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TD-DFT Guided Advanced E-Eye Sensing Technique for On-site Quantification of Fe, Cr, F, and As in the Environmental, Biological, and Food Samples

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Robust Radical-Mediated Electrical Enzyme Assay (REEA) Cartridge FET Sensor toward Practical Applications.

Xiaoao Shi^1,2, Rui Ding^1,2, Hyun-June Jang^1,2

¹Chemical Sciences and Engineering Division, Physical Sciences and Engineering Directorate, Argonne National Laboratory, Lemont, Illinois 60439, United States.

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Summary

This study introduces a novel biosensing platform using radical-mediated electrical enzymatic assay (REEA)-integrated remote-gate field-effect transistors (FETs) for rapid infectious disease detection. The system achieves attomole-level detection without precalibration, overcoming key limitations of traditional FET biosensors.

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In Vitro Multiparametric Cellular Analysis by Micro Organic Charge-modulated Field-effect Transistor Arrays

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Published on: September 20, 2021

Area of Science:

Biosensing technologies
Field-effect transistor (FET) applications
Infectious disease diagnostics

Background:

Field-effect transistor (FET)-based biosensors show promise for early infectious disease detection.
Limitations include Debye screening length, low signal strength, and extensive precalibration for device variation.
Existing methods require hours-long precalibration to ensure accuracy.

Purpose of the Study:

To develop a novel biosensing platform overcoming FET biosensor limitations.
To enable sensitive and rapid detection of infectious disease biomarkers.
To eliminate the need for hours-long precalibration in FET biosensor deployment.

Main Methods:

Integration of radical-mediated electrical enzymatic assay (REEA) with remote-gate FET (RGFET).
Development of a miniaturized standard cartridge design for the REEA RGFET system.
Application of a deep-learning-based analysis framework for data interpretation.
Utilized attomole-level detection of mouse immunoglobulin G (IgG) and detection of *Staphylococcus aureus*.

Main Results:

The REEA mechanism allows analyte detection beyond the Debye screening length.
Achieved 10- to 15-fold signal amplification compared to traditional FET biosensors (up to ~150 mV dec^-1).
Demonstrated attomole-level detection of mouse IgG and *Staphylococcus aureus* detection comparable to ELISA, all without precalibration.

Conclusions:

The REEA RGFET platform overcomes Debye screening limitations and enhances signal strength.
Intrinsic self-compensation in the cartridge design eliminates the need for hours-long precalibration.
The developed system offers a sensitive, cost-effective, and practical approach for infectious pathogen detection.