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Sensors 2015, 15(10), 27283-27302; doi:10.3390/s151027283

Quantification Method for Electrolytic Sensors in Long-Term Monitoring of Ambient Air Quality

Department of Mechanical Engineering, University of Colorado at Boulder, 427 UCB 111 Engineering Drive, Boulder, CO 80309, USA
These authors contributed equally to this work.
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Author to whom correspondence should be addressed.
Academic Editor: Michael Tiemann
Received: 24 August 2015 / Revised: 16 October 2015 / Accepted: 20 October 2015 / Published: 27 October 2015
(This article belongs to the Special Issue Gas Sensors—Designs and Applications)
View Full-Text   |   Download PDF [4871 KB, uploaded 27 October 2015]   |  

Abstract

Traditional air quality monitoring relies on point measurements from a small number of high-end devices. The recent growth in low-cost air sensing technology stands to revolutionize the way in which air quality data are collected and utilized. While several technologies have emerged in the field of low-cost monitoring, all suffer from similar challenges in data quality. One technology that shows particular promise is that of electrolytic (also known as amperometric) sensors. These sensors produce an electric current in response to target pollutants. This work addresses the development of practical models for understanding and quantifying the signal response of electrolytic sensors. Such models compensate for confounding effects on the sensor response, such as ambient temperature and humidity, and address other issues that affect the usability of low-cost sensors, such as sensor drift and inter-sensor variability View Full-Text
Keywords: electrolytic; amperometric; air quality; pollution; monitor; quantification model electrolytic; amperometric; air quality; pollution; monitor; quantification model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Masson, N.; Piedrahita, R.; Hannigan, M. Quantification Method for Electrolytic Sensors in Long-Term Monitoring of Ambient Air Quality. Sensors 2015, 15, 27283-27302.

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