Host-Guest Recognition-Driven Colorimetric/Fluorescent Nanosensor Enables Ultrasensitive Hazardous Dodine Detection...

Area of Science:

• Supramolecular chemistry
• Nanotechnology
• Analytical chemistry

Background:

• Global reliance on pesticides like the fungicide Dodine (DD) has led to ecological and health concerns.
• Environmental persistence and bioaccumulation of DD necessitate advanced real-time monitoring technologies.
• Current detection platforms for DD are underdeveloped, lacking multifunctionality.

Purpose of the Study:

• To develop a novel, multifunctional nanosensor for the rapid and sensitive detection of Dodine (DD).
• To engineer cucurbit[7]uril-based nanoarchitectures for enhanced photostability and dual-mode sensing.
• To explore applications beyond detection, including information encryption and biological mechanism elucidation.

Main Methods:

• Host-guest recognition strategy using cucurbit[7]uril-engineered nanoarchitectures (RhB-Py1&Q[7]).
• Development of a dual-mode (colorimetric/fluorescent) rod-shaped nanosensor.
• Field trials for on-site detection and quantification in various environmental matrices.
• Biological investigations using zebrafish models and plant studies.

Main Results:

• The nanosensor exhibits ultrafast response times (~12 s) and ultra-trace sensitivity (LOD = 6 nm).
• Exceptional selectivity for Dodine (DD) was achieved.
• Successful on-site detection and quantification of DD in crops, soils, and aquatic systems.
• Demonstrated programmable fluorescence encryption capabilities.
• Provided real-time insights into antifungal action, bioaccumulation pathways, and plant transport mechanisms.

Conclusions:

• Cucurbit[7]uril-engineered nanoarchitectures offer a promising platform for developing stable fluorescent sensors.
• The developed nanosensor advances analytical tool development for food safety monitoring and environmental surveillance.
• The study provides new insights into antifungal mechanisms and opens avenues for information encryption.