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Kinetic modeling of heterogeneous esterification reaction using initial reaction rate analysis: data extraction and evaluation of mass transfer criteria
This data article provides detailed guidance to obtain heterogeneous reaction rate expressions and the corresponding initial reaction rates and their application. Explanation is provided to deal with specific criteria to rule out internal and external concentration gradients, so that the usage of in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387780/ https://www.ncbi.nlm.nih.gov/pubmed/32743031 http://dx.doi.org/10.1016/j.dib.2020.106027 |
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author | Heynderickx, Philippe M. Chaemchuen, Somboon Verpoort, Francis |
author_facet | Heynderickx, Philippe M. Chaemchuen, Somboon Verpoort, Francis |
author_sort | Heynderickx, Philippe M. |
collection | PubMed |
description | This data article provides detailed guidance to obtain heterogeneous reaction rate expressions and the corresponding initial reaction rates and their application. Explanation is provided to deal with specific criteria to rule out internal and external concentration gradients, so that the usage of intrinsic catalytic data is guaranteed. Overall, the main goal is to provide an easy tool to evaluate both aforementioned results by simple plug-and-play of available reaction data. |
format | Online Article Text |
id | pubmed-7387780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73877802020-07-31 Kinetic modeling of heterogeneous esterification reaction using initial reaction rate analysis: data extraction and evaluation of mass transfer criteria Heynderickx, Philippe M. Chaemchuen, Somboon Verpoort, Francis Data Brief Chemical Engineering This data article provides detailed guidance to obtain heterogeneous reaction rate expressions and the corresponding initial reaction rates and their application. Explanation is provided to deal with specific criteria to rule out internal and external concentration gradients, so that the usage of intrinsic catalytic data is guaranteed. Overall, the main goal is to provide an easy tool to evaluate both aforementioned results by simple plug-and-play of available reaction data. Elsevier 2020-07-15 /pmc/articles/PMC7387780/ /pubmed/32743031 http://dx.doi.org/10.1016/j.dib.2020.106027 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Chemical Engineering Heynderickx, Philippe M. Chaemchuen, Somboon Verpoort, Francis Kinetic modeling of heterogeneous esterification reaction using initial reaction rate analysis: data extraction and evaluation of mass transfer criteria |
title | Kinetic modeling of heterogeneous esterification reaction using initial reaction rate analysis: data extraction and evaluation of mass transfer criteria |
title_full | Kinetic modeling of heterogeneous esterification reaction using initial reaction rate analysis: data extraction and evaluation of mass transfer criteria |
title_fullStr | Kinetic modeling of heterogeneous esterification reaction using initial reaction rate analysis: data extraction and evaluation of mass transfer criteria |
title_full_unstemmed | Kinetic modeling of heterogeneous esterification reaction using initial reaction rate analysis: data extraction and evaluation of mass transfer criteria |
title_short | Kinetic modeling of heterogeneous esterification reaction using initial reaction rate analysis: data extraction and evaluation of mass transfer criteria |
title_sort | kinetic modeling of heterogeneous esterification reaction using initial reaction rate analysis: data extraction and evaluation of mass transfer criteria |
topic | Chemical Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387780/ https://www.ncbi.nlm.nih.gov/pubmed/32743031 http://dx.doi.org/10.1016/j.dib.2020.106027 |
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