Evidence map›Paper›PMID 27101171›Full record

ReviewLab on a chip2016

The upcoming 3D-printing revolution in microfluidics.

Nirveek Bhattacharjee, Arturo Urrios, Shawn Kang, Albert Folch

Abstract readReview
In one paragraph

Review in Lab on a chip, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 386 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
386citing papers in PubMed, 1 pooled it
63.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

386 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,089 citations in OpenAlex.

  1. Pooled it
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  10. Exploiting Device Deformability for Fluid and Particle Manipulation.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
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326 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Nirveek BhattacharjeeDepartment of Bioengineering, University of Washington, Seattle, Washington, USA. afolch@uw.edu.
Arturo Urrios
Shawn Kang
Albert Folch
University of Washington · USSeattle University · US

Funding

Multiplexed Microfluidic Gradients for Axon GuidanceR01NS064387 · NINDS · UNIVERSITY OF WASHINGTON · PI FOLCH, ALBERT · 2011 to 2015
$1.6M
NINDS NIH HHS R01 NS064387
6 · The paper itself

Abstract

In the last two decades, the vast majority of microfluidic systems have been built in poly(dimethylsiloxane) (PDMS) by soft lithography, a technique based on PDMS micromolding. A long list of key PDMS properties have contributed to the success of soft lithography: PDMS is biocompatible, elastomeric, transparent, gas-permeable, water-impermeable, fairly inexpensive, copyright-free, and rapidly prototyped with high precision using simple procedures. However, the fabrication process typically involves substantial human labor, which tends to make PDMS devices difficult to disseminate outside of research labs, and the layered molding limits the 3D complexity of the devices that can be produced. 3D-printing has recently attracted attention as a way to fabricate microfluidic systems due to its automated, assembly-free 3D fabrication, rapidly decreasing costs, and fast-improving resolution and throughput. Resins with properties approaching those of PDMS are being developed. Here we review past and recent efforts in 3D-printing of microfluidic systems. We compare the salient features of PDMS molding with those of 3D-printing and we give an overview of the critical barriers that have prevented the adoption of 3D-printing by microfluidic developers, namely resolution, throughput, and resin biocompatibility. We also evaluate the various forces that are persuading researchers to abandon PDMS molding in favor of 3D-printing in growing numbers.

Indexed as

Printing, Three-DimensionalDimethylpolysiloxanesEquipment DesignLab-On-A-Chip DevicesMicrofluidicsbaysilonDimethylpolysiloxanes

Identifiers

PMID27101171
PMCPMC4862901
OpenAlexW2329719920

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.