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      The strength in numbers: comprehensive characterization of house dust using complementary mass spectrometric techniques

      research-article
      1 , 2 , , 3 , 3 , 4 , 3 , 5 , 1 , 6 , 7 , 8 , 9 , 2 , 10 , 11 , 4 , 12 , 13 , 14 , 15 , 10 , 16 , 17 , 18 , 19 , 4 , 20 , 4 , 21
      Analytical and Bioanalytical Chemistry
      Springer Berlin Heidelberg
      House dust, Suspect and nontarget analysis, Collaborative trial, Complementary analytical techniques, Mass spectrometry

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          Abstract

          Untargeted analysis of a composite house dust sample has been performed as part of a collaborative effort to evaluate the progress in the field of suspect and nontarget screening and build an extensive database of organic indoor environment contaminants. Twenty-one participants reported results that were curated by the organizers of the collaborative trial. In total, nearly 2350 compounds were identified (18%) or tentatively identified (25% at confidence level 2 and 58% at confidence level 3), making the collaborative trial a success. However, a relatively small share (37%) of all compounds were reported by more than one participant, which shows that there is plenty of room for improvement in the field of suspect and nontarget screening. An even a smaller share (5%) of the total number of compounds were detected using both liquid chromatography–mass spectrometry (LC-MS) and gas chromatography–mass spectrometry (GC-MS). Thus, the two MS techniques are highly complementary. Most of the compounds were detected using LC with electrospray ionization (ESI) MS and comprehensive 2D GC (GC×GC) with atmospheric pressure chemical ionization (APCI) and electron ionization (EI), respectively. Collectively, the three techniques accounted for more than 75% of the reported compounds. Glycols, pharmaceuticals, pesticides, and various biogenic compounds dominated among the compounds reported by LC-MS participants, while hydrocarbons, hydrocarbon derivatives, and chlorinated paraffins and chlorinated biphenyls were primarily reported by GC-MS participants. Plastics additives, flavor and fragrances, and personal care products were reported by both LC-MS and GC-MS participants. It was concluded that the use of multiple analytical techniques was required for a comprehensive characterization of house dust contaminants. Further, several recommendations are given for improved suspect and nontarget screening of house dust and other indoor environment samples, including the use of open-source data processing tools. One of the tools allowed provisional identification of almost 500 compounds that had not been reported by participants.

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          The online version of this article (10.1007/s00216-019-01615-6) contains supplementary material, which is available to authorized users.

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          Most cited references49

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          Phosphorus flame retardants: properties, production, environmental occurrence, toxicity and analysis.

