Special Issue "Organic Bioelectronics: Design, Fabrication, Characterization, Modeling and Applications"

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E:Engineering and Technology".

Deadline for manuscript submissions: 25 May 2022.

Special Issue Editors

Dr. Yi Yang
E-Mail Website
Guest Editor
School of Engineering Technology, Purdue University, West Lafayette, IN 47907, USA
Interests: organic electronics; flexible electronics; multiphysics modeling; semiconductor physics; neuromorphic circuits
Dr. Robert Nawrocki
E-Mail Website
Guest Editor
School of Engineering Technology, Purdue University, West Lafayette, IN 47907, USA
Interests: bioelectronics; neuromorphic systems; organic electronics; printed electronics; biosensors

Special Issue Information

Dear Colleagues,

Organic bioelectronics is an interdisciplinary study that involves the integration of electronics and living systems. Applications of organic bioelectronics include, but are not limited to, tactile and metabolite sensors for electrophysiological recording and stimulation; robust epidermal and implantable devices that aid the monitoring of patient’s healthcare; electronics for both detection and characterization of biological materials, especially at the cellular and subcellular level; assistive technologies for individuals with brain-related disease or injury, such as paralysis, and artificial retinas; and new technology for protein structure–function measurements. Realizing the promise of organic bioelectronics requires research that crosses disciplines, such as electrical engineering, biology, chemistry, physics, and materials science.

The recent developments in organic bioelectronics are facing new challenges, such as lack of adequate metrological tools for cellular and molecular measurements, the difficulty in creating better sensors and developing novel fabrication techniques, the limited bandwidth and lower detection precision in biosensors and actuators, and the necessity of verifying whether massive parallelization of biosensors can bring the same benefits as those in silicon integrated circuits in consideration of Moore’s law. To address these challenges, this Special Issue invites high-quality submissions with significant scientific and technical contributions related to the key topics of organic bioelectronics as follows:

  • Self-assembled electronic materials with long-term stability and biodegradability
  • Massively parallel hardware architectures for high-performance computing
  • Biotic interface between organic sensors and biological tissues
  • Additive manufacturing for new information processing systems, sensors, actuators, and molecular fabrication down to the atomic level
  • Multiphysics modeling of biocompatible and flexible bioelectronic devices.

Dr. Yi Yang
Dr. Robert Nawrocki
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • organic bioelectronics
  • self-assembled electronic materials
  • biosensors
  • ultra-thin sensors
  • additive manufacturing
  • molecular fabrication
  • multiphysics modeling
  • flexible bioelectronics

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
Modeling the Double Layer Capacitance Effect in Electrolyte Gated FETs with Gel and Aqueous Electrolytes
Micromachines 2021, 12(12), 1569; https://doi.org/10.3390/mi12121569 - 17 Dec 2021
Viewed by 372
Abstract
Potential implementation of bio-gel Electrolyte Double Layer capacitors (bio-gel EDLCs) and electrolyte-gated FET biosensors, two commonly reported configurations of bio-electrolytic electronic devices, requires a robust analysis of their complex internal capacitive behavior. Presently there is neither enough of the parameter extraction literature, nor [...] Read more.
Potential implementation of bio-gel Electrolyte Double Layer capacitors (bio-gel EDLCs) and electrolyte-gated FET biosensors, two commonly reported configurations of bio-electrolytic electronic devices, requires a robust analysis of their complex internal capacitive behavior. Presently there is neither enough of the parameter extraction literature, nor an effective simulation model to represent the transient behavior of these systems. Our work aims to supplement present transient thin film transistor modelling techniques with the reported parameter extraction method, to accurately model both bio-gel EDLC and the aqueous electrolyte gated FET devices. Our parameter extraction method was tested with capacitors analogous to polymer-electrolyte gated FETs, electrolyte gated Field effect transistor (EGOFET) and Organic Electrolyte Gated Field Effect Transistor (OEGFET) capacitance stacks. Our method predicts the input/output electrical behavior of bio-gel EDLC and EGOFET devices far more accurately than conventional DLC techniques, with less than 5% error. It is also more effective in capturing the characteristic aqueous electrolyte charging behavior and maximum charging capability which are unique to these systems, than the conventional DLC Zubieta and the Two branch models. We believe this significant improvement in device simulation is a pivotal step towards further integration and commercial implementation of organic bio-electrolyte devices. The effective reproduction of the transient response of the OEGFET equivalent system also predicts the transient capacitive effects observed in our previously reported label-free OEGFET biosensor devices. This is the first parameter extraction method specifically designed for electrical parameter-based modelling of organic bio-electrolytic capacitor devices. Full article
Show Figures

Figure 1

Back to TopTop