Identification of new spectral signatures from hepatitis C virus infected human sera

Hepatitis C virus (HCV) infection is one of the leading causes of morbidity and mortality worldwide. Mortality linked with HCV infection can be lowered with effective and prompt diagnosis in early stages of infection. In this study potential of Raman spectroscopy to differentiate between healthy and...

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Veröffentlicht in:	Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Molecular and biomolecular spectroscopy, 2019-11, Vol.222, p.117181, Article 117181
Hauptverfasser:	Naseer, Khulla, Saleem, Muhammad, Ali, Safdar, Mirza, Bushra, Qazi, Javaria
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis of Variance ANOVA Discriminant Analysis HCV infection Hepacivirus - chemistry Hepacivirus - isolation & purification Hepatitis C - blood Hepatitis C - diagnosis Humans PCA-LDA Principal Component Analysis Raman spectroscopy Spectrum Analysis, Raman - methods t-Test
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Zusammenfassung:	Hepatitis C virus (HCV) infection is one of the leading causes of morbidity and mortality worldwide. Mortality linked with HCV infection can be lowered with effective and prompt diagnosis in early stages of infection. In this study potential of Raman spectroscopy to differentiate between healthy and HCV infected serum samples was investigated. Clear differences were observed in the Raman spectra of HCV infected and healthy sera samples. Using the analysis of variance (ANOVA) and t-test (p
ISSN:	1386-1425 1873-3557
DOI:	10.1016/j.saa.2019.117181