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Advances in Spectroscopy Research
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Advances in Spectroscopy Research

A special issue of Spectroscopy Journal (ISSN 2813-446X).

Deadline for manuscript submissions: closed (18 July 2025) | Viewed by 6564

Special Issue Editor

Prof. Dr. Clemens Burda

E-Mail Website
Guest Editor
Department of Chemistry, and Macromolecular Science & Engineering, College of Arts and Science, Case Western Reserve University, Millis Science Center, Office 223 10900 Euclid Ave., Cleveland, OH 44106, USA
Interests: ultrafast laser spectroscopy; photoscience; nanoscience; materials science; bio- and energy applications; photomedicine
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

By way of the interactions between electromagnetic radiation and matter, spectroscopy plays a vital role in advancing our understanding of physics, chemistry, biology, material science, and engineering. This Special Issue, "Advances in Spectroscopy Research", in the Spectroscopy Journal seeks to highlight recent developments, innovative methodologies, and interdisciplinary applications of spectroscopic techniques.

We invite original research papers, reviews, and short communications that cover experimental, theoretical, and applied aspects of spectroscopy. This Special Issue aims to showcase cutting-edge advancements in diverse subdisciplines of spectroscopy, including gamma-ray, X-ray, and UV–Vis spectroscopy; NIR/mid-infrared/Raman techniques; microwave and THz spectroscopy; and high-resolution gas-phase studies. Contributions from mass spectrometry, NMR, and EPR spectroscopy, as well as fluorescence, bioluminescence, and phosphorescence-based techniques, are also invited.

Additionally, we encourage submissions on emerging applications, including optical sensing in food safety, spectral imaging, time-resolved spectroscopies, non-linear spectroscopies, and novel approaches in micro- and nanospectrometry.

This Special Issue aims to drive innovation, foster cross-disciplinary collaborations, and broaden the scope of spectroscopic science. 

Prof. Dr. Clemens Burda
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Spectroscopy Journal 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

  • spectroscopic techniques
  • time-resolved spectroscopies
  • spectral imaging and sensing
  • micro- and nanospectrometry
  • non-linear spectroscopies

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

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11 pages, 1595 KB  
Communication
PyMossFit: A Google Colab Option for Mössbauer Spectra Fitting
by Fabio D. Saccone
Spectrosc. J. 2025, 3(4), 29; https://doi.org/10.3390/spectroscj3040029 - 4 Nov 2025
Cited by 1 | Viewed by 1198
Abstract
This article introduces the main characteristics of PyMossFit, a software for Mössbauer spectra fitting. It is explained how each aspect of the code works. Based on the Lmfit Python package, it is a robust data fitting tool. Designed to run through Jupyter Notebook [...] Read more.
This article introduces the main characteristics of PyMossFit, a software for Mössbauer spectra fitting. It is explained how each aspect of the code works. Based on the Lmfit Python package, it is a robust data fitting tool. Designed to run through Jupyter Notebook in the Google Colab cloud, it also allows one to work via multiple devices and operating systems. In addition, it allows the fitting procedure to be performed collaboratively among researchers. The software performs the folding of raw data with a discrete Fourier transform. Data smoothing is available with the use of a Savitzky–Golay algorithm. Moreover, a K-nearest neighbor algorithm enables users to determine the present phases by matching the correlations of hyperfine parameters from a local database. Full article
(This article belongs to the Special Issue Advances in Spectroscopy Research)
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20 pages, 2869 KB  
Article
A Green Workflow to Determine Flavonoids from Physalis angulata L.: Extraction Optimization by Response Surface Method and Spectrophotometric Method Validation
by Huynh Tran Mai Lan Anh, Le Phan Minh My Kim Ngan, Vo Thi Kim Khuyen, Le Nguyen Hong Anh, Huynh Hoang Gia Bao, Huynh Le Bao Ngoc and Đinh Thi Quynh Anh
Spectrosc. J. 2025, 3(4), 27; https://doi.org/10.3390/spectroscj3040027 - 3 Nov 2025
Cited by 1 | Viewed by 1485
Abstract
Wild Physalis angulata L. has promising medicinal potential due to its rich flavonoids. However, a green analytical approach for these compounds from this plant has not yet been thoroughly optimized. Therefore, this study optimized ultrasound-assisted extraction using the response surface method for the [...] Read more.
Wild Physalis angulata L. has promising medicinal potential due to its rich flavonoids. However, a green analytical approach for these compounds from this plant has not yet been thoroughly optimized. Therefore, this study optimized ultrasound-assisted extraction using the response surface method for the UV-VIS spectroscopic determination of the total flavonoid content in P. angulata in Vietnam. Notably, the greenness of the whole procedure was evaluated by AGREE, Eco-Scale, GAPI, BAGI methodologies. The Box–Behnken model was applied to design the experiments with four variables: ethanol concentration, solid-to-liquid ratio, extraction temperature, and time. The UV-Vis spectrophotometric method was validated at 510 nm according to AOAC guidelines and met all the requirements, including specificity, linearity (R2 = 0.9996) in the working range of 15–120 µg/mL, repeatability (RSD = 1.89%), intermediate precision (RSD = 2.21%), and accuracy (recoveries from 99.52 to 104.06%). The limits of detection (LOD) and quantification (LOQ) were 2.48 µg/mL and 7.52 µg/mL, respectively; however, to avoid noise signal at lower concentrations, the validated lower limit of quantification (LLOQ) was set at 15 µg/mL. Data were analyzed using second-order regression. The R2 = 0.9726 shows a close correlation between variables and the experimental data. The optimal extraction conditions were 31.66% ethanol, 30:1 mL/g ratio, 80 °C and 48.73 min. The predicted values (38.09 ± 1.70 mg RU/g) were not statistically different from the experimental values (34.58 ± 0.87 mg RU/g), confirming the model’s accuracy and applicability in optimizing the extraction process. The ultrasound-assisted extraction was optimized to enhance the flavonoid extraction yield from P. angulata, providing a solid scientific foundation for further pharmacological research. Full article
(This article belongs to the Special Issue Advances in Spectroscopy Research)
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Review

