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Applying Sensors for Assessment of Occupational Exposures in Epidemiological Studies: Evaluation of Sensors and Preliminary Findings

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  • Personal Author:
  • Description:
    Introduction: Low cost sensors have potential for occupational exposure assessment by providing information on exposure profiles rather than time weighted averages (TWA). High resolution exposure data may advance our knowledge on how exposure patterns may affect (acute) health. We aimed to develop and deploy a multi-sensor box for assessing working life exposures (exposure at and outside work) during a working week in a case study on respiratory health as part of the EU Exposome Project for Health and Occupational Research (EPHOR) project. Material and Methods: A multi-exposure sensor box (particulate matter (PM), noise, light, UV and temperature) has been developed and is currently being deployed with the aim to assess exposures during a working week in relation to acute respiratory health among 300 mild asthma patients. The sensors were evaluated against conventional equipment separately. Several PM sensors were co-located in different occupational settings with gravimetric samplers and the Aerodynamic Particle Sizer (APS). Sensors for noise, light, UV and temperature were tested against conventional instruments in various environmental settings. Results and Conclusions: Low-cost PM sensors and the APS correlated reasonably well in different occupational settings (high-resolution data) (R2=0.4-0.6). Comparing the low-cost PM2.5 mass concentration from the sensors with the respirable gravimetric results (TWA) showed a moderate correlation (R2approx.0.5). A semi-quantitative comparison of TWA exposures with PM mass concentrations showed higher correlations (R2>0.75). A method for calibrating the PM sensor results to reflect different workplace and nonworkplace aerosols is being developed. The noise, light, UV and temperature sensors demonstrated R2 values of 0.9 and above with reference monitors in laboratory or field comparisons. Calibration equations have been developed based on these relationships. Along with the evaluation results of the different sensors, the preliminary results of the multi sensor box among approx. 25 case study subjects will be presented. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • Series:
  • ISSN:
    1351-0711
  • Document Type:
  • Genre:
  • Place as Subject:
  • CIO:
  • Division:
  • Topic:
  • Location:
  • Volume:
    80
  • NIOSHTIC Number:
    nn:20070254
  • Citation:
    Occup Environ Med 2023 Mar; 80(Suppl 1):A67-A68
  • Federal Fiscal Year:
    2023
  • Peer Reviewed:
    False
  • Source Full Name:
    Occupational and Environmental Medicine. 29th International Symposium on Epidemiology in Occupational Health (EPICOH 2023), March 14-17, 2023, Mumbai, India
  • Supplement:
    1
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:9b3fa849a3169400fcd5389d32de57195d83190a07284e76bd03ed6eb5c452bb90759a94288d2e08dd594771cf2e1583df21b4999001c3f0638cd2e7136673f8
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  • File Type:
    Filetype[PDF - 63.65 KB ]
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