Literature DB >> 34215125

Real-time quantitative detection of styrene in atmosphere in presence of other volatile-organic compounds using a portable device.

Francesco Radica1, Giancarlo Della Ventura2, Luca Malfatti3, Mariangela Cestelli Guidi4, Annalisa D'Arco5, Antonio Grilli4, Augusto Marcelli6, Plinio Innocenzi7.   

Abstract

Exposure to styrene is a major safety concern in the fibreglass processing industry. This compound is classified by the International Agency for Research on Cancer as a possible human carcinogen. Several types of analytical equipment exist for detecting volatile organic compounds (VOCs) in the atmosphere; however, most of them operate ex-situ or do not provide easy discrimination between different molecules. This work introduces an improved and portable method based on FTIR spectroscopy to analyse toxic gaseous substances in working sites down to a concentration of less than 4 ppm. Styrene and a combination of VOCs typically associated with it in industrial processes, such as acetone, ethanol, xylene and isopropanol, have been used to calibrate and test the methodology. The results demonstrate that the technique offers the possibility to discriminate between different gaseous compounds in the atmosphere with a high degree of confidence and obtain very accurate quantitative information on their concentration, down to the ppm level, even when different VOCs are present in a mixture.
Copyright © 2021 Elsevier B.V. All rights reserved.

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Keywords:  Environmental sensors; Infrared spectroscopy; Volatile organic compounds

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Year:  2021        PMID: 34215125     DOI: 10.1016/j.talanta.2021.122510

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  High Sensitivity Monitoring of VOCs in Air through FTIR Spectroscopy Using a Multipass Gas Cell Setup.

Authors:  Annalisa D'Arco; Tiziana Mancini; Maria Chiara Paolozzi; Salvatore Macis; Lorenzo Mosesso; Augusto Marcelli; Massimo Petrarca; Francesco Radica; Giovanna Tranfo; Stefano Lupi; Giancarlo Della Ventura
Journal:  Sensors (Basel)       Date:  2022-07-27       Impact factor: 3.847

  1 in total

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