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Spectroscopy: An International Journal
Volume 27 (2012), Article ID 376793, 14 pages

Investigation of Preeclampsia Using Raman Spectroscopy

1Department of Physics Engineering, Faculty of Science and Letters, Istanbul Technical University, Maslak, 34469 Istanbul, Turkey
2Department of Engineering Science, Faculty of Engineering, Istanbul University, Avcilar, 34320 Istanbul, Turkey
3Physics Department, Faculty of Science, Istanbul University, Vezneciler, 34134 Istanbul, Turkey
4Department of Molecular Biology and Genetics, Faculty of Science, Istanbul University, Vezneciler, 34134 Istanbul, Turkey
5Department of Obstetrics and Gynecology, Cerrahpasa Medical Faculty, Istanbul University, Fatih, 34098 Istanbul, Turkey
6Department of Obstetrics and Gynecology, Istanbul Medical Faculty, Istanbul University, Capa, 34093 Istanbul, Turkey

Copyright © 2012 Günay Başar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Preeclampsia is associated with increased perinatal morbidity and mortality. There have been numerous efforts to determine preeclampsia biomarkers by means of biophysical, biochemical, and spectroscopic methods. In this study, the preeclampsia and control groups were compared via band component analysis and multivariate analysis using Raman spectroscopy as an alternative technique. The Raman spectra of serum samples were taken from nine preeclamptic, ten healthy pregnant women. The Band component analysis and principal component analysis-linear discriminant analysis were applied to all spectra after a sensitive preprocess step. Using linear discriminant analysis, it was found that Raman spectroscopy has a sensitivity of 78% and a specificity of 90% for the diagnosis of preeclampsia. Via the band component analysis, a significant difference in the spectra of preeclamptic patients was observed when compared to the control group. 19 Raman bands exhibited significant differences in intensity, while 11 of them decreased and eight of them increased. This difference seen in vibrational bands may be used in further studies to clarify the pathophysiology of preeclampsia.