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Applied Sciences
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Spectroscopy Applications: New Frontiers in Complex Materials, Life Science and...
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Spectroscopy Applications: New Frontiers in Complex Materials, Life Science and Technological Advances

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 2225

Special Issue Editors

Dr. Annalisa D’Arco

E-Mail Website
Guest Editor
INFN—National Institute of Nuclear Physics, National Laboratories of Frascati, Via E. Fermi 54 (ex 40), 00044 Frascati, RM, Italy
Interests: THz radiation source and detector; THz time–domain spectroscopy; THz frequency–domain spectroscopy; thz imaging; Fourier transform infrared (FTIR) spectroscopy; stimulated Raman scattering (SRS); SRS spectroscopy; SRS microscopy; optical microscopy; biomedical imaging; biophysics; radiation biophysics
Prof. Dr. Stefano Lupi

E-Mail Website
Guest Editor
Department of Physics, University of Rome ‘La Sapienza’, P.le A. Moro 2, 00185 Rome, Italy
Interests: THz radiation; pump–probe spectroscopy; plasmonic; metal–insulator transition; optical spectroscopy; nanomicroscopy; condensed matter; IR spectroscopy; topological materials
Special Issues, Collections and Topics in MDPI journals
Dr. Salvatore Macis

E-Mail Website
Guest Editor
Department of Physics, University of Rome ‘La Sapienza’, P.le A. Moro 2, 00185 Rome, Italy
Interests: THz spectroscopy; IR spectroscopy; Raman spectroscopy; transition metal oxides; THz metamaterials; plasmonic

Special Issue Information

Dear Colleagues,

Spectroscopy techniques, including vibrational spectroscopy, are powerful and formidable tools for characterizing the properties of new materials and for studying complex systems, such as those of biomedical processes.

Spectroscopy research has encouraged cross-disciplinary interactions between different research fields, leading to the development of several technological advances and prompting numerous applications and new analytical methods.

This Special Issue, “Spectroscopy Applications in new frontiers of research: Complex Materials, Life Sciences and other Advanced Technological fields”, aims to highlight the most recent spectroscopy applications and advancements in topical frontiers of research, such as, for example, complex and quantum materials, condensed matter, biophysics, biomedicine, cultural and natural heritage, technological advances and new analytical approaches based on machine learning.

Dr. Annalisa D’Arco
Prof. Dr. Stefano Lupi
Dr. Salvatore Macis
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. Applied Sciences 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 2400 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

  • spectroscopy
  • vibrational spectroscopy
  • SERS
  • THz spectroscopy
  • pump–probe spectroscopy
  • nonlinear spectroscopy
  • nanospectroscopy
  • THz/IR imaging
  • quantum materials
  • topological materials
  • biophysics
  • biomolecules
  • biomedical applications
  • biomaterials
  • cultural and natural heritage
  • artificial intelligence and machine learning

Published Papers (2 papers)

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Research

21 pages, 4330 KiB  
Article
Terahertz Time-Domain Spectroscopy of Blood Serum for Differentiation of Glioblastoma and Traumatic Brain Injury
by Denis A. Vrazhnov, Daria A. Ovchinnikova, Tatiana V. Kabanova, Andrey G. Paulish, Yury V. Kistenev, Nazar A. Nikolaev and Olga P. Cherkasova
Appl. Sci. 2024, 14(7), 2872; https://doi.org/10.3390/app14072872 - 28 Mar 2024
Viewed by 369
Abstract
The possibility of the differentiation of glioblastoma from traumatic brain injury through blood serum analysis by terahertz time-domain spectroscopy and machine learning was studied using a small animal model. Samples of a culture medium and a U87 human glioblastoma cell suspension in the [...] Read more.
The possibility of the differentiation of glioblastoma from traumatic brain injury through blood serum analysis by terahertz time-domain spectroscopy and machine learning was studied using a small animal model. Samples of a culture medium and a U87 human glioblastoma cell suspension in the culture medium were injected into the subcortical brain structures of groups of mice referred to as the culture medium injection groups and glioblastoma groups, accordingly. Blood serum samples were collected in the first, second, and third weeks after the injection, and their terahertz transmission spectra were measured. The injection caused acute inflammation in the brain during the first week, so the culture medium injection group in the first week of the experiment corresponded to a traumatic brain injury state. In the third week of the experiment, acute inflammation practically disappeared in the culture medium injection groups. At the same time, the glioblastoma group subjected to a U87 human glioblastoma cell injection had the largest tumor size. The THz spectra were analyzed using two dimensionality reduction algorithms (principal component analysis and t-distributed Stochastic Neighbor Embedding) and three classification algorithms (Support Vector Machine, Random Forest, and Extreme Gradient Boosting Machine). Constructed prediction data models were verified using 10-fold cross-validation, the receiver operational characteristic curve, and a corresponding area under the curve analysis. The proposed machine learning pipeline allowed for distinguishing the traumatic brain injury group from the glioblastoma group with 95% sensitivity, 100% specificity, and 97% accuracy with the Extreme Gradient Boosting Machine. The most informative features for these groups’ differentiation were 0.37, 0.40, 0.55, 0.60, 0.70, and 0.90 THz. Thus, an analysis of mouse blood serum using terahertz time-domain spectroscopy and machine learning makes it possible to differentiate glioblastoma from traumatic brain injury. Full article
(This article belongs to the Special Issue Spectroscopy Applications: New Frontiers in Complex Materials, Life Science and Technological Advances)
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9 pages, 6279 KiB  
Article
Terahertz Resonators Based on YBa2Cu3O7 High-Tc Superconductor
by Salvatore Macis, Maria Chiara Paolozzi, Annalisa D’Arco, Luca Tomarchio, Alessandra Di Gaspare and Stefano Lupi
Appl. Sci. 2022, 12(20), 10242; https://doi.org/10.3390/app122010242 - 12 Oct 2022
Cited by 6 | Viewed by 1315
Abstract
Superconducting split-ring resonator arrays allow to overcome two main limitations affecting metallic metamaterial resonating in the terahertz (THz) range: ohmic losses and tunability of their optical response. In this work, we design and experimentally realize direct and complementary square arrays of superconducting YBa [...] Read more.
Superconducting split-ring resonator arrays allow to overcome two main limitations affecting metallic metamaterial resonating in the terahertz (THz) range: ohmic losses and tunability of their optical response. In this work, we design and experimentally realize direct and complementary square arrays of superconducting YBa2Cu3O7 (YBCO) split-ring resonators working in the THz spectral range. The main purpose of this paper is to show how the metamaterial resonances can be tuned by temperature (T) when crossing the superconducting transition temperature Tc of YBCO. The tuning property can be quantified by describing the THz transmittance of the patterned YBCO films vs. T through a model of coupled resonators. This model allows us to estimate the THz resonances of split-ring arrays and their interaction, showing how the kinetic inductance Lk in the superconducting state is the main parameter affecting the metamaterial properties. Full article
(This article belongs to the Special Issue Spectroscopy Applications: New Frontiers in Complex Materials, Life Science and Technological Advances)
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