The strength in numbers: comprehensive characterization of house dust using complementary mass spectrometric techniques Academic Article uri icon

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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.

authors

  • Rostkowski, Pawel
  • Haglund, Peter
  • Aalizadeh, Reza
  • Alygizakis, Nikiforos
  • Thomaidis, Nikolaos
  • Arandes, Joaquin Beltran
  • Nizzetto, Pernilla Bohlin
  • 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

publication date

  • April 2019