2025 · Z. Peng, J. Yang, J. Sun, et al. · Sustainable Horizons · DOI: 10.1016/j.horiz.2025.100131
A two-week campaign in 12 Xi'an households combined indoor/outdoor PM2.5 with exhaled-NO and cytokine measurements and interpretable machine learning to characterise indoor PM2.5 sources and health effects.
2025 · P. Yang, W. Cheng, M. Wang, et al., J. Tang, R. Zhang · ACS Environment & Health · DOI: 10.1021/envhealth.5c00016
An ex vivo biosensor strategy with a real-world indoor-renovation VOC inhalation model revealed the vascular toxic effects of volatile organic compounds.
2025 · X. Qin, X. Liu, Y. Wei, et al., M. Zheng, Z. Ning · Environment International · DOI: 10.1016/j.envint.2025.109898
An ultra-compact multi-channel personal sampler captures particle chemical composition, including metals and PAHs, at hourly resolution for personal-exposure assessment.
2024 · M.-Y. Chu, P. Brimblecombe, P. Wei, C.-H. Liu, Z. Ning · Environments · DOI: 10.3390/environments11030057
One-second-resolution kerbside NOx measurements on Hennessy Road, Hong Kong tracked the temporal evolution and dispersion of individual vehicle exhaust plumes within the first metres of their on-road source.
2024 · X. Li, et al., Z. Ning, et al. · Science of the Total Environment · DOI: 10.1016/j.scitotenv.2023.168671
A pilot-scale Hong Kong study used roadside sensors to evaluate the real-world effectiveness of street-canyon air purifiers in reducing kerbside pollution.
2024 · W. Chen, Y. Yang, H. Mei, et al., S. Y. Jiang, Z. Ning · Atmospheric Environment · DOI: 10.1016/j.atmosenv.2024.120367
A high-density ad-hoc low-cost sensor network characterised a high-ozone episode in the Greater Bay Area, separating local formation from regional transport.
2024 · H. Xu, Y. Li, C. Lin, Z. Ning, et al. · Atmospheric Environment · DOI: 10.1016/j.atmosenv.2024.120368
UAV-based monitoring and modeling captured vertical ozone variation during an episode in the Pearl River Delta, informing city-level ozone-control strategy.
2024 · S. Yang, M. A. Ghadikolaei, N. K. Gali, Z. Xu, M. Chu, X. Qin, Z. Ning · Science of the Total Environment · DOI: 10.1016/j.scitotenv.2024.173765
Three fuel-sulfur-content calculation methods for UAV microsensor sniffing of ocean-going vessels were evaluated to improve emission-control-area enforcement.
2023 · N. Raparthi, A. Barudgar, M. Chu, Z. Ning, H. C. Phuleria · Atmospheric Environment · DOI: 10.1016/j.atmosenv.2023.119869
Using low-cost roadside sensors near roads in India for the first time, the study derived individual-vehicle emission factors and found about 14% of high-emitting vehicles produced 37-54% of total emissions.
2023 · P. Brimblecombe, M. Chu, C.-H. Liu, Y. Fu, P. Wei, Z. Ning · Atmospheric Environment · DOI: 10.1016/j.atmosenv.2022.119562
Roadside measurements of individual vehicles quantified primary NO2 and the NO2/NOx ratio in a Hong Kong street canyon, informing exposure and health-risk assessment of kerbside traffic pollution.
2023 · X. Qin, P. Wei, M. A. Ghadikolaei, N. K. Gali, Y. Wang, Z. Ning · Building and Environment · DOI: 10.1016/j.buildenv.2023.110005
A multi-channel particulate sensor network with iterative wavelet decomposition separated local construction-dust emissions from background sources and quantified each contribution.
2023 · Y. Sun, Y. Mai, N. K. Gali, P. Brimblecombe, Z. Ning, D. Gu · Atmospheric Environment · DOI: 10.1016/j.atmosenv.2023.120061
A novel helicopter-based airborne sensing-and-sampling platform profiled near-surface pollutants at multiple heights, giving insight into ozone and VOC transport and formation.
2023 · X. Zhu, Q. Zhang, X. Du, et al., R. Chen, H. Kan, J. Cai · Environmental Health Perspectives · DOI: 10.1289/EHP11139
A randomized crossover study analysed lung function, the airway metabolome and injury biomarkers to characterise the respiratory effects of traffic-related air pollution.
