PMID- 31229814
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20190820
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 688
DP  - 2019 Oct 20
TI  - Assessment of gas chromatography time-of-flight mass spectrometry for the 
      screening of semi-volatile compounds in indoor dust.
PG  - 162-173
LID - S0048-9697(19)32763-9 [pii]
LID - 10.1016/j.scitotenv.2019.06.192 [doi]
AB  - Indoor dust contains a complex mixture of anthropogenic and synthetic compounds 
      closely related to dermal and respiratory diseases. Target methods have been 
      developed for the quantification of distinct groups of substances in dust 
      samples; however, the comprehensive characterization of the different species 
      existing in this matrix remains a challenging issue. Herein, we assess the 
      performance of gas chromatography (GC) time-of-flight mass spectrometry (TOF-MS), 
      using electron ionization (EI), for the screening of compounds present in indoor 
      dust. Samples are processed by pressurized-liquid extraction (PLE) before 
      GC-EI-TOF-MS analysis. The study proposes a data mining workflow for the 
      non-target identification of species contained in dust extracts, aided by 
      preliminary comparison with nominal resolution EI-MS spectra in the NIST17 
      library. The possibilities, and the limitations, of the above approach are 
      discussed and the identities of >75 compounds are confirmed by comparison with 
      authentic standards in dust from indoor environments. Some species, such as 
      indigo, phthalic anhydride, 2,4-toluene di-isocyanate, phthalimide, certain UV 
      absorbers and octyl isothiazolinone, identified in this research, have not been 
      previously considered in target methods dealing with dust analysis. The study 
      also evaluates two different algorithms for the suspected-target screening of 
      dust extracts using a customized library of accurate EI-MS spectra. Finally, a 
      semi-quantitative estimation of the range of concentrations for a group of 44 
      pollutants in a set of 27 dust samples is provided.
CI  - Copyright (c) 2019 Elsevier B.V. All rights reserved.
FAU - Castro, G
AU  - Castro G
AD  - Department of Analytical Chemistry, Nutrition and Food Sciences, Institute for 
      Research and Food Analysis (IIAA), Universidade de Santiago de Compostela, 15782 
      Santiago de Compostela, Spain.
FAU - Rodriguez, I
AU  - Rodriguez I
AD  - Department of Analytical Chemistry, Nutrition and Food Sciences, Institute for 
      Research and Food Analysis (IIAA), Universidade de Santiago de Compostela, 15782 
      Santiago de Compostela, Spain. Electronic address: isaac.rodriguez@usc.es.
FAU - Ramil, M
AU  - Ramil M
AD  - Department of Analytical Chemistry, Nutrition and Food Sciences, Institute for 
      Research and Food Analysis (IIAA), Universidade de Santiago de Compostela, 15782 
      Santiago de Compostela, Spain.
FAU - Cela, R
AU  - Cela R
AD  - Department of Analytical Chemistry, Nutrition and Food Sciences, Institute for 
      Research and Food Analysis (IIAA), Universidade de Santiago de Compostela, 15782 
      Santiago de Compostela, Spain.
LA  - eng
PT  - Journal Article
DEP - 20190615
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
SB  - IM
OTO - NOTNLM
OT  - Deconvolution
OT  - Dust
OT  - Gas chromatography time-of-flight mass spectrometry
OT  - Non-target screening
EDAT- 2019/06/24 06:00
MHDA- 2019/06/24 06:01
CRDT- 2019/06/24 06:00
PHST- 2019/03/20 00:00 [received]
PHST- 2019/05/14 00:00 [revised]
PHST- 2019/06/12 00:00 [accepted]
PHST- 2019/06/24 06:00 [pubmed]
PHST- 2019/06/24 06:01 [medline]
PHST- 2019/06/24 06:00 [entrez]
AID - S0048-9697(19)32763-9 [pii]
AID - 10.1016/j.scitotenv.2019.06.192 [doi]
PST - ppublish
SO  - Sci Total Environ. 2019 Oct 20;688:162-173. doi: 10.1016/j.scitotenv.2019.06.192. 
      Epub 2019 Jun 15.