIONAL 2024; 186:108585. [PMID: 38521044 DOI: 10.1016/j.envint.2024.108585] [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: 08/18/2023] [Revised: 03/14/2024] [Accepted: 03/15/2024] [Indexed: 03/25/2024]
Abstract
The chemical burden on the environment and human population is increasing. Consequently, regulatory risk assessment must keep pace to manage, reduce, and prevent adverse impacts on human and environmental health associated with hazardous chemicals. Surveillance of chemicals of known, emerging, or potential future concern, entering the environment-food-human continuum is needed to document the reality of risks posed by chemicals on ecosystem and human health from a one health perspective, feed into early warning systems and support public policies for exposure mitigation provisions and safe and sustainable by design strategies. The use of less-conventional sampling strategies and integration of full-scan, high-resolution mass spectrometry and effect-directed analysis in environmental and human monitoring programmes have the potential to enhance the screening and identification of a wider range of chemicals of known, emerging or potential future concern. Here, we outline the key needs and recommendations identified within the European Partnership for Assessment of Risks from Chemicals (PARC) project for leveraging these innovative methodologies to support the development of next-generation chemical risk assessment.
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Affiliation(s)
- Žiga Tkalec
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic; Jožef Stefan Institute, Department of Environmental Sciences, Ljubljana, Slovenia.
| | | | - Nicole Bandow
- German Environment Agency, Laboratory for Water Analysis, Colditzstraße 34, 12099 Berlin, Germany.
| | - Frederic M Béen
- Vrije Universiteit Amsterdam, Amsterdam Institute for Life and Environment (A-LIFE), Section Chemistry for Environment and Health, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands; KWR Water Research Institute, Nieuwegein, The Netherlands.
| | - Lidia Belova
- Toxicological Center, University of Antwerp, 2610 Wilrijk, Belgium.
| | - Jos Bessems
- Flemish Institute for Technological Research (VITO), Mol, Belgium.
| | | | - Werner Brack
- Helmholtz Centre for Environmental Research GmbH - UFZ, Department of Effect-Directed Analysis, Permoserstraße 15, 04318 Leipzig, Germany; Goethe University Frankfurt, Department of Evolutionary Ecology and Environmental Toxicology, Max-von-Laue-Strasse 13, 60438 Frankfurt, Germany.
| | | | - Jade Chaker
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France.
| | - Adrian Covaci
- Toxicological Center, University of Antwerp, 2610 Wilrijk, Belgium.
| | - Nicolas Creusot
- INRAE, French National Research Institute For Agriculture, Food & Environment, UR1454 EABX, Bordeaux Metabolome, MetaboHub, Gazinet Cestas, France.
| | - Arthur David
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France.
| | - Laurent Debrauwer
- Toxalim (Research Centre in Food Toxicology), INRAE UMR 1331, ENVT, INP-Purpan, Paul Sabatier University (UPS), Toulouse, France.
| | | | - Radu Corneliu Duca
- Unit Environmental Hygiene and Human Biological Monitoring, Department of Health Protection, Laboratoire National de Santé (LNS), 1 Rue Louis Rech, L-3555 Dudelange, Luxembourg; Environment and Health, Department of Public Health and Primary Care, Katholieke Universiteit of Leuven (KU Leuven), 3000 Leuven, Belgium.
| | - Valérie Fessard
- ANSES, French Agency for Food, Environmental and Occupational Health & Safety, Laboratory of Fougères, Toxicology of Contaminants Unit, 35306 Fougères, France.
| | - Joan O Grimalt
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Catalonia, Spain.
| | - Thierry Guerin
- ANSES, French Agency for Food, Environmental and Occupational Health & Safety, Strategy and Programs Department, F-94701 Maisons-Alfort, France.
| | - Baninia Habchi
- INRS, Département Toxicologie et Biométrologie Laboratoire Biométrologie 1, rue du Morvan - CS 60027 - 54519, Vandoeuvre Cedex, France.
| | - Helge Hecht
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
| | - Juliane Hollender
- Swiss Federal Institute of Aquatic Science and Technology - Eawag, 8600 Dübendorf, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland.
| | - Emilien L Jamin
- Toxalim (Research Centre in Food Toxicology), INRAE UMR 1331, ENVT, INP-Purpan, Paul Sabatier University (UPS), Toulouse, France.
| | - Jana Klánová
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
| | - Tina Kosjek
- Jožef Stefan Institute, Department of Environmental Sciences, Ljubljana, Slovenia.
| | - Martin Krauss
- Helmholtz Centre for Environmental Research GmbH - UFZ, Department of Effect-Directed Analysis, Permoserstraße 15, 04318 Leipzig, Germany.
| | - Marja Lamoree
- Vrije Universiteit Amsterdam, Amsterdam Institute for Life and Environment (A-LIFE), Section Chemistry for Environment and Health, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands.
| | - Gwenaelle Lavison-Bompard
- ANSES, French Agency for Food, Environmental and Occupational Health & Safety, Laboratory for Food Safety, Pesticides and Marine Biotoxins Unit, F-94701 Maisons-Alfort, France.
| | - Jeroen Meijer
- Vrije Universiteit Amsterdam, Amsterdam Institute for Life and Environment (A-LIFE), Section Chemistry for Environment and Health, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands.
| | - Ruth Moeller
- Unit Medical Expertise and Data Intelligence, Department of Health Protection, Laboratoire National de Santé (LNS), 1 Rue Louis Rech, L-3555 Dudelange, Luxembourg.
| | - Hans Mol
- Wageningen Food Safety Research - Part of Wageningen University and Research, Akkermaalsbos 2, 6708 WB, Wageningen, The Netherlands.
| | - Sophie Mompelat
- ANSES, French Agency for Food, Environmental and Occupational Health & Safety, Laboratory of Fougères, Toxicology of Contaminants Unit, 35306 Fougères, France.
| | - An Van Nieuwenhuyse
- Environment and Health, Department of Public Health and Primary Care, Katholieke Universiteit of Leuven (KU Leuven), 3000 Leuven, Belgium; Department of Health Protection, Laboratoire National de Santé (LNS), 1 Rue Louis Rech, L-3555 Dudelange, Luxembourg.
| | - Herbert Oberacher
- Institute of Legal Medicine and Core Facility Metabolomics, Medical University of Insbruck, 6020 Innsbruck, Austria.
| | - Julien Parinet
- ANSES, French Agency for Food, Environmental and Occupational Health & Safety, Laboratory for Food Safety, Pesticides and Marine Biotoxins Unit, F-94701 Maisons-Alfort, France.
| | - Christof Van Poucke
- Flanders Research Institute for Agriculture, Fisheries And Food (ILVO), Brusselsesteenweg 370, 9090 Melle, Belgium.
| | - Robert Roškar
- University of Ljubljana, Faculty of Pharmacy, Slovenia.
| | - Anne Togola
- BRGM, 3 avenue Claude Guillemin, 45060 Orléans, France.
| | | | - Elliott J Price
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
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Vosough M, Schmidt TC, Renner G. Non-target screening in water analysis: recent trends of data evaluation, quality assurance, and their future perspectives. Anal Bioanal Chem 2024; 416:2125-2136. [PMID: 38300263 PMCID: PMC10951028 DOI: 10.1007/s00216-024-05153-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/12/2024] [Accepted: 01/12/2024] [Indexed: 02/02/2024]
Abstract
This trend article provides an overview of recent advancements in Non-Target Screening (NTS) for water quality assessment, focusing on new methods in data evaluation, qualification, quantification, and quality assurance (QA/QC). It highlights the evolution in NTS data processing, where open-source platforms address challenges in result comparability and data complexity. Advanced chemometrics and machine learning (ML) are pivotal for trend identification and correlation analysis, with a growing emphasis on automated workflows and robust classification models. The article also discusses the rigorous QA/QC measures essential in NTS, such as internal standards, batch effect monitoring, and matrix effect assessment. It examines the progress in quantitative NTS (qNTS), noting advancements in ionization efficiency-based quantification and predictive modeling despite challenges in sample variability and analytical standards. Selected studies illustrate NTS's role in water analysis, combining high-resolution mass spectrometry with chromatographic techniques for enhanced chemical exposure assessment. The article addresses chemical identification and prioritization challenges, highlighting the integration of database searches and computational tools for efficiency. Finally, the article outlines the future research needs in NTS, including establishing comprehensive guidelines, improving QA/QC measures, and reporting results. It underscores the potential to integrate multivariate chemometrics, AI/ML tools, and multi-way methods into NTS workflows and combine various data sources to understand ecosystem health and protection comprehensively.
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Affiliation(s)
- Maryam Vosough
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, Essen, 45141, North Rhine-Westphalia, Germany.
- Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, Universitätsstr. 2, Essen, 45141, North Rhine-Westphalia, Germany.
- Department of Clean Technologies, Chemistry and Chemical Engineering Research Center of Iran, P.O. Box 14335-186, Tehran, Iran.
| | - Torsten C Schmidt
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, Essen, 45141, North Rhine-Westphalia, Germany
- Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, Universitätsstr. 2, Essen, 45141, North Rhine-Westphalia, Germany
- IWW Water Centre, Moritzstr. 26, Mülheim an der Ruhr, 45476, North Rhine-Westphalia, Germany
| | - Gerrit Renner
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, Essen, 45141, North Rhine-Westphalia, Germany.
- Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, Universitätsstr. 2, Essen, 45141, North Rhine-Westphalia, Germany.
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Musatadi M, Baciero-Hernández I, Prieto A, Olivares M, Etxebarria N, Zuloaga O. Development and evaluation of a comprehensive workflow for suspect screening of exposome-related xenobiotics and phase II metabolites in diverse human biofluids. CHEMOSPHERE 2024; 351:141221. [PMID: 38224745 DOI: 10.1016/j.chemosphere.2024.141221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 12/07/2023] [Accepted: 01/12/2024] [Indexed: 01/17/2024]
Abstract
Suspect and non-target screening (SNTS) methods are being promoted in order to decode the human exposome since a wide chemical space can be analysed in a diversity of human biofluids. However, SNTS approaches in the exposomics field are infra-studied in comparison to environmental or food monitoring studies. In this work, a comprehensive suspect screening workflow was developed to annotate exposome-related xenobiotics and phase II metabolites in diverse human biofluids. Precisely, human urine, breast milk, saliva and ovarian follicular fluid were employed as samples and analysed by means of ultra-high performance liquid chromatography coupled with high resolution tandem mass spectrometry (UHPLC-HRMS/MS). To automate the workflow, the "peak rating" parameter implemented in Compound Discoverer 3.3.2 was optimized to avoid time-consuming manual revision of chromatographic peaks. In addition, the presence of endogenous molecules that might interfere with the annotation of xenobiotics was carefully studied as the employment of inclusion and exclusion suspect lists. To evaluate the workflow, limits of identification (LOIs) and type I and II errors (i.e., false positives and negatives, respectively) were calculated in both standard solutions and spiked biofluids using 161 xenobiotics and 22 metabolites. For 80.3 % of the suspects, LOIs below 15 ng/mL were achieved. In terms of type I errors, only two cases were identified in standards and spiked samples. Regarding type II errors, the 7.7 % errors accounted in standards increased to 17.4 % in real samples. Lastly, the use of an inclusion list for endogens was favoured since it avoided 18.7 % of potential type I errors, while the exclusion list caused 7.2 % of type II errors despite making the annotation workflow less time-consuming.
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Affiliation(s)
- Mikel Musatadi
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain.
| | - Inés Baciero-Hernández
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain
| | - Ailette Prieto
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain
| | - Maitane Olivares
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain
| | - Nestor Etxebarria
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain
| | - Olatz Zuloaga
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain
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5
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Li Y, Lu Z, Zhang X, Wang J, Zhao S, Dai Y. Non-targeted analysis based on quantitative prediction and toxicity assessment for emerging contaminants in tire particle leachates. ENVIRONMENTAL RESEARCH 2024; 243:117806. [PMID: 38043899 DOI: 10.1016/j.envres.2023.117806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 11/22/2023] [Accepted: 11/26/2023] [Indexed: 12/05/2023]
Abstract
Non-targeted analysis (NTA) has great potential to screen emerging contaminants in the environment, and some studies have conducted in-depth investigation on environmental samples. Here, we used a NTA workflow to identify emerging contaminants in used tire particle (TP) leachates, followed by quantitative prediction and toxicity assessment based on hazard scores. Tire particles were obtained from four different types of automobiles, representing the most common tires during daily transportation. With the instrumental analysis of TP leachates, a total of 244 positive and 104 negative molecular features were extracted from the mass data. After filtering by a specialized emerging contaminants list and matching by spectral databases, a total of 51 molecular features were tentatively identified as contaminants, including benzothiazole, hexaethylene glycol, 2-hydroxybenzaldehyde, etc. Given that these contaminants have different mass spectral responses in the mass spectrometry, models for predicting the response of contaminants were constructed based on machine learning algorithms, in this case random forest and artificial neural networks. After five-fold cross-validation, the random forest algorithm model had better prediction performance (MAECV = 0.12, Q2 = 0.90), and thus it was chosen to predict the contaminant concentrations. The prediction results showed that the contaminant at the highest concentration was benzothiazole, with 4,875 μg/L in the winter tire sample. In addition, the joint toxicity assessment of four types of tires was conducted in this study. According to different hazard levels, hazard scores increasing by a factor 10 were developed, and hazard scores of all the contaminants identified in each TP leachate were summed to obtain the total hazard score. All four tires were calculated to have relatively high risks, with winter tires having the highest total hazard score of 40,751. This study extended the application of NTA research and led to the direction of subsequent targeting studies on highly concentrated and toxic contaminants.
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Affiliation(s)
- Yubo Li
- Shanghai Municipal Engineering Design Institute (Group) Co. LTD., Shanghai, 200092, PR China
| | - Zhibo Lu
- College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, PR China; State Key Laboratory of Pollution Control and Resource Reuse, Shanghai, 200092, PR China.
| | - Xin Zhang
- Shanghai Municipal Engineering Design Institute (Group) Co. LTD., Shanghai, 200092, PR China
| | - Juan Wang
- College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, PR China; State Key Laboratory of Pollution Control and Resource Reuse, Shanghai, 200092, PR China
| | - Shuiqian Zhao
- Shanghai Municipal Engineering Design Institute (Group) Co. LTD., Shanghai, 200092, PR China
| | - Yuxuan Dai
- Academy of Interdisciplinary Studies, The Hong Kong University of Science and Technology, Hong Kong, 999077, PR China
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Krauss M, Huber C, Schulze T, Bartel-Steinbach M, Weber T, Kolossa-Gehring M, Lermen D. Assessing background contamination of sample tubes used in human biomonitoring by non-targeted liquid chromatography-high resolution mass spectrometry. ENVIRONMENT INTERNATIONAL 2024; 183:108426. [PMID: 38228043 DOI: 10.1016/j.envint.2024.108426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 11/30/2023] [Accepted: 01/03/2024] [Indexed: 01/18/2024]
Abstract
Controlling and minimising background contamination is crucial for maintaining a high quality of samples in human biomonitoring targeting organic chemicals. We assessed the contamination of three previous types and one newly introduced medical-grade type of sample tubes used for storing human body fluids at the German Environmental Specimen Bank. Aqueous extracts from these tubes were analysed by non-targeted liquid chromatography-high resolution mass spectrometry (LC-HRMS) before and after a dedicated cleaning procedure. After peak detection using MZmine, Bayesian hypothesis testing was used to group peaks into those originating either from instrumental and laboratory background contamination, or actual tube contaminants, based on if their peak height was reduced, increased or not affected by the cleaning procedure. For all four tube types 80-90% of the 2475 peaks (1549 in positive and 926 in negative mode) were assigned to laboratory/instrumental background, which we have to consider as potential sample tube contaminants. Among the tube contaminants, results suggest a considerable difference in the contaminant peak inventory and the absolute level of contamination among the different sample tube types. The cleaning procedure did not affect the largest fraction of peaks (50-70%). For the medical grade tubes, the removal of contaminants by the cleaning procedure was strongest compared to the previous tubes, but in all cases a small fraction increased in intensity after cleaning, probably due to a release of oligomers or additives. The identified laboratory background contaminants were mainly semi-volatile polymer additives such as phthalates and phosphate esters. A few compounds could be assigned solely as tube-specific contaminants, such as N,N-dibutylformamide and several constituents of the oligomeric light stabiliser Tinuvin-622. A cleaning procedure before use is an effective way to standardise the used sample tubes and minimises the background contamination, and therefore increases sample quality and therewith analytical results.
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Affiliation(s)
- Martin Krauss
- Helmholtz Centre for Environmental Research - UFZ, Department Exposure Science, Permoserstr. 15, 04318 Leipzig, Germany.
| | - Carolin Huber
- Helmholtz Centre for Environmental Research - UFZ, Department Exposure Science, Permoserstr. 15, 04318 Leipzig, Germany; Institute of Ecology, Diversity and Evolution, Goethe University Frankfurt Biologicum, Campus Riedberg, Max-von-Laue-Str. 13, 60438 Frankfurt am Main, Germany
| | - Tobias Schulze
- Helmholtz Centre for Environmental Research - UFZ, Department Exposure Science, Permoserstr. 15, 04318 Leipzig, Germany
| | - Martina Bartel-Steinbach
- Fraunhofer Institute for Biomedical Engineering IBMT, Joseph-von-Fraunhofer-Weg 1, 66280 Sulzbach, Germany
| | - Till Weber
- German Environment Agency (UBA), Corrensplatz 1, 14195 Berlin, Germany
| | | | - Dominik Lermen
- Fraunhofer Institute for Biomedical Engineering IBMT, Joseph-von-Fraunhofer-Weg 1, 66280 Sulzbach, Germany.
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Musatadi M, Andrés-Maguregi A, De Angelis F, Prieto A, Anakabe E, Olivares M, Etxebarria N, Zuloaga O. The role of sample preparation in suspect and non-target screening for exposome analysis using human urine. CHEMOSPHERE 2023; 339:139690. [PMID: 37541438 DOI: 10.1016/j.chemosphere.2023.139690] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 07/18/2023] [Accepted: 07/30/2023] [Indexed: 08/06/2023]
Abstract
The use of suspect and non-target screening (SNTS) for the characterization of the chemical exposome employing human biofluids is gaining attention. Among the biofluids, urine is one of the preferred matrices since organic xenobiotics are excreted through it after metabolization. However, achieving a consensus between selectivity (i.e. preserving as many compounds as possible) and sensitivity (i.e. minimizing matrix effects by removing interferences) at the sample preparation step is challenging. Within this context, several sample preparation approaches, including solid-phase extraction (SPE), liquid-liquid extraction (LLE), salt-assisted LLE (SALLE) and dilute-and-shoot (DS) were tested to screen not only exogenous compounds in human urine but also their phase II metabolites using liquid-chromatography coupled to high-resolution tandem mass spectrometry (LC-HRMS/MS). Additionally, enzymatic hydrolysis of phase II metabolites was evaluated. Under optimal conditions, SPE resulted in the best sample preparation approach in terms of the number of detected xenobiotics and metabolites since 97.1% of the total annotated suspects were present in samples extracted by SPE. In LLE and SALLE, pure ethyl acetate turned out to be the best extractant but fewer suspects than with SPE (80.7%) were screened. Lastly, only 52.5% of the suspects were annotated in the DS approach, showing that it could only be used to detect compounds at high concentration levels. Using pure standards, the presence of diverse xenobiotics such as parabens, industrial chemicals (benzophenone-3, caprolactam and mono-2-ethyl-5-hydroxyhexyl phthalate) and chemicals related to daily habits (caffeine, cotinine or triclosan) was confirmed. Regarding enzymatic hydrolysis, only 10 parent compounds of the 44 glucuronides were successfully annotated in the hydrolysed samples. Therefore, the screening of metabolites in non-hydrolysed samples through SNTS is the most suitable approach for exposome characterization.
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Affiliation(s)
- Mikel Musatadi
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain.
| | - Asier Andrés-Maguregi
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain
| | - Francesca De Angelis
- Department of Chemistry and Industrial Chemistry, University of Pisa, 56124, Pisa, Italy
| | - Ailette Prieto
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain
| | - Eneritz Anakabe
- Department of Organic and Inorganic Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain
| | - Maitane Olivares
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain
| | - Nestor Etxebarria
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain
| | - Olatz Zuloaga
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), 48940, Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology, University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain
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8
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Ruan T, Li P, Wang H, Li T, Jiang G. Identification and Prioritization of Environmental Organic Pollutants: From an Analytical and Toxicological Perspective. Chem Rev 2023; 123:10584-10640. [PMID: 37531601 DOI: 10.1021/acs.chemrev.3c00056] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Exposure to environmental organic pollutants has triggered significant ecological impacts and adverse health outcomes, which have been received substantial and increasing attention. The contribution of unidentified chemical components is considered as the most significant knowledge gap in understanding the combined effects of pollutant mixtures. To address this issue, remarkable analytical breakthroughs have recently been made. In this review, the basic principles on recognition of environmental organic pollutants are overviewed. Complementary analytical methodologies (i.e., quantitative structure-activity relationship prediction, mass spectrometric nontarget screening, and effect-directed analysis) and experimental platforms are briefly described. The stages of technique development and/or essential parts of the analytical workflow for each of the methodologies are then reviewed. Finally, plausible technique paths and applications of the future nontarget screening methods, interdisciplinary techniques for achieving toxicant identification, and burgeoning strategies on risk assessment of chemical cocktails are discussed.
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Affiliation(s)
- Ting Ruan
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Pengyang Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haotian Wang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tingyu Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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9
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Newmeyer MN, Quirós-Alcalá L, Kavi LK, Louis LM, Prasse C. Implementing a suspect screening method to assess occupational chemical exposures among US-based hairdressers serving an ethnically diverse clientele: a pilot study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023; 33:566-574. [PMID: 36693958 PMCID: PMC10363568 DOI: 10.1038/s41370-023-00519-z] [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: 10/20/2022] [Revised: 12/23/2022] [Accepted: 01/06/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND There are over 700,000 hairdressers in the United States, and it is estimated that >90% are female and 31% are Black or Hispanic/Latina. Racial and ethnic minorities in this workforce may be exposed to a unique mixture of potentially hazardous chemicals from products used and services provided. However, previous biomonitoring studies of hairdressers target a narrow list of compounds and few studies have investigated exposures among minority hairdressers. OBJECTIVE To assess occupational chemical exposures in a sample of US-based Black and Latina hairdressers serving an ethnically diverse clientele by analyzing urine specimens with a suspect screening method. METHODS Post-shift urine samples were collected from a sample of US female hairdressers (n = 23) and office workers (n = 17) and analyzed via reverse-phase liquid chromatography coupled to high-resolution mass spectrometry. Detected compounds were filtered based on peak area differences between groups and matching with a suspect screening list. When possible, compound identities were confirmed with reference standards. Possible exposure sources were evaluated for detected compounds. RESULTS The developed workflow allowed for the detection of 24 compounds with median peak areas ≥2x greater among hairdressers compared to office workers. Product use categories (PUCs) and harmonized functional uses were searched for these compounds, including confirmed compounds methylparaben, ethylparaben, propylparaben, and 2-naphthol. Most product use categories were associated with "personal use" and included 11 different "hair styling and care" product types (e.g., hair conditioner, hair relaxer). Functional uses for compounds without associated PUCs included fragrance, hair and skin conditioning, hair dyeing, and UV stabilizer. SIGNIFICANCE Our suspect screening approach detected several compounds not previously reported in biomonitoring studies of hairdressers. These results will help guide future studies to improve characterization of occupational chemical exposures in this workforce and inform exposure and risk mitigation strategies to reduce potential associated work-related health disparities.
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Affiliation(s)
- Matthew N Newmeyer
- Department of Environmental Health & Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Lesliam Quirós-Alcalá
- Department of Environmental Health & Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Lucy K Kavi
- Maryland Institute of Applied Environmental Health, School of Public Health, University of Maryland, College Park, MD, 20742, USA
| | - Lydia M Louis
- Department of Environmental Health & Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Carsten Prasse
- Department of Environmental Health & Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
- Risk Sciences and Public Policy Institute, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.
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10
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Bieber S, Letzel T, Kruve A. Electrospray Ionization Efficiency Predictions and Analytical Standard Free Quantification for SFC/ESI/HRMS. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023. [PMID: 37358930 DOI: 10.1021/jasms.3c00156] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Supercritical fluid chromatography (SFC) is a promising, sustainable, and complementary alternative to liquid chromatography (LC) and has often been coupled with high resolution mass spectrometry (HRMS) for nontarget screening (NTS). Recent developments in predicting the ionization efficiency for LC/ESI/HRMS have enabled quantification of chemicals detected in NTS even if the analytical standards of the detected and tentatively identified chemicals are unavailable. This poses the question of whether analytical standard free quantification can also be applied in SFC/ES/HRMS. We evaluate both the possibility to transfer an ionization efficiency predictions model, previously trained on LC/ESI/HRMS data, to SFC/ESI/HRMS as well as training a new predictive model on SFC/ESI/HRMS data for 127 chemicals. The response factors of these chemicals ranged over 4 orders of magnitude in spite of a postcolumn makeup flow, expectedly enhancing the ionization of the analytes. The ionization efficiency values were predicted based on a random forest regression model from PaDEL descriptors and predicted values showed statistically significant correlation with the measured response factors (p < 0.05) with Spearman's rho of 0.584 and 0.669 for SFC and LC data, respectively. Moreover, the most significant descriptors showed similarities independent of the chromatography used for collecting the training data. We also investigated the possibility to quantify the detected chemicals based on predicted ionization efficiency values. The model trained on SFC data showed very high prediction accuracy with median prediction error of 2.20×, while the model pretrained on LC/ESI/HRMS data yielded median prediction error of 5.11×. This is expected, as the training and test data for SFC/ESI/HRMS have been collected on the same instrument with the same chromatography. Still, the correlation observed between response factors measured with SFC/ESI/HRMS and predicted with a model trained on LC data hints that more abundant LC/ESI/HRMS data prove useful in understanding and predicting the ionization behavior in SFC/ESI/HRMS.
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Affiliation(s)
- Stefan Bieber
- AFIN-TS GmbH (Analytisches Forschungsinstitut für Non-Target Screening), Am Mittleren Moos 48, 86167 Augsburg, Germany
| | - Thomas Letzel
- AFIN-TS GmbH (Analytisches Forschungsinstitut für Non-Target Screening), Am Mittleren Moos 48, 86167 Augsburg, Germany
| | - Anneli Kruve
- Department of Materials and Environmental Chemistry, Stockholm University, Svante Arrhenius Väg 16, 10691 Stockholm, Sweden
- Department of Environmental Science, Stockholm University, Svante Arrhenius Väg 16, 10691 Stockholm, Sweden
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11
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Yang Y, Yang L, Zheng M, Cao D, Liu G. Data acquisition methods for non-targeted screening in environmental analysis. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
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12
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Arsand JB, Dallegrave A, Jank L, Feijo T, Perin M, Hoff RB, Arenzon A, Gomes A, Pizzolato TM. Spatial-temporal occurrence of contaminants of emerging concern in urban rivers in southern Brazil. CHEMOSPHERE 2023; 311:136814. [PMID: 36283426 DOI: 10.1016/j.chemosphere.2022.136814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/22/2022] [Accepted: 10/06/2022] [Indexed: 06/16/2023]
Abstract
The widespread use and misuse of antibiotics and pesticides has been linked with several risks to the environment and human health. In the present report, the results of the monitoring of 64 pharmaceuticals and 134 pesticides occurrence in an urban river in Southern Brazil are presented and discussed. Sampling campaigns have covered the period 2016-2018. The identification and determination of the analytes were achieved by high-resolution mass spectrometry. The data were analyzed using chemometric tools to obtain spatial-temporal models. Toxicological evaluation was achieved using acute toxicity (zebrafish standardized protocol), and determination of risk quotient. Within the 198 analytes included in the targeted analysis method for surface water, 33 were identified in an urban river during 2 years of monitoring, being 20 pharmaceuticals and 13 pesticides. Using high-resolution mass spectrometry, a suspect screening approach was established in an un-target analysis. The evaluation was carried out using a data bank built from consumption data of drugs and pesticides, in the metropolitan region of Porto Alegre - RS and their respective metabolites. The suspect screening analysis done with a data bank with more than 1450 compounds results in 27 suspect findings. The target analysis results showed a continuous prevalence of non-steroidal anti-inflammatories, analgesics, antipyretics, beta-blockers, corticoids, and antibiotics. Regarding the pesticides, the main classes were fungicides, especially those from triazol and strobilurin classes.
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Affiliation(s)
- Juliana Bazzan Arsand
- Instituto de Química, Universidade Federal Do Rio Grande Do Sul - UFRGS, Av. Bento Gonçalves 9500, ZIP 91501-970, Porto Alegre, RS, Brazil
| | - Alexandro Dallegrave
- Instituto de Química, Universidade Federal Do Rio Grande Do Sul - UFRGS, Av. Bento Gonçalves 9500, ZIP 91501-970, Porto Alegre, RS, Brazil
| | - Louíse Jank
- Laboratório Federal de Defesa Agropecuária - LFDA/RS, Ministério da Agricultura, Pecuária e Abastecimento Do Brasil, Estrada da Ponta Grossa 3036, ZIP 91780-580, Porto Alegre, RS, Brazil
| | - Tiago Feijo
- Instituto de Química, Universidade Federal Do Rio Grande Do Sul - UFRGS, Av. Bento Gonçalves 9500, ZIP 91501-970, Porto Alegre, RS, Brazil
| | - Mauricio Perin
- Instituto de Química, Universidade Federal Do Rio Grande Do Sul - UFRGS, Av. Bento Gonçalves 9500, ZIP 91501-970, Porto Alegre, RS, Brazil; Laboratório Federal de Defesa Agropecuária - LFDA/RS, Ministério da Agricultura, Pecuária e Abastecimento Do Brasil, Estrada da Ponta Grossa 3036, ZIP 91780-580, Porto Alegre, RS, Brazil
| | - Rodrigo Barcellos Hoff
- Laboratório Federal de Defesa Agropecuária - LFDA/RS, Ministério da Agricultura, Pecuária e Abastecimento Do Brasil, Rua João Grumiche 117, ZIP 88102-600, São José, SC, Brazil
| | - Alexandre Arenzon
- Centro de Ecologia, Universidade Federal Do Rio Grande Do Sul - UFRGS, Av. Bento Gonçalves 9500, ZIP 91501-970, Porto Alegre, RS, Brazil
| | - Adriano Gomes
- Instituto de Química, Universidade Federal Do Rio Grande Do Sul - UFRGS, Av. Bento Gonçalves 9500, ZIP 91501-970, Porto Alegre, RS, Brazil
| | - Tânia Mara Pizzolato
- Instituto de Química, Universidade Federal Do Rio Grande Do Sul - UFRGS, Av. Bento Gonçalves 9500, ZIP 91501-970, Porto Alegre, RS, Brazil.
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13
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Towards a harmonized identification scoring system in LC-HRMS/MS based non-target screening (NTS) of emerging contaminants. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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14
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Feng YL, Baesu A. Influence of data acquisition modes and data analysis approaches on non-targeted analysis of phthalate metabolites in human urine. Anal Bioanal Chem 2023; 415:303-316. [PMID: 36346455 PMCID: PMC9823047 DOI: 10.1007/s00216-022-04407-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/12/2022] [Accepted: 10/26/2022] [Indexed: 11/11/2022]
Abstract
Humans are often exposed to phthalates and their alternatives, on account of their widespread use in PVC as plasticizers, which are associated with harmful human effects. While targeted biomonitoring provides quantitative information for exposure assessment, only a small portion of phthalate metabolites has been targeted. This results in a knowledge gap in human exposure to other unknown phthalate compounds and their metabolites. Although the non-targeted analysis (NTA) approach is capable of screening a broad spectrum of chemicals, there is a lack of harmonized workflow in NTA to generate reproducible data within and between different laboratories. The objective of this study was to compare two different NTA data acquisition modes, the data-dependent (DDA) and independent (DIA) acquisition (DDA), as well as two data analysis approaches, based on diagnostic ions and Compound Discoverer software for the prioritization of candidate precursors and identification of unknown compounds in human urine. Liquid chromatography coupled to high-resolution mass spectrometry was used for sample analysis. The combination of three-diagnostic-ion extraction and DDA data acquisition was able to improve data filtering and data analysis for prioritizing phthalate metabolites. With DIA, 25 molecular features were identified in human urine, while 32 molecular features were identified in the same urine samples using DDA data. The number of molecular features identified with level 1 confidence was 11 and 9 using DIA and DDA data, respectively. The study demonstrated that besides sample preparation, the impact of data acquisition must be taken into account when developing a NTA method and a consistent protocol for evaluating such an impact is necessary.
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Affiliation(s)
- Yong-Lai Feng
- Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Environmental and Radiation Health Sciences Directorate, Healthy Environments and Consumer Safety Branch, Health Canada, AL: 2203 B, 251 Sir Frederick Banting Driveway, Ottawa, ON K1A 0K9 Canada
| | - Anca Baesu
- Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Environmental and Radiation Health Sciences Directorate, Healthy Environments and Consumer Safety Branch, Health Canada, AL: 2203 B, 251 Sir Frederick Banting Driveway, Ottawa, ON K1A 0K9 Canada
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15
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Badry A, Rüdel H, Göckener B, Nika MC, Alygizakis N, Gkotsis G, Thomaidis NS, Treu G, Dekker RWRJ, Movalli P, Walker LA, Potter ED, Cincinelli A, Martellini T, Duke G, Slobodnik J, Koschorreck J. Making use of apex predator sample collections: an integrated workflow for quality assured sample processing, analysis and digital sample freezing of archived samples. CHEMOSPHERE 2022; 309:136603. [PMID: 36174727 DOI: 10.1016/j.chemosphere.2022.136603] [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: 06/20/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Using monitoring data from apex predators for chemicals risk assessment can provide important information on bioaccumulating as well as biomagnifying chemicals in food webs. A survey among European institutions involved in chemical risk assessment on their experiences with apex predator data in chemical risk assessment revealed great interest in using such data. However, the respondents indicated that constraints were related to expected high costs, lack of standardisation and harmonised quality criteria for exposure assessment, data access, and regulatory acceptance/application. During the Life APEX project, we demonstrated that European sample collections (i.e. environmental specimen banks (ESBs), research collection (RCs), natural history museums (NHMs)) archive a large variety of biological samples that can be readily used for chemical analysis once appropriate quality assurance/control (QA/QC) measures have been developed and implemented. We therefore issued a second survey on sampling, processing and archiving procedures in European sample collections to derive key quality QA/QC criteria for chemical analysis. The survey revealed great differences in QA/QC measures between ESBs, NHMs and RCs. Whereas basic information such as sampling location, date and biometric data were mostly available across institutions, protocols to accompany the sampling strategy with respect to chemical analysis were only available for ESBs. For RCs, the applied QA/QC measures vary with the respective research question, whereas NHMs are generally less aware of e.g. chemical cross-contamination issues. Based on the survey we derived key indicators for assessing the quality of biota samples that can be easily implemented in online databases. Furthermore, we provide a QA/QC workflow not only for sampling and processing but also for the chemical analysis of biota samples. We focussed on comprehensive analytical techniques such as non-target screening and provided insights into subsequent storage of high-resolution chromatograms in online databases (i.e. digital sample freezing platform) to ultimately support chemicals risk assessment.
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Affiliation(s)
- Alexander Badry
- German Environment Agency (Umweltbundesamt), 06813, Dessau-Roßlau, Germany.
| | - Heinz Rüdel
- Fraunhofer Institute for Molecular Biology and Applied Ecology (Fraunhofer IME), 57392, Schmallenberg, Germany
| | - Bernd Göckener
- Fraunhofer Institute for Molecular Biology and Applied Ecology (Fraunhofer IME), 57392, Schmallenberg, Germany
| | - Maria-Christina Nika
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771, Athens, Greece
| | - Nikiforos Alygizakis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771, Athens, Greece; Environmental Institute, Okružná 784/42, 97241, Koš, Slovak Republic
| | - Georgios Gkotsis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771, Athens, Greece
| | - Nikolaos S Thomaidis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771, Athens, Greece
| | - Gabriele Treu
- German Environment Agency (Umweltbundesamt), 06813, Dessau-Roßlau, Germany
| | - Rene W R J Dekker
- Naturalis Biodiversity Center, Darwinweg 2, 2333, CR, Leiden, the Netherlands
| | - Paola Movalli
- Naturalis Biodiversity Center, Darwinweg 2, 2333, CR, Leiden, the Netherlands
| | - Lee A Walker
- UK Centre for Ecology & Hydrology, Lancaster Environment Centre, Lancaster, LA1 4PQ, United Kingdom
| | - Elaine D Potter
- UK Centre for Ecology & Hydrology, Lancaster Environment Centre, Lancaster, LA1 4PQ, United Kingdom
| | - Alessandra Cincinelli
- Department of Chemistry "Ugo Schiff", University of Florence, 50019, Sesto Fiorentino, Italy
| | - Tania Martellini
- Department of Chemistry "Ugo Schiff", University of Florence, 50019, Sesto Fiorentino, Italy
| | - Guy Duke
- UK Centre for Ecology & Hydrology, MacLean Bldg, Benson Ln, Crowmarsh Gifford, Wallingford, OX10 8BB, United Kingdom
| | | | - Jan Koschorreck
- German Environment Agency (Umweltbundesamt), 06813, Dessau-Roßlau, Germany
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16
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Ma P, Zhang Z, Jia X, Peng X, Zhang Z, Tarwa K, Wei CI, Liu F, Wang Q. Neural network in food analytics. Crit Rev Food Sci Nutr 2022; 64:4059-4077. [PMID: 36322538 DOI: 10.1080/10408398.2022.2139217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Neural network (i.e. deep learning, NN)-based data analysis techniques have been listed as a pivotal opportunity to protect the integrity and safety of the global food supply chain and forecast $11.2 billion in agriculture markets. As a general-purpose data analytic tool, NN has been applied in several areas of food science, such as food recognition, food supply chain security and omics analysis, and so on. Therefore, given the rapid emergence of NN applications in food safety, this review aims to provide a comprehensive overview of the NN application in food analysis for the first time, focusing on domain-specific applications in food analysis by introducing fundamental methodology, reviewing recent and notable progress, and discussing challenges and potential pitfalls. NN demonstrated that it has a bright future through effective collaboration between food specialist and the broader community in the food field, for example, superiority in food recognition, sensory evaluation, pattern recognition of spectroscopy and chromatography. However, major challenges impeded NN extension including void in the food scientist-friendly interface software package, incomprehensible model behavior, multi-source heterogeneous data, and so on. The breakthrough from other fields proved NN has the potential to offer a revolution in the immediate future.
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Affiliation(s)
- Peihua Ma
- Department of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA
| | - Zhikun Zhang
- CISPA Helmholtz Center for Information Security, Saarbrucken, Germany
| | - Xiaoxue Jia
- Department of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA
| | - Xiaoke Peng
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Zhi Zhang
- Department of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA
| | - Kevin Tarwa
- Department of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA
| | - Cheng-I Wei
- Department of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA
| | - Fuguo Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Qin Wang
- Department of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA
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17
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Escher BI, Lamoree M, Antignac JP, Scholze M, Herzler M, Hamers T, Jensen TK, Audebert M, Busquet F, Maier D, Oelgeschläger M, Valente MJ, Boye H, Schmeisser S, Dervilly G, Piumatti M, Motteau S, König M, Renko K, Margalef M, Cariou R, Ma Y, Treschow AF, Kortenkamp A, Vinggaard AM. Mixture Risk Assessment of Complex Real-Life Mixtures-The PANORAMIX Project. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192012990. [PMID: 36293571 PMCID: PMC9602166 DOI: 10.3390/ijerph192012990] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/15/2022] [Accepted: 09/20/2022] [Indexed: 05/06/2023]
Abstract
Humans are involuntarily exposed to hundreds of chemicals that either contaminate our environment and food or are added intentionally to our daily products. These complex mixtures of chemicals may pose a risk to human health. One of the goals of the European Union's Green Deal and zero-pollution ambition for a toxic-free environment is to tackle the existent gaps in chemical mixture risk assessment by providing scientific grounds that support the implementation of adequate regulatory measures within the EU. We suggest dealing with this challenge by: (1) characterising 'real-life' chemical mixtures and determining to what extent they are transferred from the environment to humans via food and water, and from the mother to the foetus; (2) establishing a high-throughput whole-mixture-based in vitro strategy for screening of real-life complex mixtures of organic chemicals extracted from humans using integrated chemical profiling (suspect screening) together with effect-directed analysis; (3) evaluating which human blood levels of chemical mixtures might be of concern for children's development; and (4) developing a web-based, ready-to-use interface that integrates hazard and exposure data to enable component-based mixture risk estimation. These concepts form the basis of the Green Deal project PANORAMIX, whose ultimate goal is to progress mixture risk assessment of chemicals.
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Affiliation(s)
- Beate I. Escher
- Department of Cell Toxicology, Helmholtz Centre for Environmental Research—UFZ, DE-04318 Leipzig, Germany
- Environmental Toxicology, Department of Geoscience, Eberhard Karls University Tübingen, DE-72076 Tübingen, Germany
| | - Marja Lamoree
- Department Environment & Health, Faculty of Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | | | - Martin Scholze
- Centre for Pollution Research and Policy, Environmental Sciences Division, Brunel University London, Kingston Lane, Uxbridge UB8 3PH, UK
| | - Matthias Herzler
- German Federal Institute for Risk Assessment (BfR), 10589 Berlin, Germany
| | - Timo Hamers
- Department Environment & Health, Faculty of Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Tina Kold Jensen
- Department of Environmental Medicine, University of Southern Denmark, DK-5000 Odense, Denmark
| | - Marc Audebert
- Toxalim, UMR1331, INRAE, 31027 Toulouse, France
- PrediTox, 31100 Toulouse, France
| | | | | | | | - Maria João Valente
- National Food Institute, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
| | - Henriette Boye
- Odense Child Cohort, Hans Christian Andersen Hospital for Children, Odense University Hospital, DK-5000 Odense, Denmark
| | | | | | | | | | - Maria König
- Department of Cell Toxicology, Helmholtz Centre for Environmental Research—UFZ, DE-04318 Leipzig, Germany
- Environmental Toxicology, Department of Geoscience, Eberhard Karls University Tübingen, DE-72076 Tübingen, Germany
| | - Kostja Renko
- German Federal Institute for Risk Assessment (BfR), 10589 Berlin, Germany
| | - Maria Margalef
- Department Environment & Health, Faculty of Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | | | - Yanying Ma
- National Food Institute, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
| | | | - Andreas Kortenkamp
- Centre for Pollution Research and Policy, Environmental Sciences Division, Brunel University London, Kingston Lane, Uxbridge UB8 3PH, UK
| | - Anne Marie Vinggaard
- National Food Institute, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
- Correspondence: ; Tel.: +45-35887549
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18
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Baesu A, Bayen S. Application of Nontarget Analysis and High-Resolution Mass Spectrometry for the Identification of Thermal Transformation Products of Oxytetracycline in Pacific White Shrimp. J Food Prot 2022; 85:1469-1478. [PMID: 35723565 DOI: 10.4315/jfp-22-128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/03/2022] [Indexed: 11/11/2022]
Abstract
ABSTRACT Oxytetracycline (OTC) is an antibiotic authorized for use in aquaculture; it is often detected in seafood products, especially shrimp. Previous studies investigating the fate of OTC in shrimp tissues after cooking were limited to quantification of parent compound residues and did not describe any potential transformation products formed. Hence, the main objective of this study was to apply a nontarget analysis workflow to study the fate of OTC in shrimp muscle. Furthermore, "water" and "spiked" models were evaluated for their suitability to track the transformation of OTC in incurred muscle and to determine whether the matrix plays a role in the transformation pathway. First, four different extraction methods were compared for the determination of OTC in muscle. Second, raw and cooked samples were then extracted using a suitable method (acidified water-methanol-acetonitrile, with cleanup of samples achieved using freezing) and were analyzed by high-performance liquid chromatography quadrupole time-of-flight mass spectrometry. OTC levels were reduced by 75 and 87% in muscle and water, respectively. Identification of thermal transformation products was limited to formula generation, but results showed that different compounds were identified in spiked and incurred muscle. HIGHLIGHTS
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Affiliation(s)
- Anca Baesu
- Department of Food Science and Agricultural Chemistry, McGill University, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, Quebec, Canada H9X 3V9
| | - Stéphane Bayen
- Department of Food Science and Agricultural Chemistry, McGill University, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, Quebec, Canada H9X 3V9
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19
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Zare Jeddi M, Hopf NB, Louro H, Viegas S, Galea KS, Pasanen-Kase R, Santonen T, Mustieles V, Fernandez MF, Verhagen H, Bopp SK, Antignac JP, David A, Mol H, Barouki R, Audouze K, Duca RC, Fantke P, Scheepers P, Ghosh M, Van Nieuwenhuyse A, Lobo Vicente J, Trier X, Rambaud L, Fillol C, Denys S, Conrad A, Kolossa-Gehring M, Paini A, Arnot J, Schulze F, Jones K, Sepai O, Ali I, Brennan L, Benfenati E, Cubadda F, Mantovani A, Bartonova A, Connolly A, Slobodnik J, Bruinen de Bruin Y, van Klaveren J, Palmen N, Dirven H, Husøy T, Thomsen C, Virgolino A, Röösli M, Gant T, von Goetz N, Bessems J. Developing human biomonitoring as a 21st century toolbox within the European exposure science strategy 2020-2030. ENVIRONMENT INTERNATIONAL 2022; 168:107476. [PMID: 36067553 DOI: 10.1016/j.envint.2022.107476] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 07/28/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
Human biomonitoring (HBM) is a crucial approach for exposure assessment, as emphasised in the European Commission's Chemicals Strategy for Sustainability (CSS). HBM can help to improve chemical policies in five major key areas: (1) assessing internal and aggregate exposure in different target populations; 2) assessing exposure to chemicals across life stages; (3) assessing combined exposure to multiple chemicals (mixtures); (4) bridging regulatory silos on aggregate exposure; and (5) enhancing the effectiveness of risk management measures. In this strategy paper we propose a vision and a strategy for the use of HBM in chemical regulations and public health policy in Europe and beyond. We outline six strategic objectives and a roadmap to further strengthen HBM approaches and increase their implementation in the regulatory risk assessment of chemicals to enhance our understanding of exposure and health impacts, enabling timely and targeted policy interventions and risk management. These strategic objectives are: 1) further development of sampling strategies and sample preparation; 2) further development of chemical-analytical HBM methods; 3) improving harmonisation throughout the HBM research life cycle; 4) further development of quality control / quality assurance throughout the HBM research life cycle; 5) obtain sustained funding and reinforcement by legislation; and 6) extend target-specific communication with scientists, policymakers, citizens and other stakeholders. HBM approaches are essential in risk assessment to address scientific, regulatory and societal challenges. HBM requires full and strong support from the scientific and regulatory domain to reach its full potential in public and occupational health assessment and in regulatory decision-making.
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Affiliation(s)
- Maryam Zare Jeddi
- National Institute for Public Health and the Environment (RIVM), the Netherlands.
| | - Nancy B Hopf
- Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Switzerland
| | - Henriqueta Louro
- National Institute of Health Dr. Ricardo Jorge, Department of Human Genetics, Lisbon and ToxOmics - Centre for Toxicogenomics and Human Health, NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Susana Viegas
- NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, 1600-560 Lisbon, Portugal; Comprehensive Health Research Center (CHRC), 1169-056 Lisbon, Portugal
| | - Karen S Galea
- Institute of Occupational Medicine (IOM), Research Avenue North, Riccarton, Edinburgh EH14 4AP, UK
| | - Robert Pasanen-Kase
- State Secretariat for Economic Affairs (SECO), Labour Directorate Section Chemicals and Work (ABCH), Switzerland
| | - Tiina Santonen
- Finnish Institute of Occupational Health (FIOH), P.O. Box 40, FI-00032 Työterveyslaitos, Finland
| | - Vicente Mustieles
- University of Granada, Center for Biomedical Research (CIBM), School of Medicine, Department of Radiology and Physical Medicine, Granada, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Madrid, Spain
| | - Mariana F Fernandez
- University of Granada, Center for Biomedical Research (CIBM), School of Medicine, Department of Radiology and Physical Medicine, Granada, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Madrid, Spain
| | - Hans Verhagen
- University of Ulster, Coleraine, Northern Ireland, National Food Institute, Technical University of Denmark, Kgs. Lyngby, Denmark
| | | | | | - Arthur David
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail), UMR_S 1085, F-35000 Rennes, France
| | - Hans Mol
- Wageningen Food Safety Research - part of Wageningen University & Research, Wageningen, the Netherlands
| | - Robert Barouki
- Université Paris Cité, T3S, Inserm Unit 1124, 45 rue des Saints Pères, 75006 Paris, France
| | - Karine Audouze
- Université Paris Cité, T3S, Inserm Unit 1124, 45 rue des Saints Pères, 75006 Paris, France
| | - Radu-Corneliu Duca
- Department of Health Protection, Laboratoire national de santé (LNS), 1, Rue Louis Rech, 3555 Dudelange, Luxembourg; Environment and Health, Department of Public Health and Primary Care, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Peter Fantke
- Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Paul Scheepers
- Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, the Netherlands
| | - Manosij Ghosh
- Environment and Health, Department of Public Health and Primary Care, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - An Van Nieuwenhuyse
- Department of Health Protection, Laboratoire national de santé (LNS), 1, Rue Louis Rech, 3555 Dudelange, Luxembourg; Environment and Health, Department of Public Health and Primary Care, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Joana Lobo Vicente
- EEA - European Environment Agency, Kongens Nytorv 6, 1050 Copenhagen K, Denmark
| | - Xenia Trier
- SPF - Santé Publique France, Environmental and Occupational Health Division, France
| | - Loïc Rambaud
- SPF - Santé Publique France, Environmental and Occupational Health Division, France
| | - Clémence Fillol
- SPF - Santé Publique France, Environmental and Occupational Health Division, France
| | - Sebastien Denys
- SPF - Santé Publique France, Environmental and Occupational Health Division, France
| | - André Conrad
- German Environment Agency (Umweltbundesamt), Dessau-Roßlau/Berlin, Germany
| | | | - Alicia Paini
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | - Jon Arnot
- ARC Arnot Research and Consulting, Inc., Toronto ONM4M 1W4, Canada
| | - Florian Schulze
- European Center for Environmental Medicine, Weserstr. 165, 12045 Berlin, Germany
| | - Kate Jones
- HSE - Health and Safety Executive, Harpur Hill, Buxton SK17 9JN, UK
| | | | | | - Lorraine Brennan
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Emilio Benfenati
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, Italy
| | - Francesco Cubadda
- Istituto Superiore di Sanità - National Institute of Health, Viale Regina Elena 299, 00161 Rome, Italy
| | - Alberto Mantovani
- Istituto Superiore di Sanità - National Institute of Health, Viale Regina Elena 299, 00161 Rome, Italy
| | - Alena Bartonova
- NILU Norwegian Institute for Air Research, 2027 Kjeller, Norway
| | - Alison Connolly
- Centre for Climate and Air Pollution Studies, Physics, School of Natural Science and the Ryan Institute, University of Galway, University Road, Galway H91 CF50, Ireland
| | - Jaroslav Slobodnik
- NORMAN Association, Rue Jacques Taffanel - Parc Technologique ALATA, 60550 Verneuil-en-Halatte, France
| | - Yuri Bruinen de Bruin
- Commission, Joint Research Centre, Directorate for Space, Security and Migration, Geel, Belgium
| | - Jacob van Klaveren
- National Institute for Public Health and the Environment (RIVM), the Netherlands
| | - Nicole Palmen
- National Institute for Public Health and the Environment (RIVM), the Netherlands
| | - Hubert Dirven
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Trine Husøy
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Cathrine Thomsen
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ana Virgolino
- Environmental Health Behaviour Lab, Instituto de Saúde Ambiental, Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal; Laboratório Associado TERRA, Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
| | - Martin Röösli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), CH-4123 Allschwil, Switzerland
| | - Tim Gant
- Center for Radiation, Chemical and Environmental Hazards, Public Health England, UK
| | | | - Jos Bessems
- VITO HEALTH, Flemish Institute for Technological Research, 2400 Mol, Belgium
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20
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Musatadi M, Caballero C, Mijangos L, Prieto A, Olivares M, Zuloaga O. From target analysis to suspect and non-target screening of endocrine-disrupting compounds in human urine. Anal Bioanal Chem 2022; 414:6855-6869. [PMID: 35904524 PMCID: PMC9436830 DOI: 10.1007/s00216-022-04250-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/14/2022] [Accepted: 07/22/2022] [Indexed: 11/04/2022]
Abstract
In the present work, a target analysis method for simultaneously determining 24 diverse endocrine-disrupting compounds (EDCs) in urine (benzophenones, bisphenols, parabens, phthalates and antibacterials) was developed. The target analysis approach (including enzymatic hydrolysis, clean-up by solid-phase extraction and analysis by liquid chromatography coupled to tandem mass spectrometry (LC–MS/MS)) was optimized, validated and applied to volunteers’ samples, in which 67% of the target EDCs were quantified. For instance, benzophenone-3 (0.2–13 ng g−1), bisphenol A (7.7–13.7 ng g−1), methyl 3,5-dihydroxybenzoate (8–254 ng g−1), mono butyl phthalate (2–17 ng g−1) and triclosan (0.3–9 ng g−1) were found at the highest concentrations, but the presence of other analogues was detected as well. The developed target method was further extended to suspect and non-target screening (SNTS) by means of LC coupled to high-resolution MS/MS. First, well-defined workflows for SNTS were validated by applying the previously developed method to an extended list of compounds (83), and then, to the same real urine samples. From a list of approximately 4000 suspects, 33 were annotated at levels from 1 to 3, with food additives/ingredients and personal care products being the most abundant ones. In the non-target approach, the search was limited to molecules containing S, Cl and/or Br atoms, annotating 4 pharmaceuticals. The results from this study showed that the combination of the lower limits of detection of MS/MS and the identification power of high-resolution MS/MS is still compulsory for a more accurate definition of human exposome in urine samples.
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Affiliation(s)
- Mikel Musatadi
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), Leioa, Basque Country, 48940, Spain. .,Research Centre for Experimental Marine Biology and Biotechnology (PiE), University of the Basque Country (UPV/EHU), Basque Country, Plentzia, 48620, Spain.
| | - Claudia Caballero
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), Leioa, Basque Country, 48940, Spain
| | - Leire Mijangos
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), Leioa, Basque Country, 48940, Spain.,Research Centre for Experimental Marine Biology and Biotechnology (PiE), University of the Basque Country (UPV/EHU), Basque Country, Plentzia, 48620, Spain
| | - Ailette Prieto
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), Leioa, Basque Country, 48940, Spain.,Research Centre for Experimental Marine Biology and Biotechnology (PiE), University of the Basque Country (UPV/EHU), Basque Country, Plentzia, 48620, Spain
| | - Maitane Olivares
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), Leioa, Basque Country, 48940, Spain.,Research Centre for Experimental Marine Biology and Biotechnology (PiE), University of the Basque Country (UPV/EHU), Basque Country, Plentzia, 48620, Spain
| | - Olatz Zuloaga
- Department of Analytical Chemistry, University of the Basque Country (UPV/EHU), Leioa, Basque Country, 48940, Spain.,Research Centre for Experimental Marine Biology and Biotechnology (PiE), University of the Basque Country (UPV/EHU), Basque Country, Plentzia, 48620, Spain
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21
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Milman BL, Zhurkovich IK. Present-Day Practice of Non-Target Chemical Analysis. JOURNAL OF ANALYTICAL CHEMISTRY 2022. [DOI: 10.1134/s1061934822050070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Abstract
We review the main techniques, procedures, and information products used in non-target analysis (NTA) to reveal the composition of substances. Sampling and sample preparation methods are preferable that ensure the extraction of analytes from test samples in a wide range of analyte properties with the most negligible loss. The necessary techniques of analysis are versions of chromatography–high-resolution tandem mass spectrometry (HRMS), yielding individual characteristics of analytes (mass spectra, retention properties) to accurately identify them. The prioritization of the analytical strategy discards unnecessary measurements and thereby increases the performance of the NTA. Chemical databases, collections of reference mass spectra and retention characteristics, algorithms, and software for processing HRMS data are indispensable in NTA.
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22
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Vitale CM, Lommen A, Huber C, Wagner K, Garlito Molina B, Nijssen R, Price EJ, Blokland M, van Tricht F, Mol HGJ, Krauss M, Debrauwer L, Pardo O, Leon N, Klanova J, Antignac JP. Harmonized Quality Assurance/Quality Control Provisions for Nontargeted Measurement of Urinary Pesticide Biomarkers in the HBM4EU Multisite SPECIMEn Study. Anal Chem 2022; 94:7833-7843. [PMID: 35616234 DOI: 10.1021/acs.analchem.2c00061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
A set of quality assurance/quality control (QA/QC) criteria for nontargeted measurement of pesticide exposure markers in a large-scale study of human urine has been proposed and applied across five laboratories within the HBM4EU project. Quality control material, including reference standards and fortified pooled urine samples (QC urine) were prepared in a centralized way and distributed across participants to monitor analytical performance and consistency of the liquid chromatography coupled to high-resolution mass spectrometry data generated with a harmonized workflow. Signal intensities, mass accuracy, and retention times of selected QA/QC markers covering a broad range of physicochemical properties were monitored across QC solvent standards, QC urine samples, study urine samples, and procedural blanks, setting acceptance thresholds for repeatability and accuracy. Overall, results showed high repeatability of the collected data. The RSDs of the signal intensities were typically below 20-30% in QC and study samples, with good stability of the chromatographic separation (retention time drift within 2-4 s intrabatch and 5 s interbatch) and excellent mass accuracy (average error < 2 ppm). The use of the proposed criteria allowed for the identification of handling errors, instrumental issues, and potential batch effects. This is the first elaboration of harmonized QA/QC criteria applied across multiple laboratories to assess the quality of data generated by nontargeted analysis of human samples.
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Affiliation(s)
| | - Arjen Lommen
- Wageningen Food Safety Research, Wageningen University & Research, Wageningen 6708 WB, The Netherlands
| | - Carolin Huber
- Department of Effect-Directed Analysis, Helmholtz Centre for Environmental Research-UFZ, Leipzig 04318, Germany.,Institute of Ecology, Diversity and Evolution, Goethe University Frankfurt Biologicum, Campus Riedberg, Frankfurt am Main 60438, Germany
| | | | - Borja Garlito Molina
- FISABIO (Foundation for the Promotion of Health and Biomedical Research of the Valencia Region), Valencia 46020, Spain
| | - Rosalie Nijssen
- Wageningen Food Safety Research, Wageningen University & Research, Wageningen 6708 WB, The Netherlands
| | | | - Marco Blokland
- Wageningen Food Safety Research, Wageningen University & Research, Wageningen 6708 WB, The Netherlands
| | - Frederike van Tricht
- Wageningen Food Safety Research, Wageningen University & Research, Wageningen 6708 WB, The Netherlands
| | - Hans G J Mol
- Wageningen Food Safety Research, Wageningen University & Research, Wageningen 6708 WB, The Netherlands
| | - Martin Krauss
- Department of Effect-Directed Analysis, Helmholtz Centre for Environmental Research-UFZ, Leipzig 04318, Germany
| | | | - Olga Pardo
- FISABIO (Foundation for the Promotion of Health and Biomedical Research of the Valencia Region), Valencia 46020, Spain
| | - Nuria Leon
- FISABIO (Foundation for the Promotion of Health and Biomedical Research of the Valencia Region), Valencia 46020, Spain
| | - Jana Klanova
- RECETOX, Faculty of Science, Masaryk University, Brno 60200, Czech Republic
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23
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Albiach-Delgado A, Esteve-Turrillas FA, Fernández SF, Garlito B, Pardo O. Review of the state of the art of acrylamide human biomonitoring. CHEMOSPHERE 2022; 295:133880. [PMID: 35150700 DOI: 10.1016/j.chemosphere.2022.133880] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 01/23/2022] [Accepted: 02/03/2022] [Indexed: 06/14/2023]
Abstract
Human biomonitoring (HBM) is a very useful tool for assessing human exposure to acrylamide (AA). In the framework of the Human Biomonitoring Initiative (HBM4EU) AA was included in its second list of priority substances due to the potential threat to human health. HBM data on AA are scarce, but the use of specific and sensitive biomarkers represents a reliable indicator of exposure. In this review an overview of available knowledge on HBM of AA is provided in terms of: i) preferred exposure biomarkers and matrices for the HBM of AA; ii) analytical methods for determining its biomarkers of exposure in the most used specimens; iii) current HBM data available; and iv) tools for interpreting HBM data for AA in relation to risk assessment. Finally, future trends in this field are discussed.
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Affiliation(s)
- Abel Albiach-Delgado
- Department of Analytical Chemistry, University of Valencia, Doctor Moliner 50, 46100, Burjassot, Spain
| | | | - Sandra F Fernández
- Department of Analytical Chemistry, University of Valencia, Doctor Moliner 50, 46100, Burjassot, Spain; Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, Av. Catalunya, 21, 46020, Valencia, Spain
| | - Borja Garlito
- Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, Av. Catalunya, 21, 46020, Valencia, Spain
| | - Olga Pardo
- Department of Analytical Chemistry, University of Valencia, Doctor Moliner 50, 46100, Burjassot, Spain; Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, Av. Catalunya, 21, 46020, Valencia, Spain.
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24
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Simonnet-Laprade C, Bayen S, McGoldrick D, McDaniel T, Hutinet S, Marchand P, Vénisseau A, Cariou R, Le Bizec B, Dervilly G. Evidence of complementarity between targeted and non-targeted analysis based on liquid and gas-phase chromatography coupled to mass spectrometry for screening halogenated persistent organic pollutants in environmental matrices. CHEMOSPHERE 2022; 293:133615. [PMID: 35038446 DOI: 10.1016/j.chemosphere.2022.133615] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 01/10/2022] [Accepted: 01/11/2022] [Indexed: 05/12/2023]
Abstract
This study explored the complementarity between targeted (TS) and non-targeted screening (NTS) based on liquid and gas-phase chromatography coupled to (high-resolution) mass spectrometry (LC-/GC-(HR)MS) for the comprehensive characterization of organohalogen fingerprints within a set of Lake Ontario lake trout samples. The concentrations of 86 legacy, emerging and novel halogenated compounds (HCs), were determined through 4 TS approaches involving no less than 6 hyphenated systems. In parallel, an innovative NTS strategy, involving both LC and GC-Q-Orbitrap, was implemented to specifically highlight halogenated signals. Non-targeted HRMS data were processed under the HaloSeeker software based on Cl and Br isotopic ratio and mass defect to extend the screening to unsuspected and unknown HCs. A total of 195 halogenated mass spectral features were characterized in the Lake Ontario lake trout, including well known HCs (PCBs, PBDEs, PBBs, DDT and their degradation products), emerging HCs (novel brominated flame retardants, short-, medium- and long-chain chlorinated paraffins) or suggested molecular formula (mainly polychlorinated ones). Among the 122 HCs highlighted by TS, only 21 were identified by NTS. These results fueled a discussion on the potential and limitations of both approaches, and the current position of NTS within environmental and health monitoring programs.
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Affiliation(s)
| | - S Bayen
- Department of Food Science and Agricultural Chemistry, McGill University, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada
| | - D McGoldrick
- Water Science and Technology Directorate, Environment and Climate Change Canada, Burlington, Ontario, Canada
| | - T McDaniel
- Water Science and Technology Directorate, Environment and Climate Change Canada, Burlington, Ontario, Canada
| | - S Hutinet
- Oniris, INRAE, LABERCA, 44307, Nantes, France
| | - P Marchand
- Oniris, INRAE, LABERCA, 44307, Nantes, France
| | - A Vénisseau
- Oniris, INRAE, LABERCA, 44307, Nantes, France
| | - R Cariou
- Oniris, INRAE, LABERCA, 44307, Nantes, France
| | - B Le Bizec
- Oniris, INRAE, LABERCA, 44307, Nantes, France
| | - G Dervilly
- Oniris, INRAE, LABERCA, 44307, Nantes, France.
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25
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Petrick LM, Wolff MS, Barupal D, Teitelbaum SL. Comparison of untargeted and targeted perfluoroalkyl acids measured in adolescent girls. CHEMOSPHERE 2022; 290:133303. [PMID: 34921852 PMCID: PMC8770605 DOI: 10.1016/j.chemosphere.2021.133303] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 12/02/2021] [Accepted: 12/12/2021] [Indexed: 06/14/2023]
Abstract
Quantitative biomonitoring (e.g., targeted analysis) has served as the gold standard for environmental exposure biomonitoring for several decades. Recent advancements to broaden exposomic research brought new semi-quantitative untargeted assays that capture a wide range of endogenous metabolites and exogenous exposures in a single assay for discovery, though usually at the expense of absolute quantitation. The high-resolution mass spectrometers (HRMS) typically used in untargeted workflows are sensitive and robust, but there do not yet exist comprehensive comparisons between environmental chemicals at population exposure levels measured using targeted and untargeted assays. Using liquid chromatography (LC)-HRMS, we measured per- and polyfluoroalkyl substances (PFAS) including perfluorohexane sulfonate (PFHxS), n-perfluorooctanoic acid (PFOA), n-perfluorooctanesulfonic acid (PFOS), and perfluorononanoic acid (PFNA) in plasma of 180 girls from New York City, and compared them to previously obtained targeted measures using correlation and rank order methods. We showed high agreement between the methods with Spearman Rhos ranging from 0.69 to 0.92 and weighted Kappa's from 0.62 to 0.82 for tertiles among the PFAS. This finding demonstrates that semi-quantitative data from untargeted assays designed for exposomics can be reliably used to estimate environmental exposures occurring in the general population, providing an economic alternative to targeted assays. We also describe an approach that can be used to compare relative quantitation measurements from an untargeted assay to traditional targeted measures to establish fit-for-purpose usability and validation. These results suggest that environmental exposure measures from untargeted assays can serve as reliable inputs into statistical analysis for discovery and for determining their resultant biological impacts. Future efforts to develop new statistical approaches for standardization and merging with targeted measures-toward harmonization-will further enhance the utility of untargeted assays in environmental epidemiology.
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Affiliation(s)
- Lauren M Petrick
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Mary S Wolff
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Dinesh Barupal
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Susan L Teitelbaum
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
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26
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Chaker J, Kristensen DM, Halldorsson TI, Olsen SF, Monfort C, Chevrier C, Jégou B, David A. Comprehensive Evaluation of Blood Plasma and Serum Sample Preparations for HRMS-Based Chemical Exposomics: Overlaps and Specificities. Anal Chem 2022; 94:866-874. [DOI: 10.1021/acs.analchem.1c03638] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Jade Chaker
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - David Møbjerg Kristensen
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
- Department of Neurology, Danish Headache Center, Rigshospitalet, University of Copenhagen, Copenhagen 1165, Denmark
| | - Thorhallur Ingi Halldorsson
- Center for Fetal Programming, Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
- The Unit for Nutrition Research, Faculty of Food Science and Nutrition, School of Health Sciences, University of Iceland, Reykjavik 101, Iceland
| | - Sjurdur Frodi Olsen
- Center for Fetal Programming, Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Christine Monfort
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Cécile Chevrier
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Bernard Jégou
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Arthur David
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
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Brack W, Barcelo Culleres D, Boxall ABA, Budzinski H, Castiglioni S, Covaci A, Dulio V, Escher BI, Fantke P, Kandie F, Fatta-Kassinos D, Hernández FJ, Hilscherová K, Hollender J, Hollert H, Jahnke A, Kasprzyk-Hordern B, Khan SJ, Kortenkamp A, Kümmerer K, Lalonde B, Lamoree MH, Levi Y, Lara Martín PA, Montagner CC, Mougin C, Msagati T, Oehlmann J, Posthuma L, Reid M, Reinhard M, Richardson SD, Rostkowski P, Schymanski E, Schneider F, Slobodnik J, Shibata Y, Snyder SA, Fabriz Sodré F, Teodorovic I, Thomas KV, Umbuzeiro GA, Viet PH, Yew-Hoong KG, Zhang X, Zuccato E. One planet: one health. A call to support the initiative on a global science-policy body on chemicals and waste. ENVIRONMENTAL SCIENCES EUROPE 2022; 34:21. [PMID: 35281760 PMCID: PMC8902847 DOI: 10.1186/s12302-022-00602-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 02/25/2022] [Indexed: 05/08/2023]
Abstract
The chemical pollution crisis severely threatens human and environmental health globally. To tackle this challenge the establishment of an overarching international science-policy body has recently been suggested. We strongly support this initiative based on the awareness that humanity has already likely left the safe operating space within planetary boundaries for novel entities including chemical pollution. Immediate action is essential and needs to be informed by sound scientific knowledge and data compiled and critically evaluated by an overarching science-policy interface body. Major challenges for such a body are (i) to foster global knowledge production on exposure, impacts and governance going beyond data-rich regions (e.g., Europe and North America), (ii) to cover the entirety of hazardous chemicals, mixtures and wastes, (iii) to follow a one-health perspective considering the risks posed by chemicals and waste on ecosystem and human health, and (iv) to strive for solution-oriented assessments based on systems thinking. Based on multiple evidence on urgent action on a global scale, we call scientists and practitioners to mobilize their scientific networks and to intensify science-policy interaction with national governments to support the negotiations on the establishment of an intergovernmental body based on scientific knowledge explaining the anticipated benefit for human and environmental health.
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Affiliation(s)
- Werner Brack
- UFZ Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318 Leipzig, Germany
- Faculty Biological Sciences, Goethe University Frankfurt, Max-von-der-Laue-Straße 13, 60438 Frankfurt, Germany
| | - Damia Barcelo Culleres
- Catalan Institute of Water Research, Carrer Emili Grahit 101, 17003 Girona, Spain
- Spanish National Research Council, Institute for Environmental Assessment & Water Research, Water & Soil Quality Research Group, Jordi Girona 18-26, 08034 Barcelona, Spain
| | | | - Hélène Budzinski
- Université de Bordeaux, 351 crs de la Libération, 33405 Talence, France
| | - Sara Castiglioni
- Department of Environmental Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milan, Italy
| | - Adrian Covaci
- Toxicological Center, University of Antwerp, Universiteitsplen 1, 2610 Wilrijk, Belgium
| | - Valeria Dulio
- INERIS - Direction Milieu et Impacts sur le Vivant (MIV), Parc technologique ALATA, 60550 Verneuil-en-Halatte, France
| | - Beate I. Escher
- UFZ Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318 Leipzig, Germany
- Center for Applied Geoscience, Eberhard Karls University of Tübingen, 72076 Tübingen, Germany
| | - Peter Fantke
- Quantitative Sustainability Assessment, Department of Technology, Management and Economics, Technical University of Denmark, Produktionstorvet 424, 2800 Kgs. Lyngby, Denmark
| | - Faith Kandie
- Department of Biological Sciences, Moi University, 3900-30100 Eldoret, Kenya
| | - Despo Fatta-Kassinos
- Department of Civil and Environmental Engineering and Nireas-International Water Research Center, University of Cyprus, P.O. Box 20537, 1678 Nicosia, Cyprus
| | - Félix J. Hernández
- Research Institute for Pesticides and Water, University Jaume I, 12006 Castellon, Spain
| | - Klara Hilscherová
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
| | - 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
| | - Henner Hollert
- Faculty Biological Sciences, Goethe University Frankfurt, Max-von-der-Laue-Straße 13, 60438 Frankfurt, Germany
| | - Annika Jahnke
- UFZ Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318 Leipzig, Germany
- RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany
| | | | - Stuart J. Khan
- School of Civil & Environmental Engineering, University of New South Wales, Sydney, NSW 2052 Australia
| | - Andreas Kortenkamp
- Centre for Pollution Research and Policy, Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge, UB8 3PH UK
| | - Klaus Kümmerer
- Institute for Sustainable Chemistry, Leuphana University Lüneburg, Universitätsallee 1, 21335 Lüneburg, Germany
| | - Brice Lalonde
- The French Water Academy, 51 rue Salvador-Allende, 92027 Nanterre, France
| | - Marja H. Lamoree
- Department Environment & Health, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
| | - Yves Levi
- The French Water Academy, 51 rue Salvador-Allende, 92027 Nanterre, France
| | - Pablo Antonio Lara Martín
- Departamento de Química Física, Facultad de Ciencias del Mar y Ambientales, Universidad de Cádiz – European Universities of the Seas, Campus Río San Pedro, 11510 Puerto Real, Cádiz Spain
| | | | - Christian Mougin
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, 78026 Versailles, France
| | - Titus Msagati
- Institute for Nanotechnology and Water Sustainability (iNanoWS), College of Science, Engineering and Technology (CSET), University of South Africa, Pretoria, South Africa
| | - Jörg Oehlmann
- Faculty Biological Sciences, Goethe University Frankfurt, Max-von-der-Laue-Straße 13, 60438 Frankfurt, Germany
| | - Leo Posthuma
- RIVM-National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
- Department of Environmental Science, Radbound University Nijmegen, Nijmegen, The Netherlands
| | - Malcolm Reid
- Norwegian Institute for Water Research, Environmental Chemistry and Technology, Oslo, Norway
| | | | - Susan D. Richardson
- Department of Chemistry & Biochemistry, University of South Carolina, Columbia, SC 29208 USA
| | - Pawel Rostkowski
- NILU-Norwegian Institute for Air Research, P.O. Box 100, 2027 Kjeller, Norway
| | - Emma Schymanski
- University of Luxembourg, 6 avenue du Swing, 4367 Belvaux, Luxembourg
| | - Flurina Schneider
- Faculty Biological Sciences, Goethe University Frankfurt, Max-von-der-Laue-Straße 13, 60438 Frankfurt, Germany
- Institute for Social-Ecological Research (ISOE), Hamburger Alee 45, 60486 Frankfurt, Germany
| | | | - Yasuyuki Shibata
- Environmental Safety Center, Tokyo University of Science, 12-1 Ichigaya-Funagawara, Shinjuku, Tokyo 162-0826 Japan
| | - Shane Allen Snyder
- Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore, Singapore
| | | | | | - Kevin V. Thomas
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102 Australia
| | | | - Pham Hung Viet
- VNU Key Laboratory of Analytical Technology for Environmental Quality, Vietnam National University, 334 Nguyen Trai, Hanoi, Vietnam
| | - Karina Gin Yew-Hoong
- Department of Civil and Environmental Engineering, National University of Singapore, 1 Engineering Drive 2, Singapore, Singapore
| | - Xiaowei Zhang
- Centre of Chemical Safety and Risks, School of the Environment, Nanjing University, Nanjing, China
| | - Ettore Zuccato
- Department of Environmental Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milan, Italy
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Hajeb P, Zhu L, Bossi R, Vorkamp K. Sample preparation techniques for suspect and non-target screening of emerging contaminants. CHEMOSPHERE 2022; 287:132306. [PMID: 34826946 DOI: 10.1016/j.chemosphere.2021.132306] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 09/15/2021] [Accepted: 09/18/2021] [Indexed: 06/13/2023]
Abstract
The progress in sensitivity and resolution in mass spectrometers in recent years provides the possibility to detect a broad range of organic compounds in a single procedure. For this reason, suspect and non-target screening techniques are gaining attention since they enable the detection of hundreds of known and unknown emerging contaminants in various matrices of environmental, food and human sources. Sample preparation is a critical step before analysis as it can significantly affect selectivity, sensitivity and reproducibility. The lack of generic sample preparation protocols is obvious in this fast-growing analytical field, and most studies use those of traditional targeted analysis methods. Among them, solvent extraction and solid phase extraction (SPE) are widely used to extract emerging contaminants from solid and liquid sample types, respectively. Sequential solvent extraction and a combination of different SPE sorbents can cover a broad range of chemicals in the samples. Gel permeation chromatography (GPC) and adsorption chromatography, including acidification, are typically used to remove matrix components such as lipids from complex matrices, but usually at the expense of compound losses. Ideally, the purification of samples intended for non-target analysis should be selective of matrix interferences. Recent studies have suggested quality assurance/quality control measures for suspect and non-target screening, based on expansion and extrapolation of target compound lists, but method validations remain challenging in the absence of analytical standards and harmonized sample preparation approaches.
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Affiliation(s)
- Parvaneh Hajeb
- Aarhus University, Department of Environmental Science, Roskilde, Denmark
| | - Linyan Zhu
- Aarhus University, Department of Environmental Science, Roskilde, Denmark
| | - Rossana Bossi
- Aarhus University, Department of Environmental Science, Roskilde, Denmark
| | - Katrin Vorkamp
- Aarhus University, Department of Environmental Science, Roskilde, Denmark.
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Jansen LJM, Nijssen R, Bolck YJC, Wegh RS, van de Schans MGM, Berendsen BJA. Systematic assessment of acquisition and data-processing parameters in the suspect screening of veterinary drugs in archive matrices using LC-HRMS. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2021; 39:272-284. [PMID: 34854800 DOI: 10.1080/19440049.2021.1999507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Monitoring strategies for veterinary drugs in products of animal origin are shifting towards a more risk-based approach. Such strategies not only target a limited number of predefined .substances but also facilitate detection of unexpected substances. By combining the use of archive matrices such as feather meal with suspect-screening methods, early detection of new hazards in the food and feed industry can be achieved. Effective application of such strategies is hampered by complex data interpretation and therefore, targeted data analysis is commonly applied. In this study, the performance of a suspect-screening data processing workflow using a suspect list or the online spectral database mzCloudTM was explored to facilitate detection of veterinary drugs in archive matrices. Data evaluation parameters specifically investigated for application of a suspect list were mass tolerance and the addition or omission of retention times. Application of a mass tolerance of 1.5 ppm leads to an increase in the number of false positives, as does omission of retention times in the suspect list. Different acquisition modes yielding different qualities of MS2 data were studied and proved to be a critical factor, where data-dependent acquisition is preferred when matching to the mzCloudTM database. Using this approach, it is possible to search for compounds on a dedicated suspect list based on the exact mass and retention times and, at the same time, detect unexpected compounds without a priori information. A pilot study was conducted and fourteen different antibiotics were detected (and confirmed by MS/MS). Three of these antibiotics were not included in the suspect list. The optimised suspect-screening method proved to be fit for the purpose of finding veterinary drugs in feather meal, which are not in the scope of the current monitoring methods and therefore, it gives added value in the perspective of a risk-based monitoring.
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Affiliation(s)
- Larissa J M Jansen
- Authenticity & Veterinary Drugs, Wageningen Food Safety Research, Wageningen, The Netherlands
| | - Rosalie Nijssen
- Contaminants & Toxicology, Wageningen Food Safety Research, Wageningen, The Netherlands
| | - Yvette J C Bolck
- Authenticity & Veterinary Drugs, Wageningen Food Safety Research, Wageningen, The Netherlands
| | - Robin S Wegh
- Authenticity & Veterinary Drugs, Wageningen Food Safety Research, Wageningen, The Netherlands
| | - Milou G M van de Schans
- Authenticity & Veterinary Drugs, Wageningen Food Safety Research, Wageningen, The Netherlands
| | - Bjorn J A Berendsen
- Authenticity & Veterinary Drugs, Wageningen Food Safety Research, Wageningen, The Netherlands
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David A, Chaker J, Price EJ, Bessonneau V, Chetwynd AJ, Vitale CM, Klánová J, Walker DI, Antignac JP, Barouki R, Miller GW. Towards a comprehensive characterisation of the human internal chemical exposome: Challenges and perspectives. ENVIRONMENT INTERNATIONAL 2021; 156:106630. [PMID: 34004450 DOI: 10.1016/j.envint.2021.106630] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 04/15/2021] [Accepted: 05/03/2021] [Indexed: 05/18/2023]
Abstract
The holistic characterisation of the human internal chemical exposome using high-resolution mass spectrometry (HRMS) would be a step forward to investigate the environmental ætiology of chronic diseases with an unprecedented precision. HRMS-based methods are currently operational to reproducibly profile thousands of endogenous metabolites as well as externally-derived chemicals and their biotransformation products in a large number of biological samples from human cohorts. These approaches provide a solid ground for the discovery of unrecognised biomarkers of exposure and metabolic effects associated with many chronic diseases. Nevertheless, some limitations remain and have to be overcome so that chemical exposomics can provide unbiased detection of chemical exposures affecting disease susceptibility in epidemiological studies. Some of these limitations include (i) the lack of versatility of analytical techniques to capture the wide diversity of chemicals; (ii) the lack of analytical sensitivity that prevents the detection of exogenous (and endogenous) chemicals occurring at (ultra) trace levels from restricted sample amounts, and (iii) the lack of automation of the annotation/identification process. In this article, we discuss a number of technological and methodological limitations hindering applications of HRMS-based methods and propose initial steps to push towards a more comprehensive characterisation of the internal chemical exposome. We also discuss other challenges including the need for harmonisation and the difficulty inherent in assessing the dynamic nature of the internal chemical exposome, as well as the need for establishing a strong international collaboration, high level networking, and sustainable research infrastructure. A great amount of research, technological development and innovative bio-informatics tools are still needed to profile and characterise the "invisible" (not profiled), "hidden" (not detected) and "dark" (not annotated) components of the internal chemical exposome and concerted efforts across numerous research fields are paramount.
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Affiliation(s)
- Arthur David
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France.
| | - Jade Chaker
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Elliott J Price
- Faculty of Sports Studies, Masaryk University, Brno, Czech Republic; RECETOX Centre, Masaryk University, Brno, Czech Republic
| | - Vincent Bessonneau
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Andrew J Chetwynd
- School of Geography Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | | | - Jana Klánová
- RECETOX Centre, Masaryk University, Brno, Czech Republic
| | - Douglas I Walker
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Robert Barouki
- Unité UMR-S 1124 Inserm-Université Paris Descartes "Toxicologie Pharmacologie et Signalisation Cellulaire", Paris, France
| | - Gary W Miller
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
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Caballero-Casero N, Castro G, Bastiaensen M, Gys C, van Larebeke N, Schoeters G, Covaci A. Identification of chemicals of emerging concern in urine of Flemish adolescents using a new suspect screening workflow for LC-QTOF-MS. CHEMOSPHERE 2021; 280:130683. [PMID: 33951581 DOI: 10.1016/j.chemosphere.2021.130683] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/20/2021] [Accepted: 04/22/2021] [Indexed: 06/12/2023]
Abstract
An essential step in human biomonitoring or molecular epidemiology programs is to estimate human exposure to environmental chemicals. Despite significant progress in the capabilities of analytical methods, the number of pollutants and their metabolites keeps increasing continuously. Some of these relatively unknown chemicals of emerging concern (CECs) may pose significant health risks to humans and biota, but remain virtually undetected in traditional HBM-studies. Non-target and suspect screening techniques based on high-resolution mass spectrometry (HRMS) perform the detection and identification of compounds without any a priori compound selection or chemical information and provide a more holistic overview of human exposure. In this study, 50 urine samples (25 female and 25 male) from a larger cohort of the Flemish Environment and Health Study (FLEHS IV, 2016-2020) have been submitted to suspect screening analysis, with the aim of detecting and identifying new CECs. For this purpose, an analytical method has been developed, optimised and evaluated in terms of analytical performance. Satisfactory results were obtained in terms of reproducibility, sensitivity and quality control. Data-mining was performed through the combination of two different workflows. The use of two complementary workflows enhanced the number of identified compounds. As a result, 45 CECs have been identified with a level of confidence ranged between 3 and 1. Most of the identified compounds were metabolisation products, many of which were currently not included in the targeted measurements of FLEHS IV. The identified chemicals and metabolites could be used as candidate biomarkers of exposure in future studies. Overall, the newly developed suspect screening workflow of this pilot study provided complementary and promising results for future HBM-programs.
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Affiliation(s)
| | - Gabriela Castro
- Department of Analytical Chemistry, Nutrition and Food Sciences. Institute of Research on Chemical and Biological Analysis (IAQBUS). Universidad de Santiago de Compostela, 15782, Santiago de Compostela, Spain
| | - Michiel Bastiaensen
- Toxicological Center, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Celine Gys
- Toxicological Center, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Nik van Larebeke
- Department of Radiotherapy and Experimental Cancerology, De Pintelaan 185, 9000 Ghent, Belgium and Vrije Universiteit Brussel (VUB), Department of Analytical, Environmental and Geochemistry (AMGC), Pleinlaan 2, 1050, Brussels, Belgium
| | - Greet Schoeters
- VITO Health, Flemish Institute for Technological Research (VITO), Boeretang 200, 2400, Mol, Belgium; Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Adrian Covaci
- Toxicological Center, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.
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