Evidence map›Paper›PMID 32959038›Full record

ArticleLab on a chip2020

Lysis and direct detection of coliforms on printed paper-based microfluidic devices.

Sarah A Snyder, Mathew Boban, Chao Li, J Scott VanEpps, Geeta Mehta, Anish Tuteja

Abstract read
In one paragraph

Article in Lab on a chip, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Paper-based sensors for bacteria detection.Nature reviews bioengineering · 2023
    Review
  6. Article
  7. 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

6 authors.

Sarah A SnyderDepartment of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA. mehtagee@umich.edu atuteja@umich.edu.
Mathew Boban
Chao Li
J Scott VanEpps
Geeta Mehta
Anish Tuteja

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
Antimicrobial mechanisms of action zinc oxide nanoparticlesK08AI128006 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VANEPPS, J SCOTT · 2017 to 2020
$778k
NCI NIH HHS P30 CA046592NIAID NIH HHS K08 AI128006
6 · The paper itself

Abstract

Coliforms are one of the most common families of bacteria responsible for water contamination. Certain coliform strains can be extremely toxic, and even fatal if consumed. Current technologies for coliform detection are expensive, require multiple complicated steps, and can take up to 24 hours to produce accurate results. Recently, open-channel, paper-based microfluidic devices have become popular for rapid, inexpensive, and accurate bioassays. In this work, we have created an integrated microfluidic coliform lysis and detection device by fabricating customizable omniphilic regions via direct printing of omniphilic channels on an omniphobic, fluorinated paper. This paper-based device is the first of its kind to demonstrate successful cell lysing on-chip, as it can allow for the flow and control of both high and low surface tension liquids, including different cell lysing agents. The fabricated microfluidic device was able to successfully detect E. coli, via the presence of the coliform-specific enzyme, β-galactosidase, at a concentration as low as ∼104 CFU mL-1. Further, E. coli at an initial concentration of 1 CFU mL-1 could be detected after only 6 hours of incubation. We believe that these devices can be readily utilized for real world E. coli contamination detection in multiple applications, including food and water safety.

Indexed as

Escherichia coliLab-On-A-Chip DevicesMicrofluidics

Identifiers

PMID32959038
PMCPMC8496987

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.