Literature DB >> 22393805

Speciated arsenic in air: measurement methodology and risk assessment considerations.

Ari S Lewis1, Kim R Reid, Margaret C Pollock, Sharan L Campleman.   

Abstract

Accurate measurement of arsenic (As) in air is critical to providing a more robust understanding of arsenic exposures and associated human health risks. Although there is extensive information available on total arsenic in air, less is known on the relative contribution of each arsenic species. To address this data gap, the authors conducted an in-depth review of available information on speciated arsenic in air. The evaluation included the type of species measured and the relative abundance, as well as an analysis of the limitations of current analytical methods. Despite inherent differences in the procedures, most techniques effectively separated arsenic species in the air samples. Common analytical techniques such as inductively coupled plasma mass spectrometry (ICP-MS) and/or hydride generation (HG)- or quartz furnace (GF)-atomic absorption spectrometry (AAS) were used for arsenic measurement in the extracts, and provided some of the most sensitive detection limits. The current analysis demonstrated that, despite limited comparability among studies due to differences in seasonal factors, study duration, sample collection methods, and analytical methods, research conducted to date is adequate to show that arsenic in air is mainly in the inorganic form. Reported average concentrations of As(III) and As(V) ranged up to 7.4 and 10.4 ng/m3, respectively, with As(V) being more prevalent than As(III) in most studies. Concentrations of the organic methylated arsenic compounds are negligible (in the pg/m3 range). However because of the variability in study methods and measurement methodology, the authors were unable to determine the variation in arsenic composition as a function of source or particulate matter (PM) fraction. In this work, the authors include the implications of arsenic speciation in air on potential exposure and risks. The authors conclude that it is important to synchronize sample collection, preparation, and analytical techniques in order to generate data more useful for arsenic inhalation risk assessment, and a more robust documentation of quality assurance/quality control (QA/QC) protocols is necessary to ensure accuracy, precision, representativeness, and comparability.

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Year:  2012        PMID: 22393805     DOI: 10.1080/10473289.2011.608620

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  4 in total

1.  Estimation of Inorganic Arsenic Exposure in Populations With Frequent Seafood Intake: Evidence From MESA and NHANES.

Authors:  Miranda R Jones; Maria Tellez-Plaza; Dhananjay Vaidya; Maria Grau; Kevin A Francesconi; Walter Goessler; Eliseo Guallar; Wendy S Post; Joel D Kaufman; Ana Navas-Acien
Journal:  Am J Epidemiol       Date:  2016-10-04       Impact factor: 4.897

2.  Trends in arsenic levels in PM10 and PM 2.5 aerosol fractions in an industrialized area.

Authors:  J R García-Aleix; J M Delgado-Saborit; G Verdú-Martín; J M Amigó-Descarrega; V Esteve-Cano
Journal:  Environ Sci Pollut Res Int       Date:  2013-07-11       Impact factor: 4.223

3.  Metal(loid) bioaccessibility of atmospheric particulate matter from mine tailings at Zimapan, Mexico.

Authors:  Jesús Eulises Corona Sánchez; Ma Del Carmen Angeles González Chávez; Rogelio Carrillo González; Kirk Scheckel; Daniel Tapia Maruri; José L García Cue
Journal:  Environ Sci Pollut Res Int       Date:  2021-01-04       Impact factor: 4.223

4.  Occurrence, Seasonal Variation, and Size Resolved Distribution of Arsenic Species in Atmospheric Particulate Matter in an Urban Area in Southeastern Austria.

Authors:  Stefan Tanda; Katharina Gingl; Roman Ličbinský; Jitka Hegrová; Walter Goessler
Journal:  Environ Sci Technol       Date:  2020-04-21       Impact factor: 9.028

  4 in total

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