Evidence map›Paper›PMID 32899815›Full record

ArticleMicroorganisms2020

Multiplex Detection of

Sarah Azinheiro, Joana Carvalho, Marta Prado, Alejandro Garrido-Maestu

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. High-throughput multiplex qPCR for distinguishing Salmonella serovars Heidelberg, Enteritidis, Typhimurium, Gallinarum, and Pullorum.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  3. Recent Developments onFoods (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Evaluation of Simultaneous Growth ofFoods (Basel, Switzerland) · 2024
    Article
  6. Redefining piscine lactococcosis.Applied and environmental microbiology · 2024
    Article
  7. Article
  8. A quantitative prevalence ofFood science & nutrition · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Advancement inBiosensors · 2021
    Review
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Sarah AzinheiroFood Quality and Safety Research Group, International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga s/n, 4715-330 Braga, Portugal.
Joana CarvalhoFood Quality and Safety Research Group, International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga s/n, 4715-330 Braga, Portugal.
Marta PradoFood Quality and Safety Research Group, International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga s/n, 4715-330 Braga, Portugal.ORCID 0000-0002-0529-5771
Alejandro Garrido-MaestuFood Quality and Safety Research Group, International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga s/n, 4715-330 Braga, Portugal.ORCID 0000-0003-4587-8418
International Iberian Nanotechnology Laboratory · PTUniversidade de Santiago de Compostela · ES

Funding

Interreg EAPA_758/2018
6 · The paper itself

Abstract

Food poisoning continue to be a threat in the food industry showing a need to improve the detection of the pathogen responsible for the hospitalization cases and death. DNA-based techniques represent a real advantage and allow the detection of several targets at the same time, reducing cost and time of analysis. The development of new methodology using SYBR Green qPCR for the detection of

Indexed as

E coli O157food analysisListeria monocytogenesmelting analysismultiplex qPCRnon-competitive internal amplification control (NC-IAC)Salmonella spp.

Identifiers

PMID32899815
PMCPMC7564587
OpenAlexW3083630386

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.