Articles | Volume 3, issue 2
https://doi.org/10.5194/ar-3-429-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ar-3-429-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of sampling frequency on low-cost PM sensor performance including short-term temporal events in high PM environments
Gulshan Kumar
Department of Design, Indian Institute of Technology Delhi, New Delhi 110016, India
Prasannaa Kumar D.
Department of Design, Indian Institute of Technology Delhi, New Delhi 110016, India
Saran Raj
Department of Design, Indian Institute of Technology Delhi, New Delhi 110016, India
Department of Design, Indian Institute of Technology Delhi, New Delhi 110016, India
Seshan Srirangarajan
Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India
Related subject area
Aerosol Measurements & Instrumentation (AMI)
Development and characterization of an aircraft inlet system for broader quantitative particle sampling at higher altitudes: aerodynamic lenses, beam and vaporizer diagnostics, and pressure-controlled inlets
The applicability and challenges of black carbon sensors in monitoring networks
Field-deployable cantilever-enhanced photoacoustic instrument for aerosol light absorption measurement at three wavelengths
The Centrifugal Differential Mobility Analyser – concept and initial validation of a new device for measuring 2D property distributions
Performance evaluation of four cascade impactors for airborne ultrafine-particle (UFP) collection: the influence of particle type, concentration, mass, and chemical nature
Validation of cantilever-enhanced photoacoustic particle-size-resolved light absorption measurement using nigrosin reference particles and Mie modelling
Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSAal) in ambient measurements with varying conditions
Influence of soot aerosol properties on the counting efficiency of instruments used for the periodic technical inspection of diesel vehicles
Direct detection of polycyclic aromatic hydrocarbons on a molecular composition level in summertime ambient aerosol via proton transfer reaction mass spectrometry
Reduced particle composition dependence in condensation particle counters
Performance evaluation of a semivolatile aerosol dichotomous sampler (SADS) for exposure assessment: impact of design issues
Extended aerosol optical depth (AOD) time series analysis in an Alpine valley: a comparative study from 2007 to 2023
A multi-instrumental approach for calibrating real-time mass spectrometers using high-performance liquid chromatography and positive matrix factorization
Opinion: Should high-resolution differential mobility analyzers be used in mainstream aerosol studies?
Pushing nano-aerosol measurements towards a new decade – technical note on the Airmodus particle size magnifier 2.0
Evaluation of a Partector Pro for atmospheric particle number size distribution and number concentration measurements at an urban background site
A novel measurement system for unattended, in situ characterization of carbonaceous aerosols
Optimized procedure for the determination of alkylamines in airborne particulate matter of anthropized areas
A new working fluid for condensation particle counters for use in sensitive working environments
Dongwook Kim, Pedro Campuzano-Jost, Hongyu Guo, Douglas A. Day, Da Yang, Suresh Dhaniyala, Leah Williams, Philip Croteau, John Jayne, Douglas Worsnop, Rainer Volkamer, and Jose L. Jimenez
Aerosol Research, 3, 371–404, https://doi.org/10.5194/ar-3-371-2025, https://doi.org/10.5194/ar-3-371-2025, 2025
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Quantitative real-time aerosol sampling on board aircraft platforms is challenging, especially at higher altitudes. Herein, we present comprehensive analyses of a new aircraft inlet system and tools for aerosol beam diagnostics for aerosol mass spectrometers (AMSs). The beam focusing of aerodynamic lenses and the thermal decomposition on the vaporizer were investigated. The new inlet system can be operated at higher altitudes while sampling aerosols over a broader size range than previous versions.
J. Tapio Elomaa, Krista Luoma, Sami D. Harni, Aki Virkkula, Hilkka Timonen, and Tuukka Petäjä
Aerosol Research, 3, 293–314, https://doi.org/10.5194/ar-3-293-2025, https://doi.org/10.5194/ar-3-293-2025, 2025
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Black carbon (BC) is a pollutant from combustion that affects the climate and is harmful to health. We tested four different small BC sensors with a reference in Helsinki. The sensors compared well with the reference. As a sensor network they were able to capture differences in BC. Changes in temperature (T) and relative humidity (RH) caused error in the measurements. To reduce the effects of T and RH on BC sensors, more robust boxes should be developed, or corrections should be applied.
