Shahid Saim, Brown David J, Wright Philip, Khasawneh Ahmad M, Taylor Bryn, Kaiwartya Omprakash
Department of Computer Science, Nottingham Trent University, Nottingham NG1 8NS, UK.
Cobac Security Limited, The Granary, Church Street, Thrumpton, Nottingham NG11 0AX, UK.
Sensors (Basel). 2025 Mar 26;25(7):2070. doi: 10.3390/s25072070.
Recently, Air Quality Monitoring (AQM) has gained significant R&D attention from academia and industries, leading to advanced sensor-enabled IoT solutions. Literature highlights the use of nanomaterials in sensor design, emphasising miniaturisation, enhanced calibration, and low voltage, room-temperature operation. Significant efforts are aimed at improving sensitivity, selectivity, and stability, while addressing challenges like high power consumption and drift. The integration of sensors with IoT technology is driving the development of accurate, scalable, and real-time AQM systems. This paper provides technical insights into recent AQM advancements, focusing on air pollutants, sensor technologies, IoT frameworks, performance evaluation, and future research directions. It presents a detailed analysis of air quality composition and potential air pollutants. Relevant sensors are examined in terms of design, materials and methodologies for pollutant monitoring. A critical review of IoT frameworks for AQM is conducted, highlighting their strengths and weaknesses. As a technical contribution, an experimental performance evaluation of three commercially available AQM systems in the UK is discussed, with a comparative and critical analysis of the results. Lastly, future research directions are also explored with a focus on AQM sensor design and IoT framework development.
最近，空气质量监测（AQM）已引起学术界和行业在研发方面的高度关注，催生了先进的基于传感器的物联网解决方案。文献强调了纳米材料在传感器设计中的应用，着重于小型化、改进校准以及低电压室温运行。大量工作致力于提高灵敏度、选择性和稳定性，同时应对高功耗和漂移等挑战。传感器与物联网技术的集成推动了精确、可扩展且实时的空气质量监测系统的发展。本文提供了对近期空气质量监测进展的技术见解，重点关注空气污染物、传感器技术、物联网框架、性能评估以及未来研究方向。它对空气质量成分和潜在空气污染物进行了详细分析。从污染物监测的设计、材料和方法方面对相关传感器进行了研究。对用于空气质量监测的物联网框架进行了批判性综述，突出了它们的优缺点。作为一项技术贡献，讨论了英国三种商用空气质量监测系统的实验性能评估，并对结果进行了比较和批判性分析。最后，还探索了未来的研究方向，重点是空气质量监测传感器设计和物联网框架开发。
