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Quantitative analysis of hepatitis B virus DNA based on raman spectroscopy combined with multivariate statistical methods
Laser Physics Letters ( IF 1.7 ) Pub Date : 2020-01-22 , DOI: 10.1088/1612-202x/ab6855
Yuwan Du 1 , Guodong Lv 2 , Hongyi Li 3 , Dongni Tong 4 , Xiaoyi Lv 1 , Zhaoxia Zhang 4 , Xiangxiang Zheng 5 , Guohua Wu 5
Affiliation  

Quantitation of hepatitis B virus deoxyribonucleic acid (HBV DNA) is the most accurate method for determining the infection level of hepatitis B. It is a very meaningful means of detecting the different replication states of HBV infection. In this study, HBV DNA was detected and quantified in 499 patients with hepatitis B by confocal Raman spectroscopy combined with multivariate analysis. The effective information related to HBV DNA in spectral data was extracted by different pretreatments according to the vibrational modes of different functional groups. Quantitative analysis of HBV DNA was carried out by using the spectrum in the characteristic range of 807.027–1700.29 cm −1 for spectral peak assignment analysis and using partial least squares to construct a quantitative model. The results show that the regression model is established by combining normalization pretreatment and multivariate analysis methods. The correlation coefficient ( R c ) and roo...

中文翻译:

基于拉曼光谱结合多元统计方法的乙肝病毒DNA定量分析

乙型肝炎病毒脱氧核糖核酸(HBV DNA)的定量是确定乙型肝炎感染水平的最准确方法。这是检测乙肝病毒感染的不同复制状态的非常有意义的手段。在这项研究中,通过共聚焦拉曼光谱结合多变量分析在499例乙型肝炎患者中检测并定量了HBV DNA。根据不同官能团的振动模式,通过不同的预处理,提取了光谱数据中与HBV DNA有关的有效信息。HBV DNA的定量分析使用特征范围为807.027–1700.29 cm -1的光谱进行光谱峰分配分析,并使用偏最小二乘法构建定量模型。结果表明,回归模型是通过归一化预处理和多元分析方法建立的。相关系数(R c)与ro ...
更新日期:2020-01-23
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