Portable dehumidifiers condensed water: A novel matrix for the screening of semi-volatile compounds in indoor air
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Elsevier
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The comprehensive identification of organic species existing in indoor environments is a key issue to understand their impact in human health. This study proposes the analysis of condensed water samples, collected with portable dehumidifiers, to characterize semi-volatile compounds in the gas phase of confined areas. Water samples are concentrated by solid-phase extraction (SPE). The obtained extracts are analysed by gas chromatography (GC) time-of-flight mass spectrometry (TOF-MS), following a non-target screening data mining approach. In first term, spectra of deconvoluted compounds are compared with those in NIST low resolution library; thereafter, tentative identifications are verified using an in-house database of accurate electron ionization (EI) MS spectra. Chromatographic (retention index) and spectral data are combined for unambiguous species identification. The potential of condensed water samples to reflect changes in the composition of indoor atmospheres, the match between data obtained using different dehumidifiers, and the relative concentration efficiency of condensed water compared to that attained by active sampling of moderate air volumes are discussed. A total of 141 semi-volatile compounds were identified (98 confirmed against authentic standards) in a set of 21 samples obtained from different homes and working places. This list contains more than 40 fragrances (including several potential allergens), solvents and intermediates in the production of polymeric materials, plasticizers and flame retardants
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M. Cobo-Golpe, M. Ramil, R. Cela, I. Rodríguez, Portable dehumidifiers condensed water: A novel matrix for the screening of semi-volatile compounds in indoor air, Chemosphere, Volume 251, 2020, 126346, ISSN 0045-6535, https://doi.org/10.1016/j.chemosphere.2020.126346
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https://doi.org/10.1016/j.chemosphere.2020.126346Sponsors
This study was supported by Xunta de Galicia and Spanish Government through grants GRC-ED431C 2017/36 and PGC2018-094613-B-I00, both co-funded by the EU
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© 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Attribution-NonCommercial-NoDerivatives 4.0 Internacional







