Literature DB >> 32363857

3D-Printed Microfluidic Devices for Enhanced Online Sampling and Direct Optical Measurements.

Giraso Keza Monia Kabandana1, Curtis G Jones1, Sahra Khan Sharifi1, Chengpeng Chen1.   

Abstract

3D printing has emerged as a robust technique to fabricate reliable and reproducible microfluidic devices. However, a limitation of 3D-printed devices has been the low transparency even when printed in a "clear" material. There are currently no reports regarding direct optical measurements through a 3D-printed device. Here, we present for the first time that the printing orientation can affect the transparency of a 3D-printed object. With the optimal orientation, we printed a microfluidic detector that was sufficiently transparent (transmittance ≈ 80%) for optical quantitation. This finding is significant because it shows the feasibility to directly 3D-print optical components for analytical applications. In addition, we created a novel microfluidic dialysis device via 3D printing, which enabled higher flow rates (for sampling with high temporal resolution) and increased extraction efficiency than commercially available ones. By coupling the microfluidic detector and dialysis probe, we successfully measured the release kinetics of indole from biofilms in a continuous, automated, and near real-time fashion. Indole is an intercellular signaling molecule in biofilms, which may regulate antibiotic resistance. The release kinetics of this molecule had not been quantitated likely because of the lack of a suitable analytical tool. Our results fill this knowledge gap.

Keywords:  3D-printing; biofilms; indole; microdialysis; microfluidics; optical measurements; real-time quantitation

Mesh:

Year:  2020        PMID: 32363857     DOI: 10.1021/acssensors.0c00507

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  1 in total

1.  Study on the development and integration of 3D-printed optics in small-scale productions of single-use cultivation vessels.

Authors:  Louis Maximilian Kuhnke; Johanna Sophie Rehfeld; Christian Ude; Sascha Beutel
Journal:  Eng Life Sci       Date:  2022-03-18       Impact factor: 3.405

  1 in total

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