Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 38 min ago
PreprintCC BYChemRxiv

Ion‐Selective Transistor Coupled Droplet Interface Bilayer with Short term Memory and Synaptic Plasticity

  • Nawara Tanzee Minim1,2
  • Essraa A Hussein3,2
  • Beliz Utebay4,5
  • Jonathan Rivnay4,5,6
  • Neha Kamat6,5,7
  • Stephen A Sarles1,2,3
7 affiliations
  1. 1Electrical Engineering and Computer Science
  2. 2University of Tennessee
  3. 3Mechanical and Aerospace Engineering
  4. 4Materials Science and Engineering
  5. 5Northwestern University
  6. 6Biomedical Engineering
  7. 7Chemical and Biological Engineering
Open at sourcePDFDOICite

Abstract

The integration of sensing, memory, and learning within a single device remains a major challenge for bioinspired electronics. Here, we present an ion‐selective transistor coupled droplet bilayer (TCDB) that combines potassium sensing, ionic memory, synaptic plasticity, and associative learning within a unified iontronic architecture. The platform utilizes a valinomycin‐functionalized droplet interface bilayer that provides selective K+ transport while simultaneously serving as an ionic reservoir that electrochemically gates an organic electrochemical transistor, directly coupling ion transport to adaptive electronic responses, linking ion recognition with information storage and processing. The DIB incorporated OECT exhibits selective potassium sensing together with pronounced hysteretic memory behavior and activity‐dependent conductance modulation characteristic of artificial synapses. Unlike conventional ion‐selective OECT sensors that function solely as transducers, the proposed architecture exploits the intrinsic dynamics of ion transport across a biomimetic membrane to encode and retain information associated with previous ionic events. The resulting device demonstrates the coexistence of sensing, memory retention, and synaptic plasticity within a single platform without requiring separate memory elements or external processing circuitry. This work establishes a new class of adaptive iontronic devices in which sensing and computation emerge from the same ionic processes. The findings open new opportunities for intelligent bioelectronic interfaces, neuromorphic chemical sensors, and membrane‐inspired computing systems.

Related

  1. Interface coupled MoS₂@NiCoV-LDH heterostructures for efficient water splitting: synergistic synthesis and DFT insights.
    Youssef M I Amin, Ziad Khalifa, Sameh O Abdellatif +2
    RSC advancesPeer-reviewedCC BYFull textElectrochemistry & energyEurope PMCPMC
  2. Mode-Selective and Anharmonicity-Controlled Energy Transport in Cavity-Coupled Water
    Sachith Wickramasinghe, Michael Fowler, Gerrit Groenhof +1
    arXivPreprintCC BY 4.0Full textPhysical chemistryOptics & photonicsarXiv
  3. Interface Reconstruction of nZVI with a Mesoporous Mg(OH)2 Shell: Coupled Mass Transport and Interfacial Electron Transfer During Perchlorate Transformation
    Keke Xu, Yongkang Sun, Lichao Tan +9
    NanomaterialsPeer-reviewedCC BY 4.0Materials & polymersCrossref
  4. Monitoring photosynthetic microorganism activity with an electrolyte-gated organic field effect transistor
    Jérémy Le Gall, Flavien Mouillard, Trung Ngoc Le +6
    Biosensors and BioelectronicsPeer-reviewedLicence not stated20 citedMaterials & polymersHAL
  5. Diclofenac aptasensor based on graphene field-effect transistor
    Teodora Lupoi, Florence Geneste, Bogdan Feier +2
    Sensors and Actuators B: ChemicalPeer-reviewedCC BY 4.0Full text1 citedGeneral chemistryHAL

Cite

BibTeXRIS
BibTeX
@misc{minim2026ionselective,
  title = {{Ion‐Selective Transistor Coupled Droplet Interface Bilayer with Short term Memory and Synaptic Plasticity}},
  author = {Nawara Tanzee Minim and Essraa A Hussein and Beliz Utebay and Jonathan Rivnay and Neha Kamat and Stephen A Sarles},
  howpublished = {ChemRxiv},
  year = {2026},
  month = aug,
  doi = {10.26434/chemrxiv.15008047/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008047/v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Ion‐Selective Transistor Coupled Droplet Interface Bilayer with Short term Memory and Synaptic Plasticity
AU  - Nawara Tanzee Minim
AU  - Essraa A Hussein
AU  - Beliz Utebay
AU  - Jonathan Rivnay
AU  - Neha Kamat
AU  - Stephen A Sarles
PY  - 2026
DA  - 2026/08/30
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15008047/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008047/v1
AB  - The integration of sensing, memory, and learning within a single device remains a major challenge for bioinspired electronics. Here, we present an ion‐selective transistor coupled droplet bilayer (TCDB) that combines potassium sensing, ionic memory, synaptic plasticity, and associative learning within a unified iontronic architecture. The platform utilizes a valinomycin‐functionalized droplet interface bilayer that provides selective K+ transport while simultaneously serving as an ionic reservoir that electrochemically gates an organic electrochemical transistor, directly coupling ion transport to adaptive electronic responses, linking ion recognition with information storage and processing. The DIB incorporated OECT exhibits selective potassium sensing together with pronounced hysteretic memory behavior and activity‐dependent conductance modulation characteristic of artificial synapses. Unlike conventional ion‐selective OECT sensors that function solely as transducers, the proposed architecture exploits the intrinsic dynamics of ion transport across a biomimetic membrane to encode and retain information associated with previous ionic events. The resulting device demonstrates the coexistence of sensing, memory retention, and synaptic plasticity within a single platform without requiring separate memory elements or external processing circuitry. This work establishes a new class of adaptive iontronic devices in which sensing and computation emerge from the same ionic processes. The findings open new opportunities for intelligent bioelectronic interfaces, neuromorphic chemical sensors, and membrane‐inspired computing systems.
ER  -