Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments.

Autor: Chatzidiakou L; Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK., Krause A; Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK., Popoola OAM; Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK., Di Antonio A; Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK., Kellaway M; Atmospheric Sensors Ltd, Bedfordshire, SG19 3SH, UK., Han Y; MRC-PHE Centre for Environment & Health, Imperial College London and King's College London, London, W2 1PG, UK.; College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.; Department of Analytical, Environmental and Forensic Sciences, King's College London, London, SE1 9NH, UK., Squires FA; Department of Chemistry, University of York, York, YO10 5DD, UK., Wang T; College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.; The Beijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing, 100871, China., Zhang H; MRC-PHE Centre for Environment & Health, Imperial College London and King's College London, London, W2 1PG, UK.; Department of Analytical, Environmental and Forensic Sciences, King's College London, London, SE1 9NH, UK.; NIHR Health Protection Research Unit in Health Impact of Environmental Hazards, King's College London, London, SE1 9NH, UK., Wang Q; College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.; The Beijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing, 100871, China., Fan Y; College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.; The Beijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing, 100871, China., Chen S; College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China., Hu M; College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.; The Beijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing, 100871, China., Quint JK; National Heart and Lung Institute, Imperial College London, SW3 6LR, UK., Barratt B; MRC-PHE Centre for Environment & Health, Imperial College London and King's College London, London, W2 1PG, UK.; Department of Analytical, Environmental and Forensic Sciences, King's College London, London, SE1 9NH, UK.; NIHR Health Protection Research Unit in Health Impact of Environmental Hazards, King's College London, London, SE1 9NH, UK., Kelly FJ; MRC-PHE Centre for Environment & Health, Imperial College London and King's College London, London, W2 1PG, UK.; Department of Analytical, Environmental and Forensic Sciences, King's College London, London, SE1 9NH, UK.; NIHR Health Protection Research Unit in Health Impact of Environmental Hazards, King's College London, London, SE1 9NH, UK., Zhu T; College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.; The Beijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing, 100871, China., Jones RL; Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.
Jazyk: angličtina
Zdroj: Atmospheric measurement techniques [Atmos Meas Tech] 2019; Vol. 12 (8), pp. 4643-4657. Date of Electronic Publication: 2019 Aug 30.
DOI: 10.5194/amt-12-1-2019
Abstrakt: The inaccurate quantification of personal exposure to air pollution introduces error and bias in health estimations, severely limiting causal inference in epidemiological research worldwide. Rapid advancements in affordable, miniaturised air pollution sensor technologies offer the potential to address this limitation by capturing the high variability of personal exposure during daily life in large-scale studies with unprecedented spatial and temporal resolution. However, concerns remain regarding the suitability of novel sensing technologies for scientific and policy purposes. In this paper we characterise the performance of a portable personal air quality monitor (PAM) that integrates multiple miniaturised sensors for nitrogen oxides (NO x ), carbon monoxide (CO), ozone (O 3 ) and particulate matter (PM) measurements along with temperature, relative humidity, acceleration, noise and GPS sensors. Overall, the air pollution sensors showed high reproducibility (mean R ¯ 2 = 0.93, min-max: 0.80-1.00) and excellent agreement with standard instrumentation (mean R ¯ 2 = 0.82, min-max: 0.54-0.99) in outdoor, indoor and commuting microenvironments across seasons and different geographical settings. An important outcome of this study is that the error of the PAM is significantly smaller than the error introduced when estimating personal exposure based on sparsely distributed outdoor fixed monitoring stations. Hence, novel sensing technologies such as the ones demonstrated here can revolutionise health studies by providing highly resolved reliable exposure metrics at a large scale to investigate the underlying mechanisms of the effects of air pollution on health.
Competing Interests: Competing interests. The authors declare that they have no conflict of interest.
Databáze: MEDLINE
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