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Materials 2014, 7(1), 457-470;

Diffuse Reflectance Infrared Fourier Transform Spectroscopy for the Determination of Asbestos Species in Bulk Building Materials

Centro Direzionale Isola C4, Università di Napoli Parthenope, 80132 Napoli, Italy
INAIL-Direzione Regionale della Campania, Via Nuova Poggioreale, 80132 Napoli, Italy
CNR-IMM, Istituto per la Microelettronica e Microsistemi, Via Pietro Castellino 111, 80131 Napoli, Italy
INAIL-DIPIA Dipartimento Installazioni di Produzione ed Insediamenti Antropici, Via Urbana 167, 00184 Roma, Italy
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Received: 25 November 2013 / Revised: 9 December 2013 / Accepted: 7 January 2014 / Published: 16 January 2014
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Diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy is a well-known technique for thin film characterization. Since all asbestos species exhibit intense adsorptions peaks in the 4000–400 cm−1 region of the infrared spectrum, a quantitative analysis of asbestos in bulk samples by DRIFT is possible. In this work, different quantitative analytical procedures have been used to quantify chrysotile content in bulk materials produced by building requalification: partial least squares (PLS) chemometrics, the Linear Calibration Curve Method (LCM) and the Method of Additions (MoA). Each method has its own pros and cons, but all give affordable results for material characterization: the amount of asbestos (around 10%, weight by weight) can be determined with precision and accuracy (errors less than 0.1). View Full-Text
Keywords: asbestos; analytical chemistry; FTIR spectroscopy asbestos; analytical chemistry; FTIR spectroscopy
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Accardo, G.; Cioffi, R.; Colangelo, F.; d'Angelo, R.; De Stefano, L.; Paglietti, F. Diffuse Reflectance Infrared Fourier Transform Spectroscopy for the Determination of Asbestos Species in Bulk Building Materials. Materials 2014, 7, 457-470.

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