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Updated: Feb 19, 2026

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Visualization of Bacterial Resistance using Fluorescent Antibiotic Probes
Published on: March 2, 2020
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Fingerprinting antibiotics with PAE-based fluorescent sensor arrays.
Jinsong Han1, Benhua Wang1, Markus Bender1
1Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany.
Summary
Researchers developed an advanced chemical tongue using poly(p-aryleneethynylene)s and detergents to detect antibiotics. A refined six-element tongue effectively distinguishes diverse antibiotics, offering a new method for creating powerful sensor arrays.
Area of Science:
- Materials Science
- Analytical Chemistry
- Chemical Engineering
Background:
- Chemical tongues are sensor arrays designed for detecting specific analytes.
- Poly(p-aryleneethynylene)s (PAE) and poly(p-phenyleneethynylene)s (PPE) are conjugated polymers with potential in sensor applications.
- Discrimination of structurally similar compounds like antibiotics remains a challenge for sensor arrays.
Purpose of the Study:
- To develop an evolution process for creating a chemical tongue capable of discerning antibiotics.
- To enhance the sensor array by cross-breeding different tongue elements.
- To optimize the sensor array for superior antibiotic discrimination through pruning.
Main Methods:
- An initial 24-element tongue was created using PAE and detergents.
- This tongue was cross-bred with PPE-based elements at various pH levels to form a 30-element array.
- Principal component analysis was employed to prune the array, resulting in a six-element filial tongue.
Main Results:
- The 24-element tongue successfully discerned antibiotics.
- The enlarged 30-element array showed improved capabilities.
- The optimized six-element filial tongue demonstrated superior performance in discriminating structurally different antibiotics compared to the original and composite tongues.
Conclusions:
- An effective evolution and pruning process for generating discriminative chemical tongues was established.
- The developed method provides a strategy for creating powerful, low-selectivity sensor elements.
- This approach can be generalized for configuring sensor arrays for complex analytical tasks.

