Evidence map›Paper›PMID 29490458›Full record

ArticleACS sensors2018

Developing Microfluidic Sensing Devices Using 3D Printing.

James F Rusling

Abstract read
In one paragraph

Article in ACS sensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Review
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  10. CaCOPolymers · 2022
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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

1 author.

James F RuslingDepartment of Chemistry , University of Connecticut , Storrs , Connecticut 06269 , United States.ORCID 0000-0002-6117-3306

Funding

ELECTROCATALYTIC STUDIES OF TOXIC POLLUTANT ACTIVATIONR01ES003154 · NIEHS · UNIVERSITY OF CONNECTICUT STORRS · PI RUSLING, JAMES F. · 1985 to 2018
$6.1M
Protein Biomarker Arrays for Personalized Treatment of Prostate CancerR01EB016707 · NIBIB · UNIVERSITY OF CONNECTICUT STORRS · PI RUSLING, JAMES F. · 2014 to 2017
$1.4M
NIBIB NIH HHS R01 EB016707NIEHS NIH HHS R01 ES003154
6 · The paper itself

Abstract

This short perspective assesses the present landscape for desktop 3D printing to design and fabricate sensors, in particular, those associated with microfluidics and multiplexing. Lots of advanced devices have already been reported, and this article briefly surveys interesting achievements. Microfluidics can be designed and optimized faster and more easily on low cost desktop 3D printers that with competing methods. Rapid prototyping leads directly to a final (marketable) product fabricated on the same 3D printer. While resolution is not as good as lithographic approaches, very often channel and feature resolution on the order of 100 μm obtainable with SLA 3D printers is perfectly suitable for the desired sensing device. Two examples from our team's research are used to illustrate how using a 3D printer along with simple automation can reduce a complex microfluidic sensing procedure to a much simpler automated one. Future possibilities for sensor technology are discussed.

Indexed as

Printing, Three-DimensionalEquipment DesignMicrofluidic Analytical Techniques3D printingbiomarker proteinsDNAmicrofluidicssensors

Identifiers

PMID29490458
PMCPMC5967245

What OpenQuestion holds

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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.