Using mathematical models to understand the effect of nanoscale roughness on protein adsorption for improving medical devices

Batur Ercan,1 Dongwoo Khang,2 Joseph Carpenter,3 Thomas J Webster1 1Department of Chemical Engineering, Northeastern University, Boston, MA, USA; 2School of Materials Science and Engineering and Center for PRC and RIGET, Gyeongsang National University, Jinju, South Korea; 3School of Medicine, Stanfo...

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Autores principales:	Ercan B, Khang D, Carpenter J, Webster TJ
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2013
Materias:	Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/0de27a49029743e7971513b7bf8d769a
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spelling	oai:doaj.org-article:0de27a49029743e7971513b7bf8d769a2021-12-02T06:32:00ZUsing mathematical models to understand the effect of nanoscale roughness on protein adsorption for improving medical devices1176-91141178-2013https://doaj.org/article/0de27a49029743e7971513b7bf8d769a2013-09-01T00:00:00Zhttp://www.dovepress.com/using-mathematical-models-to-understand-the-effect-of-nanoscale-roughn-a14362https://doaj.org/toc/1176-9114https://doaj.org/toc/1178-2013Batur Ercan,1 Dongwoo Khang,2 Joseph Carpenter,3 Thomas J Webster1 1Department of Chemical Engineering, Northeastern University, Boston, MA, USA; 2School of Materials Science and Engineering and Center for PRC and RIGET, Gyeongsang National University, Jinju, South Korea; 3School of Medicine, Stanford University, Stanford, CA, USA Abstract: Surface roughness and energy significantly influence protein adsorption on to biomaterials, which, in turn, controls select cellular adhesion to determine the success and longevity of an implant. To understand these relationships at a fundamental level, a model was originally proposed by Khang et al to correlate nanoscale surface properties (specifically, nanoscale roughness and energy) to protein adsorption, which explained the greater cellular responses on nanostructured surfaces commonly reported in the literature today. To test this model for different surfaces from what was previously used to develop that model, in this study we synthesized highly ordered poly(lactic-co-glycolic acid) surfaces of identical chemistry but altered nanoscale surface roughness and energy using poly(dimethylsiloxane) molds of polystyrene beads. Fibronectin and collagen type IV adsorption studies showed a linear adsorption behavior as the surface nanoroughness increased. This supported the general trends observed by Khang et al. However, when fitting such data to the mathematical model established by Khang et al, a strong correlation did not result. Thus, this study demonstrated that the equation proposed by Khang et al to predict protein adsorption should be modified to accommodate for additional nanoscale surface property contributions (ie, surface charge) to make the model more accurate. In summary, results from this study provided an important step in developing future mathematical models that can correlate surface properties (such as nanoscale roughness and surface energy) to initial protein adsorption events important to promote select cellular adhesion. These criteria are critical for the fundamental understanding of the now well-documented increased tissue growth on nanoscale materials. Keywords: nanophase topography, surface energy, collagen type IV, fibronectin, adsorption, modeling, nanoscale roughness, proteinsErcan BKhang DCarpenter JWebster TJDove Medical PressarticleMedicine (General)R5-920ENInternational Journal of Nanomedicine, Vol 2013, Iss Supplement 1 Nanoinformatics, Pp 75-81 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920
spellingShingle	Medicine (General) R5-920 Ercan B Khang D Carpenter J Webster TJ Using mathematical models to understand the effect of nanoscale roughness on protein adsorption for improving medical devices
description	Batur Ercan,1 Dongwoo Khang,2 Joseph Carpenter,3 Thomas J Webster1 1Department of Chemical Engineering, Northeastern University, Boston, MA, USA; 2School of Materials Science and Engineering and Center for PRC and RIGET, Gyeongsang National University, Jinju, South Korea; 3School of Medicine, Stanford University, Stanford, CA, USA Abstract: Surface roughness and energy significantly influence protein adsorption on to biomaterials, which, in turn, controls select cellular adhesion to determine the success and longevity of an implant. To understand these relationships at a fundamental level, a model was originally proposed by Khang et al to correlate nanoscale surface properties (specifically, nanoscale roughness and energy) to protein adsorption, which explained the greater cellular responses on nanostructured surfaces commonly reported in the literature today. To test this model for different surfaces from what was previously used to develop that model, in this study we synthesized highly ordered poly(lactic-co-glycolic acid) surfaces of identical chemistry but altered nanoscale surface roughness and energy using poly(dimethylsiloxane) molds of polystyrene beads. Fibronectin and collagen type IV adsorption studies showed a linear adsorption behavior as the surface nanoroughness increased. This supported the general trends observed by Khang et al. However, when fitting such data to the mathematical model established by Khang et al, a strong correlation did not result. Thus, this study demonstrated that the equation proposed by Khang et al to predict protein adsorption should be modified to accommodate for additional nanoscale surface property contributions (ie, surface charge) to make the model more accurate. In summary, results from this study provided an important step in developing future mathematical models that can correlate surface properties (such as nanoscale roughness and surface energy) to initial protein adsorption events important to promote select cellular adhesion. These criteria are critical for the fundamental understanding of the now well-documented increased tissue growth on nanoscale materials. Keywords: nanophase topography, surface energy, collagen type IV, fibronectin, adsorption, modeling, nanoscale roughness, proteins
format	article
author	Ercan B Khang D Carpenter J Webster TJ
author_facet	Ercan B Khang D Carpenter J Webster TJ
author_sort	Ercan B
title	Using mathematical models to understand the effect of nanoscale roughness on protein adsorption for improving medical devices
title_short	Using mathematical models to understand the effect of nanoscale roughness on protein adsorption for improving medical devices
title_full	Using mathematical models to understand the effect of nanoscale roughness on protein adsorption for improving medical devices
title_fullStr	Using mathematical models to understand the effect of nanoscale roughness on protein adsorption for improving medical devices
title_full_unstemmed	Using mathematical models to understand the effect of nanoscale roughness on protein adsorption for improving medical devices
title_sort	using mathematical models to understand the effect of nanoscale roughness on protein adsorption for improving medical devices
publisher	Dove Medical Press
publishDate	2013
url	https://doaj.org/article/0de27a49029743e7971513b7bf8d769a
work_keys_str_mv	AT ercanb usingmathematicalmodelstounderstandtheeffectofnanoscaleroughnessonproteinadsorptionforimprovingmedicaldevices AT khangd usingmathematicalmodelstounderstandtheeffectofnanoscaleroughnessonproteinadsorptionforimprovingmedicaldevices AT carpenterj usingmathematicalmodelstounderstandtheeffectofnanoscaleroughnessonproteinadsorptionforimprovingmedicaldevices AT webstertj usingmathematicalmodelstounderstandtheeffectofnanoscaleroughnessonproteinadsorptionforimprovingmedicaldevices
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Using mathematical models to understand the effect of nanoscale roughness on protein adsorption for improving medical devices

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