Evidence map›Paper›PMID 28420193›Full record

ArticleSensors (Basel, Switzerland)2017

A Quantitative PCR-Electrochemical Genosensor Test for the Screening of Biotech Crops.

Suely Moura-Melo, Rebeca Miranda-Castro, Noemí de-Los-Santos-Álvarez, Arturo J Miranda-Ordieres, José Ribeiro Dos Santos Junior, Rosana A da Silva Fonseca, María Jesús Lobo-Castañón

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Suely Moura-MeloDepartamento de Química Física y Analítica, Universidad de Oviedo, 33006 Oviedo, Spain. suelymouramelo@yahoo.com.br.
Rebeca Miranda-CastroDepartamento de Química Física y Analítica, Universidad de Oviedo, 33006 Oviedo, Spain. mirandarebeca@uniovi.es.
Noemí de-Los-Santos-ÁlvarezDepartamento de Química Física y Analítica, Universidad de Oviedo, 33006 Oviedo, Spain. santosnoemi@uniovi.es.
Arturo J Miranda-OrdieresDepartamento de Química Física y Analítica, Universidad de Oviedo, 33006 Oviedo, Spain. amir@uniovi.es.
José Ribeiro Dos Santos JuniorDepartamento de Química, Centro de Ciências da Natureza, Universidade Federal do Piauí, Teresina 64049-550PI, Brazil. jribeiro@ufpi.edu.br.
Rosana A da Silva FonsecaInstituto de Ciencias Biológicas, Universidade de Pernambuco, Recife 50670-901PE, Brazil. rosanafonsecabr@gmail.com.
María Jesús Lobo-CastañónDepartamento de Química Física y Analítica, Universidad de Oviedo, 33006 Oviedo, Spain. mjlc@uniovi.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The design of screening methods for the detection of genetically modified organisms (GMOs) in food would improve the efficiency in their control. We report here a PCR amplification method combined with a sequence-specific electrochemical genosensor for the quantification of a DNA sequence characteristic of the 35S promoter derived from the cauliflower mosaic virus (CaMV). Specifically, we employ a genosensor constructed by chemisorption of a thiolated capture probe and

Indexed as

Real-Time Polymerase Chain ReactionBiotechnologyCaulimovirusCrops, AgriculturalDNA, PlantElectrochemical TechniquesPlants, Genetically ModifiedZea maysDNA, Plantelectrochemical genosensorgenetically modified cropsPCRscreening GMOs

Identifiers

PMID28420193
PMCPMC5424758

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.