TY - JOUR
T1 - A micro-Raman spectroscopy study of inflammatory condition of human cervix
T2 - Probing of tissues and blood plasma samples
AU - Barik, Ajaya Kumar
AU - M, Sanoop Pavithran
AU - N, Mithun
AU - Pai, Muralidhar V.
AU - Upadhya, Rekha
AU - Pai, Abhilash K.
AU - Lukose, Jijo
AU - Chidangil, Santhosh
N1 - Funding Information:
Authors are thankful to the Department Of Biotechnology (DBT), Govt. of India, for the micro-Raman facility for Raman spectroscopy study, Vision Group on Science and Technology (VGST-GRD No.459), Govt. of Karnataka, Manipal Academy of Higher Education for other facilities. Mr. Ajaya kumar Barik, Mr. Sanoop Pavithran M, and Mr. Mithun N are thankful to Manipal Academy of Higher Education for the Dr. TMA Pai Ph.D. fellowships.
Publisher Copyright:
© 2022
PY - 2022/9
Y1 - 2022/9
N2 - The present study explores the application of the micro-Raman spectroscopy technique to discriminate normal and cervicitis condition from cervical malignancy by analyzing the Raman signatures of tissues and plasma samples of the same subjects. The Raman peaks from tissue samples at 1026 cm−1,1298 cm−1 and 1243 cm−1 are attributed to glycogen, fatty acids and collagen and are found to be reliable signatures capable of identifying cervicitis and normal condition from cervical cancer. The Raman signatures from plasma samples belonging to carbohydrates (578 cm−1), lipids (1059 cm−1) and nucleic acids (1077 cm−1,1341 cm−1 and 1357 cm−1) are quite useful to classify various pathological conditions of cervix at par with tissue based diagnosis. The PCA-SVM based classification of the spectral data indicates the potential of Raman spectroscopy based liquid biopsy to rule out false diagnosis of cervicitis as cervical malignancy.
AB - The present study explores the application of the micro-Raman spectroscopy technique to discriminate normal and cervicitis condition from cervical malignancy by analyzing the Raman signatures of tissues and plasma samples of the same subjects. The Raman peaks from tissue samples at 1026 cm−1,1298 cm−1 and 1243 cm−1 are attributed to glycogen, fatty acids and collagen and are found to be reliable signatures capable of identifying cervicitis and normal condition from cervical cancer. The Raman signatures from plasma samples belonging to carbohydrates (578 cm−1), lipids (1059 cm−1) and nucleic acids (1077 cm−1,1341 cm−1 and 1357 cm−1) are quite useful to classify various pathological conditions of cervix at par with tissue based diagnosis. The PCA-SVM based classification of the spectral data indicates the potential of Raman spectroscopy based liquid biopsy to rule out false diagnosis of cervicitis as cervical malignancy.
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U2 - 10.1016/j.pdpdt.2022.102948
DO - 10.1016/j.pdpdt.2022.102948
M3 - Article
C2 - 35661825
AN - SCOPUS:85134594451
SN - 1572-1000
VL - 39
SP - 102948
JO - Photodiagnosis and Photodynamic Therapy
JF - Photodiagnosis and Photodynamic Therapy
M1 - 102948
ER -
