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Biosensors
Special Issues
Nanobiosensors Based on Electrochemical Principles
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Nanobiosensors Based on Electrochemical Principles

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor Materials".

Deadline for manuscript submissions: 30 October 2026 | Viewed by 3294

Editors

Dr. Anju Joshi

E-Mail Website
Guest Editor
Center for Bioelectronics, Old Dominion University, Norfolk, VA 23508, USA
Interests: biosensing; electrochemistry; nanostructures; bioconjugation; wearables; biosensors
Dr. Gymama Slaughter

E-Mail Website
Guest Editor
1. Center for Bioelectronics, Old Dominion University, Norfolk, VA 23508, USA
2. Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA
Interests: ensor–processor integration; bioelectronics design and theory; optimization methods for physical circuit design; biologically inspired computing (neural networks); sensor interfacing and wireless networking and communications; bioengineering; biosensors; bio-MEMS; fluidic devices
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleague,

In recent years, nanobiosensors based on electrochemical transduction methods have emerged as a powerful technology in analytical chemistry and bioengineering, enabling a new generation of efficient miniaturized detection systems. The integration of diverse nanomaterials such as metal nanoparticles, carbon nanostructures, and hybrid nanocomposites has resulted in electrochemical biosensors with remarkable capabilities for detecting low levels of chemical and biological analytes in real time within point-of-care and portable diagnostic platforms.

Continuous innovations in nanostructured electrode design, surface functionalization, and interfacial engineering have significantly broadened the application scope of nanobiosensors across clinical diagnostics, environmental monitoring, and food quality assessment. However, achieving stable and reproducible electrochemical responses in complex biological matrices remains a major challenge and critical focus of ongoing research. Recent efforts emphasize the development of functional nanostructures, innovative surface chemistries, self-powered sensing systems, AI-assisted signal processing, and integration with flexible or microfluidic platforms to realize next-generation electrochemical nanobiosensors.

This Special Issue on “Nanobiosensors Based on Electrochemical Principles” aims to highlight the latest advances in material design, device engineering, and analytical methodologies for nanoscale electrochemical detection. We welcome the submission of original research articles, reviews, and short communications addressing novel nanomaterial synthesis, interface engineering, wearable and implantable electrochemical devices, multiplexed detection strategies, and emerging translational applications.

Dr. Anju Joshi
Dr. Gymama Slaughter
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biosensors 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 2200 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

  • electrochemical
  • biosensor
  • nanomaterial
  • point-of-care
  • portable
  • wearable
  • microfluidic

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Published Papers (3 papers)

