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A Programmable Plug-and-Play Sensing Platform for Ultrasensitive Detection via Adaptive Supramolecular Assembly
Qi Guo1, Qianqian Hou1, Yiyu Gong1
1State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, China.
ACS Sensors
|March 30, 2026
Summary
This study introduces a versatile polypeptoid-based sensing platform for detecting multiple analytes like dipicolinic acid and tetracycline. The system offers rapid, accurate detection and real-time monitoring, enhancing intelligent diagnostics and environmental sensing capabilities.
Area of Science:
- Materials Science
- Analytical Chemistry
- Biotechnology
Background:
- Advancing intelligent diagnostics and environmental monitoring requires versatile and programmable sensing platforms.
- Existing biosensors often face limitations in target diversity and field applicability.
Purpose of the Study:
- To develop a plug-and-play, polypeptoid-based sensing platform for rapid and accurate detection of multiple analytes.
- To demonstrate the platform's capability for both dipicolinic acid (DPA) and tetracycline (TC) detection, as well as bacterial spore monitoring.
Main Methods:
- Integration of a polypeptoid-lanthanide ion ratiometric fluorescent probe with magnetic bacterial enrichment.
- Utilizing the platform's structural programmability for functional adaptation.
- Coupling the sensing platform with portable devices for real-time quantification.
Main Results:
- Achieved over 90% capture efficiency in complex environments.
- Demonstrated a low detection limit of 5.73 nM for DPA and 11.21 nM for TC.
- Enabled real-time monitoring of bacterial spores from 10^1-10^8 CFU/mL with a 4.47 CFU/mL detection limit within 10 min.
Conclusions:
- The developed platform offers a general strategy for constructing multifunctional diagnostic tools.
- The system addresses key limitations of traditional biosensors, improving target diversity and field applicability.
- The plug-and-play nature and programmability enhance its utility for intelligent diagnostics and environmental monitoring.
