Evidence map›Paper›PMID 39796365›Full record

ArticleFoods (Basel, Switzerland)2024

Considerations for the Successful Detection and Quantification of Genetically Modified Events in Grain and Food Samples Using Multiplex Digital PCR.

Tigst Demeke

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Digital PCR for the Authentication of KAMUTFoods (Basel, Switzerland) · 2026
    Article
  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

1 author.

Tigst DemekeGrain Research Laboratory, Canadian Grain Commission, Winnipeg, MB R3P1N1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of genetically modified (GMO) events for canola, corn, and soybean is steadily increasing. Some countries, including those in the EU, have regulatory requirements for the approval and use of plant ingredients containing GMOs. Multiplex digital PCR (dPCR) has been used for the simultaneous detection and quantification of various GMO events. This review covers the various factors to consider for multiplex digital PCR detection and the quantification of GMO events. DNA quality, quantity, and the presence of inhibitors are important factors to consider. Some dPCR instruments allow the use of multiple fluorescent dyes, which facilitates the setup of multiplex dPCR assays. This review focuses on the optimization of multiplex dPCR and describes the multiplex dPCR assays that have been reported for GMO detection.

Indexed as

digital PCRGMO detectionmultiplex dPCRoptimization

Identifiers

PMID39796365
PMCPMC11719948

What Socratic 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 Socratic graph.