These are preliminary reports that have not been peer-reviewed. They should not be regarded as conclusive, guide clinical practice/health-related behavior, or be reported in news media as established information. For more information, please see our FAQs.
Chemical Space Mapping for Multicomponent Gas Mixtures
preprintsubmitted 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.