Journal Browser

► Journal Browser

Special Issue "Optical Spectroscopy for Sensing, Monitoring and Analysis"

Share This Special Issue

Special Issue Editors

E-Mail Website
Guest Editor

Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
Interests: laser-induced breakdown spectroscopy; rare earth element detection; plant phenotyping

Dr. Hunter B Andrews

E-Mail Website
Guest Editor

Radioisotope Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
Interests: real-time monitoring; laser-induced breakdown spectroscopy; machine learning

Dr. Supathorn Phongikaroon
E-Mail Website
Guest Editor

College of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
Interests: nuclear and chemical separation technology in fuel cycle research and development; electrochemical processes; special material detection and analysis via laser and mass spectroscopy techniques

Special Issue Information

Dear Colleagues,

There is a growing need for sensors that are capable of monitoring a plethora of analytes in complex and hazardous environments in real time. Optical spectroscopy is an ideal candidate for these sensor applications due to the intrinsic ability to send light to and from a measurement point using optics or fibers, thereby protecting expensive equipment from exposure. These applications of optical spectroscopy have seen rapid growth in their capabilities due to advances in equipment, modeling techniques, and sensor fusion. Outside of in situ analysis, similar advances have been made to enable the use of optical spectroscopy for further sample characterization.

This Special Issue therefore aims to put together original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of optical spectroscopy for sensing, monitoring, and analysis.

Dr. Madhavi Martin
Dr. Hunter B Andrews
Dr. Supathorn Phongikaroon
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 spectroscopy
laser spectroscopy
laser-induced breakdown spectroscopy
Raman spectroscopy
spectrophotometry
fluorescence spectroscopy
online monitoring
sensor fusion
chemometrics
machine learning

Published Papers (1 paper)

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

Open AccessArticle

Explorative Data Analysis Methods: Application to Laser-Induced Breakdown Spectroscopy Field Data Measured on the Island of Vulcano, Italy

and

Sensors 2023, 23(13), 6208; https://doi.org/10.3390/s23136208 - 07 Jul 2023

Viewed by 482

Abstract

One of the strengths of laser-induced breakdown spectroscopy (LIBS) is that a large amount of data can be measured relatively easily in a short time, which makes LIBS interesting in many areas, from geomaterial analysis with portable handheld instruments to applications for the exploration of planetary surfaces. Statistical methods, therefore, play an important role in analyzing the data to detect not only individual compositions but also trends and correlations. In this study, we apply two approaches to explore the LIBS data of geomaterials measured with a handheld device at different locations on the Aeolian island of Vulcano, Italy. First, we use the established method, principal component analysis (PCA), and second we adopt the principle of the interesting features finder (IFF), which was recently proposed for the analysis of LIBS imaging data. With this method it is possible to identify spectra that contain emission lines of minor and trace elements that often remain undetected with variance-based methods, such as PCA. We could not detect any spectra with IFF that were not detected with PCA when applying both methods to our LIBS field data. The reason for this may be the nature of our field data, which are subject to more experimental changes than data measured in laboratory settings, such as LIBS imaging data, for which the IFF was introduced first. In conclusion, however, we found that the two approaches complement each other well, making the exploration of the data more intuitive, straightforward, and efficient. Full article

(This article belongs to the Special Issue Optical Spectroscopy for Sensing, Monitoring and Analysis)

► Show Figures

Journal Menu

Journal Browser

Special Issue "Optical Spectroscopy for Sensing, Monitoring and Analysis"

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Published Papers (1 paper)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI