Applications of Nano-Biosensors in Clinical, Food and Environmental Analyses
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Nano- and Micro-Technologies in Biosensors".
Deadline for manuscript submissions: 30 April 2027 | Viewed by 32
Editors
Interests: nanotechnology; biomedical engineering; nano biosensing platforms; nano-bio interfaces; functional biomaterials and their applications in clinical diagnostics
Special Issues, Collections and Topics in MDPI journals
Interests: identification and detection of fungi; plant pathogenic fungi intra- and inter-species variation; genetic variation; molecular tools; rapid detection of pathogens; biosensors
Interests: rapid, highly sensitive fluorescence- and nanoparticle optical biosensing platforms; early detection of pathogenic fungi, viruses, and bacteria; point-of-care testing; nanomaterials; assay design
Special Issue Information
Dear Colleagues,
Nano-biosensors have advanced rapidly in recent years, yet a significant gap persists between laboratory-level proof-of-concept and reliable deployment in real-world clinical, food, and environmental settings. This Special Issue aims to bridge this divide by gathering interdisciplinary studies that emphasize method validation, on-site implementation, and regulatory compliance. We seek original research, reviews, and short communications addressing, but not limited to, the following topics:
- Multiplexed point-of-care and on-site detection for clinical biomarkers, foodborne hazards, and environmental contaminants
- Engineered biorecognition elements, including aptamers, nanobodies, molecularly imprinted polymers, and synthetic receptors
- Advanced transduction mechanisms such as photoelectrochemical, field-effect transistor, plasmonic, and thermal sensing
- Microfluidic integration, nanomaterial-based signal amplification, and CRISPR-enabled nucleic acid detection
- Smartphone-readout and portable/wearable systems empowered by artificial intelligence and machine learning for on-site signal processing, calibration, pattern recognition, and decision support
We especially encourage submissions that compare multiple sensing strategies or span clinical, food, and environmental application domains. Contributions must be original and not under concurrent review elsewhere. All manuscripts will undergo single-blind peer review. We look forward to your contributions to this timely collection.
Prof. Dr. Xinyi Wang
Prof. Dr. Weijun Duan
Dr. Rong Lei
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
- nano-biosensor
- nanomaterials
- point-of-care testing
- food safety
- environmental monitoring
- artificial intelligence
- microfluidics
- lab-on-chip
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