Citations (49)
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Read on this site (5)
James Ouimette, W. Patrick Arnott, Philip Laven, Richard Whitwell, Nagarajan Radhakrishnan, Suresh Dhaniyala, Michael Sandink, Jessica Tryner & John Volckens. (2024) Fundamentals of low-cost aerosol sensor design and operation. Aerosol Science and Technology 58:1, pages 1-15.
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Wilton Mui, Xiaobi Michelle Kuang, Hang Zhang, Sahil Bhandari, Raul Dominguez, Andrea Polidori & Vasileios Papapostolou. (2023) Development of ASTM International D8405—Standard Test Method for Evaluating PM2.5 Sensors or Sensor Systems Used in Indoor Applications. Journal of Occupational and Environmental Hygiene 20:9, pages 373-389.
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Yangyang Zou, Jordan D. Clark & Andrew A. May. (2021) Laboratory evaluation of the effects of particle size and composition on the performance of integrated devices containing Plantower particle sensors. Aerosol Science and Technology 55:7, pages 848-858.
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Hema Priyamvada, Kavindra Kumaragama, Adam Chrzan, Chethani Athukorala, Shantanu Sur & Suresh Dhaniyala. (2021) Design and evaluation of a new electrostatic precipitation-based portable low-cost sampler for bioaerosol monitoring. Aerosol Science and Technology 55:1, pages 24-36.
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Alok Kumar Thakur, Jonathan Gingrich, Marina E. Vance & Sameer Patel. Insights into low-cost pm sensors using size-resolved scattering intensity of cooking aerosols in a test house. Aerosol Science and Technology 0:0, pages 1-13.
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Articles from other publishers (44)
Lance Wallace. (2024) Socioeconomic inequity of measured indoor and outdoor exposure to PM2.5: 5 Years of data from 14,000 low-cost particle monitors. Indoor Environments 1:2, pages 100016.
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Armita Kar, Mohammed Ahmed, Andrew A. May & Huyen T.K. Le. (2024) High spatio-temporal resolution predictions of PM2.5 using low-cost sensor data. Atmospheric Environment 326, pages 120486.
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Jiazhen Lu, Junjie Liu, Xiaoxia Han, Yue Liu, Bo Xu & Ji Xiao. (2024) Calibration method of particulate matter sensor based on density peaks clustering combined with stacking algorithm. Atmospheric Environment 326, pages 120460.
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Pengxu Yi, Hong Lin & RuoMeng Ma. (2023) Research on calibration model of light scattering sensor based on random forest. Research on calibration model of light scattering sensor based on random forest.
Daniel M. Westervelt, Paulson Kasereka Isevulambire, Rodriguez Yombo Phaka, Laura H. Yang, Garima Raheja, George Milly, Jean-Luc Balogije Selenge, Jean Pierre Mfuamba Mulumba, Dimitrios Bousiotis, Buenimio Lomami Djibi, V. Faye McNeill, Nga L. Ng, Francis Pope, Guillaume Kiyombo Mbela & Joel Nkiama Konde. (2023)
Low-Cost Investigation into Sources of PM
2.5
in Kinshasa, Democratic Republic of the Congo
. ACS ES&T Air 1:1, pages 43-51.
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Ioannis Christakis, Elena Sarri, Odysseas Tsakiridis & Ilias Stavrakas. (2023) Identification of the Safe Variation Limits for the Optimization of the Measurements in Low-Cost Electrochemical Air Quality Sensors. Electrochem 5:1, pages 1-28.
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Vijay Kumar, Dinushani Senarathna, Supraja Gurajala, William Olsen, Shantanu Sur, Sumona Mondal & Suresh Dhaniyala. (2023) Spectral analysis approach for assessing the accuracy of low-cost air quality sensor network data. Atmospheric Measurement Techniques 16:21, pages 5415-5427.
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Bárbara A. Macías-Hernández, Edgar Tello-Leal, Oliver Barrios S.Manuel A. Leiva-Guzmán & Richard Toro A.. (2023) Effect of environmental conditions on the performance of a low-cost atmospheric particulate matter sensor. Urban Climate 52, pages 101753.
