Evidence map›Paper›PMID 40571859›Full record

ReviewMikrochimica acta2025

Future perspectives of GMO detection in agriculture: strategies for electrochemical nucleic acid detection.

Ana Kuprešanin, Stefan Jarić, Zorica Novaković, Marko Radović, Marija Pavlović, Teodora Knežić, Ljiljana Šašić Zorić, Ljiljana Janjušević, Zoran Pavlović

Abstract readReview
In one paragraph

Review in Mikrochimica acta, 2025. 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. Review
  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

9 authors.

Ana KuprešaninBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, 21000, Novi Sad, Serbia.
Stefan JarićBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, 21000, Novi Sad, Serbia.
Zorica NovakovićBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, 21000, Novi Sad, Serbia.
Marko RadovićBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, 21000, Novi Sad, Serbia.
Marija PavlovićBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, 21000, Novi Sad, Serbia.
Teodora KnežićBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, 21000, Novi Sad, Serbia.
Ljiljana Šašić ZorićBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, 21000, Novi Sad, Serbia.
Ljiljana JanjuševićBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, 21000, Novi Sad, Serbia.
Zoran PavlovićBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Đinđića 1, 21000, Novi Sad, Serbia. zoran.pavlovic@biosense.rs.

Funding

Ministarstvo nauke, tehnološkog razvoja i inovacija, Republika Srbija 451-03-136/2025-03/200358Science Fund of the Republic of Serbia 6710
6 · The paper itself

Abstract

The uncontrolled distribution of genetically modified organisms (GMO)-based food and feed is an increasing global concern, primarily due to limited information about their potential harmful effects. The growing diversity and complexity of GMOs present significant challenges for their detection, traceability, and safety monitoring. Traditionally, GMOs are detected using molecular methods, among which PCR methods are the most explored and are considered the gold standard. However, isothermal nucleic acid amplification methods, though less explored, hold great potential, especially when integrated with biosensor platforms, enabling the development of highly efficient and versatile biosensing systems. This paper provides a comprehensive overview of the recent advances in biosensors utilizing methods of isothermal nucleic acid amplification, highlighting their current progress and future perspectives. We discuss molecular methods for GMO detection, focusing on reaction conditions, amplification efficiency, and compatibility with various detection modalities. Additionally, we investigate the integration of various nanomaterials into transducers, such as electrochemical platforms, together with the electrochemical techniques and detection mechanisms, aiming to outline their synergistic effects with molecular techniques to improve detection sensitivity and enable real-time monitoring. Furthermore, we discuss the applications of GMO biosensors across diverse fields, including food safety and environmental monitoring, while addressing existing challenges and potential strategies for improving the performance, robustness, and practicality of biosensing platforms. Overall, this review highlights the significant progress achieved in GMO biosensors and underscores their promising role in advancing diagnostic and monitoring capabilities.

Indexed as

Biosensing TechniquesElectrochemical TechniquesNucleic Acid Amplification TechniquesNucleic AcidsOrganisms, Genetically ModifiedPlants, Genetically ModifiedAgricultureNucleic AcidsElectrochemical biosensorsEnvironmental monitoringField-effect transistor biosensorsFood safetyGMONucleic acid amplificationPoint-of-needTransducers

Identifiers

PMID40571859
PMCPMC12202687

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.