Juho Karhu, Tommi Mikkonen, Joel Kuula, Aki Virkkula, Erkki Ikonen, Markku Vainio, Hilkka Timonen, and Tuomas Hieta
Aerosol Research, 3, 113–124, https://doi.org/10.5194/ar-3-113-2025, https://doi.org/10.5194/ar-3-113-2025, 2025
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We present a new photoacoustic instrument for simultaneous measurement of aerosol light absorption at multiple wavelengths. High performance is reached by using an optically read cantilever microphone, which allows for highly sensitive absorption measurements at a compact size. Performance in field conditions is demonstrated with black carbon monitoring at an air quality measurement station, where our results agree well with reference instruments deployed at the site.
Torben N. Rüther, David B. Rasche, and Hans-Joachim Schmid
Aerosol Research, 3, 65–79, https://doi.org/10.5194/ar-3-65-2025, https://doi.org/10.5194/ar-3-65-2025, 2025
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Aersols are important in many parts of industry and research. To learn more about aerosols, especially when they contain nanoparticles, the Centrifugal Differential Mobility Anlayser (CDMA) presented here allows us to measure the mobility-equivalent diameter and the Stokes equivalent diameter at the same time. The result is a 2D property distribution that provides deeper information about the entire particle collective than the isolated measurement principles.
Elisabeth Eckenberger, Andreas Mittereder, Nadine Gawlitta, Jürgen Schnelle-Kreis, Martin Sklorz, Dieter Brüggemann, Ralf Zimmermann, and Anke C. Nölscher
Aerosol Research, 3, 45–64, https://doi.org/10.5194/ar-3-45-2025, https://doi.org/10.5194/ar-3-45-2025, 2025
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We assessed the performance of four cascade impactors for collecting and analyzing organic markers in airborne ultrafine particles (UFPs) under lab and field conditions. The cutoff was influenced by the impactor design and aerosol mixture. Two key factors caused variations in mass concentrations: the evaporation of semi-volatile compounds and the "bounce-off" of larger particles and fragments. Our findings reveal the challenges of analyzing organic marker mass concentrations in airborne UFPs.
Joel Kuula, Juho Karhu, Tommi Mikkonen, Patrick Grahn, Aki Virkkula, Hilkka Timonen, Tuomas Hieta, and Markku Vainio
Aerosol Research, 3, 1–13, https://doi.org/10.5194/ar-3-1-2025, https://doi.org/10.5194/ar-3-1-2025, 2025
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We developed a new method to measure how particles absorb light as they change in size, which is critical for understanding their climate impact. Our approach uses a sensitive instrument that measures light absorption directly from particles in real time. By pairing this with a device that sorts particles by size, we achieved accurate size-resolved measurements. Our findings closely match theoretical models, offering a promising tool for future research into how particles influence climate.
Teemu Lepistö, Henna Lintusaari, Laura Salo, Ville Silvonen, Luis M. F. Barreira, Jussi Hoivala, Lassi Markkula, Jarkko V. Niemi, Jakub Ondracek, Kimmo Teinilä, Hanna E. Manninen, Sanna Saarikoski, Hilkka Timonen, Miikka Dal Maso, and Topi Rönkkö
Aerosol Research, 2, 271–289, https://doi.org/10.5194/ar-2-271-2024, https://doi.org/10.5194/ar-2-271-2024, 2024
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The performances of different particle lung-deposited surface area (LDSAal) measurement methods (Partector, ELPI+, SMPS/DMPS) were compared in ambient conditions. As LDSAal is a health-relevant metric and rather easy to utilise in air quality monitoring, it is crucial to know how the different methods agree, as there are clear differences in their operation. In all, a comparison of different methods can be complicated; still, the methods agree rather well in terms of local pollution (< 400 nm).
Tobias Hammer, Diana Roos, Barouch Giechaskiel, Anastasios Melas, and Konstantina Vasilatou
Aerosol Research, 2, 261–270, https://doi.org/10.5194/ar-2-261-2024, https://doi.org/10.5194/ar-2-261-2024, 2024
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More than 35 000 particle counters designed for the periodic technical inspection of diesel engine exhaust have been placed on the European market in the past few years. This work shows that the counting efficiency of these instruments depends on the properties of the test aerosols, even if all of them are combustion-based soot of similar mobility diameter. The aim of this study is to promote harmonisation of measurement procedures in the field of emission control.
