Advances in Label-Free Electrochemical Biosensing: From Surface Engineering to Health Monitoring Devices
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".
Deadline for manuscript submissions: 1 November 2026 | Viewed by 373
Editors
Interests: electrochemical sensors; biosensors; point-of-care diagnostic devices; surface chemistry; nanotechnology
Special Issues, Collections and Topics in MDPI journals
Interests: carbon based electronics; bioelectronics; laser material processing; wearable flexible sensors; medical device design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of electrochemical biosensing technologies has created new opportunities for translating fundamental discoveries into practical, real-world solutions. Label-free electrochemical strategies play a pivotal role in this progress, as they simplify sensor fabrication, reduce costs, and enable streamlined, real-time measurements. In particular, advances in surface engineering have transformed the performance and reliability of biosensors, while the development of wearable and health monitoring devices highlights their growing societal impact.
This Special Issue aims to bridge fundamental innovations in surface chemistry and interface design with applied technologies for health and beyond. We welcome contributions that expand the scientific frontiers of label-free electrochemical biosensing and demonstrate their potential for scalable, cost-effective, and sustainable deployment.
We invite original research articles and reviews on, but not limited to, the following topics:
- Advanced surface engineering and biointerface strategies for enhanced sensor performance;
- Nanomaterial-enabled label-free sensor architectures;
- Sustainable and eco-friendly fabrication methods;
- Multiplexed and high-throughput biosensing platforms;
- Wearable, implantable, and flexible label-free electrochemical devices;
- Real-time health monitoring (in vitro, in vivo, and point-of-care);
- Microfluidic integration with label-free platforms;
- Machine learning and AI for data processing and optimization;
- Wireless, IoT-enabled, and next-generation connected biosensors.
Dr. Soha Ahmadi
Prof. Dr. George Karl Knopf
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 biosensors
- label-free electrochemical biosensors
- surface engineering
- biointerfaces
- biorecognition
- nanomaterials
- real-time monitoring
- multiplexed biosensing
- point-of-care devices
- wearable and flexible biosensors
- health monitoring devices
- microfluidic integration
- sustainable and eco-friendly materials
- machine learning and artificial intelligence
- wireless and IoT-enabled sensors
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