Emerging Applications of Label-Free Optical Biosensors
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Optical and Photonic Biosensors".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 20989
Special Issue Editors
Interests: biomedical optical spectrosocopy; optical biosensors; raman imaging; computational optical sensing and imaging
Interests: biophotonics; raman scattering; optical biosensors
Interests: optical spectroscopy; optical biosensors; optical microscopy; cancer metabolism
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Label-free optical biosensors are a powerful tool for detecting and quantifying specific biomolecular compounds, without additional labeling or altering target biomolecules. Its distinctive advantages in terms of simplicity and rapidity of the measurement procedure have promoted its vast applications, covering biology, health care, pharmacy, food safety, agriculture and environmental monitoring. In the recent decades, there has been a large effort aiming at the development of reliable label-free optical biosensors with good performances (e.g. high precision, good stability, cost-effectiveness, high sensitivity and specificity), and great progress has been made in this research field to fulfill the growing demand on label-free optical biosensors.
This Special Issue aims to highlight the emerging applications of label-free optical biosensors, covering biological, clinical, environmental, agricultural, industrial and other related applications. All submissions with the topics related to recent and crucial insights into improvements of label-free optical biosensors, including but not limited to sensing theory, sensing materials, optical sensing system, optical signal processing and their applications, are encouraged and welcomed.
Dr. Shuo Chen
Prof. Dr. Shangyuan Feng
Dr. Caigang Zhu
Dr. Rongkang Gao
Guest Editors
Manuscript Submission Information
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Keywords
- optical biosensors
- label-free
- surface plasmon resonance
- optofluidics
- spectroscopy
- optical fiber
- point-of-care devices
- machine learning
- diagnosis and prognosis
- quality assessment and monitoring
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