Nonlinear Regression Algorithm for Processing Signals from Semiconductor Chemical Sensors to Provide Selective Detection of Impurities in Artificial Air

A new method has been developed for processing the signal of changes in electrical conductivity Δσ under temperature ( T ) modulation of a chemical sensor for the selective determination of trace concentrations of ammonia, acetone, n-hexane, propane, toluene, and other impurities in air. The method...

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Veröffentlicht in:	Technical physics letters 2021-03, Vol.47 (3), p.266-270
Hauptverfasser:	Chistyakov, V. V., Kazakov, S. A., Grevtsev, M. A., Soloviev, S. M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Ammonia Chemical sensors Classical and Continuum Physics Electrical resistivity Hexanes Impurities Physics Physics and Astronomy Selectivity Signal processing Toluene Units of measurement
Online-Zugang:	Volltext
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