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Updated: Feb 10, 2026

Microfluidic Chip Fabrication and Method to Detect Influenza

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Published on: March 26, 2013

Single-chip multitarget detection by EGOFET-based aptasensors.

Elena Yu Poimanova¹, Elena A Kretova¹, Anna K Keshek^1,2

¹Enikolopov Institute of Synthetic Polymeric Materials of Russian Academy of Sciences, Profsoyuznaya Str. 70, 117393, Moscow, Russian Federation.

Journal of Materials Chemistry. B

|February 9, 2026

Summary

This summary is machine-generated.

This study introduces aptamer-modified electrolyte-gated field-effect transistors (EGOFETs) for multitarget detection. The EGOFETs can detect pH, silver ions, and influenza A virus using a single aptamer recognition element.

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Area of Science:

Biomedical Engineering
Nanoscience
Molecular Biology

Background:

Liquid multisensors are crucial for diverse applications.
Integrating multiple sensors onto a single chip is an active area of research.
Aptamer-modified electrolyte-gated field-effect transistors (EGOFETs) offer potential for sensitive biosensing.

Purpose of the Study:

To develop EGOFET-based sensors for single-chip multitarget detection.
To utilize an aptamer with pH-dependent conformational switching for sensing multiple analytes.
To demonstrate the feasibility of using a single recognition element for discriminating between different targets.

Main Methods:

Fabrication of aptamer-modified EGOFETs.
Utilizing an aptamer with an i-motif DNA structure exhibiting pH-dependent conformational changes.
Investigating the EGOFET response to pH variations, silver ions (Ag+), and influenza A virus.

Main Results:

The EGOFET demonstrated sensitivity to aptamer conformation changes.
The sensor detected pH changes in the 6-8 range via H+-dependent i-motif assembly.
The device distinguished between pH, Ag+ ions, and influenza A virus based on unique EGOFET signals.
Successful application in biological fluids like saliva and plasma was confirmed.

Conclusions:

A proof-of-concept for single-chip multitarget detection using EGOFETs with a single recognition element was achieved.
This work paves the way for managing EGOFET-based biosensor properties.
It lays the foundation for developing advanced single-chip multisensors on the EGOFET platform.