Literature DB >> 35569850

Applied tutorial for the design and fabrication of biomicrofluidic devices by resin 3D printing.

Hannah B Musgrove1, Megan A Catterton1, Rebecca R Pompano2.   

Abstract

Resin 3D printing, especially digital light processing (DLP) printing, is a promising rapid fabrication method for bio-microfluidic applications such as clinical tests, lab-on-a-chip devices, and sensor integrated devices. The benefits of 3D printing lead many to believe this fabrication method will accelerate the use of microfluidics, but there are a number of potential obstacles to overcome for bioanalytical labs to fully utilize this technology. For commercially available printing materials, this includes challenges in producing prints with the print resolution and mechanical stability required for a particular design, along with cytotoxic components within many photopolymerizing resins and low optical compatibility for imaging experiments. Potential solutions to these problems are scattered throughout the literature and rarely available in head-to-head comparisons. Therefore, we present here a concise guide to the principles of resin 3D printing most relevant for fabrication of bioanalytical microfluidic devices. Intended to quickly orient labs that are new to 3D printing, the tutorial includes the results of selected systematic tests to inform resin selection, strategies for design optimization, and improvement of biocompatibility of resin 3D printed bio-microfluidic devices.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cell culture; Digital light processing; Microfluidic fabrication; Photopolymerizable resins; SLA; Stereolithography

Mesh:

Year:  2022        PMID: 35569850      PMCID: PMC9454328          DOI: 10.1016/j.aca.2022.339842

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.911


  39 in total

Review 1.  3D printed microfluidic devices: enablers and barriers.

Authors:  Sidra Waheed; Joan M Cabot; Niall P Macdonald; Trevor Lewis; Rosanne M Guijt; Brett Paull; Michael C Breadmore
Journal:  Lab Chip       Date:  2016-05-24       Impact factor: 6.799

2.  Rapid prototyping using 3D printing in bioanalytical research.

Authors:  Chengsen Zhang; Brandon J Bills; Nicholas E Manicke
Journal:  Bioanalysis       Date:  2017-01-10       Impact factor: 2.681

3.  Feasibility and Biocompatibility of 3D-Printed Photopolymerized and Laser Sintered Polymers for Neuronal, Myogenic, and Hepatic Cell Types.

Authors:  Rowan P Rimington; Andrew J Capel; Darren J Player; Richard J Bibb; Steven D R Christie; Mark P Lewis
Journal:  Macromol Biosci       Date:  2018-06-13       Impact factor: 4.979

4.  Variable cytocompatibility of six cell lines with photoinitiators used for polymerizing hydrogels and cell encapsulation.

Authors:  Christopher G Williams; Athar N Malik; Tae Kyun Kim; Paul N Manson; Jennifer H Elisseeff
Journal:  Biomaterials       Date:  2005-04       Impact factor: 12.479

5.  Neutrophil survival on biomaterials is determined by surface topography.

Authors:  Susan Chang; Yale Popowich; Ralph S Greco; Beatrice Haimovich
Journal:  J Vasc Surg       Date:  2003-05       Impact factor: 4.268

6.  Sealing 3D-printed parts to poly(dimethylsiloxane) for simple fabrication of Microfluidic devices.

Authors:  Cody S Carrell; Cynthia P McCord; Rachel M Wydallis; Charles S Henry
Journal:  Anal Chim Acta       Date:  2020-05-10       Impact factor: 6.558

7.  3D-printing of transparent bio-microfluidic devices in PEG-DA.

Authors:  Arturo Urrios; Cesar Parra-Cabrera; Nirveek Bhattacharjee; Alan M Gonzalez-Suarez; Luis G Rigat-Brugarolas; Umashree Nallapatti; Josep Samitier; Cole A DeForest; Francesc Posas; José L Garcia-Cordero; Albert Folch
Journal:  Lab Chip       Date:  2016-05-24       Impact factor: 6.799

8.  Printability of External and Internal Structures Based on Digital Light Processing 3D Printing Technique.

Authors:  Yan Yang; Yanjun Zhou; Xiao Lin; Qingliang Yang; Gengshen Yang
Journal:  Pharmaceutics       Date:  2020-02-28       Impact factor: 6.321

9.  A dog oviduct-on-a-chip model of serous tubal intraepithelial carcinoma.

Authors:  Marcia de Almeida Monteiro Melo Ferraz; Jennifer Beth Nagashima; Bastien Venzac; Séverine Le Gac; Nucharin Songsasen
Journal:  Sci Rep       Date:  2020-01-31       Impact factor: 4.379

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