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Infrared Spectroscopy: Principles and Instrumentation
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Infrared Spectroscopy: Principles and Instrumentation

A special issue of Foundations (ISSN 2673-9321). This special issue belongs to the section "Physical Sciences".

Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 8674

Special Issue Editors

Dr. Cristina Achim

E-Mail Website
Guest Editor
National Institute for Laser, Plasma and Radiation Physics, Laser Department, Magurele, Romania
Interests: laser physics and applications; photoacoustic spectroscopy sensing; optical spectroscopy; laser photoacoustic spectroscopy device development; oxidative stress and biomarkers; analysis of gases
Special Issues, Collections and Topics in MDPI journals
Dr. Ana Bratu

E-Mail Website
Guest Editor
National Institute for Laser, Plasma and Radiation Physics, Laser Department, Magurele, Romania
Interests: biophotonics; technology of lasers; photoacoustic spectroscopy; laser–matter interactions; medical applications of lasers; applications of CO2 lasers in life sciences and environment
Special Issues, Collections and Topics in MDPI journals
Dr. Mioara Petrus

E-Mail Website
Guest Editor
National Institute for Laser, Plasma and Radiation Physics, Laser Department, Magurele, Romania
Interests: photoacoustic spectroscopy sensing; laser photoacoustic spectroscopy device development gases analysis; biomarkers; oxidative stress; laser–soft tissue interaction; numerical simulation of temperature distribution in tissue
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue provides an introduction to those requiring the use of infrared spectroscopy for the first time, defining the basic aspects of the technique, including instrumental and sampling techniques. Researchers are welcome to contribute to all areas of infrared spectroscopy, including, but not limited to:

  • IR spectroscopy;
  • Laser spectroscopy;
  • Spectroscopy of gases;
  • Optical and laser photoacoustic spectroscopic instruments and measurements. 

Dr. Cristina Achim
Dr. Ana Bratu
Dr. Mioara Bercu
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. Foundations is an international peer-reviewed open access quarterly 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 1000 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

  • IR spectroscopy principles
  • spectroscopy
  • IR spectroscopy instruments
  • laser modulation
  • absorption spectra

Published Papers (3 papers)

