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Disdier Z, Dagnelie RVH. "P AW" a smart analytical process assessing lipophilicity of solutes in mixtures. Anal Chim Acta 2024; 1316:342871. [PMID: 38969431 DOI: 10.1016/j.aca.2024.342871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 05/20/2024] [Accepted: 06/11/2024] [Indexed: 07/07/2024]
Abstract
BACKGROUND The analysis of mixtures of contaminants remains a challenging task in many fields, including water quality and waste management. For example, the degradation of industrial waste such as plastics, leads to complex mixtures with hundreds of organic contaminants and often non-referenced analytes. In such cases, non-targeted or effects-based analyses provide complementary information to classical targeted-analyses, regarding contaminants nature or properties (molecular mass, lability, toxicity). In this study, a novel analytical method is proposed to characterise mixtures of unknown organic contaminants, with a focus on the lipophilicity of solutes. RESULTS The proposed process, named "PAW" (Partition of Aqueous Waste), aims at the quantification of octanol-water partition coefficients (POW) of mixed organic analytes. The process is based on sequential liquid-liquid partition equilibria. The output result is a lipophilicity histogram of the solutes, screened according to the chosen detection method. The process quantifies the distribution of analytes as a function of their octanol-water partition coefficients, without requiring any identification or prior knowledge. The PAW process is applicable with various detectors (UV-Visible, total carbon, liquid scintillation, etc.) allowing to focus on specific families of contaminants (e.g. organic solutes, colloids, 14C-bearing, etc.). Experimental proofs of concept are proposed, illustrating process implementation and possible fields of application. The first example deals with purity analysis of synthetic radiolabeled compounds. The second example aims the monitoring of cellulose degradation and quantification of the lipophilicity of degradation products. SIGNIFICANCE The PAW analytical process seems especially useful for characterisation of mixtures containing both hydrophilic and lipophilic compounds, e.g. neutral and ionizable organic contaminants, hardly characterisable simultaneously by chromatographic methods. It could be complementary to more detailed targeted or screening analysis of samples and effluents. For example it may help assessing the composition and environmental fate of mixtures of unknown analytes, thus facilitating waste management or mitigation strategies.
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Affiliation(s)
- Z Disdier
- Université Paris-Saclay, CEA, Service de Physico-Chimie, 91191, Gif-sur-Yvette, France
| | - R V H Dagnelie
- Université Paris-Saclay, CEA, Service de Physico-Chimie, 91191, Gif-sur-Yvette, France.
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Langa IM, Lado Ribeiro AR, Ratola N, Gonçalves VMF, Tiritan ME, Ribeiro C. Amphetamine-like substances and synthetic cathinones in Portuguese wastewater influents: Enantiomeric profiling and role of suspended particulate matter. Forensic Sci Int 2024; 361:112128. [PMID: 39002412 DOI: 10.1016/j.forsciint.2024.112128] [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: 04/14/2024] [Revised: 06/08/2024] [Accepted: 06/28/2024] [Indexed: 07/15/2024]
Abstract
Wastewater based epidemiology (WBE) has been used worldwide to estimate drug consumption routinely. Even though WBE provides valuable data to support legal and health interventions associated to drug use, monitoring studies in Portuguese wastewaters are scarce. Hence, this work aimed to estimate the consumption of some conventional abuse and illicit drugs such as amphetamine (AMP), methamphetamine (MAMP), 3,4-methylenedioxymethamphetamine (MDMA), and the synthetic cathinones buphedrone (BPD), butylone (BTL), 3,4-dimethylmethcathinone (3,4-DMMC) and 3-methylmethcathinone (3-MMC), considering not only the liquid phase, but also the suspended particulate matter (SPM). Moreover, the enantiomeric profiling of the samples was studied, exploring for the first time the possible enantioselective sorption of these drugs onto SPM. For that, 24 h composite raw wastewaters were collected from a conventional wastewater treatment plant (WWTP) in Portugal. After extraction, the liquid phase and SPM extracts were derivatized with an enantiomerically pure reagent and then, analysed using a gas chromatography-mass spectrometry (GC-MS) analytical method. The results showed a low and non-enantioselective adsorption to SPM at environmental relevant levels. Only (S)-AMP was detected in two SPM samples, whereas AMP, MAMP, MDMA, BPD, and 3,4-DMMC were detected in the liquid phase. AMP was the most frequently found drug with an estimated load up to 166.0 mg day-1 1000 people-1 and mostly found with enrichment of (S)-AMP. Nevertheless, (R)-AMP was also determined, which may be related to the consumption of either the illicit racemic AMP or the medicine (R)-deprenyl. The use of MDMA, MAMP and synthetic cathinones (BPD and 3,4-DMMC) was also suggested in Portugal. Nevertheless, the levels and the consumption estimate of the target chemicals were lower than in other European countries or worldwide. These findings provide the first step to the implementation of WBE monitoring campaigns to assess the status of drug consumption in Portuguese communities, contributing to the understanding of drug use patterns and trends worldwide and helping enforce preventive measures.
