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Compatibility of Popular Three-Dimensional Printed Microfluidics Materials with In Vitro Enzymatic Reactions.

Wan-Zhen Sophie Lin1, William E Evenson2, W Kristian Vu Bostic3

  • 1Mork Family Department of Chemical Engineering and Materials Science, 925 Bloom Walk, HED 216, Los Angeles, California 90089, United States.

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|February 9, 2022
PubMed
Summary

3D printed microfluidics inhibit key enzymatic reactions like polymerase chain reaction (PCR) and in vitro transcription. Material surface properties and leachates contribute to this inhibition, impacting biochemical applications.

Keywords:
3D printing3D-printed microfluidicsPhotocurable resinsbiomicrofluidicsenzymatic reactionsmicrofluidics

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Area of Science:

  • Biochemistry
  • Microfluidics
  • Materials Science

Background:

  • 3D printed microfluidics offer advantages over traditional methods.
  • Their compatibility with in vitro biochemistry and molecular biology remains under-investigated.

Purpose of the Study:

  • To evaluate the compatibility of common enzymatic reactions within 3D-printed microfluidic devices.
  • To identify potential inhibitory factors in 3D-printed materials for biochemical assays.

Main Methods:

  • Testing polymerase chain reaction (PCR), T7 in vitro transcription, mammalian in vitro translation, and reverse transcription.
  • Assessing the impact of 3D-printed materials on these enzymatic reactions.
  • Investigating the role of bovine serum albumin (BSA) in mitigating inhibition.

Main Results:

  • All tested 3D-printed materials significantly inhibited at least one enzymatic reaction.
  • BSA partially mitigated some, but not all, inhibitory effects.
  • Inhibition was attributed to both material surface properties and soluble leachates.

Conclusions:

  • Common 3D-printed microfluidic materials are not inherently compatible with essential in vitro enzymatic reactions.
  • Further material development or surface modification is needed for reliable biochemical applications.
  • Understanding material-leachate interactions is crucial for optimizing 3D-printed microfluidics.