Exposure to asbestos fibres is related to a number of severe lung diseases, and therefore, rapid, accurate and reliable in situ or on-site asbestos detection in real-life samples is of considerable importance. This work presents a comprehensive investigation of all six types of asbestos by mid-infrared ATR-FTIR, NIR spectroscopy and Raman microspectroscopy. Our studies demonstrate that for practical applications, NIR spectroscopy is potentially the most powerful method for asbestos identification in materials utilised by the construction industry. By focusing on the narrow spectral region, 7300-7000 cm-1 (~1370-1430 nm, overtones of O-H vibrations), which is highly specific to these materials, and optimising the sensitivity and resolution o...
Diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy is a well-known technique for t...
Asbestos recognition, inside different matrices (i.e. Asbestos Containing Materials: ACMs), is of gr...
The aim of the work was to develop a non-destructive, accurate and rapid method able to recognize di...
Current methods for the detection and quantitation of airborne asbestos are either tedious, time con...
abstract: In this work, an IR technique has been developed to identify the presence of the different...
Our research purpose is to build up new and efficient methods to quantitate amounts of air-borne asb...
Inorganic fibres especially asbestos have been widely used as a raw material in the construction ind...
Asbestos is a naturally occurring mineral that, for its characteristics in terms of heat resistance,...
Asbestos inhalation is associated with fatal respiratory diseases and raises concerns from the persp...
Vibrational spectroscopies (Fourier Transform Infra Red, FTIR, and Raman) are exceptionally valuable...
Vibrational spectroscopies (Fourier Transform Infra Red, FTIR, and Raman) are exceptionally valuable...
This study of ATR-IR involved taking spectra of various silicate minerals in powder samples, finding...
In this paper the possibility to implement fast, low cost and reliable strategies addressed to recog...
Raman spectroscopy was assessed for its ability to rapidly identify asbestos phases by submitting th...
HyperSpectral Imaging (HSI) is a powerful technique suitable to develop analytical protocols for mat...
Diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy is a well-known technique for t...
Asbestos recognition, inside different matrices (i.e. Asbestos Containing Materials: ACMs), is of gr...
The aim of the work was to develop a non-destructive, accurate and rapid method able to recognize di...
Current methods for the detection and quantitation of airborne asbestos are either tedious, time con...
abstract: In this work, an IR technique has been developed to identify the presence of the different...
Our research purpose is to build up new and efficient methods to quantitate amounts of air-borne asb...
Inorganic fibres especially asbestos have been widely used as a raw material in the construction ind...
Asbestos is a naturally occurring mineral that, for its characteristics in terms of heat resistance,...
Asbestos inhalation is associated with fatal respiratory diseases and raises concerns from the persp...
Vibrational spectroscopies (Fourier Transform Infra Red, FTIR, and Raman) are exceptionally valuable...
Vibrational spectroscopies (Fourier Transform Infra Red, FTIR, and Raman) are exceptionally valuable...
This study of ATR-IR involved taking spectra of various silicate minerals in powder samples, finding...
In this paper the possibility to implement fast, low cost and reliable strategies addressed to recog...
Raman spectroscopy was assessed for its ability to rapidly identify asbestos phases by submitting th...
HyperSpectral Imaging (HSI) is a powerful technique suitable to develop analytical protocols for mat...
Diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy is a well-known technique for t...
Asbestos recognition, inside different matrices (i.e. Asbestos Containing Materials: ACMs), is of gr...
The aim of the work was to develop a non-destructive, accurate and rapid method able to recognize di...