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Updated: Jul 10, 2026

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
Published on: September 16, 2014
A Multipurpose receptor composed of promiscuous proteins. Analyte detection through pattern recognition
Johan Viljanen1, Jenny Larsson, Andréas Larsson
1IFM, Linköping University, S-581 83, Linköping, Sweden.
Researchers developed a novel "electronic nose" using modified human glutathione transferase A1 proteins. This artificial receptor array detects various analytes through fluorescence pattern recognition, paving the way for advanced biosensing systems.
Area of Science:
- Biochemistry
- Biotechnology
- Biosensing
Background:
- Development of artificial receptors for analyte detection.
- Utilizing protein scaffolds for sensing applications.
- Previous work on site-specific modification of glutathione transferase A1.
Purpose of the Study:
- To create a multipurpose artificial receptor array.
- To investigate mutant human glutathione transferase A1 (A1) as a sensor.
- To enable analyte detection via fluorescence spectroscopy and pattern recognition.
Main Methods:
- Site-specific labeling of lysine residue (A216K) with coumarin.
- Random mutagenesis to create a library of M208X mutants.
- Coumarin conjugation and fluorescence spectral analysis of protein mutants with various analytes.
- Immobilization of coumarin-labeled proteins onto hydrogel chips.
Main Results:
- Successfully generated and labeled 11 A216K/M208X double mutants.
- Demonstrated distinct fluorescence spectral changes in response to diverse analytes (acids, glutathione conjugates, CDNB).
- Achieved detection via pattern recognition with dissociation constants (Kd) from low micromolar to low millimolar.
- Established a surface-based biosensing system by anchoring proteins to hydrogel chips.
Conclusions:
- Initiated the development of a multipurpose artificial receptor array.
- Showcased the potential of promiscuous protein binders for detailed analyte readout.
- Highlighted the utility of fluorescence pattern recognition for complex sensing tasks.
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