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)
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
Csongor Bathory, Zsolt Dobo, Attila Garami, Arpad Palotas, Pal Toth
Summary: The study on the performance of a low-cost sensor (Plantower PMS7003) showed good unit-to-unit consistency, but individual calibration was necessary. Results from a 15-month field test indicated promising quantitative and indicative performance, with an overall indicative accuracy of approximately 73-75%. It is recommended to clean the sensors after 6-8 months of operation.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(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
Environmental Sciences
Sinan Sousan, Ronald Mooring, Sarah Fresquez, Yoo Min Park, Vivien Coombs, Nicole Bertges, Luke Thomas, Emily Gold, Anish Gogineni, Alex Tiet, Jack Pender, Eric K. Soule
Summary: The use of electronic cigarettes is widespread among young people, posing a potential health risk for bystanders due to exposure to secondhand particulate matter. This study measured the potential exposure to secondhand electronic cigarette particulate matter in vehicles and found high concentrations of PM2.5. Although filter measurements were mostly undetectable, two participants had significantly higher puff counts than the average.
ENVIRONMENTAL POLLUTION
(2023)
Article
Environmental Studies
Naser Hossein Motlagh, Martha A. Zaidan, Pak L. Fung, Eemil Lagerspetz, Kasimir Aula, Samu Varjonen, Matti Siekkinen, Andrew Rebeiro-Hargrave, Tuukka Petaja, Yutaka Matsumi, Markku Kulmala, Tareq Hussein, Petteri Nurmi, Sasu Tarkoma
Summary: Low-cost sensors can accurately capture the overall exposure of commuters and provide insights into variations within transport modalities. They can also capture subtle variations caused by factors such as different routes, passenger density, and location within a carriage.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Review
Chemistry, Analytical
Janani Venkatraman Jagatha, Andre Klausnitzer, Miriam Chacon-Mateos, Bernd Laquai, Evert Nieuwkoop, Peter van der Mark, Ulrich Vogt, Christoph Schneider
Summary: Cost-effective sensors have become popular for measuring ambient and indoor particulate matter concentration, but their data reliability is hindered by sensitivities to temperature and relative humidity, especially in mobile measurement setups. Quantile mapping is identified as a useful calibration methodology for mobile measurements, retaining spatial characteristics of the data, albeit without a common correction factor. A well-elaborated measurement plan is crucial for successful application of quantile mapping in mobile measurements.
Article
Environmental Sciences
Jianzhao Bi, Christopher Zuidema, David Clausen, Kipruto Kirwa, Michael T. Young, Amanda J. Gassett, Edmund Y. W. Seto, Paul D. Sampson, Timothy V. Larson, Adam A. Szpiro, Lianne Sheppard, Joel D. Kaufman
Summary: A daily high-resolution ambient CO exposure prediction model was developed based on a study in Baltimore, Maryland, with evaluation of novel parameters contributing to model performance. Results showed the model performed well in predicting CO concentrations at the city scale.
ENVIRONMENTAL HEALTH PERSPECTIVES
(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
Chemistry, Analytical
Rachel Mason, Joe Byerley, Andrea Baker, Dylan Powell, Liam T. T. Pearson, Gill Barry, Alan Godfrey, Martina Mancini, Samuel Stuart, Rosie Morris
Summary: This study aimed to evaluate the suitability of a low-cost wearable sensor device (AX6) for assessing turning outcomes. The results showed good to excellent agreement between AX6 and the reference device in different turning tasks. This suggests that AX6 can be a suitable and fit-for-purpose device for evaluating turning behavior.
Article
Environmental Sciences
Dimitrios Bousiotis, Leah-Nani S. Alconcel, David C. S. Beddows, Roy M. Harrison, Francis D. Pope
Summary: Air quality, both indoor and outdoor, is crucial for public health. This study introduces a new methodology using low-cost sensors and source apportionment techniques to understand the importance of different air pollution sources on indoor air quality. The results demonstrate the highest concentrations of PM in the bedroom, the highest PM spikes in the kitchen during cooking times, and the highest PM1 concentrations in the office due to outdoor infiltration. Source apportionment analysis shows that up to 95% of PM1 comes from outdoor sources in all rooms.
ENVIRONMENT INTERNATIONAL
(2023)
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
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
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.
Correction
Public, Environmental & Occupational Health
Eelco Kuijpers, Anjoeka Pronk, Antti Joonas Koivisto, Keld Alstrup Jensen, Roel Vermeulen, Wouter Fransman
ANNALS OF WORK EXPOSURES AND HEALTH
(2020)
Article
Multidisciplinary Sciences
Tanja Krone, Ruud Boessen, Sabina Bijlsma, Robin van Stokkum, S. Clabbers, Wilrike J. Pasman
Article
Environmental Sciences
Bernice Scholten, Jelle Vlaanderen, Rob Stierum, Lutzen Portengen, Nat Rothman, Qing Lan, Anjoeka Pronk, Roel Vermeulen
ENVIRONMENTAL HEALTH PERSPECTIVES
(2020)
Article
Environmental Sciences
Michiel A. van den Dries, Monica Guxens, Suzanne Spaan, Kelly K. Ferguson, Elise Philips, Susana Santos, Vincent W. V. Jaddoe, Akhgar Ghassabian, Leonardo Trasande, Henning Tiemeier, Anjoeka Pronk
ENVIRONMENTAL HEALTH PERSPECTIVES
(2020)
Article
Engineering, Environmental
Manosij Ghosh, Lisa Janssen, Dries S. Martens, Deniz Oner, Jelle Vlaanderen, Anjoeka Pronk, Eelco Kuijpers, Roel Vermeulen, Tim S. Nawrot, Lode Godderis, Peter H. M. Hoet
JOURNAL OF HAZARDOUS MATERIALS
(2020)
Editorial Material
Public, Environmental & Occupational Health
Maaike le Feber, Trishala Jadoenathmisier, Henk Goede, Eelco Kuijpers, Anjoeka Pronk
Summary: While sensor-based exposure assessment has potential benefits in workplace settings, there are also ethical and privacy concerns that need to be addressed. Stakeholders currently see benefits in using sensors for targeted studies, but continuous monitoring of workers may still be seen as a step too far.
