FarFaR - Pharmacy Repository
University of Belgrade, Faculty of Pharmacy
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   FarFaR
  • Pharmacy
  • Radovi istraživača / Researchers’ publications
  • View Item
  •   FarFaR
  • Pharmacy
  • Radovi istraživača / Researchers’ publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Profiling differences in chemical composition of brain structures using Raman spectroscopy

Authorized Users Only
2013
Authors
Daković, Marko
Stojiljković, Aleksandra S.
Bajuk-Bogdanović, Danica
Starcević, Ana
Puskas, Laslo
Filipović, Branislav
Uskoković-Marković, Snežana
Holclajtner-Antunović, Ivanka
Article (Published version)
Metadata
Show full item record
Abstract
Raman spectroscopy enables non-invasive investigation of chemical composition of biological tissues. Due to similar chemical composition, the analysis of Raman spectra of brain structures and assignment of their spectral features to chemical constituents presents a particular challenge. In this study we demonstrate that standard and independent component analysis of Raman spectra is capable of assessment of differences in chemical composition between functionally related gray and white matter structures. Our results show the ability of Raman spectroscopy to successfully depict variation in chemical composition between structurally similar and/or functionally connected brain structures. The observed differences were attributed to variations in content of proteins and lipids in these structures. Independent component analysis enabled separation of contributions of major constituents in spectra and revealed spectral signatures of low-concentration metabolites. This provided finding of dis...crepancies between structures of striatum as well as between white matter structures. Raman spectroscopy can provide information about variations in contents of major chemical constituents in brain structures, while the application of independent component analysis performed on obtained spectra can help in revealing minute differences between closely related brain structures.

Keywords:
Raman spectroscopy / Brain tissue / Chemical composition / Independent component analysis
Source:
Talanta, 2013, 117, 133-138
Publisher:
  • Elsevier Science BV, Amsterdam
Funding / projects:
  • Biomarkers in neurodegenerative and malignant processes (RS-41005)

DOI: 10.1016/j.talanta.2013.08.058

ISSN: 0039-9140

PubMed: 24209321

WoS: 000328801400021

Scopus: 2-s2.0-84884676652
[ Google Scholar ]
13
11
URI
https://farfar.pharmacy.bg.ac.rs/handle/123456789/1883
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Pharmacy
TY  - JOUR
AU  - Daković, Marko
AU  - Stojiljković, Aleksandra S.
AU  - Bajuk-Bogdanović, Danica
AU  - Starcević, Ana
AU  - Puskas, Laslo
AU  - Filipović, Branislav
AU  - Uskoković-Marković, Snežana
AU  - Holclajtner-Antunović, Ivanka
PY  - 2013
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1883
AB  - Raman spectroscopy enables non-invasive investigation of chemical composition of biological tissues. Due to similar chemical composition, the analysis of Raman spectra of brain structures and assignment of their spectral features to chemical constituents presents a particular challenge. In this study we demonstrate that standard and independent component analysis of Raman spectra is capable of assessment of differences in chemical composition between functionally related gray and white matter structures. Our results show the ability of Raman spectroscopy to successfully depict variation in chemical composition between structurally similar and/or functionally connected brain structures. The observed differences were attributed to variations in content of proteins and lipids in these structures. Independent component analysis enabled separation of contributions of major constituents in spectra and revealed spectral signatures of low-concentration metabolites. This provided finding of discrepancies between structures of striatum as well as between white matter structures. Raman spectroscopy can provide information about variations in contents of major chemical constituents in brain structures, while the application of independent component analysis performed on obtained spectra can help in revealing minute differences between closely related brain structures.
PB  - Elsevier Science BV, Amsterdam
T2  - Talanta
T1  - Profiling differences in chemical composition of brain structures using Raman spectroscopy
VL  - 117
SP  - 133
EP  - 138
DO  - 10.1016/j.talanta.2013.08.058
ER  - 
@article{
author = "Daković, Marko and Stojiljković, Aleksandra S. and Bajuk-Bogdanović, Danica and Starcević, Ana and Puskas, Laslo and Filipović, Branislav and Uskoković-Marković, Snežana and Holclajtner-Antunović, Ivanka",
year = "2013",
abstract = "Raman spectroscopy enables non-invasive investigation of chemical composition of biological tissues. Due to similar chemical composition, the analysis of Raman spectra of brain structures and assignment of their spectral features to chemical constituents presents a particular challenge. In this study we demonstrate that standard and independent component analysis of Raman spectra is capable of assessment of differences in chemical composition between functionally related gray and white matter structures. Our results show the ability of Raman spectroscopy to successfully depict variation in chemical composition between structurally similar and/or functionally connected brain structures. The observed differences were attributed to variations in content of proteins and lipids in these structures. Independent component analysis enabled separation of contributions of major constituents in spectra and revealed spectral signatures of low-concentration metabolites. This provided finding of discrepancies between structures of striatum as well as between white matter structures. Raman spectroscopy can provide information about variations in contents of major chemical constituents in brain structures, while the application of independent component analysis performed on obtained spectra can help in revealing minute differences between closely related brain structures.",
publisher = "Elsevier Science BV, Amsterdam",
journal = "Talanta",
title = "Profiling differences in chemical composition of brain structures using Raman spectroscopy",
volume = "117",
pages = "133-138",
doi = "10.1016/j.talanta.2013.08.058"
}
Daković, M., Stojiljković, A. S., Bajuk-Bogdanović, D., Starcević, A., Puskas, L., Filipović, B., Uskoković-Marković, S.,& Holclajtner-Antunović, I.. (2013). Profiling differences in chemical composition of brain structures using Raman spectroscopy. in Talanta
Elsevier Science BV, Amsterdam., 117, 133-138.
https://doi.org/10.1016/j.talanta.2013.08.058
Daković M, Stojiljković AS, Bajuk-Bogdanović D, Starcević A, Puskas L, Filipović B, Uskoković-Marković S, Holclajtner-Antunović I. Profiling differences in chemical composition of brain structures using Raman spectroscopy. in Talanta. 2013;117:133-138.
doi:10.1016/j.talanta.2013.08.058 .
Daković, Marko, Stojiljković, Aleksandra S., Bajuk-Bogdanović, Danica, Starcević, Ana, Puskas, Laslo, Filipović, Branislav, Uskoković-Marković, Snežana, Holclajtner-Antunović, Ivanka, "Profiling differences in chemical composition of brain structures using Raman spectroscopy" in Talanta, 117 (2013):133-138,
https://doi.org/10.1016/j.talanta.2013.08.058 . .

DSpace software copyright © 2002-2015  DuraSpace
About FarFaR - Pharmacy Repository | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceCommunitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About FarFaR - Pharmacy Repository | Send Feedback

OpenAIRERCUB