2022 · Y. Sun, P. Brimblecombe, P. Wei, et al., Q. Fu, Z. Ning · Sensors · DOI: 10.3390/s22166005
A taxi-mounted mobile sensor network on 125 Shanghai taxis mapped CO, NO2 and PM2.5 at high spatial resolution, achieving about 80% road coverage with 80-100 taxis.
2022 · X. Du, Q. Zhang, Y. Jiang, et al., R. Chen, H. Kan · Journal of Hazardous Materials · DOI: 10.1016/j.jhazmat.2021.127359
A randomized crossover trial with multi-omics profiling and personal exposure monitoring revealed dynamic molecular responses induced by traffic-related air-pollution exposure.
2022 · Q. Zhang, X. Du, H. Li, et al., R. Chen, H. Kan · Journal of Hazardous Materials · DOI: 10.1016/j.jhazmat.2022.129031
A randomized crossover multi-omics trial, using personal exposure monitoring, linked traffic-related air-pollution exposure to measurable cardiovascular effects.
2022 · S. Li, G. Wang, Y. Geng, W. Wu, X. Duan · Science of the Total Environment · DOI: 10.1016/j.scitotenv.2022.158151
Individual short-term exposure to PM1, PM2.5 and PM10 was associated with lung-function decline in patients with allergic rhinoconjunctivitis, with PM1 showing the strongest association.
2021 · P. Brimblecombe, M. Chu, C.-H. Liu, Z. Ning · Environments · DOI: 10.3390/environments8120137
High-time-resolution roadside sensors captured rapid NOx and CO fluctuations in a busy Hong Kong street canyon, linking short-lived concentration peaks to passing-vehicle exhaust and pedestrian exposure.
2021 · P. Wei, P. Brimblecombe, F. Yang, et al., Z. Ning · Environmental Pollution · DOI: 10.1016/j.envpol.2021.118055
A fixed-route mobile air-sensor network apportioned local traffic emissions from non-local background contributions to on-road and near-road air pollution.
2021 · H. Zong, P. Brimblecombe, L. Sun, P. Wei, et al., Z. Ning · Sensors · DOI: 10.3390/s21144637
Methods were developed to reduce environmental-factor influence on a diffusion-based Personal Exposure Kit (PEK), improving portable low-cost personal exposure monitoring.
2020 · W. W. Che, et al. · Indoor Air · DOI: 10.1111/ina.12725
Real-time PM10, PM2.5, NO2 and O3 monitoring across 32 Hong Kong schools showed infiltrated outdoor air is the dominant driver of classroom pollutant levels, with building and ventilation factors explaining much of the variability.
2020 · W. Che, H. C. Frey, J. C. H. Fung, Z. Ning, et al., A. K. H. Lau · Sustainable Cities and Society · DOI: 10.1016/j.scs.2019.101986
PRAISE-HK is a personalized, real-time air-quality informatics system that delivers street-level exposure and health-risk information to support citizen participation in Hong Kong.
2020 · P. Wei, L. Sun, A. Anand, et al., Z. Ning · Atmospheric Environment · DOI: 10.1016/j.atmosenv.2020.117509
A robust, temperature-sensitive calibration algorithm was developed and validated to correct long-term NO2 gas-sensor network data across space and time.
2019 · X. Qi, et al., Z. Ning, et al. · Atmospheric Environment · DOI: 10.1016/j.atmosenv.2019.04.024
Sensors carried on a tethered airship provided direct measurements of new-particle formation near the top of the planetary boundary layer over eastern China.
2019 · W. W. Che, C. Y. Tso, L. Sun, et al., A. K. H. Lau · Energy & Buildings · DOI: 10.1016/j.enbuild.2019.06.029
Monitoring of a commercial office with a retrofitted HVAC system assessed the co-benefits for energy consumption, thermal comfort and indoor air quality.
2018 · P. Wei, Z. Ning, et al. · Sensors · DOI: 10.3390/s18020059
Systematic analysis quantified how temperature and humidity affect electrochemical CO/NO/NO2 sensor response, informing correction methods for reliable ambient air-quality monitoring.
2016 · L. Sun, K. C. Wong, P. Wei, et al., Z. Ning · Sensors · DOI: 10.3390/s16020211
A next-generation electrochemical air-sensor network with multi-parameter correction (within 5% error) was deployed along the 2015 Hong Kong Marathon route to broadcast real-time, route-specific air quality and AQHI.