Application of Logistic Regression Analysis to Combustion of Toluene over γ-Alumina-supported Platinum Catalyst

Catalytic combustion of an organic compound is characterized by an S-shaped curve for the temperature dependence of the reaction. Expression of this S-shaped curve with a mathematical function would allow highly accurate analysis based on a small number of data points. This study used toluene combus...

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Veröffentlicht in:Journal of the Japan Petroleum Institute 2021/11/01, Vol.64(6), pp.340-343
Hauptverfasser: NAGATA, Hideo, IZUMI, Sakiho, YAMASHITA, Rina, JOHNO, Yuki
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container_title Journal of the Japan Petroleum Institute
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creator NAGATA, Hideo
IZUMI, Sakiho
YAMASHITA, Rina
JOHNO, Yuki
description Catalytic combustion of an organic compound is characterized by an S-shaped curve for the temperature dependence of the reaction. Expression of this S-shaped curve with a mathematical function would allow highly accurate analysis based on a small number of data points. This study used toluene combustion over a γ-alumina-supported platinum catalyst as an example of a catalytic combustion reaction, and investigated whether the temperature dependence of the toluene conversion could be expressed by a logistic function. The parameters were obtained from the reaction data using a single regression analysis. The logistic function well represented the experimental data using the linear relationship as the function of temperature. Furthermore, the temperature at which the toluene conversion reaches 50 % can be objectively determined.
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subjects Aluminum oxide
Catalysts
Combustion
Conversion
Data points
Logistic regression analysis
Mathematical functions
Organic compounds
Platinum
Platinum catalyst
Regression analysis
S curves
Temperature
Temperature dependence
Toluene
Toluene combustion
Transitional aluminas
title Application of Logistic Regression Analysis to Combustion of Toluene over γ-Alumina-supported Platinum Catalyst
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