Host‐Guest Recognition‐Driven Colorimetric/Fluorescent Nanosensor Enables Ultrasensitive Hazardous Dodine Detection With Versatile Applications

Global pesticide reliance since the 20th century has paradoxically secured food supplies while escalating ecological/health crises, demanding advanced monitoring technologies. The fungicide Dodine (DD) epitomizes this dilemma: exceeding 10 000 metric tons of annual use for crop protection, its environmental persistence from farming mismanagement causes ecosystem-scale bioaccumulation, yet multifunctional real-time detection platforms remain critically underdeveloped. Herein, we pioneer cucurbit[7]uril-engineered nanoarchitectures (RhB-Py1&Q[7]) via employing a host-guest recognition strategy. This molecular engineering strategy suppresses fluorophore aggregation while boosting photostability, yielding a dual-mode (colorimetric/fluorescent) rod-shaped nanosensor with ultrafast response times (∼12 s), ultra-trace sensitivity (LOD = 6 nm), and exceptional selectivity. Field trials demonstrated on-site detection and robust DD quantification across crops, soils, and aquatic systems. Beyond conventional detection applications, the platform transcends first employed as programmable fluorescence encryption. Biological investigations revealed transformative insights: real-time mapping of fungal membrane disruption elucidates antifungal action; zebrafish models expose hepatic-intestinal bioaccumulation pathways; plant studies decode apoplastic transport mechanisms. Overall, this work not only expands supramolecular chemistry's applications for developing stable fluorescent sensors but also informs analytical tool development for food safety monitoring, antifungal mechanisms, and information encryption.

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Publication Details

Journal
Small
Published
2026-04-30
DOI
https://doi.org/10.1002/smll.202511193
Primary Topic
Molecular Sensors and Ion Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Host‐Guest Recognition‐Driven Colorimetric/Fluorescent Nanosensor Enables Ultrasensitive Hazardous Dodine Detection With Versatile Applications

A-Ling Tang, Meihong Ge, Yongjie Li, Hou-Yun Huang et al.
Small
Molecular Sensors and Ion Detection
article

Host‐Guest Recognition‐Driven Colorimetric/Fluorescent Nanosensor Enables Ultrasensitive Hazardous Dodine Detection With Versatile Applications

A-Ling Tang, Meihong Ge, Yongjie Li, Hou-Yun Huang, Guang-Ye Wang, Wei Niu, Xiang Zhou, Li-Wei Liu, Song Yang, Shuai Tan
article en

Abstract

Global pesticide reliance since the 20th century has paradoxically secured food supplies while escalating ecological/health crises, demanding advanced monitoring technologies. The fungicide Dodine (DD) epitomizes this dilemma: exceeding 10 000 metric tons of annual use for crop protection, its environmental persistence from farming mismanagement causes ecosystem-scale bioaccumulation, yet multifunctional real-time detection platforms remain critically underdeveloped. Herein, we pioneer cucurbit[7]uril-engineered nanoarchitectures (RhB-Py1&Q[7]) via employing a host-guest recognition strategy. This molecular engineering strategy suppresses fluorophore aggregation while boosting photostability, yielding a dual-mode (colorimetric/fluorescent) rod-shaped nanosensor with ultrafast response times (∼12 s), ultra-trace sensitivity (LOD = 6 nm), and exceptional selectivity. Field trials demonstrated on-site detection and robust DD quantification across crops, soils, and aquatic systems. Beyond conventional detection applications, the platform transcends first employed as programmable fluorescence encryption. Biological investigations revealed transformative insights: real-time mapping of fungal membrane disruption elucidates antifungal action; zebrafish models expose hepatic-intestinal bioaccumulation pathways; plant studies decode apoplastic transport mechanisms. Overall, this work not only expands supramolecular chemistry's applications for developing stable fluorescent sensors but also informs analytical tool development for food safety monitoring, antifungal mechanisms, and information encryption.

Small
Guizhou University (CN), Guizhou Education University (CN), Ministry of Education (RO)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 14%
Molecular Sensors and Ion Detection
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