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Molecules
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Recent Advances in Raman Spectroscopy Analysis: Pharmaceutical and Biomedical Applications
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Recent Advances in Raman Spectroscopy Analysis: Pharmaceutical and Biomedical Applications

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2064

Special Issue Editor

Dr. Malvina Orkoula

E-Mail Website
Guest Editor
Department of Pharmacy, University of Patras, GR26504 Patras, Greece
Interests: Raman microscopy and imaging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Raman spectroscopy (RS), from its discovery nearly a century ago till today, has evolved to be a useful analytical tool for a variety of scientific disciplines.  The versatility of the technique allows applications on samples of different physical forms (solids, semi-solids, suspensions, solutions, transparent or not) of different origin (synthetic, natural, biological) with no or minimal pretreatment and in a non-destructive manner. The fields of application range from the research labs, to the production lines (at- or in-line analysis) or to the study of human and animal tissues for clinical analysis.

This Special Issue is devoted to the advances of Raman spectroscopy in the areas of pharmaceutical and biomedical sciences.

Pharmacy related manuscripts dealing with Raman analysis in drug development and manufacturing are welcomed. Relevant topics may include but not limited to: raw material identification, solid form screening, formulation analysis in late phase drug development, preformulation, quality control of finished products, counterfeit identification, reverse engineering, polymorphism, interaction between APIs and excipients, and API stability.

Diseases lead to changes in the molecular composition and structure of affected tissues. Pathological processes and their progression can be monitored with Raman spectroscopy and the underlined mechanisms can be studied and eventually elucidated. Manuscripts that reveal and promote ex vivo or in vivo tissue Raman analysis and disease (e.g., bone and cartilage diseases, cancer) monitoring are invited.

Dr. Malvina Orkoula
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 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. Molecules 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 2700 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

  • Raman microscopy and imaging
  • polymorphic forms in pharmacy
  • pharmaceutical finished products
  • cosmetics
  • biosimilars
  • stability of APIs and excipients
  • interaction between APIs and excipients
  • counterfeit identification
  • reverse engineering in pharmacy
  • tissue analysis
  • bone analysis
  • cartilage analysis
  • at-line
  • in-line

Published Papers (2 papers)

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Research

12 pages, 1767 KiB  
Article
Computational Assessment of Spectral Heterogeneity within Fresh Glioblastoma Tissue Using Raman Spectroscopy and Machine Learning Algorithms
by Karoline Klein, Gilbert Georg Klamminger, Laurent Mombaerts, Finn Jelke, Isabel Fernandes Arroteia, Rédouane Slimani, Giulia Mirizzi, Andreas Husch, Katrin B. M. Frauenknecht, Michel Mittelbronn, Frank Hertel and Felix B. Kleine Borgmann
Molecules 2024, 29(5), 979; https://doi.org/10.3390/molecules29050979 - 23 Feb 2024
Cited by 1 | Viewed by 658
Abstract
Understanding and classifying inherent tumor heterogeneity is a multimodal approach, which can be undertaken at the genetic, biochemical, or morphological level, among others. Optical spectral methods such as Raman spectroscopy aim at rapid and non-destructive tissue analysis, where each spectrum generated reflects the [...] Read more.
Understanding and classifying inherent tumor heterogeneity is a multimodal approach, which can be undertaken at the genetic, biochemical, or morphological level, among others. Optical spectral methods such as Raman spectroscopy aim at rapid and non-destructive tissue analysis, where each spectrum generated reflects the individual molecular composition of an examined spot within a (heterogenous) tissue sample. Using a combination of supervised and unsupervised machine learning methods as well as a solid database of Raman spectra of native glioblastoma samples, we succeed not only in distinguishing explicit tumor areas—vital tumor tissue and necrotic tumor tissue can correctly be predicted with an accuracy of 76%—but also in determining and classifying different spectral entities within the histomorphologically distinct class of vital tumor tissue. Measurements of non-pathological, autoptic brain tissue hereby serve as a healthy control since their respective spectroscopic properties form an individual and reproducible cluster within the spectral heterogeneity of a vital tumor sample. The demonstrated decipherment of a spectral glioblastoma heterogeneity will be valuable, especially in the field of spectroscopically guided surgery to delineate tumor margins and to assist resection control. Full article
(This article belongs to the Special Issue Recent Advances in Raman Spectroscopy Analysis: Pharmaceutical and Biomedical Applications)
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15 pages, 3196 KiB  
Article
Combining Raman Microspectroscopy and X-ray Microcomputed Tomography for the Study of Bone Quality in Apolipoprotein-Deficient Animal Models
by Stefani Fertaki, Panagiota Giannoutsou and Malvina G. Orkoula
Molecules 2023, 28(20), 7196; https://doi.org/10.3390/molecules28207196 - 20 Oct 2023
Viewed by 718
Abstract
Raman microspectroscopy and X-ray microcomputed tomography (micro-CT) were used for assessment of the quality of the femur and tibia bones in apolipoprotein-deficient mice compared to control littermates. The cortical and trabecular bone was investigated separately. Raman spectra revealed no differences in the bioapatite-to-collagenous [...] Read more.
Raman microspectroscopy and X-ray microcomputed tomography (micro-CT) were used for assessment of the quality of the femur and tibia bones in apolipoprotein-deficient mice compared to control littermates. The cortical and trabecular bone was investigated separately. Raman spectra revealed no differences in the bioapatite-to-collagenous matrix ratio of the cortical bone. The quantities of calcium and collagen, which were measured using atomic absorption spectrometry and thermogravimetric analysis, respectively, were also found to be equal in the two groups. Density and morphometric parameters, which were measured using micro-CT, verified the cortical mineral stability. Bone quality indices were measured using Raman spectra. A decreased collagen crosslink (trivalent-to-divalent) ratio revealed delayed maturation of the collagen network. Such a decrease has been reported in the literature to be connected to decreased bone strength. For the trabecular bone, micro-CT revealed severe osteoporosis in the knock-out group, which was evident from a decreased mineral density, trabecular thickness and increased bone surface/volume ratio. The trabecular bone was not accessible for Raman spectroscopy. According to these results, the cortical and trabecular femur bone is expected to exhibit proneness to fracturing, each for a different reason. A combination of the two techniques was regarded as necessary for an overall assessment of bone quality. Full article
(This article belongs to the Special Issue Recent Advances in Raman Spectroscopy Analysis: Pharmaceutical and Biomedical Applications)
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