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Updated: May 31, 2026

Luminescence Resonance Energy Transfer to Study Conformational Changes in Membrane Proteins Expressed in Mammalian Cells
Published on: September 16, 2014
Tunable synaptic memory response using organic regioisomeric donor-acceptor-donor luminophore triads.
Mainak Bose1, Manoj Kangsabanik2, Dibyendu Dey1
1Department of Chemistry, Jadavpur University Kolkata-700032 India manaspanda.chemistry@jadavpuruniversity.in.
Researchers developed novel organic compounds for synaptic memory devices, mimicking biological learning. These materials offer tunable optoelectronic properties for advanced computing and memory applications.
Area of Science:
- Materials Science
- Organic Electronics
- Neuroscience
Background:
- Biological learning and memory are complex processes.
- Small molecular compounds offer a simplified model for studying synaptic functions.
- Organic semiconductors are promising for neuromorphic computing.
Purpose of the Study:
- To design and synthesize novel regioisomeric donor-acceptor-donor (DAD) fluorophores.
- To investigate the impact of substitution on molecular conjugation and optoelectronic properties.
- To evaluate the performance of these DAD fluorophores in optoelectronic synaptic memory devices.
Main Methods:
- Synthesis of novel DAD fluorophores.
- Photophysical characterization including luminescence and lifetime measurements.
- X-ray diffraction and theoretical calculations for structure-property elucidation.
- Fabrication and testing of two-terminal organic synaptic memory devices.
Main Results:
- Substitution-dependent solid-state luminescence and varied lifetimes were observed.
- Regiochemistry significantly influences π-π interactions and molecular orbitals.
- Devices exhibited key neuromorphic functionalities like paired-pulse facilitation and long-term potentiation.
- Demonstrated structure-property relationships for multifunctional organic semiconductors.
Conclusions:
- Regioisomerism provides design guidelines for advanced organic semiconductors.
- These materials show potential for synaptic memory, solid-state lighting, sensing, and bioinspired computing.
- The study advances the development of controllable and tunable chemical systems for modeling biological processes.
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