          Since the ban on some brominated flame retardants (BFRs), phosphorus flame retardants (PFRs), which were responsible for 20% of the flame retardant (FR) consumption in 2006 in Europe, are often proposed as alternatives for BFRs. PFRs can be divided in three main groups, inorganic, organic and halogen containing PFRs. Most of the PFRs have a mechanism of action in the solid phase of burning materials (char formation), but some may also be active in the gas phase. Some PFRs are reactive FRs, which means they are chemically bound to a polymer, whereas others are additive and mixed into the polymer. The focus of this report is limited to the PFRs mentioned in the literature as potential substitutes for BFRs. The physico-chemical properties, applications and production volumes of PFRs are given. Non-halogenated PFRs are often used as plasticisers as well. Limited information is available on the occurrence of PFRs in the environment. For triphenyl phosphate (TPhP), tricresylphosphate (TCP), tris(2-chloroethyl)phosphate (TCEP), tris(chloropropyl)phosphate (TCPP), tris(1,3-dichloro-2-propyl)phosphate (TDCPP), and tetrekis(2-chlorethyl)dichloroisopentyldiphosphate (V6) a number of studies have been performed on their occurrence in air, water and sediment, but limited data were found on their occurrence in biota. Concentrations found for these PFRs in air were up to 47 μg m(-3), in sediment levels up to 24 mg kg(-1) were found, and in surface water concentrations up to 379 ng L(-1). In all these matrices TCPP was dominant. Concentrations found in dust were up to 67 mg kg(-1), with TDCPP being the dominant PFR. PFR concentrations reported were often higher than polybrominated diphenylether (PBDE) concentrations, and the human exposure due to PFR concentrations in indoor air appears to be higher than exposure due to PBDE concentrations in indoor air. Only the Cl-containing PFRs are carcinogenic. Other negative human health effects were found for Cl-containing PFRs as well as for TCP, which suggest that those PFRs would not be suitable alternatives for BFRs. TPhP, diphenylcresylphosphate (DCP) and TCP would not be suitable alternatives either, because they are considered to be toxic to (aquatic) organisms. Diethylphosphinic acid is, just like TCEP, considered to be very persistent. From an environmental perspective, resorcinol-bis(diphenylphosphate) (RDP), bisphenol-A diphenyl phosphate (BADP) and melamine polyphosphate, may be suitable good substitutes for BFRs. Information on PFR analysis in air, water and sediment is limited to TCEP, TCPP, TPhP, TCP and some other organophosphate esters. For air sampling passive samplers have been used as well as solid phase extraction (SPE) membranes, SPE cartridges, and solid phase micro-extraction (SPME). For extraction of PFRs from water SPE is recommended, because this method gives good recoveries (67-105%) and acceptable relative standard deviations (RSDs) (<20%), and offers the option of on-line coupling with a detection system. For the extraction of PFRs from sediment microwave-assisted extraction (MAE) is recommended. The recoveries (78-105%) and RSDs (3-8%) are good and the method is faster and requires less solvent compared to other methods. For the final instrumental analysis of PFRs, gas chromatography-flame photometric detection (GC-FPD), GC-nitrogen-phosphorus detection (NPD), GC-atomic emission detection (AED), GC-mass spectrometry (MS) as well as liquid chromatography (LC)-MS/MS and GC-Inductively-coupled plasma-MS (ICP-MS) are used. GC-ICP-MS is a promising method, because it provides much less complex chromatograms while offering the same recoveries and limits of detection (LOD) (instrumental LOD is 5-10 ng mL(-1)) compared to GC-NPD and GC-MS, which are frequently used methods for PFR analysis. GC-MS offers a higher selectivity than GC-NPD and the possibility of using isotopically labeled compounds for quantification. Copyright © 2012 Elsevier Ltd. All rights reserved.
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            What are the sources of exposure to eight frequently used phthalic acid esters in Europeans?

            Phthalic acid esters (phthalates) are used as plasticizers in numerous consumer products, commodities, and building materials. Consequently, phthalates are found in human residential and occupational environments in high concentrations, both in air and in dust. Phthalates are also ubiquitous food and environmental contaminants. An increasing number of studies sampling human urine reveal the ubiquitous phthalate exposure of consumers in industrialized countries. At the same time, recent toxicological studies have demonstrated the potential of the most important phthalates to disturb the human hormonal system and human sexual development and reproduction. Additionally, phthalates are suspected to trigger asthma and dermal diseases in children. To find the important sources of phthalates in Europeans, a scenario-based approach is applied here. Scenarios representing realistic exposure situations are generated to calculate the age-specific range in daily consumer exposure to eight phthalates. The scenarios demonstrate that exposure of infant and adult consumers is caused by different sources in many cases. Infant consumers experience significantly higher daily exposure to phthalates in relation to their body weight than older consumers. The use of consumer products and different indoor sources dominate the exposure to dimethyl, diethyl, benzylbutyl, diisononyl, and diisodecyl phthalates, whereas food has a major influence on the exposure to diisobutyl, dibutyl, and di-2-ethylhexyl phthalates. The scenario-based approach chosen in the present study provides a link between the knowledge on emission sources of phthalates and the concentrations of phthalate metabolites found in human urine.
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              CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra

              CFM-ID is a web server supporting three tasks associated with the interpretation of tandem mass spectra (MS/MS) for the purpose of automated metabolite identification: annotation of the peaks in a spectrum for a known chemical structure; prediction of spectra for a given chemical structure and putative metabolite identification—a predicted ranking of possible candidate structures for a target spectrum. The algorithms used for these tasks are based on Competitive Fragmentation Modeling (CFM), a recently introduced probabilistic generative model for the MS/MS fragmentation process that uses machine learning techniques to learn its parameters from data. These algorithms have been extensively tested on multiple datasets and have been shown to out-perform existing methods such as MetFrag and FingerId. This web server provides a simple interface for using these algorithms and a graphical display of the resulting annotations, spectra and structures. CFM-ID is made freely available at http://cfmid.wishartlab.com.
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                Author and article information

