Evidence map›Paper›PMID 36296137›Full record

ArticleMicromachines2022

Phase-Optimized Peristaltic Pumping by Integrated Microfluidic Logic.

Erik M Werner, Benjamin X Lam, Elliot E Hui

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Erik M WernerDepartment of Biomedical Engineering, University of California, Irvine, CA 92697, USA.ORCID 0000-0002-1609-406X
Benjamin X LamDepartment of Biomedical Engineering, University of California, Irvine, CA 92697, USA.
Elliot E HuiDepartment of Biomedical Engineering, University of California, Irvine, CA 92697, USA.ORCID 0000-0001-8286-9815

Funding

Rapid prototyping of microfluidic logic with high resolution 3D printingR01GM134418 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI HUI, ELLIOT E · 2019 to 2022
$1.3M
Genentech Research collaboration agreement CLL-012313National Science Foundation IIP-1362165NIGMS NIH HHS R01 GM134418NIH HHS R01GM134418Society for Laboratory Automation SLAS-204393
6 · The paper itself

Abstract

Microfluidic droplet generation typically entails an initial stabilization period on the order of minutes, exhibiting higher variation in droplet volume until the system reaches monodisperse production. The material lost during this period can be problematic when preparing droplets from limited samples such as patient biopsies. Active droplet generation strategies such as antiphase peristaltic pumping effectively reduce stabilization time but have required off-chip control hardware that reduces system accessibility. We present a fully integrated device that employs on-chip pneumatic logic to control phase-optimized peristaltic pumping. Droplet generation stabilizes in about a second, with only one or two non-uniform droplets produced initially.

Indexed as

dropletsmicrofluidicsmicropumppneumatic logicpoint-of-care

Identifiers

PMID36296137
PMCPMC9610095

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.