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A Simple Methodology to Estimate the Diffusion Coefficient in Pervaporation-Based Purification Experiments
A procedure to estimate the diffusion coefficient in solution–diffusion models of hydrophilic membranes used in pervaporation-based purification experiments is presented. The model is based on a series solution of the general permeation problem. It considers a membrane that can be filled with water...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419206/ https://www.ncbi.nlm.nih.gov/pubmed/30960326 http://dx.doi.org/10.3390/polym11020343 |
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author | Dudek, Gabriela Borys, Przemysław |
author_facet | Dudek, Gabriela Borys, Przemysław |
author_sort | Dudek, Gabriela |
collection | PubMed |
description | A procedure to estimate the diffusion coefficient in solution–diffusion models of hydrophilic membranes used in pervaporation-based purification experiments is presented. The model is based on a series solution of the general permeation problem. It considers a membrane that can be filled with water or with the feed solution before the measurement. Furthermore, the length of the tubing between the permeation cell and the place of cold traps is also addressed. To illustrate the parameter estimation procedure, we have chosen the data for the separation of water and ethanol by chitosan membranes. It is shown that the diffusion coefficient can be estimated effectively from the time course of the transported mass and by the analysis of certain well defined time lags of the permeation curve. |
format | Online Article Text |
id | pubmed-6419206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64192062019-04-02 A Simple Methodology to Estimate the Diffusion Coefficient in Pervaporation-Based Purification Experiments Dudek, Gabriela Borys, Przemysław Polymers (Basel) Article A procedure to estimate the diffusion coefficient in solution–diffusion models of hydrophilic membranes used in pervaporation-based purification experiments is presented. The model is based on a series solution of the general permeation problem. It considers a membrane that can be filled with water or with the feed solution before the measurement. Furthermore, the length of the tubing between the permeation cell and the place of cold traps is also addressed. To illustrate the parameter estimation procedure, we have chosen the data for the separation of water and ethanol by chitosan membranes. It is shown that the diffusion coefficient can be estimated effectively from the time course of the transported mass and by the analysis of certain well defined time lags of the permeation curve. MDPI 2019-02-15 /pmc/articles/PMC6419206/ /pubmed/30960326 http://dx.doi.org/10.3390/polym11020343 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dudek, Gabriela Borys, Przemysław A Simple Methodology to Estimate the Diffusion Coefficient in Pervaporation-Based Purification Experiments |
title | A Simple Methodology to Estimate the Diffusion Coefficient in Pervaporation-Based Purification Experiments |
title_full | A Simple Methodology to Estimate the Diffusion Coefficient in Pervaporation-Based Purification Experiments |
title_fullStr | A Simple Methodology to Estimate the Diffusion Coefficient in Pervaporation-Based Purification Experiments |
title_full_unstemmed | A Simple Methodology to Estimate the Diffusion Coefficient in Pervaporation-Based Purification Experiments |
title_short | A Simple Methodology to Estimate the Diffusion Coefficient in Pervaporation-Based Purification Experiments |
title_sort | simple methodology to estimate the diffusion coefficient in pervaporation-based purification experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419206/ https://www.ncbi.nlm.nih.gov/pubmed/30960326 http://dx.doi.org/10.3390/polym11020343 |
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