TY - JOUR
T1 - Multiscale modeling of protein transport in silicon membrane nanochannels. Part 2. From molecular parameters to a predictive continuum diffusion model
AU - Amato, Francesco
AU - Cosentino, Carlo
AU - Pricl, Sabrina
AU - Ferrone, Marco
AU - Fermeglia, Maurizio
AU - Cheng, Mark Ming Cheng
AU - Walczak, Robert
AU - Ferrari, Mauro
N1 - Funding Information:
Acknowledgments MCC, RW and MF are grateful to the National Cancer Institute and BRTT of the State of Ohio for their support of this work. This project has been partially funded by National Cancer Institute, National Institute of Health under Contract No. NO1-CO-12400. SP, MF and MF acknowledge the generous financial support from the Italian Association for Cancer Research (AIRC), grant 2955.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2006/12
Y1 - 2006/12
N2 - Transport and surface interactions of proteins in nanopore membranes play a key role in many processes of biomedical importance. Although the use of porous materials provides a large surface-to-volume ratio, the efficiency of the operations is often determined by transport behavior, and this is complicated by the fact that transport paths (i.e., the pores) are frequently of molecular dimensions. Under these conditions, a protein diffusion can be slower than predicted from Fick law. The main contribution of this paper is the development of a mathematical model of this phenomenon, whose parameters are computed via molecular modeling, as described Part 1. Our multiscale modeling methodology, validated by using experimental results related to the diffusion of lysozyme molecules, constitutes an "ab initio" recipe, for which no experimental data are needed to predict the protein release, and can be tailored in principle to match any different protein and any different surface, thus filling gap between the nano and the macroscale.
AB - Transport and surface interactions of proteins in nanopore membranes play a key role in many processes of biomedical importance. Although the use of porous materials provides a large surface-to-volume ratio, the efficiency of the operations is often determined by transport behavior, and this is complicated by the fact that transport paths (i.e., the pores) are frequently of molecular dimensions. Under these conditions, a protein diffusion can be slower than predicted from Fick law. The main contribution of this paper is the development of a mathematical model of this phenomenon, whose parameters are computed via molecular modeling, as described Part 1. Our multiscale modeling methodology, validated by using experimental results related to the diffusion of lysozyme molecules, constitutes an "ab initio" recipe, for which no experimental data are needed to predict the protein release, and can be tailored in principle to match any different protein and any different surface, thus filling gap between the nano and the macroscale.
KW - Multiscale modeling
KW - Nanochannel membranes
KW - Non-Fickian release
KW - Protein transport
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U2 - 10.1007/s10544-006-0032-1
DO - 10.1007/s10544-006-0032-1
M3 - Article
C2 - 17003963
AN - SCOPUS:33750716068
SN - 1387-2176
VL - 8
SP - 291
EP - 298
JO - Biomedical Microdevices
JF - Biomedical Microdevices
IS - 4
ER -