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Affiliation(s)
- Ivan M Langa
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, University Institute of Health Sciences - CESPU, Gandra 4585-116, Portugal; UCIBIO - Applied Molecular Biosciences Unit, Translational Toxicology Research Laboratory, University Institute of Health Sciences (1H-TOXRUN, IUCS-CESPU), Gandra 4585-116, Portugal
| | - Ana Rita Lado Ribeiro
- LSRE-LCM - Laboratory of Separation and Reaction Engineering - Laboratory of Catalysis and Materials, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto 4200-465, Portugal; AliCE - Associate Laboratory in Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.
| | - Nuno Ratola
- AliCE - Associate Laboratory in Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal; LEPABE - Laboratory for Process Engineering, Environment, Biotechnology and Energy, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto 4200-465, Portugal
| | - Virgínia M F Gonçalves
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, University Institute of Health Sciences - CESPU, Gandra 4585-116, Portugal; UCIBIO - Applied Molecular Biosciences Unit, Translational Toxicology Research Laboratory, University Institute of Health Sciences (1H-TOXRUN, IUCS-CESPU), Gandra 4585-116, Portugal
| | - Maria Elizabeth Tiritan
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, University Institute of Health Sciences - CESPU, Gandra 4585-116, Portugal; UCIBIO - Applied Molecular Biosciences Unit, Translational Toxicology Research Laboratory, University Institute of Health Sciences (1H-TOXRUN, IUCS-CESPU), Gandra 4585-116, Portugal; Interdisciplinary Center for marine and Environmental Research (CIIMAR), Port of Leixões Cruise Terminal, Av. General Norton de Matos, s/n, Matosinhos, Portugal; Laboratory of Organic and Pharmaceutical Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, R. Jorge Viterbo Ferreira, 228, Porto 4050-313, Portugal
| | - Cláudia Ribeiro
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, University Institute of Health Sciences - CESPU, Gandra 4585-116, Portugal; UCIBIO - Applied Molecular Biosciences Unit, Translational Toxicology Research Laboratory, University Institute of Health Sciences (1H-TOXRUN, IUCS-CESPU), Gandra 4585-116, Portugal.
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Monteil-Rivera F, Locke S, Ye M, Smyth SA, Sullivan K, Okonski A, Jagla M, Gutzman D. Quantification of quaternary ammonium compounds by liquid chromatography-mass spectrometry: Minimizing losses from the field to the laboratory. J Chromatogr A 2024; 1723:464905. [PMID: 38640882 DOI: 10.1016/j.chroma.2024.464905] [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: 01/16/2024] [Revised: 04/07/2024] [Accepted: 04/10/2024] [Indexed: 04/21/2024]
Abstract
Quaternary Ammonium Compounds (QACs) are widely used in household, medical and industrial settings. As a consequence, they are ubiquitously found in the environment. Although significant efforts have been put into the development of sensitive and reproducible analytical methods, much less effort has been dedicated to the monitoring of QACs upon sample storage and sample preparation. Here we studied the effect of storage, concentration, and extraction procedures on the concentrations of QACs in samples. Thirteen QACs selected amongst benzalkonium compounds (BACs), dialkyldimethylammonium compounds (DADMACs) and alkyltrimethylammonium compounds (ATMACs) were quantified in aqueous and solid samples using LC-MS/MS. Most QACs adsorbed on container walls could be recovered using a short washing step with MeOH containing 2 % v/v formic acid. Concentrations of QACs from aqueous solutions using solid phase extraction (SPE) with Strata-X cartridges and elution with acidified MeOH utilized to wash the emptied containers gave highly satisfactory recoveries (101-111 %). Good recoveries (89-116 %) were also obtained when extracting a spiked organic-rich synthetic soil using accelerated solvent extraction (ASE) with acidified MeOH at low solid/solvent ratio (0.4 g/20 mL). Applying the recommended methodologies to real samples collected from a Canadian wastewater treatment plant (WWTP) gave QAC concentrations in the ranges of 0.01-30 µg/L, < 1.2 µg/L, and 0.05-27 mg/kg for the influent, effluent and biosolids samples, respectively.
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Affiliation(s)
- Fanny Monteil-Rivera
- National Research Council of Canada, Aquatic and Crop Resource Development Research Center, 6100 Royalmount Avenue, Montreal, QC, H4P 2R2, Canada.
| | - Steven Locke
- National Research Council of Canada, Aquatic and Crop Resource Development Research Center, 550 University Avenue, Charlottetown, PE, C1A 4P3, Canada
| | - Mengwei Ye
- National Research Council of Canada, Aquatic and Crop Resource Development Research Center, 6100 Royalmount Avenue, Montreal, QC, H4P 2R2, Canada
| | - Shirley Anne Smyth
- Environment and Climate Change Canada, Science and Technology Branch, Regulatory Operations, Policy and Emerging Science Division, 867 Lakeshore Rd., Burlington, ON, L7S 1A1, Canada
| | - Katrina Sullivan
- Environment and Climate Change Canada, Science and Technology Branch, Substance Prioritization, Assessment and Coordination Division, 351St. Joseph Blvd., Gatineau, QC, K1A 0H3, Canada
| | - Alexander Okonski
- Environment and Climate Change Canada, Science and Technology Branch, Substance Prioritization, Assessment and Coordination Division, 351St. Joseph Blvd., Gatineau, QC, K1A 0H3, Canada
| | - Magdalena Jagla
- Environment and Climate Change Canada, Science and Technology Branch, Substance Prioritization, Assessment and Coordination Division, 351St. Joseph Blvd., Gatineau, QC, K1A 0H3, Canada
| | - Don Gutzman
- Environment and Climate Change Canada, Science and Technology Branch, Substance Prioritization, Assessment and Coordination Division, 351St. Joseph Blvd., Gatineau, QC, K1A 0H3, Canada
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Li ZM, Lee C, Kannan K. An exposure assessment of 27 quaternary ammonium compounds in pet dogs and cats from New York State, USA. ENVIRONMENT INTERNATIONAL 2024; 184:108446. [PMID: 38252984 DOI: 10.1016/j.envint.2024.108446] [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: 11/02/2023] [Revised: 12/14/2023] [Accepted: 01/15/2024] [Indexed: 01/24/2024]
Abstract
Benzylalkyldimethylammonium (BACs), dialkyldimethylammonium (DDACs), and alkyltrimethylammonium compounds (ATMACs) are quaternary ammonium compounds (QACs) used widely as biocides, disinfectants, and sanitizers. Owing to their toxicity, human exposure to this class of chemicals is a concern. Pet animals are sentinels of human exposure to several indoor environmental chemicals. For the first time, we measured 7 BACs, 6 DDACs, 6 ATMACs, and 8 metabolites of BACs in urine and feces of pet dogs and cats from New York State, USA. We found widespread occurrence of QACs in feces, with median concentration of ∑All (sum concentration of all 27 QAC analytes) at 9680 and 1260 ng/g dry weight (dw) in dog and cat feces, respectively. BACs were the most abundant compounds among the four types of QACs, accounting for 64 % and 57 % of ∑All in dog and cat feces, respectively, followed by DDACs (33 % and 34 %, respectively), ATMACs (4 % and 9 %, respectively), and BAC metabolites (0.2 % and 0.3 %, respectively). However, in urine, only ω-carboxylic acid metabolites of BACs were found at median concentrations at 2.08 and 0.28 ng/mL in dogs and cats, respectively. Samples collected from animal shelters contained elevated levels of QACs than those from homes of pet owners. A significant positive correlation was found among the four types of QACs analyzed, which suggested usage of these chemicals in combination as mixtures. Based on the concentrations measured in feces, and through a reverse dosimetry approach, the median cumulative daily intakes (CDIs) of QACs were estimated to be 49.4 and 4.75 µg/kg body weight (BW)/day for dogs and cats, respectively. This study provides first evidence that pet dogs and cats are exposed to QACs at significant levels that warrant further attention.
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Affiliation(s)
- Zhong-Min Li
- Wadsworth Center, New York State Department of Health, Albany, NY 12237, United States
| | - Conner Lee
- Wadsworth Center, New York State Department of Health, Albany, NY 12237, United States
| | - Kurunthachalam Kannan
- Wadsworth Center, New York State Department of Health, Albany, NY 12237, United States; Department of Environmental Health Sciences, School of Public Health, State University of New York at Albany, Albany, NY 12237, United States.
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Motteau S, Deborde M, Gombert B, Karpel Vel Leitner N. Non-target analysis for water characterization: wastewater treatment impact and selection of relevant features. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:4154-4173. [PMID: 38097837 DOI: 10.1007/s11356-023-30972-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 11/05/2023] [Indexed: 01/19/2024]
Abstract
Non-target analyses were conducted to characterize and compare the molecular profiles (UHPLC-HRMS fingerprint) of water samples from a wastewater treatment plant (WWTP). Inlet and outlet samples were collected from three campaigns spaced 6 months apart in order to highlight common trends. A significant impact of the treatment on the sample fingerprints was shown, with a 65-70% abatement of the number of features detected in the effluent, and more polar, smaller and less intense molecules found overall compared to those in WWTP influent waters. Multivariate analysis (PCA) associated with variations of the features between inlets and outlets showed that features appearing or increasing were correlated with effluents while those disappearing or decreasing were correlated with influents. Finally, effluent features considered as relevant to a potentially adverse effect on aqueous media (i.e. those which appeared or increased or slightly varied from the influent) were highlighted. Three hundred seventy-five features common with the 3 campaigns were thus selected and further characterized. For most of them, elementary composition was found to be C, H, N, O (42%) and C, H, N, O, P (18%). Considering the MS2 spectra and several reference MS2 databases, annotations were proposed for 35 of these relevant features. They include synthetic products, pharmaceuticals and metabolites.
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Affiliation(s)
- Solène Motteau
- University of Poitiers, Institut de Chimie Des Milieux Et Des Matériaux de Poitiers (IC2MP UMR CNRS 7285), Equipe Eaux Biomarqueurs Contaminants Organiques Milieux (E.BICOM), 1 Rue Marcel Doré, Bâtiment B1, TSA 41105 86073, Cedex, Poitiers, France
| | - Marie Deborde
- University of Poitiers, Institut de Chimie Des Milieux Et Des Matériaux de Poitiers (IC2MP UMR CNRS 7285), Equipe Eaux Biomarqueurs Contaminants Organiques Milieux (E.BICOM), 1 Rue Marcel Doré, Bâtiment B1, TSA 41105 86073, Cedex, Poitiers, France.
- University of Poitiers, UFR Médecine Et de Pharmacie, 6 Rue de La Milétrie, Bâtiment D1, TSA 51115, 86073, Cedex 9, Poitiers, France.
| | - Bertrand Gombert
- University of Poitiers, Institut de Chimie Des Milieux Et Des Matériaux de Poitiers (IC2MP UMR CNRS 7285), Equipe Eaux Biomarqueurs Contaminants Organiques Milieux (E.BICOM), 1 Rue Marcel Doré, Bâtiment B1, TSA 41105 86073, Cedex, Poitiers, France
| | - Nathalie Karpel Vel Leitner
- University of Poitiers, Institut de Chimie Des Milieux Et Des Matériaux de Poitiers (IC2MP UMR CNRS 7285), Equipe Eaux Biomarqueurs Contaminants Organiques Milieux (E.BICOM), 1 Rue Marcel Doré, Bâtiment B1, TSA 41105 86073, Cedex, Poitiers, France
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Houthuijs KJ, Horn M, Vughs D, Martens J, Brunner AM, Oomens J, Berden G. Identification of organic micro-pollutants in surface water using MS-based infrared ion spectroscopy. CHEMOSPHERE 2023; 341:140046. [PMID: 37660788 DOI: 10.1016/j.chemosphere.2023.140046] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/05/2023]
Abstract
Comprehensive monitoring of organic micro-pollutants (OMPs) in drinking water sources relies on non-target screening (NTS) using liquid-chromatography and high-resolution mass spectrometry (LC-HRMS). Identification of OMPs is typically based on accurate mass and tandem mass spectrometry (MS/MS) data by matching against entries in compound databases and MS/MS spectral libraries. MS/MS spectra are, however, not always diagnostic for the full molecular structure and, moreover, emerging OMPs or OMP transformation products may not be present in libraries. Here we demonstrate how infrared ion spectroscopy (IRIS), an emerging MS-based method for structural elucidation, can aid in the identification of OMPs. IRIS measures the IR spectrum of an m/z-isolated ion in a mass spectrometer, providing an orthogonal diagnostic for molecular identification. Here, we demonstrate the workflow for identification of OMPs in river water and show how quantum-chemically predicted IR spectra can be used to screen potential candidates and suggest structural assignments. A crucial step herein is to define a set of candidate structures, presumably including the actual OMP, for which we present several strategies based on domain knowledge, the IR spectrum and MS/MS spectrum.
