Full metadata
Title
Six Sigma Design and Analysis for Point of Care Diagnostics
Description
This work focuses on qualifying the performance of an optoelectrical measurement system designed to analyze ribonucleic acid (RNA) within a micro sample. The system is capable of measuring light intensity converted to voltage versus time and is a fast, inexpensive, and portable method for rapid detection of biologics such as SARS-CoV-2 virus, or Covid-19 disease. The measurement system consists of a microfluidic chip and a point of care fluorescent reader.The intent of this research is to measure consistency and robustness of the fluorescent reader combined with the microfluidic chip. The consistency and the robustness of the fluorescent reader within the duty cycle of the system power and the measurement system were analyzed with Six Sigma methods. Control charts, analysis of variance (ANOVAs), and variance components calculations were implemented to characterize the reader system. Through the process of this analysis, baseline characteristics were measured and documented providing valuable data for the improved instrument design.
The existing microfluidic chip is a prototype that works in combination with the reader based on fluorescent detection. Baseline studies were required to define any issues related to microfluidic autofluorescence. Multiple designs were tested to measure reduction in autofluorescence in the microfluidics. It was found that certain designs performed better than others. One approach for improvement in the microfluidic chip may be achieved by characterizing and source controlling materials, optimizing layers, mask apertures, and mask orientations to determine reliability in the measurable output through the fluorescent reader. Since the reader and the microfluidic are designed to work together, any future studies should explore testing where the two components are considered a coupled system.
Date Created
2021
Contributors
- Shabtai, Bat-El (Author)
- Blain Christen, Jennifer (Thesis advisor)
- Abbas, James (Thesis advisor)
- Maass, Eric (Committee member)
- Beeman, Scott (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
142 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.161952
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: M.S., Arizona State University, 2021
Field of study: Biomedical Engineering
System Created
- 2021-11-16 05:27:40
System Modified
- 2021-11-30 12:51:28
- 2 years 11 months ago
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