Special Issue "Recent Advances in Optical Biosensors"
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 22701
Interests: optical biosensors; microfluidics; nanostructuring; SERS
Interests: plasmonic nano-optics devices; optical fiber biosensor; optical super-resolution imaging; single molecule detection and molecular detection
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Special Issue in Sensors: Trends in Optical Biosensors
Biosensors are analytical devices employed to detect, identify and quantify numerous biological, chemical and other target analytes with the assistance of a biological recognition element. Advancement in the field of biosensing technology is vital as these biological tools have potential applications in diverse fields such as healthcare and medicine, food industry, chemical industry, agriculture, environmental monitoring etc. The distinct advantages offered by optical biosensors, such as rapidity of detection, real-time operation, efficacy, label-free detection, and robustness, make them a promising biosensing method in comparison to many other conventional biosensing techniques. An optical biosensor integrates a biorecognition element with an optical transducer, and it analyses the change in properties of light that results from the interaction of the biorecognition element with the analyte. Based on different principles of operation, there are several types of optical biosensors (surface-plasmon-resonance-based, Raman, FTIR, optical waveguide, optical resonator, interferometric, photonic crystals, optical-fibers-based, etc.). Developing efficient and high-precision biosensors with the required specificity and sensitivity is of paramount importance, and the growing demand for such effective biosensors in the day-to-day life makes research and advancement in biosensing technology crucial. Nevertheless, innovating reliable biosensors with high accuracy, stability, cost-effectiveness and reproducibility is challenging.
In this Special Issue of Biosensors, we invite you to contribute high-quality research on recent advances in optical biosensing technology for various applications, including healthcare and pharmaceuticals, environment, food quality and packaging industry, chemical industry, etc. We welcome a range of contributions, covering both experimental and theoretical works on the latest developments in the field of optical biosensors. Original research articles, research notes, and comprehensive reviews on topics related to biosensing technology can be submitted to this Special Issue.
Dr. Pinkie Jacob Eravuchira
Dr. Wenchao Zhou
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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind 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 2700 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.
- optical biosensors
- rapid detection
- machine learning
- environmental monitoring
- optical fiber