Masters Theses

Author

Guohua Li

Abstract

"A very important parameter that influences the effectiveness of the micro dialysis sampling data, lag time, is related to the transport processes in the Mico dialysis system. In this thesis, a closed-loop micro dialysis sampling system, coupled with sensor as a glucose detector, was modeled by the computational fluid dynamics method. The glucose equilibrium time in the system, which determines system equilibrium time, was calculated, various factors that influence the system equilibrium time ware investigated and several conclusions were found. The glucose diffusivity through the membrane is the single most important factor that influences equilibrium time, as mass transfer in the system is limited by the glucose diffusion in the membrane. A membrane with a higher glucose diffusivity can reduce the system equilibrium time. Membrane length also influences equilibrium time significantly as a longer membrane can increase the amount of glucose transferred from the extracellular fluid per pass, thus shortening the equilibrium time. Circulation rate and enzyme reactivity have almost no impact on the equilibrium time as their effect on the mass transfer in the system is much smaller than the glucose diffusivity in the membrane"--Abstract, page iii.

Advisor(s)

Henthorn, David

Committee Member(s)

Ludlow, Douglas K.
Kim, Chang-Soo

Department(s)

Chemical and Biochemical Engineering

Degree Name

M.S. in Chemical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Fall 2006

Pagination

ix, 53 pages

Note about bibliography

Includes bibliographical references (pages 50-52)

Rights

© 2006 Guohua Li, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Subject Headings

Brain micro dialysisFluid dynamics -- Mathematical modelsTransport theory

Thesis Number

T 9108

Print OCLC #

124084058

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