Wasim Javed This email address is being protected from spambots. You need JavaScript enabled to view it., Bing Guo

Mechanical Engineering Program, Texas A&M University at Qatar, Doha, Qatar


Received: November 16, 2020
Revised: January 21, 2021
Accepted: February 16, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.4209/aaqr.200631  

Cite this article:

Javed, W., Guo, B. (2021). Performance Evaluation of Real-time DustTrak Monitors for Outdoor Particulate Mass Measurements in a Desert Environment. Aerosol Air Qual. Res. https://doi.org/10.4209/aaqr.200631


  • Performance of DustTrak DRX® monitor was evaluated against gravimetric method.
  • DustTrak overestimated PM2.5 and underestimated PM10 concentrations
  • The humidity-adjusted correction outperforms the constant-proportion correction.
  • DustTrak sensor response depends on humidity, particle size and composition.
  • Appropriate correction factor for environment and particles of interest is needed.


This study aimed to evaluate the performance of the TSI DustTrak DRX® aerosol monitor against the filter-based gravimetric method and establish suitable correction factors in the real-world operating conditions for bias correction of this real-time monitor. Overall, the DustTrak DRX monitor demonstrated high precision but significant deviation from the reference method in measuring PM2.5 and PM10 concentrations. DustTrak DRX overestimated PM2.5 mass concentration by a factor of 2 and underestimated PM10 concentrations by about 20% compared to the gravimetric method. The acceptable correction accuracy of DustTrak measurements was obtained by a constant-proportion correction; however, the humidity-adjusted correction resulted in better measurement correction. The identified correction factors can be used for bias correction of the DustTrak monitors in a similar environment with similar aerosol properties to obtain more accurate aerosol measurements. The proposed correction models in this study could also guide other studies using various types of real-time optical monitors for their accurate field calibration and measurement data correction.

Keywords: Correction factor, Accuracy, Precision, Relative humidity, Particle composition

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