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安培气体传感器作为一种低成本的新兴技术平台,在空气质量监测应用中具有广阔的前景:综述。

Amperometric Gas Sensors as a Low Cost Emerging Technology Platform for Air Quality Monitoring Applications: A Review.

机构信息

Alphasense Ltd , Sensor Technology House, 300 Avenue West, Great Notley, Essex CM77 7AA, United Kingdom.

出版信息

ACS Sens. 2017 Nov 22;2(11):1553-1566. doi: 10.1021/acssensors.7b00620. Epub 2017 Oct 26.

DOI:10.1021/acssensors.7b00620
PMID:29025261
Abstract

This review examines the use of amperometric electrochemical gas sensors for monitoring inorganic gases that affect urban air quality. First, we consider amperometric gas sensor technology including its development toward specifically designed air quality sensors. We then review recent academic and research organizations' studies where this technology has been trialed for air quality monitoring applications: early studies showed the potential of electrochemical gas sensors when colocated with reference Air Quality Monitoring (AQM) stations. Spatially dense networks with fast temporal resolution provide information not available from sparse AQMs with longer recording intervals. We review how this technology is being offered as commercial urban air quality networks and consider the remaining challenges. Sensors must be sensitive, selective, and stable; air quality monitors/nodes must be electronically and mechanically well designed. Data correction is required and models with differing levels of sophistication are being designed. Data analysis and validation is possibly the biggest remaining hurdle needed to deliver reliable concentration readings. Finally, this review also considers the roles of companies, urban infrastructure requirements, and public research in the development of this technology.

摘要

本综述探讨了安培电化学气体传感器在监测影响城市空气质量的无机气体方面的应用。首先,我们考虑了安培气体传感器技术,包括其向专门设计的空气质量传感器的发展。然后,我们回顾了最近学术和研究组织在空气质量监测应用中试用该技术的研究:早期的研究表明,当电化学气体传感器与参考空气质量监测(AQM)站并置时,具有监测潜力。具有快速时间分辨率的空间密集网络提供了从具有较长记录间隔的稀疏 AQM 中不可用的信息。我们回顾了这项技术如何作为商业城市空气质量网络提供,并考虑了剩余的挑战。传感器必须具有灵敏度、选择性和稳定性;空气质量监测器/节点必须具有良好的电子和机械设计。需要进行数据校正,并且正在设计具有不同复杂程度的模型。数据分析和验证可能是提供可靠浓度读数所需的最大剩余障碍。最后,本综述还考虑了公司、城市基础设施要求和公共研究在该技术发展中的作用。

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