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Updated: May 22, 2025

07:53
µTongue: A Microfluidics-Based Functional Imaging Platform for the Tongue In Vivo
Published on: April 22, 2021
4.2K
Hydrogel In-Tape Electronic Tongue.
Ricardo Brito-Pereira1,2,3, Rita Policia2,3, Clarisse Ribeiro2
1BCMaterials, Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain.
Summary
A novel electronic tongue system (HITS) rapidly classifies beverages using a single, cost-effective sensor platform. This sustainable e-solution achieves 100% accuracy in differentiating drinks like coffee, juice, and wine within minutes.
Area of Science:
- Electrochemistry
- Sensor Technology
- Artificial Intelligence
Background:
- Electronic tongues mimic human taste for liquid analysis using electrochemical methods.
- Existing systems often require multiple electrodes and complex setups.
- There is a need for rapid, cost-effective, and sustainable liquid analysis solutions.
Purpose of the Study:
- To introduce the HITS (Hydrogel-Integrated Tongue System) concept for rapid and sequential beverage classification.
- To develop a single-platform electronic tongue using cost-effective materials.
- To demonstrate the system's efficiency, speed, and accuracy in liquid analysis.
Main Methods:
- Utilized interdigital electrodes made of carbon printed on recyclable PET.
- Employed interchangeable hydrogel tapes for a single analysis pore (150 μL).
- Integrated a semisolid electrolyte and applied AI/machine learning algorithms for data analysis.
Main Results:
- Achieved ultrafast analysis times of 5 minutes per sample.
- Successfully differentiated between coffee, juice, water, white wine, and red wine with 100% accuracy.
- Demonstrated a cost-effective and sustainable platform with reduced electrode requirements.
Conclusions:
- The HITS concept offers a precise, rapid, and sustainable electronic tongue solution.
- This versatile platform is suitable for applications in food science, quality control, and health monitoring.
- The system aligns with environmental concerns by offering a low-impact and scalable liquid analysis approach.

