an official journal of: published by:
Editor in Chief: RAFFAELLO COSSU

MICRO X-RAY FLUORESCENCE IMAGING COUPLED WITH CHEMOMETRICS TO DETECT AND CLASSIFY ASBESTOS FIBERS IN DEMOLITION WASTE

  • Silvia Serranti - DICMA, Department of Chemical Engineering, Materials and Environment, Sapienza - University of Rome, Italy
  • Giuseppe Capobianco - DICMA, Department of Chemical Engineering, Materials and Environment, Sapienza - University of Rome, Italy
  • Sergio Malinconico - Department of new technologies for occupational safety of industrial plants, products and anthropic settlements, National Institute for Insurance against Accidents at Work, Italy
  • Giuseppe Bonifazi - DICMA, Department of Chemical Engineering, Materials and Environment, Sapienza - University of Rome, Italy

DOI 10.31025/2611-4135/2020.14007

Released under CC BY-NC-ND

Copyright: © 2019 CISA Publisher

Editorial History

  • Received: 21 Nov 2019
  • Revised: 28 Mar 2020
  • Accepted: 06 May 2020
  • Available online: 30 Sep 2020

Abstract

Asbestos was largely used in the past by several countries all over the world. From 1900 to 1990 asbestos-containing materials (ACMs) were produced in large amounts and mainly utilized for the production of insulation, flame retardant materials, as well as to improve the mechanical and the chemical characteristics of construction materials. Its extensive use has therefore led to the presence of fibers in existing buildings and within the construction and demolition waste. A fast, reliable and accurate recognition of ACMs represents an important target to be reached. In this paper the use of micro X-ray fluorescence (micro-XRF) technique coupled with a statistical multivariate approach was applied and discussed with reference to ACMs characterization. Different elemental maps of the ACMs were preliminary acquired in order to evaluate distribution and composition of asbestos fibers, then samples energy spectra where collected and processed using chemometric methods to perform an automatic classification of the different typologies of asbestos fibers. Spectral data were analyzed using PLS-Toolbox™ (Eigenvector Research, Inc.) running into Matlab® (The Mathworks, Inc.) environment. An automatic classification model was then built and applied. Results showed that asbestos fibers were correctly identified and classified according to their chemical composition. The proposed approach, based on micro-XRF analysis combined with an automatic classification of the elemental maps, is not only effective and non-destructive, it is fast and it does not require the presence of a trained operator. The application of the developed methodology can help to correctly characterize and manage demolition waste where ACMs are present.

Keywords


References

Bassani, C., Cavalli, R. M., Cavalcante, F., Cuomo, V., Palombo, A., Pascucci, S., & Pignatti, S. (2007). Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data. Remote Sensing of Environment, 109(3), 361-378

Bonifazi, G., Capobianco, G., & Serranti, S. (2015, November). Hyperspectral imaging applied to the identification and classification of asbestos fibers. In 2015 IEEE SENSORS (pp. 1-4). IEEE

Bonifazi, G., Capobianco, G., & Serranti, S. (2018). Asbestos containing materials detection and classification by the use of hyperspectral imaging. Journal of hazardous materials, 344, 981-993

Brereton, R. G. (2003). Chemometrics: data analysis for the laboratory and chemical plant. John Wiley & Sons

Bro R. and Smilde A. K. (2014). Principal component analysis. Analytical Methods, 6(9), 2812-2831

Capobianco, G., Brunetti, P., Bonifazi, G., Costantino, P., Cardarelli, M., & Serranti, S. (2018). The use of micro-energy dispersive X-ray fluorescence spectrometry (μ-XRF) combined with a multivariate approach to determine element variation and distribution in tobacco seedlings exposed to arsenate. Spectrochimica Acta Part B: Atomic Spectroscopy, 147, 132-140

Capobianco, G., Pelosi, C., Agresti, G., Bonifazi, G., Santamaria, U., & Serranti, S. (2018). X-ray fluorescence investigation on yellow pigments based on lead, tin and antimony through the comparison between laboratory and portable instruments. Journal of Cultural Heritage, 29, 19-29

Celli, G. B., Selig, M. J., Tan, C., & Abbaspourrad, A. (2018). Synergistic Bathochromic and Hyperchromic Shifts of Anthocyanin Spectra Observed Following Complexation with Iron Salts and Chondroitin Sulfate. Food and bioprocess technology, 11(5), 991-1001

Colangelo, F., Cioffi, R., Lavorgna, M., Verdolotti, L., & De Stefano, L. (2011). Treatment and recycling of asbestos-cement containing waste. Journal of hazardous materials, 195, 391-397

