Microfluidic diagnostics from continuous liquid interface production additive manufacturing

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Mechanical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2020

Author dc:creator

• Aydin, Mehmet Yalcin

Contributors dc:contributor

• King, William P

• Additive manufacturing
• Resin photo polymerization
• Diagnostics
• Pathogen detection
• Microfluidics
• Point of care
• Lab on chip

Statement dc:rights

• Copyright 2020 Mehmet Yalcin Aydin

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/108723

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/108723