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Innovative unattended SEM-EDS analysis for asbestos fiber quantification.
Cossio, Roberto; Albonico, Carlo; Zanella, Andrea; Fraterrigo-Garofalo, Silvia; Avataneo, Chiara; Compagnoni, Roberto; Turci, Francesco.
Afiliação
  • Cossio R; "G. Scansetti" Interdepartmental Center for Studies on Asbestos and Other Toxic Particulates, University of Torino, Torino, Italy; Department of Earth Sciences, University of Torino, Via Valperga Caluso 35, I-10125 Torino, Italy.
  • Albonico C; Regional Agency for the Protection of the Environment of Valle d'Aosta (ARPA VdA), I-11020 Saint Christophe, Aosta, Italy.
  • Zanella A; Regional Agency for the Protection of the Environment of Valle d'Aosta (ARPA VdA), I-11020 Saint Christophe, Aosta, Italy.
  • Fraterrigo-Garofalo S; Department of Chemistry, University of Torino, Via P. Giuria, 7, I-10125 Torino, Italy.
  • Avataneo C; Gi-RES S.r.l., Geological Risk Analysis, Torino, Italy.
  • Compagnoni R; "G. Scansetti" Interdepartmental Center for Studies on Asbestos and Other Toxic Particulates, University of Torino, Torino, Italy; Department of Earth Sciences, University of Torino, Via Valperga Caluso 35, I-10125 Torino, Italy.
  • Turci F; "G. Scansetti" Interdepartmental Center for Studies on Asbestos and Other Toxic Particulates, University of Torino, Torino, Italy; Department of Chemistry, University of Torino, Via P. Giuria, 7, I-10125 Torino, Italy. Electronic address: francesco.turci@unito.it.
Talanta ; 190: 158-166, 2018 Dec 01.
Article em En | MEDLINE | ID: mdl-30172493
ABSTRACT
Scanning electron microscopy with energy dispersive spectrometry (SEM-EDS) is the only affordable analytical technique that can discriminate both morphology and elemental composition of inorganic fibers. SEM-EDS is indeed required to quantify asbestos in confounding natural matrixes (e.g. ophiolites), but is also time-consuming, operator dependent, and strongly relies on the stochastic distribution of the fibers on the filter surface. The balance between analytical time/cost and the method sensibility allows only about 0.5% of the filter to be analyzed, strongly affecting the statistical significance of results. To improve sensitivity and precision and enhance productivity, an unattended quantitative measurement of the asbestos fibers by SEM-EDS is proposed. The method identifies the particle shape first and determines their chemical composition later, saving EDS analytical time. Our approach was tested on four asbestos standards and the relative error on replicated measurements was < 10%. The proposed unattended method quantifies asbestos in natural confounding matrix, also with a very low asbestos content.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article