Evidence map›Paper›PMID 41772577›Full record

ArticleJournal of nanobiotechnology2026

Self-assembled fluorescent nanosensor for ultrafast and field-deployable monitoring of herbicide fomesafen in multiple matrices.

Mei-Hong Ge, Shuai Tan, Wei Niu, Feng Gao, Shi-Tao Liu, Lin-Lin Yang, Li-Wei Liu, A-Ling Tang, Xiang Zhou, Song Yang

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. An ESIPT-AIE nanosensor for ONOOJournal of nanobiotechnology · 2026
    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

10 authors.

Mei-Hong GeState Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China.
Shuai TanState Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China.
Wei NiuState Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China.
Feng GaoState Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China.
Shi-Tao LiuState Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China.
Lin-Lin YangState Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China.
Li-Wei LiuState Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China.
A-Ling TangState Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China. tangaling@gzeu.edu.cn.
Xiang ZhouState Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China. xiangzhou@gzu.edu.cn.
Song YangState Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China. jhzx.msm@gmail.com.

Funding

Major Scientific and Technological Achievement Transformation Project of Guizhou Province (Qian Ke He Zhong Yin Di [2024]027)National Key Research and Development Program of China No. 2024YFE0214300National Natural Science Foundation of China 32160661National Natural Science Foundation of China 32372610Outstanding Young Scientific and Technological Talent Project of Guizhou Province Qian Ke He Ping Tai Ren Cai YQK [2023]004Scientific and Technological Innovation Platform Research Project of Guizhou Province CXPTXM [2025] 012the Central Government Guides Local Science and Technology Development Fund Projects Qiankehezhongyindi [2023]001
6 · The paper itself

Abstract

The rising demand for ultrasensitive, field-deployable detection technologies has intensified interest in nanoprobe-based monitoring of environmental contaminants. Fomesafen (FSA), a widely used post-emergence agricultural herbicide, poses significant ecological and health risks due to its slow degradation and prolonged environmental persistence. Addressing the need for rapid in situ detection, we propose a novel turn-on fluorescent nanoprobe (RBO) that combines small-molecule self-assembly, target-triggered disassembly, and adaptive signal amplification to achieve highly sensitive and quantitative detection of FSA. This "immediate-response" system exhibits exceptional performance, including high selectivity, sub-minute response time (< 1 min), high sensitivity (LOD = 0.39 µM), and a dual fluorescent-colorimetric readout that enhances detection reliability. Field applications demonstrate that the nanoprobe supports diverse use cases, enabling on-site quantification of FSA on food surfaces and in soil, as well as real-time visualization and localization of FSA in plant tissues and zebrafish models for accurate assessment of pesticide-induced crop damage and ecological risk. Additionally, RBO has been adapted into test strips and hydrogel-based portable sensors and integrated with smartphone-imaging workflows, substantially improving on-site detection efficiency and device miniaturization. Collectively, this nanoprobe offers a powerful and reliable platform for monitoring FSA across agricultural, environmental, and biological matrices.

Indexed as

BenzamidesEnvironmental MonitoringFluorescent DyesHerbicidesNanoparticlesAnimalsBiosensing TechniquesColorimetryFluorescent Chemosensor CompoundsLimit of DetectionZebrafishBenzamidesFluorescent Chemosensor CompoundsFluorescent DyesfomesafenHerbicidesDual-recognitionField-deployableFomesafenNanoprobe

Identifiers

PMID41772577
PMCPMC13059455

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.