Evidence map›Paper›PMID 39766954›Full record

ArticleFoods (Basel, Switzerland)2024

In-House Validation of Four Duplex Droplet Digital PCR Assays to Quantify GM Soybean Events.

Daniela Verginelli, Sara Ciuffa, Katia Spinella, Davide La Rocca, Marisa Misto, Cinzia Quarchioni, Pamela Bonini, Cristiana Fusco, Lorella Peroni, Stefania Peddis and 1 more

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 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. Article
  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

11 authors.

Daniela VerginelliNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.ORCID 0000-0001-9247-7073
Sara CiuffaNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.ORCID 0000-0003-1739-3595
Katia SpinellaNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.ORCID 0000-0003-3839-7974
Davide La RoccaNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.ORCID 0000-0001-9456-359X
Marisa MistoNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.
Cinzia QuarchioniNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.
Pamela BoniniNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.
Cristiana FuscoNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.
Lorella PeroniNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.
Stefania PeddisNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.
Ugo MarchesiNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", 00178 Rome, Italy.ORCID 0000-0002-7789-241X

Funding

Italian Ministry of Health IZSLT11/23
6 · The paper itself

Abstract

Due to the increasing number of authorized events in the European Union, it is crucial for the official laboratories to enforce market control to detect and quantify genetically modified organisms. In this study, an in-house validation of quantitative duplex ddPCR methods was performed involving MON87701, MON87769, MON89788 and CV-127-9 assays with respect to the lectin reference gene. Since the ddPCR methods provide accurate quantification, show less sensitivity to PCR inhibitors and are more suitable for multiplexing compared to the real-time PCR, the optimization of the existing assays was performed with the exception of MON87701, according to the JRC Guidance documents and technical reports. However, some concerns related to practical settings for the quantitative multiplex of ddPCR methods and their validation were encountered; therefore, a general workflow to develop and validate a ddPCR-based method is shown. The obtained data and the validation performance parameters such as specificity, cross-talk, robustness, dynamic range, linearity, the limit of quantification, trueness and precision comply with international recommendations for GMO quantification methods. The duplex ddPCR methods here investigated are equivalent in terms of performance compared to the singleplex real-time PCR methods, showing higher flexibility and cost effectiveness.

Indexed as

ddPCRGMOmeasurement uncertaintysoybeanvalidation

Identifiers

PMID39766954
PMCPMC11727554

What OpenQuestion holds

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Registered trials

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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.