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

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dc.contributor.author
Rostkowski, Pawel
Haglund, Peter
Aalizadeh, Reza
Alygizakis, Nikiforos
Thomaidis, Nikolaos
Beltran Arandes, Joaquin
Bohlin Nizzetto, Pernilla
Booij, Petra
Budzinski, Hélène
Brunswick, Pamela
Covaci, Adrian
Gallampois, Christine
Grosse, Sylvia
Hindle, Ralph
Ipolyi, Ildiko
Jobst, Karl
Kaserzon, Sarit L.
Leonards, Pim
Lestremau, Francois
Letzel, Thomas
Magnér, Jörgen
Matsukami, Hidenori
Moschet, Christoph
Oswald, Peter
Plassmann, Merle
Slobodnik, Jaroslav
Yang, Chun
dc.date.accepted
2019-01-15
dc.date.accessioned
2025-07-04T19:21:16Z
dc.date.available
2025-07-04T19:21:16Z
dc.date.issued
2019-03-04
dc.date.submitted
2018-11-06
dc.description.abstract - en
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.
dc.identifier.doi
https://doi.org/10.1007/s00216-019-01615-6
dc.identifier.issn
1618-2650
1618-2642
dc.identifier.uri
https://open-science.canada.ca/handle/123456789/3724
dc.language.iso
en
dc.publisher - en
Springer Nature
dc.rights - en
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights - fr
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights.openaccesslevel - en
Gold
dc.rights.openaccesslevel - fr
Or
dc.rights.uri - en
https://creativecommons.org/licenses/by/4.0/
dc.rights.uri - fr
https://creativecommons.org/licenses/by/4.0/deed.fr
dc.subject - en
Chemistry
Pollutants
Environmental protection
dc.subject - fr
Chimie
Polluant
Protection de l'environnement
dc.subject.en - en
Chemistry
Pollutants
Environmental protection
dc.subject.fr - fr
Chimie
Polluant
Protection de l'environnement
dc.title - en
The strength in numbers : comprehensive characterization of house dust using complementary mass spectrometric techniques
dc.type - en
Article
dc.type - fr
Article
local.article.journaltitle - en
Analytical and Bioanalytical Chemistry
local.article.journalvolume
411
local.pagination
1957–1977
local.peerreview - en
Yes
local.peerreview - fr
Oui
local.requestdoi
No
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