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Advances in Electrochemical Sensors for Biomedical Applications
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Advances in Electrochemical Sensors for Biomedical Applications

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

Deadline for manuscript submissions: 25 January 2025 | Viewed by 2523

Special Issue Editors

Prof. Dr. Roger Narayan

E-Mail Website
Guest Editor
Department of Materials Science and Engineering, North Carolina State University, Raleigh, NC 27695, USA
Interests: laser-based fabrication of medical devices; nanostructured biomaterials; drug delivery; laser processing of nanostructured and microstructured biomaterials
Special Issues, Collections and Topics in MDPI journals
Dr. Yugender Goud Kotagiri

E-Mail Website
Guest Editor
Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad 678623, Kerala, India
Interests: biosensors; electrochemical sensors; wearable sensors; aptamers; point-of-care diagnostics; electrochemistry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The early detection of chronic diseases is an important task in modern research. Biomarker screening can help in the diagnosis of chronic diseases such as diabetes and heart disease. Current technologies available on the market are not satisfactory solutions for medical diagnoses. There is a need to improve the detection of biomarkers associated with chronic disease. Electrochemical biosensing strategies may support the detection of chronic disease biomarkers.

This Special Issue, “Advances in Electrochemical Sensors for Biomedical Applications”, covers research on the point of care or wearable-based sensors for the rapid detection of various analytes, including biomarkers, therapeutic drugs, and physiologically relevant ions, with the aid of electrochemical transduction techniques. Here, the main focus is on the development of hand-held point-of-care devices and smart wearable sensing devices with advanced biosensing strategies. 

We encourage authors to submit research articles and reviews to this Special Issue to share your work, insights, and recent accomplishments with the biosensor research community.

Prof. Dr. Roger Jagdish Narayan
Dr. Yugender Goud Kotagiri
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.

Keywords

  • biosensors
  • point-of-care diagnostics
  • electrochemical sensors
  • wearable sensors
  • In vivo sensors
  • biomarkers screening
  • therapeutic drug monitoring
  • aptasensors
  • immunosensors
  • molecular-imprinted polymers
  • chemical sensors
  • potentiometric sensors

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Published Papers (2 papers)

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14 pages, 4353 KiB  
Article
Anti-IgG Doped Melanin Nanoparticles Functionalized Quartz Tuning Fork Immunosensors for Immunoglobulin G Detection: In Vitro and In Silico Study
by Dilhan Gürcan, Engin Baysoy and Gizem Kaleli-Can
Sensors 2024, 24(13), 4319; https://doi.org/10.3390/s24134319 - 3 Jul 2024
Viewed by 895
Abstract
The quartz tuning fork (QTF) is a promising instrument for biosensor applications due to its advanced properties such as high sensitivity to physical quantities, cost-effectiveness, frequency stability, and high-quality factor. Nevertheless, the fork’s small size and difficulty in modifying the prongs’ surfaces limit [...] Read more.
The quartz tuning fork (QTF) is a promising instrument for biosensor applications due to its advanced properties such as high sensitivity to physical quantities, cost-effectiveness, frequency stability, and high-quality factor. Nevertheless, the fork’s small size and difficulty in modifying the prongs’ surfaces limit its wide use in experimental research. Our study presents the development of a QTF immunosensor composed of three active layers: biocompatible natural melanin nanoparticles (MNPs), glutaraldehyde (GLU), and anti-IgG layers, for the detection of immunoglobulin G (IgG). Frequency shifts of QTFs after MNP functionalization, GLU activation, and anti-IgG immobilization were measured with an Asensis QTF F-master device. Using QTF immunosensors that had been modified under optimum conditions, the performance of QTF immunosensors for IgG detection was evaluated. Accordingly, a finite element method (FEM)-based model was produced using the COMSOL Multiphysics software program (COMSOL License No. 2102058) to simulate the effect of deposited layers on the QTF resonance frequency. The experimental results, which demonstrated shifts in frequency with each layer during QTF surface functionalization, corroborated the simulation model predictions. A modelling error of 0.05% was observed for the MNP-functionalized QTF biosensor compared to experimental findings. This study validated a simulation model that demonstrates the advantages of a simulation-based approach to optimize QTF biosensors, thereby reducing the need for extensive laboratory work. Full article
(This article belongs to the Special Issue Advances in Electrochemical Sensors for Biomedical Applications)
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13 pages, 1935 KiB  
Article
Utilizing COVID-19 as a Model for Diagnostics Using an Electrochemical Sensor
by Ava Gevaerd, Emmanuelle A. Carneiro, Jeferson L. Gogola, Diego R. P. Nicollete, Erika B. Santiago, Halanna P. Riedi, Adriano Timm, João V. Predebon, Luis F. Hartmann, Victor H. A. Ribeiro, Carlos Rochitti, Gustavo L. Marques, Maira M. O. N. Loesch, Bernardo M. M. de Almeida, Sérgio Rogal-Junior and Marcus V. M. Figueredo
Sensors 2024, 24(12), 3772; https://doi.org/10.3390/s24123772 - 10 Jun 2024
Cited by 1 | Viewed by 1017
Abstract
This paper reports a rapid and sensitive sensor for the detection and quantification of the COVID-19 N-protein (N-PROT) via an electrochemical mechanism. Single-frequency electrochemical impedance spectroscopy was used as a transduction method for real-time measurement of the N-PROT in an immunosensor system based [...] Read more.
This paper reports a rapid and sensitive sensor for the detection and quantification of the COVID-19 N-protein (N-PROT) via an electrochemical mechanism. Single-frequency electrochemical impedance spectroscopy was used as a transduction method for real-time measurement of the N-PROT in an immunosensor system based on gold-conjugate-modified carbon screen-printed electrodes (Cov-Ag-SPE). The system presents high selectivity attained through an optimal stimulation signal composed of a 0.0 V DC potential and 10 mV RMS−1 AC signal at 100 Hz over 300 s. The Cov-Ag-SPE showed a log response toward N-PROT detection at concentrations from 1.0 ng mL−1 to 10.0 μg mL−1, with a 0.977 correlation coefficient for the phase (θ) variation. An ML-based approach could be created using some aspects observed from the positive and negative samples; hence, it was possible to classify 252 samples, reaching 83.0, 96.2 and 91.3% sensitivity, specificity, and accuracy, respectively, with confidence intervals (CI) ranging from 73.0 to 100.0%. Because impedance spectroscopy measurements can be performed with low-cost portable instruments, the immunosensor proposed here can be applied in point-of-care diagnostics for mass testing, even in places with limited resources, as an alternative to the common diagnostics methods. Full article
(This article belongs to the Special Issue Advances in Electrochemical Sensors for Biomedical Applications)
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