Tobias Reinecke, Markus Leiminger, Andreas Klinger, and Markus Müller
Aerosol Research, 2, 225–233, https://doi.org/10.5194/ar-2-225-2024, https://doi.org/10.5194/ar-2-225-2024, 2024
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Condensed particulate polycyclic aromatic hydrocarbons (PAHs) are toxic compounds that may be detrimental to human health, even at low (sub-ng m-3) long-term exposure levels. The CHARON FUSION PTR-TOF 10k is capable of directly detecting PAHs on a chemical composition level at significantly lower mass concentrations. Herein, we report the time series of nine PAHs and identify three associated major sources and physicochemical processes for summertime aerosol in Innsbruck, Austria.
Peter J. Wlasits, Joonas Enroth, Joonas Vanhanen, Aki Pajunoja, Hinrich Grothe, Paul M. Winkler, and Dominik Stolzenburg
Aerosol Research, 2, 199–206, https://doi.org/10.5194/ar-2-199-2024, https://doi.org/10.5194/ar-2-199-2024, 2024
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We highlight that the composition dependence of the counting efficiency of condensation particle counters can be immensely reduced by choice of the working fluid. A butanol- and a propylene glycol-based version of the Airmodus A30 was calibrated using a set of four different seed particles. Our study shows that composition-dependent counting efficiencies almost vanish in the case of the propylene glycol-based CPC. Simulations of supersaturation profiles were used to explain the results.
Noredine Rekeb, Benjamin Sutter, Emmanuel Belut, Evelyne Géhin, and Raymond Olsen
Aerosol Research, 2, 183–198, https://doi.org/10.5194/ar-2-183-2024, https://doi.org/10.5194/ar-2-183-2024, 2024
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This study addresses challenges in semivolatile organic compound (SVOC) aerosol sampling. Despite its promise, experimental evaluations of the semivolatile aerosol dichotomous sampler (SADS) reveal issues with leakiness, assembly repeatability, and significant wall losses for particles larger than 2 µm. Findings suggest the need for improvements in airtightness, nozzle alignment, and assembly repeatability for the SADS to fulfil its theoretical potential in workplace exposure assessments.
Jochen Wagner, Alma Anna Ubele, Verena Schenzinger, and Axel Kreuter
Aerosol Research, 2, 153–159, https://doi.org/10.5194/ar-2-153-2024, https://doi.org/10.5194/ar-2-153-2024, 2024
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In this study, we explored how tiny particles in the air, known as aerosols, have changed over time in two mountainous areas in Austria and Switzerland from 2007 to 2023. By using special instruments that measure sunlight, we tracked these changes and found that the amount of aerosols has been decreasing in both locations. This is important because aerosols can affect both our health and the climate. This work is crucial for understanding air quality trends in mountain environments.
Melinda K. Schueneman, Douglas A. Day, Dongwook Kim, Pedro Campuzano-Jost, Seonsik Yun, Marla P. DeVault, Anna C. Ziola, Paul J. Ziemann, and Jose L. Jimenez
Aerosol Research, 2, 59–76, https://doi.org/10.5194/ar-2-59-2024, https://doi.org/10.5194/ar-2-59-2024, 2024
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Our study presents a novel method for quantifying mass spectrometer responses to molecular species in organic aerosols. Traditional calibrations often fail for complex mixtures like secondary organic aerosol. We combined chromatography with statistical component analysis to improve separation and quantification, achieving promising agreement with direct calibration. Our findings offer a new approach to assess aerosol composition, especially beneficial for complex mixtures.
Juan Fernandez de la Mora
Aerosol Research, 2, 21–30, https://doi.org/10.5194/ar-2-21-2024, https://doi.org/10.5194/ar-2-21-2024, 2024
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Differential mobility analyzers (DMAs) are widely used to measure aerosol size distributions. Here we argue that DMAs operating steadily at unusually high flow rates are not as complex as they appear and could be used with considerable advantage in many measurements currently carried out in conventional DMAs. We hope that the considerations presented will encourage DMA manufacturers to develop high-flow DMAs far more versatile yet comparable in complexity to today’s mainstream instruments.
