ArticleFrontiers in plant science2026
A standard-curve-free ΔΔCt method for rapid GMO compliance screening relative to labeling thresholds.
Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regulatory thresholds for genetically modified organism (GMO) content are widely adopted worldwide for labeling purposes. Routine inspection primarily requires determining whether GMO levels exceed, fall below, or approach the threshold, rather than requiring precise quantification. Derived from the comparative Ct method, the ΔΔCt method enables rapid GMO screening using threshold-matched quality control (QC) samples. In this study, we established a universal ΔΔCt cutoff of ±0.4 as a decision criterion for categorizing samples into three groups relative to the labeling limit. The robustness of this criterion was validated through an inter-laboratory collaborative study involving eight testing laboratories, two GM crop matrices (soybean and maize), and a broad range of GMO concentrations. This method eliminates standard curve preparation while supporting both rapid threshold-based screening and semi-quantitative estimation of GMO content. This dual functionality makes it particularly suitable for high-throughput regulatory testing. Overall, this cost-effective and technically robust workflow provides a practical tool to facilitate the implementation of GMO labeling regulations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.