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Multimodal Detection of α-Amanitin Using a Cell-Free Biosensing Platform
1Key Laboratory of Phytochemical R&D of Hunan Province, and Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research (Ministry of Education of China), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, China.
Analytical Chemistry
|June 25, 2026
Summary
This study presents a novel biosensor for detecting deadly mushroom toxin α-amanitin. The platform uses transcription-based, multimodal outputs for sensitive and reliable detection, enhancing safety.
Area of Science:
- Biotechnology
- Biosensing
- Molecular Diagnostics
Background:
- α-amanitin is a potent toxin found in certain mushrooms, posing a significant health risk.
- Accurate and sensitive detection methods for α-amanitin are crucial for public safety and clinical diagnostics.
Purpose of the Study:
- To develop a transcription-based, multimodal cell-free biosensing platform for sensitive α-amanitin detection.
- To convert α-amanitin-dependent RNA polymerase inhibition into detectable outputs.
- To enhance the reliability of toxin detection through a multimodal output strategy.
Main Methods:
- Utilized programmable DNA templates to generate RNA sequences.
- Employed three parallel signal transduction modules: Malachite Green aptamer fluorescence, RNA-directed gold nanoparticle colorimetry, and G-quadruplex/hemin RNAzyme catalysis.
- Integrated a multimodal output strategy for built-in self-validation.
Main Results:
- Achieved high sensitivity with limits of detection (LODs) of 1.30 μg/mL (fluorescence), 0.69 μg/mL (AuNP colorimetry), and 6.29 μg/mL (RNAzyme colorimetry).
- Demonstrated good selectivity and robust performance in complex matrices.
- Confirmed operational stability through lyophilization, indicating potential for on-site applications.
Conclusions:
- Established a versatile and modular transcription-based biosensing framework.
- The developed platform offers sensitive, reliable, and self-validated detection of α-amanitin.
- The framework has potential for extension to detect other RNA polymerase inhibitors.

