Article
Environmental Sciences
Temitope Oluwadairo, Lawrence Whitehead, Elaine Symanski, Cici Bauer, Arch Carson, Inkyu Han
Summary: This study examined the linear relationship and agreement between low-cost particulate matter sensors (LCPMS) and research grade particulate matter (PM) monitors. Results showed that the particle size bins of PM affected the linear relationship, with larger particles having a higher slope and larger error in converted mass concentration.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Construction & Building Technology
Seongjun Park, Shinhye Lee, Myoungsouk Yeo, Donghyun Rim
Summary: In order to monitor indoor particulate matter (PM) concentration more efficiently, low-cost sensors have been used, although there is limited information about their performance in monitoring indoor aerosols. A research framework was established to evaluate the performance of a commonly used low-cost sensor (PurpleAir) compared to two research-grade light scattering sensors (Grimm 11-A, Sidepak AM520) in lab and residential settings. The results showed that low-cost sensors have good consistency for mass concentrations, but lower consistency for particles larger than 1 μm compared to research-grade sensors. The study also highlighted the need for quality assurance in episodic indoor emission events that lead to elevated PM2.5 concentrations (>100 μg m(-3)).
BUILDING AND ENVIRONMENT
(2023)
Article
Environmental Sciences
Nana A. Amoah, Guang Xu, Ashish Ranjan Kumar, Yang Wang
Summary: Mining-induced coal dust causes respiratory diseases, especially coal workers' pneumoconiosis (CWP). Current underground monitors are costly and not suitable for regular sample monitoring. Low-cost PM sensors offer a potential solution but require precise calibration. This study calibrated Plantower PMS5003 sensors and evaluated other commercially available PM sensors, demonstrating the feasibility of low-cost sensors for real-time personal coal dust monitoring if a robust calibration model is applied.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Chemistry, Analytical
Zenon Nieckarz, Jerzy A. Zoladz
Summary: The paper introduced a calibration system for low-cost PM sensors developed and used at Jagiellonian University in Krakow, Poland, which is capable of generating stable and repeatable concentrations of suspended PM.
Article
Environmental Sciences
Angela Peck, Rodney G. Handy, Darrah K. Sleeth, Camie Schaefer, Yue Zhang, Leon F. Pahler, Joemy Ramsay, Scott C. Collingwood
Summary: Growing concern about air pollution has prompted the development of low-cost sensors for widespread use by citizen scientists. This study examined the AirU low-cost particle sensor using two approaches: comparing calibration equations before and after deployment in a field study, and comparing the AirU with a reference instrument. While some sensor degradation was observed, the impact on results was minimal, and the majority of measurements were within an acceptable range. These findings demonstrate that low-cost sensors like the AirU are still valuable for exposure assessment studies but further research is needed to understand their performance in different environments.
Article
Chemistry, Analytical
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
Summary: In this study, the performance and influencing factors of eight low-cost PM sensors were analyzed. It was found that different sensors have different independence and sensitivity in measuring particle concentration and size. The study provides valuable insights for improving the accuracy and reliability of low-cost PM sensors.
Review
Materials Science, Multidisciplinary
Nana A. Amoah, Guang Xu, Yang Wang, Jiayu Li, Yongming Zou, Baisheng Nie
Summary: Researchers conducted a critical review of the current status of particle matter sensors and discussed the potential application of low-cost sensors in underground mines. They identified sources of sensor errors and proposed comprehensive calibration processes and evaluation protocols to improve sensor performance.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS
(2022)
Article
Chemistry, Analytical
Edwin Villanueva, Soledad Espezua, George Castelar, Kyara Diaz, Erick Ingaroca
Summary: Recently, low-cost sensors have emerged to measure air quality, allowing for high-resolution monitoring of air in large urban areas. However, these sensors require careful calibration, which often involves expensive and time-consuming field data collection. In this paper, a machine-learning-based approach is proposed to generate calibration models for new Particulate Matter sensors, using available field data and models from existing sensors. Experimental results show that this approach can produce accurate calibration models for new sensors with as few as four days of field data, comparable to models adjusted with data from periods ten times longer.
