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Open AccessJournal ArticleDOI

Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?

TLDR
An exhaustive evaluation of 24 identical units of a commercial low-cost sensor platform against CEN (European Standardization Organization) reference analyzers, evaluating their measurement capability over time and a range of environmental conditions shows that their performance varies spatially and temporally.
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This article is published in Environment International.The article was published on 2017-02-01 and is currently open access. It has received 607 citations till now. The article focuses on the topics: Data quality & Environmental exposure.

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Towards the Development of a Sensor Educational Toolkit to Support Community and Citizen Science

TL;DR: In this article , the authors assess sensor use and participant feedback, as well as discuss the development of an educational toolkit called Community in Action: A Comprehensive Toolkit on Air Quality Sensors.

Enabling Community-Based Air Quality Science Through the Development of Sensor Systems, Resources, and Partnerships

TL;DR: In this article, the authors quantified volatile organic compound using sensors to provide methane and non-methane hydrocarbon concentration estimates in complex environments, with the goal of collecting preliminary and supplementary information that may contribute to improved public and environmental health.
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Exposure assessment for air pollution epidemiology: A scoping review of emerging monitoring platforms and designs.

TL;DR: In this paper , a conceptual summary of novel monitoring designs for air pollution cohort studies that leverage new paradigms and technologies, to investigate their characteristics in real-world examples, and to offer practical guidance to future studies.
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Citizen-operated mobile low-cost sensors for urban PM2.5 monitoring: field calibration, uncertainty estimation, and application

TL;DR: In this paper , the authors build a network of citizen-operated Snifferbike sensors in Kristiansand, Norway, and calibrate the measurements using Machine Learning techniques to estimate the concentrations of PM2.5 along the city roads.
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Mapping air quality with a mobile crowdsourced air quality monitoring system (C-AQM)

TL;DR: This paper presents the main bases of the C-AQM system, which relies on Air Quality Monitoring reference stations and a cluster of new low-cost and low-energy sensor nodes, in order to improve the resolution of air quality maps.
References
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Toxic Potential of Materials at the Nanolevel

TL;DR: The establishment of principles and test procedures to ensure safe manufacture and use of nanomaterials in the marketplace is urgently required and achievable.
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Respiratory effects are associated with the number of ultrafine particles.

TL;DR: The present study suggests that the size distribution of ambient particles helps to elucidate the properties of ambient aerosols responsible for health effects.
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The Changing Paradigm of Air Pollution Monitoring

TL;DR: Air pollution monitoring paradigm is rapidly changing due to recent advances in the development of portable, lower-cost air pollution sensors reporting data in near-real time at a high-time resolution, increased computational and visualization capabilities, and wireless communication/infrastructure.
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The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks

TL;DR: It is shown that miniature, low-cost electrochemical gas sensors can, when suitably configured and operated, be used for parts-per-billion level studies for gases relevant to urban air quality, and that measurement networks with higher resolution are required to quantify air quality at the scales which are present in the urban environment.
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