ANNALS OF WORK EXPOSURES AND HEALTH
(2021)
Article
Environmental Sciences
Xanthi D. Andrianou, Anjoeka Pronk, Karen S. Galea, Rob Stierum, Miranda Loh, Flavia Riccardo, Patrizio Pezzotti, Konstantinos C. Makris
Summary: The COVID-19 pandemic has highlighted the importance of public health measures against infectious diseases in cities, where more than half of the global population resides. The exposure to SARS-CoV-2 virus and changes in urban environments due to transmission prevention measures require a comprehensive systems-based approach to better understand the spread and improve guidance. Integrating individual and population characteristics in urban exposome studies is essential for assessing health disparities and vulnerability in epidemics.
ENVIRONMENT INTERNATIONAL
(2021)
Article
Environmental Sciences
Michiel A. van den Dries, Sander Lamballais, Hanan El Marroun, Anjoeka Pronk, Suzanne Spaan, Kelly K. Ferguson, Matthew P. Longnecker, Henning Tiemeier, Monica Guxens
ENVIRONMENTAL RESEARCH
(2020)
Article
Public, Environmental & Occupational Health
William Mueller, Paul Wilkinson, James Milner, Sotiris Vardoulakis, Susanne Steinle, Juha Parkka, Eija Parmes, Luc Cluitmans, Eelco Kuijpers, Anjoeka Pronk, Denis Sarigiannis, Spyros Karakitsios, Dimitris Chapizanis, Thomas Maggos, Asimina Stamatelopoulou, Miranda Loh
Summary: The study found that there was no clear link between residential greenspace levels and outdoor physical activity time, but there was a positive association between greenspace indicators and the intensity and duration of activity. Future research should focus on larger, more diverse populations and investigate the influence of greenspace for trip purpose and route preference.
Article
Public, Environmental & Occupational Health
Kelly K. Ferguson, Sara Sammallahti, Emma Rosen, Michiel van den Dries, Anjoeka Pronk, Suzanne Spaan, Monica Guxens, Henning Tiemeier, Romy Gaillard, Vincent W. V. Jaddoe
Summary: This study identified three distinct fetal growth trajectories for weight among babies born small for gestational age (SGA). Children who were consistently small from mid-pregnancy had the worst neurodevelopmental outcomes at age 6, showing lower IQ and slightly more ADHD symptoms compared to non-SGA babies. The findings suggest that fetal growth trajectories may help identify SGA babies who are at risk for poor neurodevelopmental outcomes.
Article
Environmental Sciences
Luuk van Wel, Paula van Dommelen, Moniek Zuurbier, Debbie Heinen, Jennie Odink, Janine Bezem, Paul H. Verkerk, Anjoeka Pronk, Gerard Hoek, Eelco Kuijpers
Summary: This study examined the relationship between developmental milestones of children aged 0-4 in The Netherlands and environmental exposures. While no consistent associations were found for air pollution and road traffic noise, a positive association was indicated between green space and child development.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Review
Public, Environmental & Occupational Health
Eelco Kuijpers, Luuk van Wel, Miranda Loh, Karen S. Galea, Konstantinos C. Makris, Rob Stierum, Wouter Fransman, Anjoeka Pronk
Summary: This study reviewed the literature on exposome technologies in the oil and gas industry, finding that PBK models and biomarkers are commonly used, while personal sensors, new exposure models, and omics technology are still in their early stages of application in this industry.
ANNALS OF WORK EXPOSURES AND HEALTH
(2021)
Article
Environmental Sciences
Eleni G. Kleovoulou, Corina Konstantinou, Andria Constantinou, Eelco Kuijpers, Miranda Loh, Karen S. Galea, Rob Stierum, Anjoeka Pronk, Konstantinos C. Makris
Summary: Stakeholders expressed the need for a systematic health monitoring system covering the VEC and its surrounding communities, as well as stricter government policies on licensing and monitoring for hydrocarbon activities. While SMEs have not practiced the exposome concept, SMIs show willingness to incorporate it into their research and development activities in the future.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Health Care Sciences & Services
Regina J. M. Kamstra, Andre Boorsma, Tanja Krone, Robin M. van Stokkum, Hannah M. Eggink, Ton Peters, Wilrike J. Pasman
Summary: This study validates the effectiveness of using a mobile app to measure quality of life. The mobile app questionnaire shows high consistency and reliability compared to the paper-based questionnaire, while reducing the burden on respondents.
JMIR FORMATIVE RESEARCH
(2022)