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    Statistical Mechanics Transport Model of Magnetic Drug Targeting in Permeable Microvessel

    Source: Journal of Nanotechnology in Engineering and Medicine:;2015:;volume( 006 ):;issue: 001::page 11001
    Author:
    Lin, Xiaohui
    ,
    Zhang, Chibin
    ,
    Li, Kai
    DOI: 10.1115/1.4030787
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A transport model of magnetic drug carrier particles (MDCPs) in permeable microvessel based on statistical mechanics has been developed to investigate capture efficiency (CE) of MDCPs at the tumor position. CassonNewton twofluid model is used to describe the flow of blood in permeable microvessel and the Darcy model is used to characterize the permeable nature of the microvessel. Coupling effect between the interstitial fluid flow and blood flow is considered by using the Starling assumptions in the model. The Boltzmann equation is used to depict the transport of MDCPs in microvessel. The elastic collision effect between MDCPs and red blood cell is incorporated. The distribution of blood flow velocity, blood pressure, interstitial fluid pressure, and MDCPs has been obtained through the coupling solutions of the model. Based on these, the CE of the MDCPs is obtained. Present results show that the CE of the MDCPs will increase with the enhancement of the size of the MDCPs and the external magnetic field intensity. In addition, when the permeability of the inner wall is better and the inlet blood flow velocity is slow, the CE of the MDCPs will increase as well. Close agreements between the predictions and experimental results demonstrate the capability of the model in modeling transport of MDCPs in permeable microvessel.
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      Statistical Mechanics Transport Model of Magnetic Drug Targeting in Permeable Microvessel

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    http://yetl.yabesh.ir/yetl1/handle/yetl/159249
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    contributor authorLin, Xiaohui
    contributor authorZhang, Chibin
    contributor authorLi, Kai
    date accessioned2017-05-09T01:22:10Z
    date available2017-05-09T01:22:10Z
    date issued2015
    identifier issn1949-2944
    identifier othernano_006_01_011001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/159249
    description abstractA transport model of magnetic drug carrier particles (MDCPs) in permeable microvessel based on statistical mechanics has been developed to investigate capture efficiency (CE) of MDCPs at the tumor position. CassonNewton twofluid model is used to describe the flow of blood in permeable microvessel and the Darcy model is used to characterize the permeable nature of the microvessel. Coupling effect between the interstitial fluid flow and blood flow is considered by using the Starling assumptions in the model. The Boltzmann equation is used to depict the transport of MDCPs in microvessel. The elastic collision effect between MDCPs and red blood cell is incorporated. The distribution of blood flow velocity, blood pressure, interstitial fluid pressure, and MDCPs has been obtained through the coupling solutions of the model. Based on these, the CE of the MDCPs is obtained. Present results show that the CE of the MDCPs will increase with the enhancement of the size of the MDCPs and the external magnetic field intensity. In addition, when the permeability of the inner wall is better and the inlet blood flow velocity is slow, the CE of the MDCPs will increase as well. Close agreements between the predictions and experimental results demonstrate the capability of the model in modeling transport of MDCPs in permeable microvessel.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStatistical Mechanics Transport Model of Magnetic Drug Targeting in Permeable Microvessel
    typeJournal Paper
    journal volume6
    journal issue1
    journal titleJournal of Nanotechnology in Engineering and Medicine
    identifier doi10.1115/1.4030787
    journal fristpage11001
    journal lastpage11001
    identifier eissn1949-2952
    treeJournal of Nanotechnology in Engineering and Medicine:;2015:;volume( 006 ):;issue: 001
    contenttypeFulltext
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