Evidence map›Paper›PMID 37763822›Full record

ArticleMicromachines2023

Optimization of Oligomer Stamping Technique for Normally Closed Elastomeric Valves on Glass Substrate.

Joel Dungan, Juanita Mathews, Michael Levin, Valencia Koomson

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Joel DunganElectrical Engineering Department, Tufts University, Medford, MA 02155, USA.ORCID 0009-0002-4053-2071
Juanita MathewsBiology Department, Tufts University, Medford, MA 02155, USA.ORCID 0000-0003-1200-4810
Michael LevinBiology Department, Tufts University, Medford, MA 02155, USA.ORCID 0000-0001-7292-8084
Valencia KoomsonElectrical Engineering Department, Tufts University, Medford, MA 02155, USA.

Funding

AHOMKA: A Culturally-adapted mHealth Platform for Management of Hypertension in an Urban and Rural Region of GhanaR21EB033166 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KOOMSON, VALENCIA JOYNER, KPODONU, JACQUES · 2021 to 2022
$386k
NIBIB NIH HHS R21 EB033166NIH HHS 1R21EB033166
6 · The paper itself

Abstract

Microscale elastomeric valves are an integral part of many lab-on-chip applications. Normally closed valves require lower actuation pressures to form tight seals, making them ideal for portable devices. However, fabrication of normally closed valves is typically more difficult because the valve structure must be selectively bonded to its substrate. In this work, an oligomer stamping technique for selective bonding of normally closed valves is optimized for bonding of PDMS devices on glass substrates. Contact angle and blister bursting testing measurements are used to quantitatively characterize the oligomer stamping process for the first time, and recommendations are made for plasma treatment conditions, microstamping technique, and valve construction. Glass-PDMS devices are ideal for lab-on-chip systems that integrate electrodes on the rigid glass substrate. Here, integrated electrodes are used to assess valve performance, demonstrating electrical isolation in excess of 8 MΩ over the biologically relevant frequency range in the closed state. Further, electrical measurement is used to demonstrate that the valve design can operate under a pulsed actuation scheme, sealing to withstand fluid pressures in excess of 200 mbar.

Indexed as

electrical impedancemicrofluidicsPDMSplasma bondingpneumatic valve

Identifiers

PMID37763822
PMCPMC10534499

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.