Evidence map›Paper›PMID 27685457›Full record

ArticleJournal of visualized experiments : JoVE2016

Colorimetric Detection of Bacteria Using Litmus Test.

Kha Tram, Sepehr Manochehry, Qian Feng, Dingran Chang, Bruno J Salena, Yingfu Li

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 31% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. A Simple DNAzyme-Based Fluorescent Assay for Klebsiella pneumoniae.Chembiochem : a European journal of chemical biology · 2019
    Article
  3. Review
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 at 1 institution in 1 country.

Kha TramDepartment of Biochemistry and Biomedical Sciences, McMaster University.
Sepehr ManochehryDepartment of Biochemistry and Biomedical Sciences, McMaster University.
Qian FengDepartment of Chemistry and Chemical Biology, McMaster University.
Dingran ChangDepartment of Biochemistry and Biomedical Sciences, McMaster University.
Bruno J SalenaDepartment of Medicine, McMaster University.
Yingfu LiDepartment of Biochemistry and Biomedical Sciences, McMaster University; liying@mcmaster.ca.
McMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are increasing demands for simple but still effective methods that can be used to detect specific pathogens for point-of-care or field applications. Such methods need to be user-friendly and produce reliable results that can be easily interpreted by both specialists and non-professionals. The litmus test for pH is simple, quick, and effective as it reports the pH of a test sample via a simple color change. We have developed an approach to take advantage of the litmus test for bacterial detection. The method exploits a bacterium-specific RNA-cleaving DNAzyme to achieve two functions: recognizing a bacterium of interest and providing a mechanism to control the activity of urease. Through the use of magnetic beads immobilized with a DNAzyme-urease conjugate, the presence of bacteria in a test sample is relayed to the release of urease from beads to solution. The released urease is transferred to a test solution to hydrolyze urea into ammonia, resulting in an increase of pH that can be visualized using the classic litmus test.

Indexed as

AmmoniaBacteriaBacteriological TechniquesColorimetryDNA, CatalyticEnzymes, ImmobilizedHydrogen-Ion ConcentrationPoint-of-Care SystemsUreaseAmmoniaDNA, CatalyticEnzymes, ImmobilizedUrease

Identifiers

PMID27685457
PMCPMC5092029
OpenAlexW2518810946

What OpenQuestion holds

Textmetadata
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.