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Electrical Impedance Spectroscopy Technology

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 1969

Special Issue Editors


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Guest Editor
1.Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway
2. Department of Clinical and Biomedical Engineering, Oslo University Hospital, 0424 Oslo, Norway
Interests: electrical bioimpedance; biomedical sensors; electrodes and electrode systems; analog electronics; memristors

Special Issue Information

Dear Colleagues,

Electrochemical impedance spectroscopy (EIS) is a powerful technique for both quantitative and qualitative analysis. It facilitates the measurement of quantities that cannot be directly accessed, upholds a high level of measurement precision, and permits the simultaneous measurement of multiple quantities. EIS has been proven to be a useful tool for the analysis of interfacial or bulk electrical properties of the electrode, which can be used to quantitatively determine electrochemical processes. EIS enables label-free detection with a high signal-to noise ratio amenable to on-site analysis. It delivers comprehensive insights into materials and systems while being non-intrusive and highly efficient in terms of the measurement time, procedures, and potential for integration into embedded systems.

To highlight the recent advances in the development of electrical impedance spectroscopy technology, MDPI’s Sensors is publishing a Special Issue on “Electrical Impedance Spectroscopy Technology”. We are seeking contributions in the form of original research and review articles, covering topics including but not limited to the following:

  • Material testing and characterization;
  • Corrosion and coatings;
  • Bioimpedance spectroscopy for bio- and medical applications;
  • Sensors, biosensors, and electrochemical sensors;
  • Energy storage, batteries, and capacitors;
  • Food characterization
  • Components and system design of impedance spectroscopy measurement devices
  • Signal processing, modeling and artificial intelligence for impedance spectroscopy

Prof. Dr. Ørjan Grøttem Martinsen
Prof. Dr. Olfa Kanoun
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 submissions that pass pre-check are 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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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.

Published Papers (1 paper)

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Research

39 pages, 24480 KiB  
Article
Development of a Smart Wireless Multisensor Platform for an Optogenetic Brain Implant
by André B. Cunha, Christin Schuelke, Alireza Mesri, Simen K. Ruud, Aleksandra Aizenshtadt, Giorgio Ferrari, Arto Heiskanen, Afia Asif, Stephan S. Keller, Tania Ramos-Moreno, Håvard Kalvøy, Alberto Martínez-Serrano, Stefan Krauss, Jenny Emnéus, Marco Sampietro and Ørjan G. Martinsen
Sensors 2024, 24(2), 575; https://doi.org/10.3390/s24020575 - 16 Jan 2024
Viewed by 1515
Abstract
Implantable cell replacement therapies promise to completely restore the function of neural structures, possibly changing how we currently perceive the onset of neurodegenerative diseases. One of the major clinical hurdles for the routine implementation of stem cell therapies is poor cell retention and [...] Read more.
Implantable cell replacement therapies promise to completely restore the function of neural structures, possibly changing how we currently perceive the onset of neurodegenerative diseases. One of the major clinical hurdles for the routine implementation of stem cell therapies is poor cell retention and survival, demanding the need to better understand these mechanisms while providing precise and scalable approaches to monitor these cell-based therapies in both pre-clinical and clinical scenarios. This poses significant multidisciplinary challenges regarding planning, defining the methodology and requirements, prototyping and different stages of testing. Aiming toward an optogenetic neural stem cell implant controlled by a smart wireless electronic frontend, we show how an iterative development methodology coupled with a modular design philosophy can mitigate some of these challenges. In this study, we present a miniaturized, wireless-controlled, modular multisensor platform with fully interfaced electronics featuring three different modules: an impedance analyzer, a potentiostat and an optical stimulator. We show the application of the platform for electrical impedance spectroscopy-based cell monitoring, optical stimulation to induce dopamine release from optogenetically modified neurons and a potentiostat for cyclic voltammetry and amperometric detection of dopamine release. The multisensor platform is designed to be used as an opto-electric headstage for future in vivo animal experiments. Full article
(This article belongs to the Special Issue Electrical Impedance Spectroscopy Technology)
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