Assessment uncertainty associated to the analysis of organic compounds linked to particulate matter of atmospheric aerosols

Current work has evaluated uncertainty associated to quantification of several organic compounds present in particulate matter of atmospheric aerosols, setting out the stages of analytical procedure that contribute most to the global uncertainty. Several sources of uncertainty have been identified,...

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Bibliographic Details
Published in:Talanta (Oxford) 2010, Vol.80 (3), p.1121-1128
Main Authors: Jiménez, Oscar Pindado, Pastor, Rosa Mª Pérez, Alonso, Susana García
Format: Article
Language:English
Subjects:
Aerosols
Air
Analytical chemistry
Assessment uncertainty
Atmosphere - chemistry
Atmospheric aerosol
Chemistry
Chemistry Techniques, Analytical - methods
Chemistry Techniques, Analytical - standards
Chromatographic methods and physical methods associated with chromatography
Exact sciences and technology
Filtration
Gas chromatographic methods
Gas chromatography–mass spectrometry (GC–MS)
Organic Chemicals - analysis
Organic Chemicals - chemistry
Organic Chemicals - isolation & purification
Organic compounds
Particulate Matter - chemistry
Reference Standards
Reproducibility of Results
Spectrometric and optical methods
Uncertainty
Validation
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Summary:Current work has evaluated uncertainty associated to quantification of several organic compounds present in particulate matter of atmospheric aerosols, setting out the stages of analytical procedure that contribute most to the global uncertainty. Several sources of uncertainty have been identified, which were clustered into five main contributions: sampling, extraction, clean-up, derivatization and analysis. A discussion of the main contributions to the overall uncertainty is reported, allowing authors to locate the largest ones and plan future improvements. Combined uncertainties ranged between 10–18% (alkanes), 12–16% (PAHs), 10–18% (alcohols) and 9–21% (acids). The analytical procedure was validated by analysing a standard reference material (SRM1649a, urban dust). Also, the proposed method was applied to the analysis of four samples of particulate matter.
ISSN:0039-9140
1873-3573
DOI:10.1016/j.talanta.2009.08.036