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Research

18 pages, 5405 KiB  
Article
Comparative Performance of NIR-Hyperspectral Imaging Systems
by Te Ma, Laurence Schimleck, Joseph Dahlen, Seung-Chul Yoon, Tetsuya Inagaki, Satoru Tsuchikawa, Anna Sandak and Jakub Sandak
Foundations 2022, 2(3), 523-540; https://0-doi-org.brum.beds.ac.uk/10.3390/foundations2030035 - 22 Jun 2022
Cited by 3 | Viewed by 2774
Abstract
Near-infrared spectroscopy (NIRS) allows for the rapid estimation of a wide range of wood properties. Typically, NIRS studies on wood have utilized benchtop spectrometers, but efforts to utilize NIR hyperspectral imaging to examine wood and wood products have increased. Compared to benchtop NIR [...] Read more.
Near-infrared spectroscopy (NIRS) allows for the rapid estimation of a wide range of wood properties. Typically, NIRS studies on wood have utilized benchtop spectrometers, but efforts to utilize NIR hyperspectral imaging to examine wood and wood products have increased. Compared to benchtop NIR systems, hyperspectral imaging has several advantages (speed, visualization of spatial variability), but the data typically have a lower signal-to-noise ratio as well as fewer wavelengths saved; thus, hyperspectral imaging systems have a larger spectral sampling interval (SSI). Furthermore, the SSI and wavelength range varies considerably among different HSI cameras. NIR-HSI systems based on indium gallium arsenide (InGaAs) detectors have a wavelength range typically from 900 to 1700 nm, while short-wave infrared hyperspectral imaging (SWIR-HSI) systems based on mercury cadmium telluride (MCT) detectors have the ‘full’ NIR wavelength range from 1000 to 2500 nm. These factors may influence the performance of wood property calibrations. We compared one NIR-HSI (900–1700 nm) and three SWIR-HSI (1000–2500 nm) commercially available cameras with an NIRS benchtop spectrometer (1100–2500 nm). The performance of specific gravity (SG) and stiffness (MOE) calibration models was compared with one-hundred Douglas-fir (Pseudotsuga menziesii) samples. The limited wavelength range of an NIR-HSI camera provided the best models for MOE, whereas the NIR-HSI and two SWIR-HSI cameras provided similar SG results. SWIR-HSI models heavily favored wavelengths greater than 1900 nm. Full article
(This article belongs to the Special Issue Infrared Spectroscopy: Principles and Instrumentation)
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9 pages, 1488 KiB  
Article
Binding and Recombination Energies of Quasi-One-Dimensional Excitonic Complexes in Ellipsoidal Quantum Dot
by David B. Hayrapetyan
Foundations 2022, 2(1), 219-227; https://0-doi-org.brum.beds.ac.uk/10.3390/foundations2010015 - 12 Feb 2022
Cited by 2 | Viewed by 2005
Abstract
In the framework of the effective mass approximation, negative and positive trions, exciton, and biexciton states are investigated in strongly prolate ellipsoidal quantum dots by the variational method. Since the ellipsoidal quantum dot has a prolate character, all excitonic complexes are considered quasi-one-dimensional. [...] Read more.
In the framework of the effective mass approximation, negative and positive trions, exciton, and biexciton states are investigated in strongly prolate ellipsoidal quantum dots by the variational method. Since the ellipsoidal quantum dot has a prolate character, all excitonic complexes are considered quasi-one-dimensional. As in such a system, the analytical solution does not exist for the many-particle problem, it is solved by the variational method. The trial variation functions based on the one-particle wave functions are used to construct the wavefunctions for the excitonic complexes. The energy spectrum, binding, and recombination energies dependent on the geometrical parameters of the ellipsoidal quantum dots are calculated for the excitons, negative and positive trions, and biexcitons. The radiative lifetime of exciton complexes in ellipsoid is estimated. Full article
(This article belongs to the Special Issue Infrared Spectroscopy: Principles and Instrumentation)
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14 pages, 1033 KiB  
Article
Deep Learning on Synthesized Sensor Characteristics and Transmission Spectra Enabling MEMS-Based Spectroscopic Gas Analysis beyond the Fourier Transform Limit
by Samar Elaraby, Sherif M. Abuelenin, Adel Moussa and Yasser M. Sabry
Foundations 2021, 1(2), 304-317; https://0-doi-org.brum.beds.ac.uk/10.3390/foundations1020022 - 15 Dec 2021
Cited by 4 | Viewed by 2257
Abstract
Miniaturized Fourier transform infrared spectrometers serve emerging market needs in many applications such as gas analysis. The miniaturization comes at the cost of lower performance than bench-top instrumentation, especially for the spectral resolution. However, higher spectral resolution is needed for better identification of [...] Read more.
Miniaturized Fourier transform infrared spectrometers serve emerging market needs in many applications such as gas analysis. The miniaturization comes at the cost of lower performance than bench-top instrumentation, especially for the spectral resolution. However, higher spectral resolution is needed for better identification of the composition of materials. This article presents a convolutional neural network (CNN) for 3X resolution enhancement of the measured infrared gas spectra using a Fourier transform infrared (FTIR) spectrometer beyond the transform limit. The proposed network extracts a set of high-dimensional features from the input spectra and constructs high-resolution outputs by nonlinear mapping. The network is trained using synthetic transmission spectra of complex gas mixtures and simulated sensor non-idealities such as baseline drifts and non-uniform signal-to-noise ratio. Ten gases that are relevant to the natural and bio gas industry are considered whose mixtures suffer from overlapped features in the mid-infrared spectral range of 2000–4000 cm−1. The network results are presented for both synthetic and experimentally measured spectra using both bench-top and miniaturized MEMS spectrometers, improving the resolution from 60 cm−1 to 20 cm−1 with a mean square error down to 2.4×10−3 in the transmission spectra. The technique supports selective spectral analysis based on miniaturized MEMS spectrometers. Full article
(This article belongs to the Special Issue Infrared Spectroscopy: Principles and Instrumentation)
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