Classification of Asbestos and Their Nonasbestiform Analogues Using FTIR and Multivariate Data Analysis

Details

• Personal Author:
  Lee T ; Mischler, Steven E. ; Wolfe C
• Description:
  This study presents a possible application of Fourier transform infrared (FTIR) spectrometry and multivariate data analysis, principal component analysis (PCA), and partial least squares-discriminant analysis (PLS-DA) for classifying asbestos and their nonasbestiform analogues. The objectives of the study are: 1) to classify six regulated asbestos types and 2) to classify between asbestos types and their nonasbestiform analogues. The respirable fraction of six regulated asbestos types and their nonasbestiform analogues were prepared in potassium bromide pellets and collected on polyvinyl chloride membrane filters for FTIR measurement. Both PCA and PLS-DA classified asbestos types and their nonasbestiform analogues on the score plots showed a very distinct clustering of samples between the serpentine (chrysotile) and amphibole groups. The PLS-DA model provided approx. 95% correct prediction with a single asbestos type in the sample, although it did not provide all correct predictions for all the challenge samples due to their inherent complexity and the limited sample number. Further studies are necessary for a better prediction level in real samples and standardization of sampling and analysis procedures. [Description provided by NIOSH]
• Subjects:
  Asbestos Inorganic Chemicals Occupational Health Safety
• Keywords:
  Analytical Processes Author Keywords: Asbestos Classification Direct-reading Methods FTIR Infrared Spectroscopy Materials Testing Partial Least Squares-discriminant Analysis Principal Component Analysis
• Series:
  Mining Publications
• ISSN:
  0304-3894
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PMRD - Pittsburgh Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  469
• NIOSHTIC Number:
  nn:20069361
• Citation:
  J Hazard Mater 2024 May; 469:133874
• Contact Point Address:
  Health Hazards Prevention Branch, Pittsburgh Mining Research Division, National Institute for Occupational Safety and Health, 626 Cochrans Mill Road, Pittsburgh, PA 15236, USA
• Email:
  fwc8@cdc.gov
• CAS Registry Number:
  Asbestos (CAS RN 1332-21-4)
• Federal Fiscal Year:
  2024
• Peer Reviewed:
  True
• Source Full Name:
  Journal of Hazardous Materials
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:c01678e15a10e347b59967c4d447a5ce6106edb8b137e200b914a437232eacc039b9324e0bc0624729c70552acd9e756b3961762b9c21493faf3a1eb17dcea72
• Download URL:
  https://stacks.cdc.gov/view/cdc/215700/cdc_215700_DS1.pdf
• File Type:
  [PDF - 2.41 MB ]