Date of Graduation
5-2013
Document Type
Thesis
Degree Name
Master of Science in Microelectronics-Photonics (MS)
Degree Level
Graduate
Department
Microelectronics-Photonics
Advisor/Mentor
Ken Vickers
Committee Member
Paul David
Second Committee Member
Rick Ulrich
Keywords
Pure sciences, Microdialysis, Recycled flow
Abstract
Incomplete recovery during microdialysis sampling is hindering important research in neurology, proteomics, and immunology. Although the current generalized solution, decreasing volumetric flow rates (Q), has been and will remain to be a useful strategy it has reached it's a physical limitation due to evaporation at the collection site. Consequently, many important signaling molecules, such as signaling proteins, remain difficult to study. It is more fundamental to consider relative recovery as a function of the interaction time between the perfusate and the environment surrounding the probe.
In this work an increase in relative recovery was predicted by a mathematical model. Using recycled flow and flow reversal an increase in extraction efficiency was achieved at constant Q. It was observed that the recovery increase decrease as the number of passes increase.
Citation
Deaton, J. C. (2013). Improvements in Microdialysis Sampling Extraction Efficiency Using Recycled Flow. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/814