Correlating Auger Electron Spectroscopy with Scanning Electron Microscopy-Energy Dispersive Spectroscopy for the Analysis of Respirable Particles

Details

• Personal Author:
  Harrison JC ; Stephens JW ; Wallace WE
• Description:
  A method has been developed to characterize large populations of individual respirable particles. With the use of custom data collection and data correlation computer software, the same set of particles can be analyzed in multiple instruments. The method is demonstrated by the analysis of a sample of hard-metal particles. A series of particles are analyzed by Auger electron spectroscopy, and then the same particles are analyzed by scanning electron microscopy-energy dispersive spectroscopy. [Description provided by NIOSH]
• Subjects:
  Computers Dust Electrical Equipment And Supplies Occupational Health Respiratory System Safety Software
• Keywords:
  Author Keywords: Auger Electron Spectroscopy Computer-equipment Computer-models Computer-software Data-processing Data Analysis, Respirable Particles Electronic-components Electronic-devices Electronic-equipment Hard-metal Hard-metal-disease Hard-metals Respirable-dust Respiration Scanning Electron Microscopy Spectroscopes

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• ISSN:
  0161-0457
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  302-310
• Volume:
  20
• NIOSHTIC Number:
  nn:20025228
• Citation:
  Scanning 1998 Apr; 20:302-310
• Contact Point Address:
  James W Stephens, NIOSH, 1095 Willowdale Road, Morgantown, WV 26505, USA
• Federal Fiscal Year:
  1998
• Peer Reviewed:
  False
• Source Full Name:
  Scanning
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:3390f69c59221151aca743f81ae185a56cb9394cafb01e4287c33c1971b19c8a18f38919ef43c7ab6e639835092da5a36056257eadf43315475af0f6a5de0456
• Download URL:
  https://stacks.cdc.gov/view/cdc/196694/cdc_196694_DS1.pdf
• File Type:
  [PDF - 342.12 KB ]