Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.9
Journals
Sensors
Special Issues
Emerging Trends in Optical-Based Chemical/Bio Sensors
sensors-logo
Submit to Sensors Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Emerging Trends in Optical-Based Chemical/Bio Sensors

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 8210

Special Issue Editors

Dr. Paul R. Ohodnicki

E-Mail Website
Guest Editor
Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA
Interests: optical-based sensing; electronic, photonic and magnetic materials; fiber-optics; plasmonics
Special Issues, Collections and Topics in MDPI journals
Dr. Michael A. Carpenter

E-Mail Website
Guest Editor
College of Engineering, College of Nanoscale Science and Engineering, SUNY Polytechnic Institute, NY, USA
Interests: chemical sensors; multivariable sensors; plasmonics; Raman microanalysis

Special Issue Information

Dear Colleagues,

This Special Issue will highlight recent advances and emerging trends in optical chemical and biological sensors for a range of sensing applications. Key areas of interest include (1) harsh environment sensing—from combustion to biological; (2) unconventional materials including plasmonics; (3) applications of advanced multi-variate data analytical techniques; and (4) fiber optic-based sensing platforms, including integrated devices.

Dr. Paul R. Ohodnicki
Prof. Michael A. Carpenter
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 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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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

  • Optical chemical/bio sensors
  • Plasmonics
  • Multivariable
  • Selective, sensitive and reliable
  • Fiber optics
  • Integrated devices

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 4500 KiB  
Article
A Hyperspectral Imaging Approach for Classifying Geographical Origins of Rhizoma Atractylodis Macrocephalae Using the Fusion of Spectrum-Image in VNIR and SWIR Ranges (VNIR-SWIR-FuSI)
by Chenlei Ru, Zhenhao Li and Renzhong Tang
Sensors 2019, 19(9), 2045; https://doi.org/10.3390/s19092045 - 01 May 2019
Cited by 43 | Viewed by 4712
Abstract
Hyperspectral data processing technique has gained increasing interests in the field of chemical and biomedical analysis. However, appropriate approaches to fusing features of hyperspectral data-cube are still lacking. In this paper, a new data fusion approach was proposed and applied to discriminate Rhizoma [...] Read more.
Hyperspectral data processing technique has gained increasing interests in the field of chemical and biomedical analysis. However, appropriate approaches to fusing features of hyperspectral data-cube are still lacking. In this paper, a new data fusion approach was proposed and applied to discriminate Rhizoma Atractylodis Macrocephalae (RAM) slices from different geographical origins using hyperspectral imaging. Spectral and image features were extracted from hyperspectral data in visible and near-infrared (VNIR, 435–1042 nm) and short-wave infrared (SWIR, 898–1751 nm) ranges, respectively. Effective wavelengths were extracted from pre-processed spectral data by successive projection algorithm (SPA). Meanwhile, gray-level co-occurrence matrix (GLCM) and gray-level run-length matrix (GLRLM) were employed to extract textural variables. The fusion of spectrum-image in VNIR and SWIR ranges (VNIR-SWIR-FuSI) was implemented to integrate those features on three fusion dimensions, i.e., VNIR and SWIR fusion, spectrum and image fusion, and all data fusion. Based on data fusion, partial least squares-discriminant analysis (PLS-DA) and support vector machine (SVM) were utilized to establish calibration models. The results demonstrated that VNIR-SWIR-FuSI could achieve the best accuracies on both full bands (97.3%) and SPA bands (93.2%). In particular, VNIR-SWIR-FuSI on SPA bands achieved a classification accuracy of 93.2% with only 23 bands, which was significantly better than those based on spectra (80.9%) or images (79.7%). Thus it is more rapid and possible for industry applications. The current study demonstrated that hyperspectral imaging technique with data fusion holds the potential for rapid and nondestructive sorting of traditional Chinese medicines (TCMs). Full article
(This article belongs to the Special Issue Emerging Trends in Optical-Based Chemical/Bio Sensors)
►▼ Show Figures

Figure 1

7 pages, 1698 KiB  
Article
Gold Nanodisks Plasmonic Array for Hydrogen Sensing at Low Temperature
by Marco Sturaro, Gabriele Zacco, Pierfrancesco Zilio, Alessandro Surpi, Marco Bazzan and Alessandro Martucci
Sensors 2019, 19(3), 647; https://doi.org/10.3390/s19030647 - 05 Feb 2019
Cited by 11 | Viewed by 3162
Abstract
We present a novel plasmonic hydrogen sensor consisting of an array of gold nanodisks produced by lithography. The size, height, and spacing of the disks were optimized using finite element simulation to generate a sharp localized surface plasmon resonance peak in the near-infrared [...] Read more.
We present a novel plasmonic hydrogen sensor consisting of an array of gold nanodisks produced by lithography. The size, height, and spacing of the disks were optimized using finite element simulation to generate a sharp localized surface plasmon resonance peak in the near-infrared wavelength region. The reported results show the possibility of developing an optical gas sensors-based bare Au nanostructures operating at a low temperature. Full article
(This article belongs to the Special Issue Emerging Trends in Optical-Based Chemical/Bio Sensors)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop