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Phenomenological approaches for quantitative temperature-programmed reduction (TPR) and desorption (TPD) analysis

Ros, SD; Valter Flores, KA; Schwaab, M; Barbosa-Coutinho, E; Fernandes, NRC; Pinto, JC; (2021) Phenomenological approaches for quantitative temperature-programmed reduction (TPR) and desorption (TPD) analysis. Journal of Industrial and Engineering Chemistry , 94 pp. 425-434. 10.1016/j.jiec.2020.11.018. Green open access

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Abstract

Temperature-programmed reduction (TPR) and temperature-programmed desorption (TPD) are techniques widely used for catalyst characterization, providing information about active sites. However, results from these experiments are usually interpreted with the aid of empirical models, based on the representation of reduction or desorption profiles as summations of empirical reference curves. In this context, phenomenological approaches can present several advantages over this traditional empirical approach, as in this case the extracted information can be based on theoretical models that allows for a deeper understanding of the catalyst properties. For this reason, in the present work, empirical and phenomenological modelling approaches are evaluated for the quantitative analysis of H2-TPR and NH3-TPD profiles, obtained from the characterization of Ni/SiO2 and Al2O3 alumina catalysts, respectively, and results from both approaches are thoroughly compared and discussed for the first time. Our results, obtained from the fitting of both modelling approaches to the whole experimental profile by using nonlinear regression, indicate that the phenomenological modelling approach can be considered better and should therefore be preferred, as it allows for significantly more accurate quantification and correct discrimination of distinct active sites, in addition to simultaneously enabling the determination of reduction or desorption kinetics parameters.

Type: Article
Title: Phenomenological approaches for quantitative temperature-programmed reduction (TPR) and desorption (TPD) analysis
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jiec.2020.11.018
Publisher version: https://doi.org/10.1016/j.jiec.2020.11.018
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: heterogeneous catalysts, temperature-programmed reduction, temperature-programmed desorption, curve deconvolution, parameter estimation, nonlinear regression
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10116200
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