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Mark Joseph Campmier, Jonathan Gingrich, Saumya Singh, Nisar Baig, Shahzad Gani, Adithi Upadhya, Pratyush Agrawal, Meenakshi Kushwaha, Harsh Raj Mishra, Ajay Pillarisetti, Sreekanth Vakacherla, Ravi Kant Pathak & Joshua S. Apte. (2023) Seasonally optimized calibrations improve low-cost sensor performance: long-term field evaluation of PurpleAir sensors in urban and rural India. Atmospheric Measurement Techniques 16:19, pages 4357-4374.
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Lance Wallace. (2023) Cracking the code—Matching a proprietary algorithm for a low-cost sensor measuring PM1 and PM2.5. Science of The Total Environment 893, pages 164874.
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Florentin Michel Jacques Bulot, Hugo Savill Russell, Mohsen Rezaei, Matthew Stanley Johnson, Steven James Ossont, Andrew Kevin Richard Morris, Philip James Basford, Natasha Hazel Celeste Easton, Hazel Louise Mitchell, Gavin Lee Foster, Matthew Loxham & Simon James Cox. (2023) Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution—Part B—Particle Number Concentrations. Sensors 23:17, pages 7657.
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Lance Wallace. (2023) Testing a New “Decrypted” Algorithm for Plantower Sensors Measuring PM2.5: Comparison with an Alternative Algorithm. Algorithms 16:8, pages 392.
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Georgios Kosmopoulos, Vasileios Salamalikis, Stefan Wilbert, Luis F. Zarzalejo, Natalie Hanrieder, Stylianos Karatzas & Andreas Kazantzidis. (2023) Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and Spain. Sensors 23:14, pages 6541.
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Kamaljeet Kaur & Kerry E. Kelly. (2023) Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah. Atmospheric Measurement Techniques 16:10, pages 2455-2470.
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Seongjun Park, Shinhye Lee, Myoungsouk Yeo & Donghyun Rim. (2023) Field and laboratory evaluation of PurpleAir low-cost aerosol sensors in monitoring indoor airborne particles. Building and Environment 234, pages 110127.
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Daniel A. Jaffe, Colleen Miller, Katie Thompson, Brandon Finley, Manna Nelson, James Ouimette & Elisabeth Andrews. (2023) An evaluation of the U.S. EPA's correction equation for PurpleAir sensor data in smoke, dust, and wintertime urban pollution events. Atmospheric Measurement Techniques 16:5, pages 1311-1322.
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Vasudev Malyan, Vikas Kumar & Manoranjan Sahu. (2023) Significance of sources and size distribution on calibration of low-cost particle sensors: Evidence from a field sampling campaign. Journal of Aerosol Science 168, pages 106114.
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Rishabh U. Shah, Lauren E. Padilla, Daniel R. Peters, Megan Dupuy-Todd, Elizabeth R. FonsecaGeoffrey Q. MaOlalekan A. M. Popoola, Roderic L. JonesJim MillsNicholas A. MartinRamón A. Alvarez. (2022) Identifying Patterns and Sources of Fine and Ultrafine Particulate Matter in London Using Mobile Measurements of Lung-Deposited Surface Area. Environmental Science & Technology 57:1, pages 96-108.
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Seung-Soo Lee, Woo-Young Song & Yong-Jun Kim. (2023) Intelligent PM 2.5 mass concentration analyzer using deep learning algorithm and improved density measurement chip for high-accuracy airborne particle sensor network. Journal of Aerosol Science 167, pages 106097.
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Yongjie Li, Ka In Hoi, Kai Meng Mok & Ka Veng Yuen. 2023. Air Quality Monitoring and Advanced Bayesian Modeling. Air Quality Monitoring and Advanced Bayesian Modeling
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Vincenzo Capozzi, Letizia Raia, Viviana Cretella, Carmela De Vivo & Raffaele Cucciniello. (2022) The Impact of Meteorological Conditions and Agricultural Waste Burning on PM Levels: A Case Study of Avellino (Southern Italy). International Journal of Environmental Research and Public Health 19:19, pages 12246.
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Lance Wallace, Tongke Zhao & Neil E. Klepeis. (2022) 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 22:13, pages 4741.
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Xiaoying Li, Jill Baumgartner, Christopher Barrington-Leigh, Sam Harper, Brian Robinson, Guofeng Shen, Talia Sternbach, Shu Tao, Xiang Zhang, Yuanxun Zhang & Ellison Carter. (2022) Socioeconomic and Demographic Associations with Wintertime Air Pollution Exposures at Household, Community, and District Scales in Rural Beijing, China. Environmental Science & Technology 56:12, pages 8308-8318.
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Vikas Kumar, Vasudev Malyan & Manoranjan Sahu. (2022) Significance of Meteorological Feature Selection and Seasonal Variation on Performance and Calibration of a Low-Cost Particle Sensor. Atmosphere 13:4, pages 587.
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Lance Wallace. (2022) 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 22:7, pages 2755.
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Hyeong Rae Kim, Hoon Kang, In-Yong Park & Jinsang Jung. (2022) Development of Particle Size Resolution Evaluation Method of OPC-type Low-cost and Mid-to-low cost Dust Sensors. Journal of Korean Society for Atmospheric Environment 38:1, pages 159-168.
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James R. Ouimette, William C. Malm, Bret A. Schichtel, Patrick J. Sheridan, Elisabeth Andrews, John A. Ogren & W. Patrick Arnott. (2022) Evaluating the PurpleAir monitor as an aerosol light scattering instrument. Atmospheric Measurement Techniques 15:3, pages 655-676.
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Nicole Cowell, Lee Chapman, William Bloss & Francis Pope. (2022) Field Calibration and Evaluation of an Internet-of-Things-Based Particulate Matter Sensor. Frontiers in Environmental Science 9.
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Mannam Veera Narayana, Devendra Jalihal & S. M. Shiva Nagendra. (2022) Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art. Sensors 22:1, pages 394.
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Joseph B. Habeck, Christopher J. Hogan, James A. Flaten & Graham V. Candler. (2022) Development of a calibration system for measuring aerosol particles in the stratosphere. Development of a calibration system for measuring aerosol particles in the stratosphere.
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E. Gramsch, P. Oyola, F. Reyes, Y. Vásquez, M. A. Rubio, C. Soto, P. Pérez, F. Moreno & N. Gutiérrez. (2021) Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns. Frontiers in Environmental Science 9.
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Michael R. Giordano, Carl Malings, Spyros N. Pandis, Albert A. Presto, V.F. McNeill, Daniel M. Westervelt, Matthias Beekmann & R. Subramanian. (2021) From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors. Journal of Aerosol Science 158, pages 105833.
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Vikas Kumar & Manoranjan Sahu. (2021) Evaluation of nine machine learning regression algorithms for calibration of low-cost PM2.5 sensor. Journal of Aerosol Science 157, pages 105809.
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Lance Wallace, Jianzhao Bi, Wayne R. Ott, Jeremy Sarnat & Yang Liu. (2021) Calibration of low-cost PurpleAir outdoor monitors using an improved method of calculating PM. Atmospheric Environment 256, pages 118432.
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Karoline K. Barkjohn, Brett Gantt & Andrea L. Clements. (2021) Development and application of a United States-wide correction for PM<sub>2.5</sub> data collected with the PurpleAir sensor. Atmospheric Measurement Techniques 14:6, pages 4617-4637.
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Yangyang Zou, Jordan D. Clark & Andrew A. May. (2021) A systematic investigation on the effects of temperature and relative humidity on the performance of eight low-cost particle sensors and devices. Journal of Aerosol Science 152, pages 105715.
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Lance Wallace, Wayne Ott, Tongke Zhao, Kai-Chung Cheng & Lynn Hildemann. (2020) Secondhand exposure from vaping marijuana: Concentrations, emissions, and exposures determined using both research-grade and low-cost monitors. Atmospheric Environment: X 8, pages 100093.
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David H. Hagan & Jesse H. Kroll. (2020) Assessing the accuracy of low-cost optical particle sensors using a physics-based approach. Atmospheric Measurement Techniques 13:11, pages 6343-6355.
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Iasonas Stavroulas, Georgios Grivas, Panagiotis Michalopoulos, Eleni Liakakou, Aikaterini Bougiatioti, Panayiotis Kalkavouras, Kyriaki Fameli, Nikolaos Hatzianastassiou, Nikolaos Mihalopoulos & Evangelos Gerasopoulos. (2020) Field Evaluation of Low-Cost PM Sensors (Purple Air PA-II) Under Variable Urban Air Quality Conditions, in Greece. Atmosphere 11:9, pages 926.
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Han Mei, Pengfei Han, Yinan Wang, Ning Zeng, Di Liu, Qixiang Cai, Zhaoze Deng, Yinghong Wang, Yuepeng Pan & Xiao Tang. (2020) Field Evaluation of Low-Cost Particulate Matter Sensors in Beijing. Sensors 20:16, pages 4381.
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