Evidence map›Paper›PMID 42724169›Full record

ArticleFrontiers in plant science2026

A standard-curve-free ΔΔCt method for rapid GMO compliance screening relative to labeling thresholds.

Mei Dong, Tingting Wen, Lixia Meng, Chaohua Miao, Weixiao Liu, Jihong Zhang, Yusong Wan, Wujun Jin

Abstract read
In one paragraph

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.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Mei DongInspection and Testing Center for Ecological and Environmental Risk Assessment of Plant and Plant-Related Microorganisms of the Ministry of Agriculture and Rural Affairs, Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Tingting WenInspection and Testing Center for Ecological and Environmental Risk Assessment of Plant and Plant-Related Microorganisms of the Ministry of Agriculture and Rural Affairs, Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Lixia MengInspection and Testing Center for Ecological and Environmental Risk Assessment of Plant and Plant-Related Microorganisms of the Ministry of Agriculture and Rural Affairs, Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Chaohua MiaoInspection and Testing Center for Ecological and Environmental Risk Assessment of Plant and Plant-Related Microorganisms of the Ministry of Agriculture and Rural Affairs, Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Weixiao LiuInspection and Testing Center for Ecological and Environmental Risk Assessment of Plant and Plant-Related Microorganisms of the Ministry of Agriculture and Rural Affairs, Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Jihong ZhangInspection and Testing Center for Ecological and Environmental Risk Assessment of Plant and Plant-Related Microorganisms of the Ministry of Agriculture and Rural Affairs, Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Yusong WanInspection and Testing Center for Ecological and Environmental Risk Assessment of Plant and Plant-Related Microorganisms of the Ministry of Agriculture and Rural Affairs, Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Wujun JinInspection and Testing Center for Ecological and Environmental Risk Assessment of Plant and Plant-Related Microorganisms of the Ministry of Agriculture and Rural Affairs, Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

GMO labeling thresholdsGMO quantificationinter-laboratory collaborative verificationquality control samplesΔΔCt method

Identifiers

PMID42724169
PMCPMC13558396

What OpenQuestion holds

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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.