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A microfluidic-enabled combinatorial formulation and integrated inkjet printing platform for evaluating functionally

Anindya Lal Roy1, Hsi Nien Chiu1, Konrad Walus1

  • 1Department of Electrical and Computer Engineering, University of British Columbia (Vancouver campus), Canada. konradw@ece.ubc.ca.

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|October 4, 2021
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Summary
This summary is machine-generated.

This study introduces a microfluidic platform for efficient thin film sample library preparation using inkjet printing, reducing material waste. The system successfully identified optimal conductivity in polymer blends, validating its formulation capabilities.

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Area of Science:

  • Materials Science
  • Chemical Engineering
  • Nanotechnology

Background:

  • Efficient sample library preparation is crucial for materials evaluation, aiming to minimize resource consumption.
  • Traditional methods can be resource-intensive and lack precision in formulation.
  • Developing advanced platforms for controlled material deposition is essential for streamlined research.

Purpose of the Study:

  • To demonstrate the first microfluidic-enabled thin film sample library formulation platform with integrated inkjet printing.
  • To reduce material wastage during library preparation and patterning.
  • To investigate the combinatorial formulation capabilities for probing material properties like electrical conductivity.

Main Methods:

  • Development and performance screening of a microfluidic platform with inkjet printing for thin film libraries.
  • Combinatorial formulation of polymer/additive blends (PEDOT:PSS/DMSO and PEDOT:PSS/EG).
  • Preparation of functionally-graded thin film libraries via programmed dispensing and characterization (electrical and morphological).

Main Results:

  • Successful development and validation of a microfluidic inkjet printing platform for thin film library formulation.
  • Demonstrated reduction in material wastage compared to conventional methods.
  • Identified conductivity maxima in PEDOT:PSS blends and correlated findings with morphological analysis.

Conclusions:

  • The microfluidic platform offers an efficient and precise method for preparing patterned thin film sample libraries.
  • The system enables rapid screening and optimization of material formulations, such as conductive polymer blends.
  • This technology facilitates the iterative identification of optimal material compositions and understanding of structure-property relationships.