Use of linear solvation energy relationships for modeling responses from polymer-coated acoustic-wave vapor sensors

Details

• Personal Author:
  Hierlemann A ; Ricco AJ ; Zellers ET
• Description:
  The applicability and performance of linear solvation energy relationships (LSERs) as models of responses from polymer-coated acoustic-wave vapor sensors are critically examined. Criteria for the use of these thermodynamic models with thickness-shear-mode resonator (TSMR) and surface-acoustic-wave (SAW) vapor sensors are clarified. Published partition coefficient values derived from gas-liquid chromatography (GLC) are found to be consistently lower than those obtained gravimetrically, in accordance with previous reports, suggesting that LSERs based on GLC-derived partition coefficients will not provide accurate estimates of acoustic-wave sensor responses. The development of LSER models directly from polymer-coated TSMR vapor sensor response data is demonstrated and a revised model developed from SAW vapor sensor response data, which takes account of viscoelastic changes in polymeric coating films, is presented and compared to those developed by other methods. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety
• Keywords:
  Acoustics Chromatographic-analysis Gas-liquid-chromatography Gases Models Polymers Vapors
• ISSN:
  0003-2700
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Michigan ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  73
• Issue:
  14
• NIOSHTIC Number:
  nn:20042731
• Citation:
  Anal Chem 2001 Jul; 73(14):3458-3466
• Email:
  hierlema@iqe.phys.ethz.ch
• Federal Fiscal Year:
  2001
• Performing Organization:
  University of Michigan, Ann Arbor
• Peer Reviewed:
  True
• Start Date:
  20060601
• Source Full Name:
  Analytical Chemistry
• End Date:
  20060430
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:f4795120b72e6b9b9218a5ee5cab366245d86394149d7f1ae608aa99037be7ef261186ac0a44d6144cf2c04446beac8c895f8cbf4ce05b8ec3aae23279534ad6
• Download URL:
  https://stacks.cdc.gov/view/cdc/194865/cdc_194865_DS1.pdf
• File Type:
  [PDF - 102.55 KB ]