Articles | Volume 10, issue 9
Research article
29 Sep 2017
Research article |  | 29 Sep 2017

Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements

Eben S. Cross, Leah R. Williams, David K. Lewis, Gregory R. Magoon, Timothy B. Onasch, Michael L. Kaminsky, Douglas R. Worsnop, and John T. Jayne


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Mirena Feist-Polner on behalf of the Authors (23 Aug 2017)  Author's response
ED: Referee Nomination & Report Request started (23 Aug 2017) by Gavin Phillips
RR by Anonymous Referee #3 (01 Sep 2017)
ED: Publish as is (01 Sep 2017) by Gavin Phillips
Short summary
Low-cost air quality sensor technologies offer new opportunities for fast and distributed measurements of air pollution, but a persistent characterization gap remains when it comes to evaluating sensor performance under realistic environmental sampling conditions. We present results from a newly developed integrated AQ-sensor system (ARISense) and demonstrate the utility of using high-dimensional model representation to improve the conversion of raw sensor signal to ambient concentration.