I can supply a Word document of references to studies involving either PurpleAir or Plantower sensors. I tried to upload it just now but got a message that it was not one of the allowed extensions, such as .jpg. So here is the whole thing. These are only references that I have used in my five or six papers on PurpleAir studies.
I should state that I have a much larger file with many more full papers. I could make that available if there is any interest.
AQ-SPEC (2016). http://www.aqmd.gov/docs/default-source/aq-spec/field-evaluations/purpleair---field-evaluation.pdf. Accessed Dec, 19, 2020.
Badura, M.; Batog, P.; Drzeniecka-Osiadacz, A.; Modzel, P. Evaluation of low-cost sensors for ambient PM2.5 monitoring. J. Sens. 2018, 2018, 5096540.
Barkjohn, K., Gantt, B., Clements A.L. Development and application of a United States wide correction for PM2.5 data collected with the PurpleAir sensor. Atmos Meas. Techniques 2020 4 (6):10.5194 https://doi.org/10.5194/amt-2020-413
Becnel, T., Tingey, K., Whitaker, J., Sayahi, T., Le, K., Goffin, P., Butterfield, A., Kelly, K., & Gaillardon, P.E. (2019). A distributed low-cost pollution monitoring platform. IEEE Internet of Things Journal 6 (6):10738-48.
Bi, J., A. Wildani, A., H.H. Chang, H. H., & Liu, Y. (2020). Incorporating low-cost sensor measurements into high-resolution PM2.5 modeling at a large spatial scale. Environmental Science & Technology Article ASA P .
Bi, J., Wallace, L. A., Sarnat, J. A., & Liu, Y. (2021). Characterizing outdoor infiltration and indoor contribution of PM2.5 with citizen-based low-cost monitoring data. Environmental Pollution , 276 , 116763.
Bulot, F.M.J., Johnston, S. J., Basford, P. J., Easton, N. H. C., Apetroaie-Cristea, M., Foster, G. L., Morris, A.K.R., Cox, S.J. & Loxham, M. (2019). Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment. Scientific Rep orts 9:7497. Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment | Scientific Reports.
Chen, L. J., Ho, Y-H., Lee, H-C., Wu, H-C., Liu, H-M., Hsieh, H-H., Huang Y-T., & Lung, S-C. C. (2017). An open framework for participatory PM2.5 monitoring in smart cities. IEEE Access 5, 14441–54. An Open Framework for Participatory PM2.5 Monitoring in Smart Cities | IEEE Journals & Magazine | IEEE Xplore. Accessed Dec. 18, 2020.
Delp, W.W. and Singer, B.C. (2020). Wildfire smoke adjustment factors for low-cost and professional PM2.5 monitors with optical sensors, Sensors 20:3685. doi:10.3390/s20133683
Francis, A.S., Chee, F. P., Chang, J.H.W., Sentian, J., Dayou, J., & Payus, C. M. (2019). Parametric model for estimation of mass concentration based on particle count distribution for ambient air monitoring. Journal of Physics: Conference Series 1358 012042. doi:10.1088/1742-6596/1358/1/012042.
Gupta, P., Doraiswamy, P., Levy, R., Pikelnaya, O., Maibach, J., Feenstra, B., et al. (2018). Impact of California fires on local and regional air quality: The role of a low-cost sensor network and satellite observations. GeoHealth, 2, 172–181. https://doi.org/10.1029/2018GH000136 Accessed Dec. 18, 2020.
He, M., Kuerbanjiang, N., &Dhaniyala, S. 2020. Performance characteristics of the low-cost Plantower PMS optical sensor. Aerosol Science and Technology 54 (2):232-241. doi: 10.1080/02786826.2019.1696015.
Kaduwela, A. P., Kaduwela, A.P., Jrade, E., Brusseau, M., Morris, S., Morris, J., & Risk, V. (2019). Development of a low-cost air sensor package and indoor air quality monitoring in a California middle school: Detection of a distant wildfire. Journal of the Air & Waste Management Association 69 (9):1015-1022.
Kelly, K.E., Whitaker, J., Petty, A., Widmer, C., Dybwad, A., Sleeth, D., Martin, R., & Butterfield, A. (2017). Ambient and laboratory evaluation of a low-cost particulate matter sensor. Environmental Pollution 221:491-500.
Klepeis, N.E.; Bellettiere, J.; Hughes, S.C.; Nguyen, B.; Berardi, V.; Liles, S.; Obayashi, S.; Hofstetter, C.R.; Blumberg, E.; Hovell, M.F. Fine particles in homes of predominantly low-income families with children and smokers: Key physical and behavioral determinants to inform indoor-air-quality interventions. PLoS ONE 2017, 12, e0177718. Fine particles in homes of predominantly low-income families with children and smokers: Key physical and behavioral determinants to inform indoor-air-quality interventions.
Levy Zamora, M., Xiong, F., Gentner, D., Kerkez, B., Kohrman-Glaser, J., &. Koehler, K. (2018). Field and laboratory evaluations of the low-cost plantower particulate matter sensor. Environmental Science and Technology. 53 (2), 838–49.
Liang, Y., Senguta, D., Campmier, M.J., Lunderberg, D. M ., Apte, J.S., and Goldstein, A. [Wildfire smoke impacts on indoor air quality assessed using crowdsourced data in California.](file:///C:/Users/Lance/Desktop/Wildfire%20smoke%20impacts%20on%20indoor%20air%20quality%20assessed%20using%20crowdsourced%20data%20in%20California ) PNAS 2021 118 (36) e2106478118 | https://doi.org/10.1073/pnas.2106478118
Magi, B.I., Cupini, C., Francis, J., Green, M., & Hauser, C. (2019). Evaluation of PM2.5 measured in an urban setting using a low-cost optical particle counter and a Federal Equivalent Method Beta Attenuation Monitor. Aerosol Science and Technology 54:147-159. doi:10.1080/02786826.2019.1619915.
