Evidence map›Paper›PMID 39649444›Full record

ArticleEngineering research express2023

Open-source pneumatic pressure pump for drop-based microfluidic flow controls.

Humberto S Sanchez, Connie B Chang

Abstract read
In one paragraph

Article in Engineering research express, 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

2 authors.

Humberto S SanchezCenter for Biofilm Engineering, Montana State University, Bozeman, MT 59717, United States of America.ORCID 0000-0003-3298-6348
Connie B ChangCenter for Biofilm Engineering, Montana State University, Bozeman, MT 59717, United States of America.ORCID 0000-0001-9555-8223

Funding

Using the GoFlowChip to understand SARS-CoV-2 infection of the gastrointestinal mucosa of humans and batsU01EB029242 · NIBIB · MONTANA STATE UNIVERSITY - BOZEMAN · PI BIMCZOK, DIANE, WALK, SETH T · 2019 to 2023
$4.0M
High-Throughput, Massively Parallel Antimicrobial Resistance Surveillance Using Drop-Based MicrofluidicsR21AI151923 · NIAID · MONTANA STATE UNIVERSITY - BOZEMAN · PI CHANG, CONNIE B · 2021 to 2022
$405k
NIAID NIH HHS R21 AI151923NIBIB NIH HHS U01 EB029242
6 · The paper itself

Abstract

An open-source pneumatic pressure pump is engineered for driving fluid flow in a microfluidic device. It is designed to be a cost-effective and customizable alternative to commercial systems. The pneumatic pressure pump utilizes a single open-source microcontroller to control four dual-valve pressure regulators. The control scheme is written in the Arduino development environment and the user interface is written in Python. The pump was used to pressurize water and a fluorinated oil that have similar viscosities. The pump can accurately control pressures to a resolution of less than 0.02 psig with rapid response times of less than one second, overshoot of desired pressures by less than 30%, and setting response times of less than two seconds. The pump was also validated in its ability to produce water-in-oil drops using a drop-making microfluidic device. The resultant drop size scaled as expected with the pressures applied to the emulsion phases. The pump is the first custom-made dual-valve regulator that is used to precisely control fluid flow in a microfluidic device. The presented design is an advancement towards making more fully open-source pneumatic pressure pumps for controlling flow in microfluidic devices.

Indexed as

drop-based microfluidicsmicrofluidicsopen-sourcepressure-driven flow

Identifiers

PMID39649444
PMCPMC11623209

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.