Quantitative structure-property relationship approach to predicting xylene separation with diverse exchanged faujasites

Streamlining the xylene separation process on faujasites is a promising way to design innovative adsorbents for this application. For this purpose, we present herein an original quantitative structure-property relationship (QSPR) approach. It deals with the development of a multi-linear predictive m...

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Veröffentlicht in:	Physical chemistry chemical physics : PCCP 2018, Vol.2 (36), p.23773-23782
Hauptverfasser:	Khabzina, Y, Laroche, C, Pérez-Pellitero, J, Farrusseng, D
Format:	Artikel
Sprache:	eng
Schlagworte:	Adsorbents Adsorption Catalysis Cations Chemical Sciences Correlation coefficients Design of experiments Discriminant analysis Environment and Society Environmental Sciences Prediction models Principal components analysis Regression analysis Regression models Selectivity Separation Statistical analysis Statistical methods Streamlining Xylene
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