Article
Automation & Control Systems
Xin Zhang, Changle Zhou, Fei Chao, Chih-Min Lin, Longzhi Yang, Changjing Shang, Qiang Shen
Summary: This article presents a calibration method for low-cost IMU to improve accuracy by effectively deriving the nonlinear scale factors of the sensors. The validation on both synthetic and real-world data sets showed significantly smaller errors in acceleration and angular velocity compared to existing approaches, demonstrating a remarkable improvement of 64.12% and 47.90%, respectively.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Chemistry, Analytical
Sinan Sousan, Swastika Regmi, Yoo Min Park
Summary: This study evaluated four low-cost PM sensors in both environmental and occupational settings. SPS30 and OPC-N3 showed high correlation with the reference instrument in environmental settings, while OPC-N3's correlation varied in occupational settings. Response significantly varied between settings, with biases varying by particle size and aerosol type.
Article
Environmental Sciences
Doheon Kim, Dongmin Shin, Jungho Hwang
Summary: Recently, low-cost sensors (LCSs) have been extensively used for monitoring particulate matter (PM) mass concentrations. This study evaluated two commercial LCSs, Plantower PMS3003 and Plantower PMS7003, in the laboratory and field using a reference-grade PM monitor (GRIMM 11-D). The LCSs showed differences in mass concentrations compared to the reference monitor, but a high correlation was observed. Field evaluation showed that the LCSs generally had higher PM mass concentrations, but the sensitivity varied with outdoor PM10/PM2.5 levels and relative humidity. Calibration models improved the accuracy of the LCSs, making them a cost-saving alternative to expensive reference monitors.
AEROSOL AND AIR QUALITY RESEARCH
(2023)
Article
Chemistry, Analytical
Hyuntae Cho, Yunju Baek
Summary: Air pollution is a social problem that can lead to health issues for humans, thus accurate monitoring of air quality is crucial. This study proposed a particulate matter sensing and calibration system using low-cost sensors to address measurement errors and environmental interferences effectively.
Article
Environmental Sciences
H. Chojer, P. T. B. S. Branco, F. G. Martins, M. C. M. Alvim-Ferraz, S. I. V. Sousa
Summary: This study monitored indoor air quality using low-cost IoT devices and developed machine learning algorithms for on-field calibration. The results showed some limitations in particle detection by these devices, but after calibration, the accuracy significantly improved.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Engineering, Chemical
Michael R. Giordano, Carl Malings, Spyros N. Pandis, Albert A. Presto, V. F. McNeill, Daniel M. Westervelt, Matthias Beekmann, R. Subramanian
Summary: Low-cost sensors for particulate matter mass (PM) provide spatially dense, high temporal resolution measurements of air quality, especially beneficial in low and middle-income countries with limited reference grade measurements. However, these sensors also face challenges that must be addressed to ensure data quality.
JOURNAL OF AEROSOL SCIENCE
(2021)
Article
Environmental Sciences
Eric S. Coker, A. Kofi Amegah, Ernest Mwebaze, Joel Ssematimba, Engineer Bainomugisha
Summary: The study aimed to investigate the use of locally developed low-cost air quality sensor network for LUR modeling to predict PM2.5 air pollution in sub-Saharan Africa, with a focus on machine learning enhancement. Results showed extreme gradient boosting performed best among all algorithms, with ensemble modeling providing comparable performance.
