Optimization of the cell microenvironment in a dual magnetic-pH-sensitive hydrogel-based scaffold by multiphysics modeling

A dual magnetic-pH-sensitive hydrogel-based scaffold was studied for optimization of a cell microenvironment by scaffold mechanical deformation and its biochemical response. In particular, the positions of the seeding cells and the concentration of potassium (K+) within the scaffold were optimized b...

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Main Authors: Liu, Qimin, Li, Hua, Lam, Khin Yong
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/142994
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author Liu, Qimin
Li, Hua
Lam, Khin Yong
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Liu, Qimin
Li, Hua
Lam, Khin Yong
author_sort Liu, Qimin
collection NTU
description A dual magnetic-pH-sensitive hydrogel-based scaffold was studied for optimization of a cell microenvironment by scaffold mechanical deformation and its biochemical response. In particular, the positions of the seeding cells and the concentration of potassium (K+) within the scaffold were optimized by a multieffect-coupling magnetic-pH-stimuli (MECmpH) model based on (i) the threshold of the mechanical force required for a mechanotransduction effect at the cellular level, and (ii) the common biological requirement for cell growth. In this model, the physicochemical mechanisms of a magnetic hydrogel were characterized using magneto-chemo-electro-mechanical coupled effects, including hydrogel magnetization, diffusion of the solvent and ions, ionic polarization, and nonlinear deformation. After validation of the model with experimental data, it was found that a higher pH and current intensity at the electromagnet and a shorter hydrogel-magnet distance contribute to larger scaffold deformation and thus a stronger mechanical force on the cells. Moreover, the cell seeding positions within the magnetic scaffold were optimized for improved cell culture through controlled current intensity in the electromagnet. Furthermore, the physiological concentration of K+ was also optimized by the initial fixed charge density within the scaffold. We concluded that this optimized magnetic scaffold via the MECmpH model may provide an appropriate microenvironment for efficient cell growth.
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spelling ntu-10356/1429942023-03-04T17:21:11Z Optimization of the cell microenvironment in a dual magnetic-pH-sensitive hydrogel-based scaffold by multiphysics modeling Liu, Qimin Li, Hua Lam, Khin Yong School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Dual Magnetic-pH-sensitive Hydrogel Cell Microenvironment A dual magnetic-pH-sensitive hydrogel-based scaffold was studied for optimization of a cell microenvironment by scaffold mechanical deformation and its biochemical response. In particular, the positions of the seeding cells and the concentration of potassium (K+) within the scaffold were optimized by a multieffect-coupling magnetic-pH-stimuli (MECmpH) model based on (i) the threshold of the mechanical force required for a mechanotransduction effect at the cellular level, and (ii) the common biological requirement for cell growth. In this model, the physicochemical mechanisms of a magnetic hydrogel were characterized using magneto-chemo-electro-mechanical coupled effects, including hydrogel magnetization, diffusion of the solvent and ions, ionic polarization, and nonlinear deformation. After validation of the model with experimental data, it was found that a higher pH and current intensity at the electromagnet and a shorter hydrogel-magnet distance contribute to larger scaffold deformation and thus a stronger mechanical force on the cells. Moreover, the cell seeding positions within the magnetic scaffold were optimized for improved cell culture through controlled current intensity in the electromagnet. Furthermore, the physiological concentration of K+ was also optimized by the initial fixed charge density within the scaffold. We concluded that this optimized magnetic scaffold via the MECmpH model may provide an appropriate microenvironment for efficient cell growth. Accepted version 2020-07-20T04:38:37Z 2020-07-20T04:38:37Z 2019 Journal Article Liu, Q., Li, H., & Lam, K. Y. (2019). Optimization of the cell microenvironment in a dual magnetic-pH-sensitive hydrogel-based scaffold by multiphysics modeling. Bioelectrochemistry, 129, 90-99. doi:10.1016/j.bioelechem.2019.05.004 1567-5394 https://hdl.handle.net/10356/142994 10.1016/j.bioelechem.2019.05.004 31132529 2-s2.0-85066055709 129 90 99 en Bioelectrochemistry © 2019 Elsevier B.V. All rights reserved. This paper was published in Bioelectrochemistry and is made available with permission of Elsevier B.V. application/pdf
spellingShingle Engineering::Mechanical engineering
Dual Magnetic-pH-sensitive Hydrogel
Cell Microenvironment
Liu, Qimin
Li, Hua
Lam, Khin Yong
Optimization of the cell microenvironment in a dual magnetic-pH-sensitive hydrogel-based scaffold by multiphysics modeling
title Optimization of the cell microenvironment in a dual magnetic-pH-sensitive hydrogel-based scaffold by multiphysics modeling
title_full Optimization of the cell microenvironment in a dual magnetic-pH-sensitive hydrogel-based scaffold by multiphysics modeling
title_fullStr Optimization of the cell microenvironment in a dual magnetic-pH-sensitive hydrogel-based scaffold by multiphysics modeling
title_full_unstemmed Optimization of the cell microenvironment in a dual magnetic-pH-sensitive hydrogel-based scaffold by multiphysics modeling
title_short Optimization of the cell microenvironment in a dual magnetic-pH-sensitive hydrogel-based scaffold by multiphysics modeling
title_sort optimization of the cell microenvironment in a dual magnetic ph sensitive hydrogel based scaffold by multiphysics modeling
topic Engineering::Mechanical engineering
Dual Magnetic-pH-sensitive Hydrogel
Cell Microenvironment
url https://hdl.handle.net/10356/142994
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AT lihua optimizationofthecellmicroenvironmentinadualmagneticphsensitivehydrogelbasedscaffoldbymultiphysicsmodeling
AT lamkhinyong optimizationofthecellmicroenvironmentinadualmagneticphsensitivehydrogelbasedscaffoldbymultiphysicsmodeling