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64 pages, 10522 KB  
Review
Spectroscopic and Microscopic Characterization of Inorganic and Polymer Thermoelectric Materials: A Review
by Temesgen Atnafu Yemata, Tessera Alemneh Wubieneh, Yun Zheng, Wee Shong Chin, Messele Kassaw Tadsual and Tadisso Gesessee Beyene
Spectrosc. J. 2025, 3(4), 24; https://doi.org/10.3390/spectroscj3040024 - 14 Oct 2025
Cited by 1 | Viewed by 2877
Abstract
Thermoelectric (TE) materials represent a critical frontier in sustainable energy conversion technologies, providing direct thermal-to-electrical energy conversion with solid-state reliability. The optimizations of TE performance demand a nuanced comprehension of structure–property relationships across diverse length scales. This review summarizes established and emerging spectroscopic [...] Read more.
Thermoelectric (TE) materials represent a critical frontier in sustainable energy conversion technologies, providing direct thermal-to-electrical energy conversion with solid-state reliability. The optimizations of TE performance demand a nuanced comprehension of structure–property relationships across diverse length scales. This review summarizes established and emerging spectroscopic and microscopic techniques used to characterize inorganic and polymer TE materials, specifically poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT:PSS). For inorganic TE, ultraviolet–visible (UV–Vis) spectroscopy, energy-dispersive X-ray (EDX) spectroscopy, and X-ray photoelectron spectroscopy (XPS) are widely applied for electronic structure characterization. For phase analysis of inorganic TE materials, Raman spectroscopy (RS), electron energy loss spectroscopy (EELS), and nuclear magnetic resonance (NMR) spectroscopy are utilized. For analyzing the surface morphology and crystalline structure, chemical scanning electron microscopy (SEM), transmission electron microscopy (TEM), and X-ray diffraction (XRD) are commonly used. For polymer TE materials, ultraviolet−visible–near-infrared (UV−Vis−NIR) spectroscopy and ultraviolet photoelectron spectroscopy (UPS) are generally employed for determining electronic structure. For functional group analysis of polymer TE, attenuated total reflectance–Fourier-transform infrared (ATR−FTIR) spectroscopy and RS are broadly utilized. XPS is used for elemental composition analysis of polymer TE. For the surface morphology of polymer TE, atomic force microscopic (AFM) and SEM are applied. Grazing incidence wide-angle X-ray scattering (GIWAXS) and XRD are employed for analyzing the crystalline structures of polymer TE materials. These techniques elucidate electronic, structural, morphological, and chemical properties, aiding in optimizing TE properties like conductivity, thermal stability, and mechanical strength. This review also suggests future research directions, including in situ methods and machine learning-assisted multi-dimensional spectroscopy to enhance TE performance for applications in electronic devices, energy storage, and solar cells. Full article
(This article belongs to the Special Issue Advances in Spectroscopy Research)
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