A Mini Review on the Recent Progress of MoS2-Based Gas Sensors

Liu, Hongjie; Zhang, Shizhao; Cheng, Qian; Wang, Liwei; Wang, Shaopeng

doi:10.1007/s10562-023-04436-6

Cited by 2 publications

(1 citation statement)

References 44 publications

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“…ZnO nanorods exhibit impressive sensitivity to NH₃ in a wide range of temperatures ( Tonezzer, 2019 ; Lupan et al, 2022 ). Additionally, the molybdenum disulfide (MoS2) modified with reduced graphene oxide (rGO) can also improve the detection sensitivity and selectivity in gas sensors ( Niu et al, 2015 ; Sangeetha and Madhan, 2020 ; Chen et al, 2021 ; Rawat et al, 2021 ; Luo et al, 2022 ; Liu et al, 2023 ) provided a metal oxide based sensors framework for air quality monitoring. Summary of some commonly used metal oxide sensors have been given in Table 3 .…”

Section: Sensors Used For Air Quality Monitoringmentioning

confidence: 99%

Carbon based sensors for air quality monitoring networks; middle east perspective

Shahid,

Shahzad,

Tutsak

et al. 2024

Front. Chem.

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IoT-based Sensors networks play a pivotal role in improving air quality monitoring in the Middle East. They provide real-time data, enabling precise tracking of pollution trends, informed decision-making, and increased public awareness. Air quality and dust pollution in the Middle East region may leads to various health issues, particularly among vulnerable populations. IoT-based Sensors networks help mitigate health risks by offering timely and accurate air quality data. Air pollution affects not only human health but also the region’s ecosystems and contributes to climate change. The economic implications of deteriorated air quality include healthcare costs and decreased productivity, underscore the need for effective monitoring and mitigation. IoT-based data can guide policymakers to align with Sustainable Development Goals (SDGs) related to health, clean water, and climate action. The conventional monitor based standard air quality instruments provide limited spatial coverage so there is strong need to continue research integrated with low-cost sensor technologies to make air quality monitoring more accessible, even in resource-constrained regions. IoT-based Sensors networks monitoring helps in understanding these environmental impacts. Among these IoT-based Sensors networks, sensors are of vital importance. With the evolution of sensors technologies, different types of sensors materials are available. Among this carbon based sensors are widely used for air quality monitoring. Carbon nanomaterial-based sensors (CNS) and carbon nanotubes (CNTs) as adsorbents exhibit unique capabilities in the measurement of air pollutants. These sensors are used to detect gaseous pollutants that includes oxides of nitrogen and Sulphur, and ozone, and volatile organic compounds (VOCs). This study provides comprehensive review of integration of carbon nanomaterials based sensors in IoT based network for better air quality monitoring and exploring the potential of machine learning and artificial intelligence for advanced data analysis, pollution source identification, integration of satellite and ground-based networks and future forecasting to design effective mitigation strategies. By prioritizing these recommendations, the Middle East and other regions, can further leverage IoT-based systems to improve air quality monitoring, safeguard public health, protect the environment, and contribute to sustainable development in the region.

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