Juha Sulo, Joonas Enroth, Aki Pajunoja, Joonas Vanhanen, Katrianne Lehtipalo, Tuukka Petäjä, and Markku Kulmala
Aerosol Research, 2, 13–20, https://doi.org/10.5194/ar-2-13-2024, https://doi.org/10.5194/ar-2-13-2024, 2024
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We present a novel version of an aerosol number size distribution instrument, showcasing its capability to measure particle number concentration and particle number size distribution between 1 and 12 nm. Our results show that the instrument agrees well with existing instrumentation and allows for both the accurate measurement of the smallest particles and overlap with more conventional aerosol number size distribution instruments.
Christof Asbach, Ana Maria Todea, and Heinz Kaminski
Aerosol Research, 2, 1–12, https://doi.org/10.5194/ar-2-1-2024, https://doi.org/10.5194/ar-2-1-2024, 2024
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The performance of the handheld Partector Pro has been evaluated against a reference mobility particle size spectrometer (MPSS) for 70 days at an urban background site. The number concentrations measured with the Partector Pro were in excellent and the number size distributions in reasonable agreement with the MPSS. The Partector Pro is thus a promising candidate for the widespread measurement of ultrafine particle concentrations as, for example, requested by WHO, at reasonable costs.
Alejandro Keller, Patrick Specht, Peter Steigmeier, and Ernest Weingartner
Aerosol Research, 1, 65–79, https://doi.org/10.5194/ar-1-65-2023, https://doi.org/10.5194/ar-1-65-2023, 2023
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Ultra-fine airborne carbon particles affect climate and health, but measuring them poses many challenges. This paper presents an innovative device called FATCAT that enables unattended and continuous measurement of these particles over extended periods of time. We detail FATCAT's performance, demonstrate its compatibility with established methods and introduce the unique feature of fast thermograms, a novel approach to further understand real-world samples containing carbonaceous particles.
Davide Spolaor, Lidia Soldà, Gianni Formenton, Marco Roverso, Denis Badocco, Sara Bogialli, Fazel A. Monikh, and Andrea Tapparo
Aerosol Research, 1, 29–38, https://doi.org/10.5194/ar-1-29-2023, https://doi.org/10.5194/ar-1-29-2023, 2023
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In remote environments, atmospheric amines are involved in new particle formation processes. In anthropized areas, they readily react to form secondary aerosol. These particles may have relevant environmental (climate) and health effects. Together with instrumental techniques for the on-line determination of these compounds (PTR-MS, AMS), the development of simple methods for their accurate quantification represents a scientific target aimed at by obtaining more significant environmental data.
Patrick Weber, Oliver F. Bischof, Benedikt Fischer, Marcel Berg, Jannik Schmitt, Gerhard Steiner, Lothar Keck, Andreas Petzold, and Ulrich Bundke
Aerosol Research, 1, 1–12, https://doi.org/10.5194/ar-1-1-2023, https://doi.org/10.5194/ar-1-1-2023, 2023
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The aerosol number concentration is essential information for aerosol science. A condensation particle counter (CPC) can robustly provide this information. Butanol is often used as a working fluid in a CPC. We could show that dimethyl sulfoxide (DMSO) behaves equivalently to butanol in terms of the instrument`s counting efficiency, cut-off diameter and concentration linearity. We tested this on different aerosols, including sodium chloride, ammonium sulfate and fresh combustion soot.
