Advances in Nanomaterials for Biosensing Application
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Nanotechnology Applications in Bioengineering".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 398
Special Issue Editors
Interests: material chemistry; nanomaterials; sensors; biosensors; surface chemistry; material characterization
Special Issues, Collections and Topics in MDPI journals
Interests: electrochemistry; (bio)sensors; surface analysis; thin (bio)films; nano materials; CMEs
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
At the global level, great advances have been achieved towards new approaches in biosensing and bioelectronic devices suitable for application in human health monitoring. Currently, the healthcare sector makes diagnoses based on biosensors, which are devices that measure biological signals and convert them into electrical signals. As in many different technological fields, nanomaterials have demonstrated their appropriateness for biosensing applications. The smart use of such nano-objects has led to clearly enhanced performances with increased sensitivities and lowered detection limits of several orders of magnitude. Specifically, nanomaterials used as transduction elements in biosensing devices include nanoparticles with high stability and high carrier capacity, nanowires and nanorods that are capable of high detection sensitivity, carbon nanotubes with a large surface area and high electrical and thermal conductivity, and quantum dots with color tunability.
This Special Issue will focus on the evolution of biosensors, on the types of biosensors based on their receptors, transducers, and modern approaches employed in biosensors using nanomaterials, and the recent advances in biosensing technology with the expansion of nanotechnology.
Dr. Elena Dilonardo
Dr. Maria Rachele Guascito
Guest Editors
Manuscript Submission Information
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Keywords
- biosensors
- nanomaterials
- nanobiosensing
- biomolecules
- interface
- detection strategies
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