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Comparing Airborne Particulate Matter Intake Dose Assessment Models Using Low-Cost Portable Sensor Data.

Rok Novak1,2, David Kocman1, Johanna Amalia Robinson1,2

  • 1Department of Environmental Sciences, Jožef Stefan Institute, 1000 Ljubljana, Slovenia.

Sensors (Basel, Switzerland)
|March 8, 2020
PubMed
Summary

Low-cost sensors and activity monitors can estimate personal particulate matter (PM) intake dose. Models using heart rate data provided more consistent results for assessing PM exposure and its variations.

Keywords:
dose assessmentlow-cost sensorsminute ventilationparticulate matteruncertainty assessment

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Area of Science:

  • Environmental Health
  • Exposure Science
  • Sensor Technology

Background:

  • Personal particulate matter (PM) intake dose assessment is crucial for understanding health risks.
  • Improving the temporal and spatial resolution of PM intake dose measurements is needed.
  • Low-cost sensors offer a potential solution for enhanced personal exposure monitoring.

Purpose of the Study:

  • To evaluate the effectiveness of low-cost sensors and personal activity monitors in assessing individual particulate matter (PM) intake dose.
  • To compare different modeling approaches for calculating PM intake dose, incorporating heart rate as a proxy for minute ventilation.
  • To assess the uncertainty propagation within these intake dose models.

Main Methods:

  • Utilized personal activity monitors to measure heart rate (as a proxy for minute ventilation).
  • Employed low-cost PM sensors to measure ambient PM concentrations.
  • Assessed intake dose using four models of increasing complexity, incorporating PM concentration and minute ventilation estimates.

Main Results:

  • Models incorporating heart rate data demonstrated consistent results and responded well to variations in PM concentrations and heart rate.
  • Models using generalized population data for minute ventilation yielded less precise intake dose information.
  • Aggregated weekly intake doses showed minor variations (6-22%) across models, but uncertainty assessment was challenging due to differing assumptions.

Conclusions:

  • Heart rate-based models offer a promising approach for more accurate personal PM intake dose assessment.
  • Minute ventilation models significantly contribute to overall intake dose model uncertainty.
  • Further research is needed to establish common methodologies for intake dose assessment and uncertainty quantification.