AIMC Topic: Nitrogen Dioxide

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Spatial-temporal distribution and variation of atmospheric NO dry deposition in the Yellow River Basin from 2015 to 2023.

Environmental monitoring and assessment
Nitrogen dioxide (NO) is a major atmospheric pollutant that threatens human health and environmental quality amid rapid urbanization and industrialization. The Yellow River Basin is a heavily populated and economically significant area that is essent...

γ-Graphyne as a Functional 2D Nanoarchitectonics for Room-Temperature Chemiresistive-Potentiometric Sensing Interfaces.

ACS sensors
The development of highly selective gas sensors operating at room temperature with detection capabilities in the parts-per-billion (ppb) range is one of fundamental and technological interest across diverse fields. Conventional sensor arrays often su...

Advancing Air Pollution Exposure Models with Open-Vocabulary Object Detection and Semantic Segmentation of Street-View Images.

Environmental science & technology
Mobile monitoring campaigns combined with land use regression (LUR) models effectively capture fine-scale spatial variations in urban air pollution. However, traditional predictor variables often fail to capture the nuances of the built environment a...

Pocket Electronic Nose Integrating an Ultra-Compact Sensor Array Chip and Spatiotemporal Network Enables Highly Selective Gas Sensing.

ACS sensors
Accurately distinguishing gases with nearly identical molecular structures─such as nitric oxide (NO) and nitrogen dioxide (NO)─remains challenging for conventional sensors. We report a palm-sized (5 cm × 5 cm) electronic nose that integrates an ultra...

A Machine-Learning-Algorithm Enhanced Multi-Functional Gas Sensor for Self-Humidity Compensation and Partial Discharge Detection.

ACS sensors
Gas-Insulated switchgear (GIS) is prone to partial discharges (PDs) in high electric field environments, and the concentration of generated NO is an essential indicator for determining the PD types and severity of faults. Notably, environmental humid...

Evaluating the transferability of low-cost sensor calibration using ANFIS: a field study in Putrajaya, Malaysia.

Environmental monitoring and assessment
This study evaluates the robustness of a previously developed calibration model for low-cost ozone sensors, based on the Adaptive Neuro-Fuzzy Inference System (ANFIS). The model was deployed at a different site without retraining. It was tested in Pu...

Racial and ethnic disparities in exposure to short-term NO air pollution in California during 1980-2022.

Journal of hazardous materials
Historical racial and ethnic disparities in short-term exposure to ambient nitrogen dioxide (NO) have rarely been investigated, primarily due to the lack of spatiotemporally resolved NO data covering the historical period. In this study, we used publ...

Real-Time Gas Identification at Room Temperature Using UV-Modulated Sb-Doped SnO Sensors via Machine Learning.

ACS sensors
This study presents a novel approach for real-time gas identification at room temperature. We use UV-modulated Sb-doped SnO sensors combined with machine learning. Our method exclusively employs the gas response () as the sole metric. This eliminates...

Air Pollution and Autism Spectrum Disorder: Unveiling Multipollutant Risks and Sociodemographic Influences in California.

Environmental health perspectives
BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental condition with increasing prevalence worldwide. Air pollution may be a major contributor to the rise in ASD cases. This study investigated how the risk of ASD associated with prenatal...