Multimodal Detection of α-Amanitin Using a Cell-Free Biosensing Platform

This study developed a transcription-based, multimodal cell-free biosensing platform for the sensitive detection of α-amanitin, a deadly mushroom toxin. The core design of the platform converts α-amanitin-dependent RNA polymerase inhibition into tunable, genetically encoded outputs. The system uses programmable DNA templates to produce specific RNA sequences, which are then processed in parallel by three independent signal transduction modules: fluorescence using the Malachite Green (MG) light-up RNA aptamer; colorimetry through RNA-directed gold nanoparticle aggregation; and enzymatic catalyzed by an in vitro transcribed G-quadruplex/hemin (G4/hemin) RNAzyme. This multimodal output strategy provides built-in self-validation for a single detection event, significantly enhancing result reliability. Evaluations demonstrated that the biosensor exhibits high sensitivity, with limits of detection (LODs) of 1.30 μg/mL for fluorescence detection, 0.69 μg/mL for AuNP-based colorimetric detection, and 6.29 μg/mL for RNAzyme-based colorimetric detection, and showed good selectivity and robust performance in complex matrices. Lyophilization tests confirmed operational stability for potential on-site applications. This work establishes a versatile, modular framework for transcription-based biosensing, with potential extension to other RNA polymerase inhibitors.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-06-25
DOI
https://doi.org/10.1021/acs.analchem.6c01287
Primary Topic
Silymarin and Mushroom Poisoning
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multimodal Detection of α-Amanitin Using a Cell-Free Biosensing Platform

Zhan Wu, Jing Huang
Analytical Chemistry
Silymarin and Mushroom Poisoning
article

Multimodal Detection of α-Amanitin Using a Cell-Free Biosensing Platform

Zhan Wu, Jing Huang
article en

Abstract

This study developed a transcription-based, multimodal cell-free biosensing platform for the sensitive detection of α-amanitin, a deadly mushroom toxin. The core design of the platform converts α-amanitin-dependent RNA polymerase inhibition into tunable, genetically encoded outputs. The system uses programmable DNA templates to produce specific RNA sequences, which are then processed in parallel by three independent signal transduction modules: fluorescence using the Malachite Green (MG) light-up RNA aptamer; colorimetry through RNA-directed gold nanoparticle aggregation; and enzymatic catalyzed by an in vitro transcribed G-quadruplex/hemin (G4/hemin) RNAzyme. This multimodal output strategy provides built-in self-validation for a single detection event, significantly enhancing result reliability. Evaluations demonstrated that the biosensor exhibits high sensitivity, with limits of detection (LODs) of 1.30 μg/mL for fluorescence detection, 0.69 μg/mL for AuNP-based colorimetric detection, and 6.29 μg/mL for RNAzyme-based colorimetric detection, and showed good selectivity and robust performance in complex matrices. Lyophilization tests confirmed operational stability for potential on-site applications. This work establishes a versatile, modular framework for transcription-based biosensing, with potential extension to other RNA polymerase inhibitors.

Analytical Chemistry
Hunan Normal University (CN), Ministry of Education (SA)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Silymarin and Mushroom Poisoning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.