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Title:Microfluidic diagnostics from continuous liquid interface production additive manufacturing
Author(s):Aydin, Mehmet Yalcin
Advisor(s):King, William P
Department / Program:Mechanical Sci & Engineering
Discipline:Mechanical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Additive manufacturing
Resin photo polymerization
Diagnostics
Pathogen detection
Microfluidics
Point of care
Lab on chip
Abstract:Biomedical diagnostics based on microfluidic devices have the potential to significantly benefit human health, however the manufacturing of microfluidic devices is a key limitation to their widespread adoption. Additive manufacturing (AM) is an attractive alternative to conventional approaches for microfluidic device manufacturing based on injection molding, however, there is a need for development of new manufacturing process capabilities and materials that are compatible for microfluidic diagnostics. In this thesis, we investigate process characteristics and capabilities of continuous liquid interface production (CLIP) based AM, focusing on aspects relevant for microfluidic device manufacturing, and validation of the materials as used in a applications of bacterial detection. We find that CLIP accurately produces microfluidic channels as small as 400 m, and that it is possible to routinely produce fluid channels as small as 100 m with high repeatability but with somewhat lower accuracy. Print orientation significantly affects the accuracy and repeatability of the process, and the best accuracy is achieved when the microchannels are parallel to the direction of motion of the build tray. We demonstrate manufacturing, assembly and packaging, and application of a microfluidic device made using CLIP for detection of E. coli bacteria using a process based on loop-mediated isothermal amplification at 65 °C. The methodology introduced in this this could be used to investigate and validate other AM process for microfluidic diagnostics, and the research highlights key issues and capabilities for CLIP and other resin-based AM processes.
Issue Date:2020-07-23
Type:Thesis
URI:http://hdl.handle.net/2142/108723
Rights Information:Copyright 2020 Mehmet Yalcin Aydin
Date Available in IDEALS:2020-10-07
Date Deposited:2020-08


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