Cited articles
AQSPEC: Air quality sensor summary reports, AQ-SPEC (Air Quality Sensor Performance Evaluation Center), http://www.aqmd.gov/aq-spec/evaluations/summary-pm (last access: 1 November 2024), 2024. a
Balakrishnan, K., Sambandam, S., Ramaswamy, P., Mehta, S., and Smith, K. R.: Exposure assessment for respirable particulates associated with household fuel use in rural districts of Andhra Pradesh, India, J. Expo. Anal. Environ. Epidemiol., 14, S14–S25, 2004. a
Borghi, F., Fanti, G., Cattaneo, A., Campagnolo, D., Rovelli, S., Keller, M., Spinazzè, A., and Cavallo, D. M.: Estimation of the inhaled dose of airborne pollutants during commuting: Case study and application for the general population, Int. J. Env. Res. Pub. He., 17, 6066, https://doi.org/10.3390/ijerph17176066, 2020. a
Borghi, F., Spinazzè, A., Mandaglio, S., Fanti, G., Campagnolo, D., Rovelli, S., Keller, M., Cattaneo, A., and Cavallo, D. M.: Estimation of the inhaled dose of pollutants in different micro-environments: A systematic review of the literature, Toxics, 9, 140, https://doi.org/10.3390/toxics9060140, 2021. a
Chu, M. T., Gillooly, S. E., Levy, J. I., Vallarino, J., Reyna, L. N., Cedeño Laurent, J. G., Coull, B. A., and Adamkiewicz, G.: Real-time indoor PM2.5 monitoring in an urban cohort: Implications for exposure disparities and source control, Environ. Res., 193, 110561, https://doi.org/10.1016/j.envres.2020.110561, 2021. a
Das, P., Ghosh, S., Chatterjee, S., and De, S.: A low cost outdoor air pollution monitoring device with power controlled built-in PM sensor, IEEE Sens. J., 22, 13682–13695, 2022. a
Duvall, R., Clements, A., Hagler, G., Kamal, A., Kilaru, V., Goodman, L., Frederick, S., Barkjohn, K., VonWald, I., Greene, D., and Dye, T.: Performance testing protocols, metrics, and target values for fine particulate matter air sensors: use in ambient, outdoor, fixed site, non-regulatory supplemental and informational monitoring applications, US EPA Office of Research and Development, Washington, DC, EPA/600/R-20/280, 2021. a, b, c, d, e
Fadel, M., Ledoux, F., Seigneur, M., Oikonomou, K., Sciare, J., Courcot, D., and Afif, C.: Chemical profiles of PM2.5 emitted from various anthropogenic sources of the Eastern Mediterranean: Cooking, wood burning, and diesel generators, Environ. Res., 211, 113032, https://doi.org/10.1016/j.envres.2022.113032, 2022. a
Gilmore, E. A., Lave, L. B., and Adams, P. J.: The costs, air quality, and human health effects of meeting peak electricity demand with installed backup generators, Environ. Sci. Technol., 40, 6887–6893, 2006. a
Giordano, M. R., Malings, C., Pandis, S. N., Presto, A. A., McNeill, V. F., Westervelt, D. M., Beekmann, M., and Subramanian, R.: From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors, J. Aerosol Sci., 158, 105833, https://doi.org/10.1016/j.jaerosci.2021.105833, 2021. a
Gong Jr., H., Linn, W. S., Sioutas, C., Terrell, S. L., Clark, K. W., Anderson, K. R., and Terrell, L. L.: Controlled exposures of healthy and asthmatic volunteers to concentrated ambient fine particles in Los Angeles, Inhal. Toxicol., 15, 305–325, 2003. a
Greim, H.: Diesel engine emissions: are they no longer tolerable?, Arch. Toxicol., 93, 2483–2490, 2019. a
Gulia, S., Prasad, P., Goyal, S. K., and Kumar, R.: Sensor-based Wireless Air Quality Monitoring Network (SWAQMN) – A smart tool for urban air quality management, Atmos. Pollut. Res., 11, 1588–1597, 2020. a
Helbig, C., Ueberham, M., Becker, A. M., Marquart, H., and Schlink, U.: Wearable sensors for human environmental exposure in urban settings, Curr. Pollut. Rep., 7, 417–433, 2021. a
Honeywell: HPM Series Particulate Matter Sensors, Tech. rep., Honeywell International Inc., https://prod-edam.honeywell.com/content/dam/honeywell-edam/sps/siot/en-us/products/sensors/particulate-matter-sensors-hpm-series/documents/sps-siot-particulate-hpm-series-datasheet-32322550-ciid-165855.pdf (last access: 30 October 2024), 2024. a
