Mirón-Mérida, VA, Wu, M, Gong, YY et al. (4 more authors) (2021) Mathematical characterization of ink diffusion and imbibition processes in chromatography paper as a potential biosensing platform. Sensing and Bio-Sensing Research, 32. 100421. p. 100421. ISSN 2214-1804
Abstract
Materials used for biosensor development normally include silicon, glass, and synthetic polymers, however, paper is a practical and cheap option for the reduction of manufacturing costs with a wide range of applications. Paper-based biosensors have been widely produced, yet poorly characterized on the interaction of different type of molecules with its intricate microstructure. In this work, five ink solutions were prepared as model samples to examine their diffusion and imbibition behavior on grade 3MM chromatography paper. Different mathematical models, previously reported for porous matrices, were fitted and results revealed that upward wicking (r2 ≥ 0.90) equations described the experimental data during the initial stage (< 5 s) and yielded similar permeability values to those calculated from the matrix structural properties. The diffusion coefficient was determined up to attaining equilibrium using the diffusion equation in a cylinder element (r2 ≥ 0.90). This study enabled the characterization of the performance from 3MM chromatography paper, by using ink as a surrogate model of small molecules (e.g. mycotoxins) or small colloidal particles.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Chromatography paper; Mathematical model; Wicking; Diffusion |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Colloids and Food Processing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Jul 2021 11:25 |
Last Modified: | 25 Jun 2023 22:42 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.sbsr.2021.100421 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:175951 |