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Citation
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HERO ID
7717170
Reference Type
Journal Article
Title
AIRduino: On-demand atmospheric secondary organic aerosol measurements with a mobile Arduino multisensor
Author(s)
Rodriguez-Vasquez, KA; Cole, AM; Yordanova, D; Smith, R; Kidwell, NM
Year
2020
Is Peer Reviewed?
Yes
Journal
Journal of Chemical Education
ISSN:
0021-9584
Volume
97
Issue
3
Page Numbers
838-844
Language
English
DOI
10.1021/acs.jchemed.9b00744
Web of Science Id
WOS:000526413900035
Abstract
To empower high school and undergraduate students to become citizen scientists, we describe the design, construction, and operation of a multisensor device based on Arduino microcontroller technology to record atmospheric measurements relevant to secondary organic aerosols (SOAs). The handheld "AIRduino" multisensor device was built and deployed by undergraduate and high school students to simultaneously measure the concentrations of ozone (O-3), volatile organic compounds (VOCs), temperature, humidity, and aerosol particulate matter with 2.5 and 10 mu m diameters (PM2.5 and PM10). Paired with a smartphone via Bluetooth, the data are streamed in real-time to an app interface for on-demand SOA profiling, and the results are recorded with on-board storage using a storage device (SD) card. Furthermore, the AIRduino SOA measurements are calibrated with the regional atmospheric data from the CAPABLE site at the NASA Langley Research Center. Subsequently, the regional chemistry composition was monitored for several days with the AIRduino device to correlate gas-phase molecule concentrations to the formation of aerosols. The mobile AIRduino multisensor device is low-cost and readily accessible for students, thus making it an ideal vehicle to obtain crowd-sourced SOA measurements and to foster excitement in science, technology, engineering, and mathematics.
Keywords
High School/Introductory Chemistry; First-Year Undergraduate/General; Second-Year Undergraduate; Upper-Division Undergraduate; Analytical Chemistry; Environmental Chemistry; Physical Chemistry; Hands-On Learning/Manipulatives
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