Special Issue "Advances in Optical Biosensors"
Deadline for manuscript submissions: 15 November 2014
Prof. Dr. M. Selim Ünlü
Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
Phone: +1 617 353 5067
Fax: +1 617 353 5929
Interests: bionanotechnology; molecular diagnostics; optical biosensors; label-free detection; immunosensors; protein and DNA microarrays; single particle detection; virus detection; biochips; biomolecular recognition; immobilization techniques; fluorescence
Dr. Ayca Yalcin Ozkumur
Electrical and Electronics Engineering Department, Bahcesehir University, Istanbul 34353, Turkey
Phone: +90 212 381 0878
Fax: +90 212 381 0020
Interests: molecular diagnostics; label-free optical detection; real-time measurements; protein and DNA microarrays; single particle sensing; immobilization techniques; fluorescence; high-throughput single-cell analysis; immunoassays
The field of optical biosensors continues to grow rapidly with advancements in engineering, material science, computer science, chemistry, physics, biology, and medicine. The applications are broad and diverse; uses range from ones concerning fundamental biological research to diagnostics in resource-limited settings, from environmental monitoring to uses in defense and security, and from agricultural uses to applications in personalized medicine.
This Special Issue aims to bring together recent advancements concerning the research and development of optical biosensors in a wide variety of disciplines. We aim to publish a special issue that will be of interest to a broad group of readers from academia, industry, and government.
We seek papers that address a wide range of novel, optical biosensing techniques, as well as the emerging applications of such techniques. Potential topics include, but are not limited to, novel materials and techniques for optical biosensing, point-of-care and lab-on-a-chip devices, surface functionalization methodologies, single-molecule detection, intracellular sensing, and applications in genomics, proteomics, medical diagnostics, drug delivery, health care, food analysis, environmental monitoring, defense, and security. We invite authors to submit original research papers relating to optical biosensors.
Prof. Dr. M. Selim Ünlü
Dr. Ayca Yalcin Ozkumur
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed Open Access monthly journal published by MDPI.
- optical biosensors
- resonant sensors
- waveguide sensors
- DNA chips, nucleic acid sensors
- protein chips
- real-time monitoring
- multiplexed detection
Article: Modeling and Analysis of a Microresonating Biosensor for Detection of Salmonella Bacteria in Human Blood
Sensors 2014, 14(7), 12885-12899; doi:10.3390/s140712885
Received: 8 May 2014; in revised form: 10 June 2014 / Accepted: 19 June 2014 / Published: 18 July 2014| PDF Full-text (1893 KB)
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Label-Free, Single Molecule Resonant Cavity Detection: A Double-Blind Experimental Study
Authors: Maria K. Chistiakova, Ce Shi, and Andrea M. Armani
Affiliation: University of Southern California; E-Mail: firstname.lastname@example.org
Abstract: Optical resonant cavity sensors are gaining increasing interest as a potential diagnostic method for a range of applications including medical prognostics and environmental monitoring. However, the majority of detection demonstrations to date have involved identifying a “known” analyte, and the more rigorous double-blind experiment, in which the experimenter must identify unknown solutions, has yet to be performed. This scenario is more representative of a real-world situation. Therefore, before these devices can truly transition, it is necessary to demonstrate this level of robustness. By combining a recently developed surface chemistry with integrated silica optical sensors, we have performed a double blind experiment to identify four unknown solutions. The four unknown solutions represented a subset or complete set of four known solutions; as such, there were 256 possible combinations. Based on the single molecule detection signal, we correctly identified all solutions. In addition, as part of this work, we developed noise reduction algorithms.
Last update: 27 August 2014