ENVIRONMENTAL RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Jian Wang, Rob Wood, Michael P. Jensen, J. Christine Chiu, Yangang Liu, Katia Lamer, Neel Desai, Scott E. Giangrande, Daniel A. Knopf, Pavlos Kollias, Alexander Laskin, Xiaohong Liu, Chunsong Lu, David Mechem, Fan Mei, Mariusz Starzec, Jason Tomlinson, Yang Wang, Seong Soo Yum, Guangjie Zheng, Allison C. Aiken, Eduardo B. Azevedo, Yann Blanchard, Swarup China, Xiquan Dong, Francesca Gallo, Sinan Gao, Virendra P. Ghate, Susanne Glienke, Lexie Goldberger, Joseph C. Hardin, Chongai Kuang, Edward P. Luke, Alyssa A. Matthews, Mark A. Miller, Ryan Moffet, Mikhail Pekour, Beat Schmid, Arthur J. Sedlacek, Raymond A. Shaw, John E. Shilling, Amy Sullivan, Kaitlyn Suski, Daniel P. Veghte, Rodney Weber, Matt Wyant, Jaemin Yeom, Maria Zawadowicz, Zhibo Zhang
Summary: Marine low clouds have a significant impact on global climate, but their representation in global climate models is currently inadequate. Understanding how marine low clouds respond to changes in atmospheric greenhouse gases and aerosols is a major source of uncertainty in climate simulations. The eastern North Atlantic region is a unique area with diverse marine boundary layer clouds, making it an excellent location to study the impact of aerosols on cloud properties. The Aerosol and Cloud Experiments in Eastern North Atlantic campaign was conducted to improve the understanding of the marine boundary layer cloud and aerosol interactions, as well as the cloud condensation nuclei budget.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
Energy & Fuels
Di Wu, Haotian Zheng, Qing Li, Ling Jin, Rui Lyu, Xiang Ding, Yaoqiang Huo, Bin Zhao, Jingkun Jiang, Jianmin Chen, Xiangdong Li, Shuxiao Wang
Summary: Efforts have been made to reduce pollution from coal-fired electricity and domestic solid fuel burning in China, but research and funding have primarily focused on the former. However, a recent study shows that pollution from residential combustion may have a greater impact on health compared to coal electricity. The incomplete burning of solid fuels in household stoves generates higher concentrations of toxic particulate matter, making it more harmful than emissions from coal-fired power plants.
Article
Chemistry, Medicinal
Kashala Fabrice Kapiamba, Weixing Hao, Stephen Adom, Wenyan Liu, Yue-Wern Huang, Yang Wang
Summary: The health effects of electronic cigarette (EC) aerosol exposure are still not well understood due to insufficient data. In this study, metals in EC aerosols from three brands were quantified, and it was found that some metals exceeded the regulated maximum daily intake amount. The metals were mainly released from the EC liquid, and high metal contents were also observed in simulated secondhand aerosols.
CHEMICAL RESEARCH IN TOXICOLOGY
(2022)
Article
Toxicology
Weixing Hao, Kashala Fabrice Kapiamba, Varuni Abhayaratne, Shoaib Usman, Yue-Wern Huang, Yang Wang
Summary: This study designed a filter-based system to simulate secondhand smoke generation, utilizing three filter media to mimic particle deposition efficiencies in different regions of the human respiratory system. The performance of the system was demonstrated and properties of secondhand smoke particles were compared to primary smoke particles.
INHALATION TOXICOLOGY
(2022)
Article
Engineering, Environmental
Anlin Liu, Jinrun Yi, Xiang Ding, Jianguo Deng, Di Wu, Yaoqiang Huo, Jingkun Jiang, Qing Li, Jianmin Chen
Summary: The research team developed an online inorganic CPM monitoring system that accurately measures the mass concentrations of condensable particulate matter emitted from industrial plants. The system can also retrieve individual ion mass concentrations under steady operating conditions.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Environmental Sciences
Yicheng Shen, Qiang Zhang, Dongbin Wang, Miao Tian, Quanshun Yu, Junfang Wang, Hang Yin, Shaojun Zhang, Jiming Hao, Jingkun Jiang
Summary: A compact and cost-effective sensor platform was developed and evaluated in this study for efficient identification of high-emission vehicles. The platform successfully measured pollutant concentrations and derived emission factors, successfully identifying potential high emitters. This pilot test demonstrates the feasibility of a sensor-based system for high emitter identification.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Xue Li, Zhaojin An, Yicheng Shen, Yi Yuan, Fengkui Duan, Jingkun Jiang
Summary: A new technique was developed to measure volatile and semi-volatile PAEs in urban aerosols, revealing a strong correlation between PAEs and PM2.5 concentrations.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Nanoscience & Nanotechnology
Steven Cheng, Weixing Hao, Yuchen Wang, Yang Wang, Shu Yang
Summary: By understanding the morphology and wettability of fibers/yarns, researchers have identified the best reusable fabric mask materials, which consist of tightly woven Janus fabrics with low porosity and a hydrophobic outer layer, and a high porosity and hydrophilic inner layer.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Public, Environmental & Occupational Health
J. Patrick Brooks, Christopher Lupfer, Wang Yang, Weixing Hao MEng, Kashala Fabrice Kapiamba
Summary: The effect of stabilized hypochlorous acid (HOCl) on N95 filtration facemask respirators (FFRs) was investigated. The filtration performance of N95 FFR fabric swatches was not significantly affected by HOCl exposure. HOCl submersion showed excellent bactericidal effects on contaminated swatches. Further study is needed on the decontamination of intact FFRs using HOCl. Rating: 8/10.