Jain, S., Presto, A. A., and Zimmerman, N.: Spatial modeling of daily PM2.5, NO2, and CO concentrations measured by a low-cost sensor network: Comparison of linear, machine learning, and hybrid land use models, Environ. Sci. Technol., 55, 8631–8641, 2021. a
Jiao, W., Hagler, G., Williams, R., Sharpe, R., Brown, R., Garver, D., Judge, R., Caudill, M., Rickard, J., Davis, M., Weinstock, L., Zimmer-Dauphinee, S., and Buckley, K.: Community Air Sensor Network (CAIRSENSE) project: evaluation of low-cost sensor performance in a suburban environment in the southeastern United States, Atmos. Meas. Tech., 9, 5281–5292, https://doi.org/10.5194/amt-9-5281-2016, 2016. a
Kaur, K. and Kelly, K. E.: Laboratory evaluation of the Alphasense OPC-N3, and the Plantower PMS5003 and PMS6003 sensors, J. Aerosol Sci., 171, 106181, https://doi.org/10.1016/j.jaerosci.2023.106181, 2023. a
Koehler, K. A. and Peters, T. M.: New methods for personal exposure monitoring for airborne particles, Curr. Environ. Health Rep., 2, 399–411, 2015. a
Kumar, G., Kumar D., P., Raj, S., Dhariwal, J., and Srirangarajan, S.: prasannaad/Impact-of-Sampling-Frequency-on-Low-Cost-PM-Sensor-Performance-Data: Data_All (Data_All), Zenodo [data set], https://doi.org/10.5281/zenodo.14230696, 2024. a
Kumar, G., Kumar, D. P., Dhariwal, J., and Srirangarajan, S.: Reliability Assessment of Low-Cost PM Sensors under High Humidity and High PM Level Outdoor Conditions, arXiv [preprint], https://doi.org/10.48550/arXiv.2504.06615, 9 April 2025. a
Kumari, K., Kumar, S., Rajagopal, V., Khare, A., and Kumar, R.: Emission from open burning of municipal solid waste in India, Environ. Technol., 40, 2201–2214, 2019. a
Lipfert, F. W. and Wyzga, R. E.: On exposure and response relationships for health effects associated with exposure to vehicular traffic, J. Expo. Sci. Environ. Epidemiol., 18, 588–599, 2008. a
Liu, X., Jayaratne, R., Thai, P., Kuhn, T., Zing, I., Christensen, B., Lamont, R., Dunbabin, M., Zhu, S., Gao, J., Wainwright, D., Neale, D., Kan, R., Kirkwood, J., and Morawska, L.: Low-cost sensors as an alternative for long-term air quality monitoring, Environ. Res., 185, 109438, https://doi.org/10.1016/j.envres.2020.109438, 2020. a
Lung, S.-C. C., Wang, W.-C. V., Wen, T.-Y. J., Liu, C.-H., and Hu, S.-C.: A versatile low-cost sensing device for assessing PM2.5 spatiotemporal variation and quantifying source contribution, Sci. Total Environ., 716, 137145, https://doi.org/10.1016/j.scitotenv.2020.137145, 2020. a
Malings, C.: Integrating low-cost sensor systems and networks to enhance air quality applications, in: India Clean Air Summit (ICAS) 2024, World Meteorological Organization (WMO), https://library.wmo.int/idurl/4/68924 (last access: 1 November 2024), 2024. a
McKercher, G. R., Salmond, J. A., and Vanos, J. K.: Characteristics and applications of small, portable gaseous air pollution monitors, Environ. Pollut., 223, 102–110, 2017. a
Nordic Semiconductor: Power Profiler Kit II, Nordic Semiconductor, https://www.nordicsemi.com/Products/Development-hardware/Power-Profiler-Kit-2 (last access: 1 November 2024), 2024. a
Plantower: PMS7003 Series Data Manual, Tech. rep., Plantower, https://download.kamami.pl/p564008-PMS7003%20series%20data%20manua_English_V2.5.pdf (last access: 30 October 2024), 2024. a
Pope III, C. A. and Dockery, D. W.: Health effects of fine particulate air pollution: lines that connect, J. Air Waste Manag. Assoc., 56, 709–742, 2006. a
Roberts, F. A., Van Valkinburgh, K., Green, A., Post, C. J., Mikhailova, E. A., Commodore, S., Pearce, J. L., and Metcalf, A. R.: Evaluation of a new low-cost particle sensor as an internet-of-things device for outdoor air quality monitoring, J. Air Waste Manag. Assoc., 72, 1219–1230, 2022. a
Salvi, S., Blomberg, A., Rudell, B., Kelly, F., Sandström, T., Holgate, S. T., and Frew, A.: Acute inflammatory responses in the airways and peripheral blood after short-term exposure to diesel exhaust in healthy human volunteers, Am. J. Respir. Crit. Care Med., 159, 702–709, 1999. a
Sensirion: Low-Power Operation Of the SPS30 Particulate Matter Sensor, Sensirion AG, https://sensirion.com/media/documents/188A2C3C/6166F165/Sensirion_Particulate_Matter_AppNotes_SPS30_Low_Power_Operation_D1.pdf (last access: 1 November 2024), 2020. a
Sharma, D. and Jain, S.: Impact of intervention of biomass cookstove technologies and kitchen characteristics on indoor air quality and human exposure in rural settings of India, Environ. Int., 123, 240–255, 2019. a
Texas Instruments: TCA9548A Low-Voltage 8-Channel I2C Switch, Texas Instruments, https://www.ti.com/lit/ds/symlink/tca9548a.pdf?ts=1710275256813&ref_url=https%253A%252F%252Fwww.google.com%252F (last access: 1 November 2024), 2024. a
Tryner, J., Mehaffy, J., Miller-Lionberg, D., and Volckens, J.: Effects of aerosol type and simulated aging on performance of low-cost PM sensors, J. Aerosol Sci., 150, 105654, https://doi.org/10.1016/j.jaerosci.2020.105654, 2020. a
Wiedinmyer, C., Yokelson, R. J., and Gullett, B. K.: Global emissions of trace gases, particulate matter, and hazardous air pollutants from open burning of domestic waste, Environ. Sci. Technol., 48, 9523–9530, 2014. a
Xi, Y., Richardson, D. B., Kshirsagar, A. V., Wade, T. J., Flythe, J. E., Whitsel, E. A., Peterson, G. C., Wyatt, L. H., and Rappold, A. G.: Effects of short-term ambient PM2.5 exposure on cardiovascular disease incidence and mortality among U.S. hemodialysis patients: a retrospective cohort study, Environ. Health, 21, 33, https://doi.org/10.1186/s12940-022-00836-0, 2022. a
Xiang, J., Hao, J., Austin, E., Shirai, J., and Seto, E.: Residential cooking-related PM2.5: Spatial-temporal variations under various intervention scenarios, Build. Environ., 201, 108002, https://doi.org/10.1016/j.buildenv.2021.108002, 2021. a
Yi, W. Y., Lo, K. M., Mak, T., Leung, K. S., Leung, Y., and Meng, M. L.: A survey of Wireless Sensor Network based air pollution monitoring systems, Sensors (Basel), 15, 31392–31427, 2015. a
Zhang, K. and Batterman, S.: Air pollution and health risks due to vehicle traffic, Sci. Total Environ., 450–451, 307–316, 2013. a
Zheng, T., Bergin, M. H., Sutaria, R., Tripathi, S. N., Caldow, R., and Carlson, D. E.: Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi, Atmos. Meas. Tech., 12, 5161–5181, https://doi.org/10.5194/amt-12-5161-2019, 2019. a
Zhu, D., Nussbaum, N. J., Kuhns, H. D., Chang, M.-C. O., Sodeman, D., Uppapalli, S., Moosmüller, H., Chow, J. C., and Watson, J. G.: In-Plume Emission Test Stand 2: emission factors for 10- to 100-kW U.S. military generators, J. Air Waste Manag. Assoc., 59, 1446–1457, 2009. a
Zimmerman, N.: Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring, J. Aerosol Sci., 159, 105872, https://doi.org/10.1016/j.jaerosci.2021.105872, 2022. a
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This study examines how sampling frequency influences the accuracy of low-cost particulate matter (PM) sensors. It finds that high sampling rates (15 s) are vital for detecting short pollution spikes like vehicle emissions, while lower rates (1 h) are enough for tracking long-term trends. Conducted in real-world outdoor conditions, the research offers practical guidance to balance energy use and data accuracy, supporting scalable, cost-effective air quality monitoring solutions.
This study examines how sampling frequency influences the accuracy of low-cost particulate...
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