Study On Hepatitis B Detection Based On Serum Surface Enhanced Raman Spectroscopy

Since Fleischmann reported surface enhanced Raman scattering(SERS)phenomenon in rough silver electrode for the first time,surface enhanced Raman scattering has attracted great attention of researchers in various fields.In this study,human serum as the research object,surface enhanced Raman spectroscopy(SERS)combined with cellulose acetate membrane protein extraction technology and protein precipitation technology was employed to label-free detection of variation in composition of serum for hepatitis B virus(HBV)diagnosis,and for the first time,taking the advantages of SERS spectra derivative data processing method and multivariate statistics analysis method to discriminate spectral data from HBV patients and healthy volunteers.We tried to explore a new method which can accomplish simple,accurate,low cost and label-free as well as early detection method for HBV diagnosis.The main research work is as follows:1.Serum surface-enhanced Raman spectroscopy(SERS)was developed here for non-invasive detection of hepatitis B virus(HBV).SERS measurement was applied on two groups of serum samples.One group included 93 HBV patients and the other group included 94 healthy volunteers as control subjects.For better analysis of spectral data,the first-order derivation was employed for SERS data preprocessing.Furthermore,PCA-LDA were employed to distinguish HBV patients from healthy volunteer and realized the diagnostic sensitivity of 75%and 83%,and specificity of 78.5 and 91.4%for routine and first order derivative SERS spectra,respectively.2.The purpose of this section was to develop a more effective method for serum analysis combining membrane protein purification with silver nanoparticle-based surface-enhanced Raman spectroscopy analysis method for non-invasive and sensitive HBV detection.High-quality SERS spectra were acquired from serum proteins belonging to 94 HBV patients groups and 89 normal groups.PCA-LDA was also introduced to analyze the obtained serum protein spectra.Comparing with the former normal serum SERS detection,with a higher diagnostic sensitivity of 92.6%and specificity of 77.5%could differentiate HBV patients groups from normal groups.3.The ACN-serum SERS technique was used to detect the hepatitis B virus(HBV)by laber-free detection method.To reduce the interference of high abundance protein for detection of low abundance protein and other biomolecules that are less competitive in absorption but have a close relationship to disease diagnosis,we propose ACN-serum SERS spectroscopy detection technique.SERS spectroscopy was employed to detect ACN-serum from 86 HBV patients and 82 healthy volunteers.By cross-validation,PCA-LDA classification results showed that the sensitivity and specificity of HBV discrimination were 88.4%,91.9%and 78%,82.9%for routine and first order derivative ACN-serum SERS spectra,respectively.And we can demonstrate that ACN-serum SERS spectra has a great improvement in specificity.This research results suggests that serum SERS spectra,serum proteins SERS spectra and ACN-serum SERS spectra in combination with derivative data preprocessing method and multivariate statistical analysis have great potential for the simple,low cost,label-free and accurate mass screening of HBV.