Special Issue "Advances in Optical Biosensors"

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A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (15 November 2014)

Special Issue Editors

Guest Editor
Prof. Dr. M. Selim Ünlü
Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
Website: http://www.bu.edu/OCN
E-Mail: selim@bu.edu
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

Guest Editor
Dr. Ayca Yalcin Ozkumur
Electrical and Electronics Engineering Department, Bahcesehir University, Istanbul 34353, Turkey
E-Mail: ayca.yalcin@bahcesehir.edu.tr
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

Special Issue Information

Dear Colleagues,

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
Guest Editor

Submission

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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs).


Keywords

  • optical biosensors
  • immunosensors
  • lab-on-a-chip
  • point-of-care
  • nanobiosensors
  • resonant sensors
  • waveguide sensors
  • DNA chips, nucleic acid sensors
  • protein chips
  • microarray
  • fluorescence
  • label-free
  • real-time monitoring
  • high-throughput
  • multiplexed detection

Published Papers (3 papers)

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Displaying article 1-3
p. 21140-21150
by , , ,  and
Sensors 2014, 14(11), 21140-21150; doi:10.3390/s141121140
Received: 17 September 2014; in revised form: 18 October 2014 / Accepted: 29 October 2014 / Published: 10 November 2014
Show/Hide Abstract | PDF Full-text (341 KB) | Supplementary Files
(This article belongs to the Special Issue Advances in Optical Biosensors)
p. 17725-17752
by , , , , , , , , , , , ,  and
Sensors 2014, 14(9), 17725-17752; doi:10.3390/s140917725
Received: 28 April 2014; in revised form: 5 September 2014 / Accepted: 11 September 2014 / Published: 23 September 2014
Show/Hide Abstract | PDF Full-text (1720 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Advances in Optical Biosensors)
p. 12885-12899
by , , , , , ,  and
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
Show/Hide Abstract | Cited by 1 | PDF Full-text (1893 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Advances in Optical Biosensors)
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Planned Papers

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.

Type of Paper: Article
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: armani@usc.edu
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

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