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Affiliation(s)
- Kas J Houthuijs
- Radboud University, Institute for Molecules and Materials, FELIX Laboratory, Toernooiveld 7, 6525 ED, Nijmegen, the Netherlands
| | - Marijke Horn
- Radboud University, Institute for Molecules and Materials, FELIX Laboratory, Toernooiveld 7, 6525 ED, Nijmegen, the Netherlands
| | - Dennis Vughs
- KWR Water Research Institute, Chemical Water Quality and Health, P.O. Box 1072, 3430 BB, Nieuwegein, the Netherlands
| | - Jonathan Martens
- Radboud University, Institute for Molecules and Materials, FELIX Laboratory, Toernooiveld 7, 6525 ED, Nijmegen, the Netherlands
| | - Andrea M Brunner
- KWR Water Research Institute, Chemical Water Quality and Health, P.O. Box 1072, 3430 BB, Nieuwegein, the Netherlands; TNO, Environmental Modelling, Sensing and Analysis (EMSA), Princetonlaan 8, 3584 CB, Utrecht, the Netherlands
| | - Jos Oomens
- Radboud University, Institute for Molecules and Materials, FELIX Laboratory, Toernooiveld 7, 6525 ED, Nijmegen, the Netherlands; van't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, the Netherlands
| | - Giel Berden
- Radboud University, Institute for Molecules and Materials, FELIX Laboratory, Toernooiveld 7, 6525 ED, Nijmegen, the Netherlands.
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Belova L, Poma G, Roggeman M, Jeong Y, Kim DH, Berghmans P, Peters J, Salamova A, van Nuijs ALN, Covaci A. Identification and characterization of quaternary ammonium compounds in Flemish indoor dust by ion-mobility high-resolution mass spectrometry. ENVIRONMENT INTERNATIONAL 2023; 177:108021. [PMID: 37307605 DOI: 10.1016/j.envint.2023.108021] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/14/2023] [Accepted: 06/01/2023] [Indexed: 06/14/2023]
Abstract
Quaternary ammonium compounds (QACs) are a class of surfactants commonly used in disinfecting and cleaning products. Their use has substantially increased during the COVID-19 pandemic leading to increasing human exposure. QACs have been associated with hypersensitivity reactions and an increased risk of asthma. This study introduces the first identification, characterization and semi-quantification of QACs in European indoor dust using ion-mobility high-resolution mass spectrometry (IM-HRMS), including the acquisition of collision cross section values (DTCCSN2) for targeted and suspect QACs. A total of 46 indoor dust samples collected in Belgium were analyzed using target and suspect screening. Targeted QACs (n = 21) were detected with detection frequencies ranging between 4.2 and 100 %, while 15 QACs showed detection frequencies > 90 %. Semi-quantified concentrations of individual QACs showed a maximum of 32.23 µg/g with a median ∑QAC concentration of 13.05 µg/g and allowed the calculation of Estimated Daily Intakes for adults and toddlers. Most abundant QACs matched the patterns reported in indoor dust collected in the United States. Suspect screening allowed the identification of 17 additional QACs. A dialkyl dimethyl ammonium compound with mixed chain lengths (C16:C18) was characterized as a major QAC homologue with a maximum semi-quantified concentration of 24.90 µg/g. The high detection frequencies and structural variabilities observed call for more European studies on potential human exposure to these compounds. For all targeted QACs, drift tube IM-HRMS derived collision cross section values (DTCCSN2) are reported. Reference DTCCSN2 values allowed the characterization of CCS-m/z trendlines for each of the targeted QAC classes. Experimental CCS-m/z ratios of suspect QACs were compared with the CCS-m/z trendlines. The alignment between the two datasets served as an additional confirmation of the assigned suspect QACs. The use of the 4bit multiplexing acquisition mode with consecutive high-resolution demultiplexing confirmed the presence of isomers for two of the suspect QACs.
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Affiliation(s)
- Lidia Belova
- Toxicological Centre, University of Antwerp, Antwerp, Belgium.
| | - Giulia Poma
- Toxicological Centre, University of Antwerp, Antwerp, Belgium
| | | | - Yunsun Jeong
- Toxicological Centre, University of Antwerp, Antwerp, Belgium; Division for Environmental Health, Korea Environment Institute (KEI), Sicheong-daero 370, Sejong 30147, Republic of Korea
| | - Da-Hye Kim
- Toxicological Centre, University of Antwerp, Antwerp, Belgium
| | - Patrick Berghmans
- Flemish Institute for Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium
| | - Jan Peters
- Flemish Institute for Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium
| | - Amina Salamova
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | | | - Adrian Covaci
- Toxicological Centre, University of Antwerp, Antwerp, Belgium.
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