AMERICAN JOURNAL OF INFECTION CONTROL
(2023)
Review
Materials Science, Multidisciplinary
Nana A. Amoah, Guang Xu, Yang Wang, Jiayu Li, Yongming Zou, Baisheng Nie
Summary: Researchers conducted a critical review of the current status of particle matter sensors and discussed the potential application of low-cost sensors in underground mines. They identified sources of sensor errors and proposed comprehensive calibration processes and evaluation protocols to improve sensor performance.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS
(2022)
Article
Environmental Sciences
Nana A. Amoah, Guang Xu, Ashish Ranjan Kumar, Yang Wang
Summary: Mining-induced coal dust causes respiratory diseases, especially coal workers' pneumoconiosis (CWP). Current underground monitors are costly and not suitable for regular sample monitoring. Low-cost PM sensors offer a potential solution but require precise calibration. This study calibrated Plantower PMS5003 sensors and evaluated other commercially available PM sensors, demonstrating the feasibility of low-cost sensors for real-time personal coal dust monitoring if a robust calibration model is applied.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Thermodynamics
Chanakya Bagya Ramesh, Yang Wang
Summary: In this study, the mobility and size distributions of positive and negative ions generated from a premixed methane-air flat flame were measured using a high-resolution differential mobility analyzer (HR-DMA). The results showed that under certain experimental conditions, positively charged ions were relatively stable, with two major modes at 1.16 nm and 1.42 nm. The mode corresponding to 1.42 nm gradually increased in size with height above the burner, indicating the charging of hydrocarbon precursors.
COMBUSTION SCIENCE AND TECHNOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Xianda Gong, Yang Wang, Hua Xie, Jiaoshi Zhang, Zheng Lu, Robert Wood, Frank Stratmann, Heike Wex, Xiaohong Liu, Jian Wang
Summary: The study investigates the maximum supersaturation (S-x) of marine boundary layer clouds in the Eastern North Atlantic using airborne and surface observations. The results show that the cloud droplet number concentration (N-c) in the least diluted cloud cores agrees well with the number concentration of particles larger than the Hoppel Minimum (HM) below clouds. The S-x values exhibit clear seasonal variation with higher values during winter, and are mainly influenced by cloud condensation nuclei (CCN) concentration and updraft velocity (w).
Article
Environmental Sciences
S. Hakala, V. Vakkari, F. Bianchi, L. Dada, C. Deng, K. R. Dallenbach, Y. Fu, J. Jiang, J. Kangasluoma, J. Kujansuu, Y. Liu, T. Petaja, L. Wang, C. Yan, M. Kulmala, P. Paasonen
Summary: Atmospheric aerosols have significant effects on climate and human health. New particle formation (NPF) plays an important role in aerosol mass loadings, especially in highly polluted regions. This study analyzes air mass exposure to anthropogenic emissions (AME) and its impact on aerosol formation. The results show that NPF events occur in clean air masses with low AME, but substantial growth of nucleation mode particles requires increasing AME. Furthermore, a regression model is developed to predict aerosol concentrations based on meteorological variables, which can also estimate the influence of emission changes on pollution levels.
ENVIRONMENTAL SCIENCE-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
Jiaoshi Zhang, Yang Wang, Steven Spielman, Susanne Hering, Jian Wang
Summary: Aerosol hygroscopic growth is important in atmospheric particle chemistry and climate. Nonparametric, regularized methods are introduced to invert the aerosol GF-PDF and are demonstrated to outperform other inversion methods in reconstructing the GF-PDF.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)