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. 2025;25(8):47.
doi: 10.1007/s44408-025-00048-4. Epub 2025 Aug 11.

Practical Guidance for Using PurpleAir Particle Monitors for Indoor and Outdoor Measurements in Community Field Studies

Affiliations

Practical Guidance for Using PurpleAir Particle Monitors for Indoor and Outdoor Measurements in Community Field Studies

Mingyu Wang et al. Aerosol Air Qual Res. 2025.

Abstract

Low-cost particle monitors have been widely evaluated in laboratory and ambient monitoring settings, but we have less knowledge about their performance for long-term indoor and outdoor monitoring in residential settings. We seek to provide practical guidance for using a type of low-cost particle monitors that have become widespread for indoor and outdoor monitoring in community field studies, PurpleAir PA-II monitors. We base our insights on experiences in a community-led residential field study in and around homes of predominantly agricultural workers in California's San Joaquin Valley. Our guidance spans three categories: (1) providing tools for handling and merging disparate data structures resulting from Wi-Fi-transmitted data and data collected on onboard microSD cards, (2) assessing performance metrics of PA-II monitors from laboratory co-location and field measurements, and (3) assessing data collection success rates of Wi-Fi data transmission and microSD card data acquisition from our study locations. The post-processing methods we demonstrate can successfully align data from both Wi-Fi transmission and microSD cards. Laboratory co-location measurements demonstrated that > 90% of the tested monitors performed well relative to each other (high precision), with only a few problematic monitors that warranted further investigation or exclusion from use. The application of co-location factors generated using the mean of all co-located monitors as a reference did not significantly affect distributions of field-measured indoor or outdoor PM2.5 concentrations. Relying solely on Wi-Fi data transmission in our study would have resulted in large data loss (i.e., < 50% success rate); using microSD card storage with PA-II-SD monitors increased the data collection success rate to over 80% in these settings. This work contributes to the growing body of knowledge on low-cost particle sensor performance and usability.

Supplementary information: The online version contains supplementary material available at 10.1007/s44408-025-00048-4.

Keywords: Data collection; Long-term indoor exposure assessments; Low-cost particle monitors; Performance; QA/QC.

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Conflict of interest statement

Competing InterestsThe authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Examples of custom wooden mounting structure for PA-II monitors deployed indoors (a and b) and outdoors (c and d) in our residential field study
Fig. 2
Fig. 2
Co-located PA-II monitors in a home garage setting (a and b) and a large research laboratory garage setting (c and d)
Fig. 3
Fig. 3
An example of data extracted via the Wi-Fi API
Fig. 4
Fig. 4
An example of data extracted from microSD card
Fig. 5
Fig. 5
Comparison of post-processed SD data and Wi-Fi extracted data
Fig. 6
Fig. 6
Histograms of slope and R2 of pm2.5_alt from each monitor with an arbitrary reference monitor (a and b) and the mean of monitors as a reference (c and d) for co-locations conducted in the intervention year
Fig. 7
Fig. 7
Field data capture rate of PA-II (Wi-Fi only) and PA-II-SD (Wi-Fi + SD) monitors, comparing data captured via Wi-Fi transmission, SD card storage, and the total data captured by the monitors. Plot is sorted by Wi-Fi data capture rate within each monitor type. FK = Fresno/Kings Counties; KE = Kern County
Fig. 8
Fig. 8
Histograms of PM2.5_alt measurements from laboratory co-location tests and field tests, both with and without co-location factors applied, combining all indoor and outdoor data together
Fig. 9
Fig. 9
Distributions of indoor and outdoor PM2.5_alt measurements and concurrent PM2.5_alt indoor/outdoor (I/O) ratios measured in the field study, comparing raw (without co-location factors) and adjusted (with co-location factors). Box plots exclude outliers for visual clarity

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