Evidence map›Paper›PMID 39470896›Full record

ArticleJournal of fluorescence2025

A Novel Approach for Colorimetric Detection of Glyphosate in Food Based on a Split Aptamer Nanostructure and DNAzyme Activity.

Zahra Mohammadi, Mahdi Rahaie, Fatemeh Moradifar

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Article in Journal of fluorescence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

3 authors.

Zahra MohammadiDepartment of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, 14399-57131, Iran.
Mahdi RahaieDepartment of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, 14399-57131, Iran. mrahaie@ut.ac.ir.
Fatemeh MoradifarDepartment of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, 14399-57131, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glyphosate has become the most widely used herbicide worldwide in recent years. There are many concerns about toxicity and mutagenicity from long-term use of glyphosate in humans and animals. Therefore, the methods that can help in easy and quick detection of this chemical compound in food and water are critical. In this work, a biosensor was fabricated by combining the enzymatic properties of a specific DNA G-quadruplex and selectivity of a split aptamer to detect glyphosate in foods and water in a quick and simple colorimetric manner. The color change in this method is based on the oxidation of TMB by the G-quadruplex enzyme and the function of aptamer to trap glyphosate, which is visible to the naked eye in the presence and absence of the herbicide. The biosensor showed its high performance in various real samples of water and foods and provided a detection limit of 1.37 nM (R² = 0.9899) with a linear response range of 100 to 400 nM of glyphosate. This biosensor can provide an innovative, cheap and fast approach for the detection and monitoring of glyphosate in various foods and water.

Indexed as

Aptamers, NucleotideBiosensing TechniquesColorimetryDNA, CatalyticFood AnalysisFood ContaminationGlycineHerbicidesNanostructuresGlyphosateG-QuadruplexesLimit of DetectionAptamers, NucleotideDNA, CatalyticGlycineGlyphosateHerbicidesBiosensorColorimetricDNA G-quadruplexGlyphosateSplit Aptamer

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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.