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Manuscript.pdf (2.27 MB)

Chemical Space Mapping for Multicomponent Gas Mixtures

preprint
submitted on 19.02.2021, 11:19 and posted on 22.02.2021, 05:53 by Airat Kotliar-Shapirov, Fedor S. Fedorov, Henni Ouerdane, Stanislav Evlashin, Albert G. Nasibulin, Keith J. Stevenson
In our manuscript, we present our protocol for data processing to mitigate the effects of interfering analytes on the identification of the chemical species detected by sensors. Considering NO2 and CO2, we designed electrochemical sensors whose response yielded the cyclic voltammetry data that we analyzed to classify single-species components and their mixtures using a data-driven approach to generate a chemical space where their mixtures can be deconvoluted.

History

Email Address of Submitting Author

h.ouerdane@skoltech.ru

Institution

Skolkovo Institute of Science and Technology

Country

Russia

ORCID For Submitting Author

0000-0002-1914-0244

Declaration of Conflict of Interest

The authors declare no conflict of interests.

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