Evidence map›Paper›PMID 35888910›Full record

ArticleMicromachines2022

A Continuous Microfluidic Concentrator for High-Sensitivity Detection of Bacteria in Water Sources.

Seunghee Choo, Hyunjung Lim, Tae Eun Kim, Jion Park, Kyu Been Park, Chaewon Park, Chae Seung Lim, Jeonghun Nam

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 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

8 authors.

Seunghee ChooCollege of Life Sciences and Bio Engineering, Incheon National University, Incheon 22012, Korea.
Hyunjung LimArtificial Intelligence (AI)-Bio Research Center, Incheon Jaeneung University, Incheon 21987, Korea.
Tae Eun KimArtificial Intelligence (AI)-Bio Research Center, Incheon Jaeneung University, Incheon 21987, Korea.
Jion ParkDepartment of Song-do Bio Engineering, Incheon Jaeneung University, Incheon 21987, Korea.
Kyu Been ParkDepartment of Song-do Bio Life Engineering, Incheon Jaeneung University, Incheon 21987, Korea.
Chaewon ParkDepartment of Song-do Bio Life Engineering, Incheon Jaeneung University, Incheon 21987, Korea.
Chae Seung LimDepartment of Laboratory Medicine, College of Medicine, Korea University, Seoul 08307, Korea.ORCID 0000-0002-7765-0840
Jeonghun NamArtificial Intelligence (AI)-Bio Research Center, Incheon Jaeneung University, Incheon 21987, Korea.ORCID 0000-0002-0591-7745

Funding

Korea Health Industry Development Institute HR20C0021National Research Foundation of Korea 2020R1A2C1014460
6 · The paper itself

Abstract

Water contamination is a critical issue that threatens global public health. To enable the rapid and precise monitoring of pathogen contamination in drinking water, a concentration technique for bacterial cells is required to address the limitations of current detection methods, including the culture method and polymerase chain reaction. Here we present a viscoelastic microfluidic device for the continuous concentration of bacterial cells. To validate the device performance for cell concentration, the flow characteristics of 2-μm particles were estimated in viscoelastic fluids at different concentrations and flow rates. Based on the particle flow distributions, the flow rate factor, which is defined as the ratio of the inlet flow rate to the outlet flow rate at the center outlet, was optimized to achieve highly concentrated bacterial cells by removal of the additional suspending medium. The flow characteristics of 0.5-, 0.7-, and 1.0-μm-diameter particles were evaluated to consider the effect of a wide spectrum of bacterial size distribution. Finally, the concentration factor of bacterial cells, Staphylococcus aureus, suspended in a 2000-ppm polyethylene oxide solution was found to be 20.6-fold at a flow rate of 20 μL/min and a flow rate factor of 40.

Indexed as

bacteriaconcentrationviscoelastic fluidwater contamination

Identifiers

PMID35888910
PMCPMC9324615

What OpenQuestion holds

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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.