Organic Bioelectronics in Microphysiological Systems: Bridging the Gap Between Biological Systems and Electronic Technologies DOI Creative Commons
Pauline Coquart,

Amor Haddad,

Dimitrios A. Koutsouras

и другие.

Biosensors, Год журнала: 2025, Номер 15(4), С. 253 - 253

Опубликована: Апрель 16, 2025

The growing burden of degenerative, cardiovascular, neurodegenerative, and cancerous diseases necessitates innovative approaches to improve our pathophysiological understanding ability modulate biological processes. Organic bioelectronics has emerged as a powerful tool in this pursuit, offering unique interact with biology due the mixed ionic–electronic conduction tissue-mimetic mechanical properties conducting polymers (CPs). These materials enable seamless integration systems across different levels complexity, from monolayers complex 3D models, microfluidic chips, even clinical applications. CPs can be processed into diverse formats, including thin films, hydrogels, scaffolds, electrospun fibers, allowing fabrication advanced bioelectronic devices such multi-electrode arrays, transistors (EGOFETs, OECTs), ion pumps, photoactuators. This review examines CP-based vivo vitro microphysiological systems, focusing on their monitor key events, electrical activity, metabolic changes, biomarker concentrations, well potential for electrical, mechanical, chemical stimulation. We highlight versatility biocompatibility role advancing personalized medicine regenerative therapies discuss future directions organic bridge gap between electronic technologies.

Язык: Английский

Deep Learning-Assisted Triboelectric Sensor for Complex Gesture Recognition DOI Creative Commons
Ping Zhang,

Weimeng Pan,

Zhihao Li

и другие.

ACS Omega, Год журнала: 2025, Номер 10(9), С. 9381 - 9389

Опубликована: Фев. 26, 2025

With the rapid development of Internet Things (IoT) and 5G technology, there has been a considerable increase in demand for self-powered flexible sensors. However, existing solutions frequently prove inadequate regarding flexibility, energy efficiency, accuracy with which gestures can be recognized, particularly noncontact operation scenarios. As result, is need innovative developments sensor technology. This study proposes an artificial intelligence-based gesture recognition system comprising triboelectric ring, Arduino signal processing module, deep learning module. Our approach enables direct reading signals by through integrated circuits, thereby maintaining output voltage within input range commonly used microcontrollers. The integration technology sophisticated methodologies, notably utilization one-dimensional convolutional neural network (CNN), enabled that exhibits rate exceeding 95% 12 distinct gestures. demonstrates prospective utility sensors realms recognition, wearable human–machine interaction.

Язык: Английский

Процитировано

0
Design Strategies and Emerging Applications of Conductive Hydrogels in Wearable Sensing DOI Creative Commons
Yingchun Li, Shaozhe Tan,

X Y Zhang

и другие.

Gels, Год журнала: 2025, Номер 11(4), С. 258 - 258

Опубликована: Апрель 1, 2025

Conductive hydrogels, integrating high conductivity, mechanical flexibility, and biocompatibility, have emerged as crucial materials driving the evolution of next-generation wearable sensors. Their unique ability to establish seamless interfaces with biological tissues enables real-time acquisition physiological signals, external stimuli, even therapeutic feedback, paving way for intelligent health monitoring personalized medical interventions. To fully harness their potential, significant efforts been dedicated tailoring conductive networks, properties, environmental stability these hydrogels through rational design systematic optimization. This review comprehensively summarizes strategies categorized into metal-based, carbon-based, polymer-based, ionic, hybrid systems. For each type, highlights structural principles, conductivity enhancement, approaches simultaneously enhance robustness long-term under complex environments. Furthermore, emerging applications in sensing systems are thoroughly discussed, covering signal monitoring, mechano-responsive platforms, closed-loop diagnostic–therapeutic Finally, this identifies key challenges offers future perspectives guide development multifunctional, intelligent, scalable hydrogel sensors, accelerating translation advanced flexible electronics smart healthcare technologies.

Язык: Английский

Процитировано

0
Organic Bioelectronics in Microphysiological Systems: Bridging the Gap Between Biological Systems and Electronic Technologies DOI Creative Commons
Pauline Coquart,

Amor Haddad,

Dimitrios A. Koutsouras

и другие.

Biosensors, Год журнала: 2025, Номер 15(4), С. 253 - 253

Опубликована: Апрель 16, 2025

The growing burden of degenerative, cardiovascular, neurodegenerative, and cancerous diseases necessitates innovative approaches to improve our pathophysiological understanding ability modulate biological processes. Organic bioelectronics has emerged as a powerful tool in this pursuit, offering unique interact with biology due the mixed ionic–electronic conduction tissue-mimetic mechanical properties conducting polymers (CPs). These materials enable seamless integration systems across different levels complexity, from monolayers complex 3D models, microfluidic chips, even clinical applications. CPs can be processed into diverse formats, including thin films, hydrogels, scaffolds, electrospun fibers, allowing fabrication advanced bioelectronic devices such multi-electrode arrays, transistors (EGOFETs, OECTs), ion pumps, photoactuators. This review examines CP-based vivo vitro microphysiological systems, focusing on their monitor key events, electrical activity, metabolic changes, biomarker concentrations, well potential for electrical, mechanical, chemical stimulation. We highlight versatility biocompatibility role advancing personalized medicine regenerative therapies discuss future directions organic bridge gap between electronic technologies.

Язык: Английский

Процитировано

0