Evidence map›Paper›PMID 29574561›Full record

ReviewAnalytical and bioanalytical chemistry2018

Critical assessment of digital PCR for the detection and quantification of genetically modified organisms.

Tigst Demeke, David Dobnik

Open access · hybridAbstract readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

61 citing papers in PubMed, 135 citations in OpenAlex.

  1. Article
  2. Review
  3. Digital PCR for the Authentication of KAMUTFoods (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Multiplex Quantification of 19 GM Soybean Lines Using Digital PCR.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Harmonization trial onThe journal of liquid biopsy · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Tigst DemekeCanadian Grain Commission, Grain Research Laboratory, 1404-303 Main Street, Winnipeg, MB, R3C3G8, Canada.
David DobnikDepartment of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000, Ljubljana, Slovenia. david.dobnik@nib.si.ORCID http://orcid.org/0000-0002-4698-6931
Canada Grain CommissionNational Institute of Biology · SI

Funding

FP7 Food, Agriculture and Fisheries, Biotechnology 613908Javna Agencija za Raziskovalno Dejavnost RS P4-0165
6 · The paper itself

Abstract

The number of genetically modified organisms (GMOs) on the market is steadily increasing. Because of regulation of cultivation and trade of GMOs in several countries, there is pressure for their accurate detection and quantification. Today, DNA-based approaches are more popular for this purpose than protein-based methods, and real-time quantitative PCR (qPCR) is still the gold standard in GMO analytics. However, digital PCR (dPCR) offers several advantages over qPCR, making this new technique appealing also for GMO analysis. This critical review focuses on the use of dPCR for the purpose of GMO quantification and addresses parameters which are important for achieving accurate and reliable results, such as the quality and purity of DNA and reaction optimization. Three critical factors are explored and discussed in more depth: correct classification of partitions as positive, correctly determined partition volume, and dilution factor. This review could serve as a guide for all laboratories implementing dPCR. Most of the parameters discussed are applicable to fields other than purely GMO testing. Graphical abstract There are generally three different options for absolute quantification of genetically modified organisms (GMOs) using digital PCR: droplet- or chamber-based and droplets in chambers. All have in common the distribution of reaction mixture into several partitions, which are all subjected to PCR and scored at the end-point as positive or negative. Based on these results GMO content can be calculated.

Indexed as

Organisms, Genetically ModifiedComputersDNADNA Copy Number VariationsReal-Time Polymerase Chain ReactionDNAChip-based digital PCRDigital PCRDroplet digital PCRGenetically modified organismsQuantification

Identifiers

PMID29574561
PMCPMC6010488
OpenAlexW2790354793

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.