Evidence map›Paper›PMID 34421846›Full record

ArticleFrontiers in microbiology2021

Application of Engineered Bacteriophage T7 in the Detection of Bacteria in Food Matrices.

Nicharee Wisuthiphaet, Xu Yang, Glenn M Young, Nitin Nitin

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Nicharee WisuthiphaetDepartment of Food Science and Technology, University of California, Davis, Davis, CA, United States.
Xu YangDepartment of Nutrition and Food Science, California State Polytechnic University Pomona, Pomona, CA, United States.
Glenn M YoungDepartment of Food Science and Technology, University of California, Davis, Davis, CA, United States.
Nitin NitinDepartment of Food Science and Technology, University of California, Davis, Davis, CA, United States.
University of California, Davis · USCalifornia State Polytechnic University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of pathogens in a food matrix is challenging due to various constraints including complexity and the cost of sample preparation for microbial analysis from food samples, time period for the detection of pathogens, and high cost and specialized resources required for advanced molecular assays. To address some of these key challenges, this study illustrates a simple and rapid colorimetric detection of target bacteria in distinct food matrices, including fresh produce, without prior isolation of bacteria from a food matrix. This approach combines bacteriophage-induced expression of an exogenous enzyme, alkaline phosphatase, the specific colorimetric substrate that generates insoluble color products, and a simple filtration method to localize the generation of colored signal. Using this approach, this study demonstrates the specific detection of inoculated

Indexed as

5-bromo-4-chloro-3-indolyl phosphatealkaline phosphatasecolorimetric detectionengineered bacteriophageEscherichia coli

Identifiers

PMID34421846
PMCPMC8377434
OpenAlexW3190302963

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.