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Research

19 pages, 1505 KB  
Article
Magnetic Beads-Based Electrochemical Label-Free DNA-Bioassay for the Detection of Peanut Allergen Ara h2 in Food Matrices
by Juan Pablo Hervás-Pérez, Sergio Izcara and Marta Sánchez-Paniagua
Biosensors 2026, 16(7), 387; https://doi.org/10.3390/bios16070387 - 17 Jul 2026
Viewed by 476
Abstract
The reliable detection of the peanut allergen Ara h2 in processed foods remains a major challenge, since thermal and high-pressure treatments can alter protein structure and limit the performance of immunoassays. DNA-based methods provide a robust alternative to this approach. In this work, [...] Read more.
The reliable detection of the peanut allergen Ara h2 in processed foods remains a major challenge, since thermal and high-pressure treatments can alter protein structure and limit the performance of immunoassays. DNA-based methods provide a robust alternative to this approach. In this work, a highly sensitive label-free electrochemical genoassay for Ara h2 DNA detection was developed using streptavidin-coated magnetic beads (MBs). A biotinylated capture probe (CP) immobilized on the MBs’ surface enabled specific target recognition through a sandwich hybridization strategy with a secondary probe, allowing for direct electrochemical detection without enzymatic labels. Two transduction strategies were evaluated: (i) electrochemical impedance spectroscopy (EIS) with ferri/ferrocyanide as a redox probe, and (ii) differential pulse voltammetry (DPV) using methylene blue. The ferri/ferrocyanide-based EIS approach showed the best sensitivity and discrimination between hybridized and non-hybridized states. A linear dependence was observed with the concentration of the synthetic Ara h2 target over the 0.05 to 20 nM range, with a detection limit of 0.025 nM. CP-MBs showed good stability for at least 20 days. Applicability was demonstrated in soy beverages, rice beverages, and low-fat cow’s milk, with recoveries close to 100% and negligible matrix effects. Full article
(This article belongs to the Special Issue Nanobiosensors Based on Electrochemical Principles)
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16 pages, 2008 KB  
Article
AI-Assisted Electrochemical Immunosensing for Matrix-Aware Detection of Aflatoxin M1 and Atrazine in Food Matrices
by Kundan Kumar Mishra, Shanmathi Venkatesan, Sriram Muthukumar and Shalini Prasad
Biosensors 2026, 16(7), 352; https://doi.org/10.3390/bios16070352 - 23 Jun 2026
Viewed by 683
Abstract
Food contamination by Aflatoxin M1 and Atrazine remains a critical food-safety concern, requiring sensitive detection methods that can operate reliably in complex matrices. Here, we report an AI-assisted antibody-functionalized electrochemical sensing platform for the detection and classification of Aflatoxin M1 and Atrazine across [...] Read more.
Food contamination by Aflatoxin M1 and Atrazine remains a critical food-safety concern, requiring sensitive detection methods that can operate reliably in complex matrices. Here, we report an AI-assisted antibody-functionalized electrochemical sensing platform for the detection and classification of Aflatoxin M1 and Atrazine across corn, corn flour, and protein matrices. The sensor used analyte-specific antibodies immobilized on an electrochemical electrode surface, where target binding produced measurable changes in the interfacial electrochemical response. Sensor performance was evaluated using cyclic voltammetry, coulometry, and electrochemical impedance spectroscopy (EIS), with EIS providing strong frequency-dependent signatures for concentration-dependent analysis. Spike-and-recovery studies further demonstrated the applicability of the platform in food-matrix conditions. To improve interpretation of complex electrochemical signals, full-spectrum EIS features were integrated with machine learning models for concentration-level classification into low, mid, and high groups. The AI workflow achieved an overall classification accuracy of 93.33%, with 96.67% specificity, 93.44% PPV, 96.66% NPV, and 0.982 AUC for Atrazine, and 96.70% specificity, 93.38% PPV, 96.67% NPV, and 0.987 AUC for Aflatoxin M1. In addition, analyte classification between Aflatoxin M1 and Atrazine reached 97.4% accuracy and 0.994 ROC-AUC. Overall, this work demonstrates a matrix-aware electrochemical immunosensing strategy enhanced by AI-based signal interpretation for food contaminant detection. Full article
(This article belongs to the Special Issue Nanobiosensors Based on Electrochemical Principles)
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31 pages, 2459 KB  
Article
Smart Bandage Based on Batteryless NFC for Wireless Pressure and Wound State Monitoring
by Marco Cujilema, Ramon Villarino, David Girbau and Antonio Lazaro
Biosensors 2026, 16(5), 300; https://doi.org/10.3390/bios16050300 - 21 May 2026
Cited by 1 | Viewed by 1536
Abstract
Although compression therapy is widely used to improve wound healing, selecting the appropriate pressure remains a challenge in clinical practice. This work proposes an intelligent patch integrated into a bandage that allows for the simultaneous monitoring of the applied pressure and wound condition [...] Read more.
Although compression therapy is widely used to improve wound healing, selecting the appropriate pressure remains a challenge in clinical practice. This work proposes an intelligent patch integrated into a bandage that allows for the simultaneous monitoring of the applied pressure and wound condition using Near-Field Communication (NFC). The proposed patch integrates a force-sensitive resistive sensor to measure pressure and a capacitive sensor to detect wound exudate through capacitance variations. Capacitance is obtained by analyzing the delay in the stepwise response of the sensor, while resistance is measured from the voltage drop across a resistive divider, which is read by a microcontroller’s analog-to-digital converter. The system is powered wirelessly through NFC energy harvesting, triggered by a mobile device that acts as a reader. The NFC module can be moved away after measurement to improve patient comfort or remain integrated into the dressing for periodic monitoring. Experimental results demonstrate pressure measurements up to 140 mmHg and exudate detection up to 200 μL, confirming the feasibility of battery-free NFC smart bandages for therapeutic monitoring based on wound compression. Full article
(This article belongs to the Special Issue Nanobiosensors Based on Electrochemical Principles)
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