De Stefano, L., Cioffi, R., & Colangelo, F. (2012). Comparison between two FT-IR spectroscopy analytical procedures for micrograms determination of asbestos species in bulk materials. American Journal of Analytical Chemistry, 3(01), 1

Dhara, S., Misra, N. L., Maind, S. D., Kumar, S. A., Chattopadhyay, N., & Aggarwal, S. K. (2010). Forensic application of total reflection X-ray fluorescence spectrometry for elemental characterization of ink samples. Spectrochimica Acta Part B: Atomic Spectroscopy, 65(2), 167-170

Dresselhaus, T. R., Luck, J., & Peabody, J. W. (2002). The ethical problem of false positives: a prospective evaluation of physician reporting in the medical record. Journal of medical ethics, 28(5), 291-294

Figueroa, R. G., Lozano, E., Belmar, F., Alcaman, D., Bohlen, A., Oliveira, C. A. B., Silva, A.L.M. & Veloso, J.F.C.A. (2014). Characteristics of a robust and portable large area X‐ray fluorescence imaging system. X‐Ray Spectrometry, 43(2), 126-130

Fletcher, R. H., Fletcher, S. W., & Fletcher, G. S. (2012). Clinical epidemiology: the essentials. Lippincott Williams & Wilkins

Gandolfi, N. B., Gualtieri, A. F., Pollastri, S., Tibaldi, E., & Belpoggi, F. (2016). Assessment of asbestos body formation by high resolution FEG–SEM after exposure of Sprague–Dawley rats to chrysotile, crocidolite, or erionite. Journal of hazardous materials, 306, 95-104

Gualtieri, A.F. (Eds.), EMU Notes in Mineralogy, Mineral fibres: crystal chemistry, chemical-physical properties, biological interaction and toxicity, Volume 18, 2017, 7-9

Guerra, M. B. B., Schaefer, C. E., de Carvalho, G. G., de Souza, P. F., Júnior, D. S., Nunes, L. C. and Krug, F. J. (2013). Evaluation of micro-energy dispersive X-ray fluorescence spectrometry for the analysis of plant materials. Journal of Analytical Atomic Spectrometry, 28(7), 1096-1101

Harper, M., Lee, E. G., Doorn, S. S., & Hammond, O. (2008). Differentiating non-asbestiform amphibole and amphibole asbestos by size characteristics. Journal of occupational and environmental hygiene, 5(12), 761-770

INAIL, (2010). Linee guida generali da adottare durante le attività di bonifica da amianto nei siti da bonificare di interesse nazionale, (https://www.inail.it/cs/internet/docs/decalogo_bonifiche_amianto_2010-pdf.pdf?section=attivita)

INAIL, (2020), Fact sheet: riconoscimento e caratterizzazione di materiali contenenti amianto mediante microfluorescenza a raggi X. ISBN 978-88-7484-176-9

Krafft, C., Shapoval, L., Sobottka, S. B., Geiger, K. D., Schackert, G., & Salzer, R. (2006). Identification of primary tumors of brain metastases by SIMCA classification of IR spectroscopic images. Biochimica et Biophysica Acta (BBA)-Biomembranes, 1758(7), 883-891

Lage‐Castellanos, A., Martínez‐Montes, E., Hernández‐Cabrera, J. A., & Galán, L. (2010). False discovery rate and permutation test: an evaluation in ERP data analysis. Statistics in medicine, 29(1), 63-74

Lee, R. J., Strohmeier, B. R., Bunker, K. L., & Van Orden, D. R. (2008). Naturally occurring asbestos—a recurring public policy challenge. Journal of Hazardous materials, 153(1-2), 1-21

Lewis, I. R., Chaffin, N. C., Gunter, M. E., & Griffiths, P. R. (1996). Vibrational spectroscopic studies of asbestos and comparison of suitability for remote analysis. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 52(3), 315-328

Linnet, K., Bossuyt, P. M., Moons, K. G., & Reitsma, J. B. (2012). Quantifying the accuracy of a diagnostic test or marker. Clinical chemistry, 58(9), 1292-1301

Monico, L., Van der Snickt, G., Janssens, K., De Nolf, W., Miliani, C., Verbeeck, J., ... & Cotte, M. (2011). Degradation process of lead chromate in paintings by Vincent van Gogh studied by means of synchrotron X-ray spectromicroscopy and related methods. 1. Artificially aged model samples. Analytical chemistry, 83(4), 1214-1223