                Contributors
                peter.haglund@umu.se
                Journal
                Anal Bioanal Chem
                Anal Bioanal Chem
                Analytical and Bioanalytical Chemistry
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1618-2642
                1618-2650
                4 March 2019
                4 March 2019
                2019
                : 411
                : 10
                : 1957-1977
                Affiliations
                [1 ]NILU—Norwegian Institute for Air Research, 2027 Kjeller, Norway
                [2 ]ISNI 0000 0001 1034 3451, GRID grid.12650.30, Umeå University, ; 90187 Umeå, Sweden
                [3 ]ISNI 0000 0001 2155 0800, GRID grid.5216.0, Department of Chemistry, , University of Athens, ; 157 71 Athens, Greece
                [4 ]GRID grid.433966.d, Environmental Institute, ; 972 41 Kos, Slovak Republic
                [5 ]ISNI 0000 0001 1957 9153, GRID grid.9612.c, Research Institute for Pesticides and Water, , University Jaume I, ; 12071 Castelló, Spain
                [6 ]GRID grid.484596.2, Research Centre for Toxic Compounds in the Environment, ; 611 37 Brno, Czech Republic
                [7 ]ISNI 0000 0001 2106 639X, GRID grid.412041.2, University of Bordeaux, ; 33405 Talence Cedex, France
                [8 ]ISNI 0000 0001 2184 7612, GRID grid.410334.1, Environment and Climate Change Canada, ; North Vancouver, V7H 1B1 Canada
                [9 ]ISNI 0000 0001 0790 3681, GRID grid.5284.b, Toxicological Center, , University of Antwerp, ; 2610 Wilrijk, Belgium
                [10 ]ISNI 0000000123222966, GRID grid.6936.a, Technical University of Munich, ; 85748 Garching, Germany
                [11 ]Vogon Laboratory Services Ltd, Cochrane, AB T4C 0A3 Canada
                [12 ]GRID grid.419892.f, Ontario Ministry of Environment and Climate Change, ; Etobicoke, ON M9P 3V6 Canada
                [13 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Queensland Alliance for Environmental Health Sciences (QAEHS), , University of Queensland, ; Woolloongabba, QLD 4102 Australia
                [14 ]ISNI 0000 0004 1754 9227, GRID grid.12380.38, VU University Amsterdam, ; 1081 HV Amsterdam, The Netherlands
                [15 ]ISNI 0000 0001 2177 3043, GRID grid.8453.a, INERIS, Parc Technologique ALATA, ; 60550 Verneuil-en-Halatte, France
                [16 ]ISNI 0000 0000 9987 7806, GRID grid.5809.4, IVL Swedish Environmental Research Institute, ; 114 27 Stockholm, Sweden
                [17 ]ISNI 0000 0001 1523 2072, GRID grid.437386.d, Present Address: Swedish Chemicals Agency (KemI), ; 172 67 Sundbyberg, Sweden
                [18 ]ISNI 0000 0001 0746 5933, GRID grid.140139.e, National Institute for Environmental Studies, ; Tsukuba, 305-8506 Japan
                [19 ]ISNI 0000 0004 1936 9684, GRID grid.27860.3b, University of California, ; Davis, CA 95616 USA
                [20 ]ISNI 0000 0004 1936 9377, GRID grid.10548.38, Department of Environmental Science and Analytical Chemistry (ACES), , Stockholm University, ; 106 91 Stockholm, Sweden
                [21 ]ISNI 0000 0001 2184 7612, GRID grid.410334.1, Environment and Climate Change Canada, ; Ottawa, ON K1V 1C7 Canada
                Article
                1615
                10.1007/s00216-019-01615-6
                6458998
                30830245
                56aedd7e-4151-4e96-bf3f-1e0f93c85e32
                © The Author(s) 2019

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 6 November 2018
                : 20 December 2018
                : 15 January 2019
                Funding
                Funded by: Umea University
                Categories
                Paper in Forefront
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2019

                Analytical chemistry
                house dust,suspect and nontarget analysis,collaborative trial,complementary analytical techniques,mass spectrometry

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