Malings, C., anzer, R. Hauryliuk A., Saha, P. K.,Robinson, A. L.,Presto, A. A., & Subramanian, R. (2019). Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation. Aerosol Science and Technology,54:160-174. doi:10.1080/02786826.2019.1623863.
Masic, A., D. Bibic, D., & Pikula, B. (2019). On the applicability of low-cost sensors for measurements of aerosol concentrations, Proceedings of the 30th DAAAM International Symposium, pp.0452-0456, B. Katalinic (Ed.), Published by DAAAM International, ISBN 978-3-902734-22-8, ISSN 1726-9679, Vienna, Austria.
Morawska, L., Thai, P.K., Liu, X., Williams, R. Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone? Environment International 2018 , 116: 286-299,ISSN 0160-4120, https://doi.org/10.1016/j.envint.2018.04.018.
Plantower (2016) https://www.aqmd.gov/docs/default-source/aq-spec/resources-page/plantower-pms5003-manual_v2-3.pdf. Accessed Jan 17, 2020.
Sayahi, T., Butterfield, A., & Kelly, K.E. (2019). Long-term field evaluation of the Plantower PMS low-cost particulate matter sensors. Environmental Pollution 245:932-940.
Singer, B. C. & Delp, W.W. (2018). Response of consumer and research grade indoor air quality monitors to residential sources of fine particles. Indoor Air 28:624–639. https://doi.org/10.1111/ina.12463 Accessed Dec. 19, 2020.
Tryner, J., Quinn, C., Windom, B. C., & Volckens, J. (2019). Design and evaluation of a portable PM2.5 monitor
featuring a low-cost sensor in line with an active filter sampler. Environmental Science Processes and Impacts 21:1403-15*.*
US EPA (2017) https://www.epa.gov/air-sensor-toolbox/how-use-air-sensors-air-sensor-guidebook
Walker (2018). http://conference2018.resnet.us/data/energymeetings/presentations/RESNET2018_LBL_LowCostMonitors_walker.pdf. Accessed Dec. 19, 2020.
Wallace, L., Bi, J., Ott, W.R., Sarnat, J.A. and Liu, Y. Calibration of low-cost PurpleAir outdoor monitors using an improved method of calculating PM2.5. Atmospheric Environment 2021, 118432
Wallace, L.A., Ott, W.R. Zhao, T., Cheng, K-C, & Hildemann, L. (2020). Secondhand exposure from vaping marijuana: Concentrations, emissions, and exposures determined using both research-grade and low-cost monitors. Atmospheric Environment X https://doi.org/10.1016/j.aeaoa.2020.100093.
Wallace L, Zhao T, Klepeis N. Calibration of PurpleAir PA-I and PA-II monitors using daily mean PM2.5 concentrations measured in California, Washington, and Oregon from 2017 to 2021. Sensors 2022, 22(13), 4741; https://doi.org/10.3390/s22134741 Accessed July 6, 2022.
Wallace, L.A.; Zhao, T.; Klepeis, N.R. Indoor contribution to PM2.5 exposure using all PurpleAir sites in Washington, Oregon, and California. Indoor Air 2022, *32,*13105. https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.13105
Wallace, L. Intercomparison of PurpleAir Sensor Performance over Three Years Indoors and Outdoors at a Home: Bias, Precision, and Limit of Detection Using an Improved Algorithm for Calculating PM2.5. Sensors 2022, 22, 2755. Sensors | Free Full-Text | Intercomparison of PurpleAir Sensor Performance over Three Years Indoors and Outdoors at a Home: Bias, Precision, and Limit of Detection Using an Improved Algorithm for Calculating PM2.5. Accessed July 6, 2022.
Wang, K., Chen, F. E.,Au, W., Zhao, Z., & Xia, Z-L. (2019). Evaluating the feasibility of a personal particle exposure monitor in outdoor and indoor microenvironments in Shanghai, China. International Journal of Environmental Health Research. 29:209-20. doi:10.1080/09603123.2018.1533531.
Wang, Z., Delp, W. W., & Singer, B.C. (2020). Performance of low-cost indoor air quality monitors for PM2.5 and PM10 from residential sources. Building and Environment. https://doi.org/10.1016/j.buildenv.2020.106654. Accessed Dec. 19, 2020.
Williams, R., Vasu, K., Snyder, E., Kaufman, A., Dye, T., Rutter, A., Russell, A., & Hafner, H. (2014). Air Sensor Guidebook. U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-14/159 (NTIS PB2015-100610).
Zhao, T., Cheng, K-C, Ott, W.R., Wallace L.A., and Hildemann, L.M. (2020) Characteristics of secondhand cannabis smoke from common smoking methods: calibration factor, emission rate, and particle removal rate. Atmospheric Environment. https://doi.org/10.1016/j.atmosenv.2020.117731
Zheng, T., Bergin, M. H., Johnson, K. K., Tripathi, S. N., Shirodkar, S., Landis, M. S., Sutaria, R., & Carlson, D. E. (2018). Field evaluation of low-cost particulate matter sensors in high-and low-concentration environments. Atmospheric Measurement Techniques. 11 (8), 4823–4846. AMT - Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments.
Zusman, M., Schumacher, C.S., Gassett, A. J., Spalt, E.W., Austin, E., Larson, T.V., Arvlin, G. C., Seto, E., Kaufman, J.D., & Sheppard, L. (2020). Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study. Environment International 134:105329.