Nakanishi, T., Nishiwaki, Y., Miyamoto, N., Shimoda, O., Watanabe, S., Muratsu, S., ... & Suzuki, S. (2008). Lower limits of detection of synchrotron radiation high-energy X-ray fluorescence spectrometry and its possibility for the forensic application for discrimination of glass fragments. Forensic science international, 175(2-3), 227-234

Nieuwoudt, H. H., Prior, B. A., Pretorius, I. S., Manley, M., & Bauer, F. F. (2004). Principal component analysis applied to Fourier transform infrared spectroscopy for the design of calibration sets for glycerol prediction models in wine and for the detection and classification of outlier samples. Journal of agricultural and food chemistry, 52(12), 3726-3735

Nikonow, W. and Rammlmair, D. (2016). Risk and benefit of diffraction in Energy Dispersive X-ray fluorescence mapping. Spectrochimica Acta Part B: Atomic Spectroscopy, 125, 120-126

Olsen, N. J., Franklin, P. J., Reid, A., de Klerk, N. H., Threlfall, T. J., Shilkin, K., & Musk, B. (2011). Increasing incidence of malignant mesothelioma after exposure to asbestos during home maintenance and renovation. Medical Journal of Australia, 195(5), 271-274

Oust, A., Møretrø, T., Kirschner, C., Narvhus, J. A., & Kohler, A. (2004). FT-IR spectroscopy for identification of closely related lactobacilli. Journal of Microbiological Methods, 59(2), 149-162

Paglietti, F., Malinconico, S., Conestabile della Staffa, B., Bellagamba, S., & De Simone, P. (2016). Classification and management of asbestos-containing waste: European legislation and the Italian experience. Waste management, 50, 130-150

Paunesku, T., Vogt, S., Maser, J., Lai, B., & Woloschak, G. (2006). X‐ray fluorescence microprobe imaging in biology and medicine. Journal of cellular biochemistry, 99(6), 1489-1502

Petriglieri, J. R., Salvioli‐Mariani, E., Mantovani, L., Tribaudino, M., Lottici, P. P., Laporte‐Magoni, C., & Bersani, D. (2015). Micro‐Raman mapping of the polymorphs of serpentine. Journal of Raman Spectroscopy, 46(10), 953-958

Pronti, L., Felici, A. C., Alesiani, M., Tarquini, O., Bracciale, M. P., Santarelli, M. L., ... & Piacentini, M. (2015). Characterisation of corrosion layers formed under burial environment of copper-based Greek and Roman coins from Pompeii. Applied Physics A, 121(1), 59-68

Rosi, F., Miliani, C., Borgia, I., Brunetti, B., & Sgamellotti, A. (2004). Identification of nineteenth century blue and green pigments by in situ x‐ray fluorescence and micro‐Raman spectroscopy. Journal of Raman Spectroscopy, 35(8‐9), 610-615

Sharma, D., Yadav, U. B., & Sharma, P. (2009). The concept of sensitivity and specificity in relation to two types of errors and its application in medical research. Journal of Reliability and Statistical studies, 2(2), 53-58

Tsuji, K., Injuk, J., & Van Grieken, R. (Eds.). (2005). X-ray spectrometry: recent technological advances. John Wiley & Sons

Valouma, A., Verganelaki, A., Tetoros, I., Maravelaki-Kalaitzaki, P., & Gidarakos, E. (2017). Magnesium oxide production from chrysotile asbestos detoxification with oxalic acid treatment. Journal of hazardous materials, 336, 93-100

Varkey, B. (1983). Asbestos exposure: An update on pleuropulmonary hazards. Postgraduate medicine, 74(4), 93-103

Virta, R. L. (2005). Mineral Commodity Profiles, Asbestos (p. 56). Circular 1255-KK. Reston, VA: US Geological Survey

Walton, W. H. (1982). The nature, hazards and assessment of occupational exposure to airborne asbestos dust: a review. The Annals of occupational hygiene, 25(2), 117-119

Yoshikawa, N., Kashimura, K., Hashiguchi, M., Sato, M., Horikoshi, S., Mitani, T., & Shinohara, N. (2015). Detoxification mechanism of asbestos materials by microwave treatment. Journal of hazardous materials, 284, 201-206

Zhai, W., Wang, Y., Deng, Y., Gao, H., Lin, Z., & Li, M. (2014). Recycling of asbestos tailings used as reinforcing fillers in polypropylene based composites. Journal of hazardous materials, 270, 137-143


nov
18
nov
16