Revision of French Occupational Exposure Limits of Asbestos and Recommendation of Measurement Method: Can the Dimensional Characteristics of the Asbestos Fibers (Long, Thin, Short) Be Taken Into Account?

Yamani, Mounia El; Boulanger, Guillaume; Nerrière-Catelinois, E.; Paillat, Amandine; Modelon, Hugues; Soyez, Alain; Paquet, F.; Binet, Stéphane; Paris, C.; Brochard, Patrick

doi:10.1080/10643389.2011.556895

Cited by 4 publications

(2 citation statements)

References 93 publications

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“…Electron microscopy (EM) is an analysis technique, which allows visualization of particles down to the nanometre scale, thereby providing physical information on the single particle level e.g. geometric size, agglomeration state, and shape 20,21 . EM can furthermore measure the elemental composition of individual particles when combined with energy dispersive x-ray spectroscopy (EDS or EDX), enabling a more detailed description of aerosol populations 22,23 than the real time instruments.…”

Section: Introductionmentioning

confidence: 99%

Improving the foundation for particulate matter risk assessment by individual nanoparticle statistics from electron microscopy analysis

Brostrøm

Kling

Koponen

et al. 2019

Sci Rep

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Air pollution is one of the major contributors to the global burden of disease, with particulate matter (PM) as one of its central concerns. Thus, there is a great need for exposure and risk assessments associated with PM pollution. However, current standard measurement techniques bring no knowledge of particle composition or shape, which have been identified among the crucial parameters for toxicology of inhaled particles. We present a method for collecting aerosols via impaction directly onto Transmission Electron Microscopy (TEM) grids, and based on the measured impactor collection efficiency and observed impact patterns we establish a reproducible imaging routine for automated Scanning Electron Microscopy (SEM) analysis. The method is validated by comparison to scanning mobility particle sizer (SMPS) measurements, where a good agreement is found between the particle size distributions (PSD), ensuring a representative description of the sampled aerosol. We furthermore determine sampling conditions for achieving optimal particle coverage on the TEM grids, allowing for a statistical analysis. In summary, the presented method can provide not only a representative PSD, but also detailed statistics on individual particle geometries. If coupled with Energy-dispersive X-ray spectroscopy (EDS) analysis elemental compositions can be assessed as well. This makes it possible to categorize particles both according to size and shape e.g. round and fibres, or agglomerates, as well as classify them based on their elemental composition e.g. salt, soot, or metals. Combined this method brings crucial knowledge for improving the foundation for PM risk assessments on workplaces and in ambient conditions with complex aerosol pollution.

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Section: Introductionmentioning

confidence: 99%

Improving the foundation for particulate matter risk assessment by individual nanoparticle statistics from electron microscopy analysis

Brostrøm

Kling

Koponen

et al. 2019

Sci Rep

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“…The Halloysite aerosol was generated with a brush generator, aerosolizing a Halloysite powder (Dragonite HP ™ , Applied Minerals Inc., New York, US; CAS: 1332-58-7). Halloysites were chosen due to their fibrous shape, which can cause adverse health effects in humans, making a reliable quantification of high importance 10,[41][42][43] .…”

mentioning

confidence: 99%

Complex Aerosol Characterization by Scanning Electron Microscopy Coupled with Energy Dispersive X-ray Spectroscopy

Brostrøm

Kling

Hougaard

et al. 2020

Sci Rep

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Particulate matter (PM) air pollution is a central concern for public health. Current legislation relies on a mass concentration basis, despite broad acceptance that mass alone is insufficient to capture the complexity and toxicity of airborne PM, calling for additional and more comprehensive measurement techniques. We study to what extent scanning electron microscopy coupled with energy dispersive X-ray spectroscopy (SEM/EDS) can be applied for physicochemical characterization of complex aerosols, and investigate its potential for separating particle properties on a single particle basis, even for nanosized particles. SEM/EDS analysis is performed on impactor samples of laboratory generated aerosols, consisting of either NaCl, Halloysite fibers, soot-like Printex90 agglomerates, or their combination. The analysis is automated and performed as EDS maps, covering a statistically relevant number of particles, with analysis times of approximately one hour/sample. Derived size distributions are compared to scanning mobility particle sizer (SMPS) and electric low-pressure impactor (ELPI) results. A method is presented to estimate airborne number concentrations and size distributions directly from SEM results, within a factor 10 of SMPS and ELPI outcomes. A classification scheme is developed based on elemental composition, providing class-specific information with individual particle statistics on shape, size, and mixing state. This can identify primary particles for source apportionment and enables easy distinction between fibrous and dense particle classes, e.g. for targeted risk assessments. Overall, the SEM/EDS analysis provides a more detailed physicochemical characterization of PM than online measurements, e.g. SMPS and ELPI. The method has the potential to improve assessments of PM exposure and risk, and facilitates source identification, even without prior knowledge at sampling.

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Fiber burden and asbestos-related diseases: an umbrella review

Ramada¹,

Cerrada²,

Pujadas³

et al. 2022

Gaceta Sanitaria

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Revision of French Occupational Exposure Limits of Asbestos and Recommendation of Measurement Method: Can the Dimensional Characteristics of the Asbestos Fibers (Long, Thin, Short) Be Taken Into Account?

Cited by 4 publications

References 93 publications

Improving the foundation for particulate matter risk assessment by individual nanoparticle statistics from electron microscopy analysis

Improving the foundation for particulate matter risk assessment by individual nanoparticle statistics from electron microscopy analysis

Complex Aerosol Characterization by Scanning Electron Microscopy Coupled with Energy Dispersive X-ray Spectroscopy

Fiber burden and asbestos-related diseases: an umbrella review

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