Innovative unattended SEM-EDS analysis for asbestos fiber quantification
| Autor: | Silvia Fraterrigo-Garofalo, Carlo Albonico, Chiara Avataneo, Francesco Turci, Roberto Compagnoni, Andrea Zanella, Roberto Cossio |
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| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Scanning electron microscope Asbestos detection limit Asbestos quantitative measurement Automatic image analysis Naturally occurring asbestos SEM-EDS Analytical Chemistry Chemistry (all) Biochemistry Spectroscopy 010502 geochemistry & geophysics medicine.disease_cause 01 natural sciences Asbestos Approximation error Asbestos fibers medicine Naturally occurring asbestos Sensitivity (control systems) 0105 earth and related environmental sciences Chemistry Analytical technique Filter (video) Particle Biological system |
| Zdroj: | Talanta. 190 |
| ISSN: | 1873-3573 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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