离心过滤 HBV 血清样本的表面增强拉曼光谱分析。
Surface-enhanced Raman spectroscopic analysis of centrifugally filtered HBV serum samples.
机构信息
Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
出版信息
Photodiagnosis Photodyn Ther. 2022 Jun;38:102808. doi: 10.1016/j.pdpdt.2022.102808. Epub 2022 Mar 14.
BACKGROUND
Raman spectroscopy is an effective tool for detecting and discriminating centrifugally filtered hepatitis B virus serum and centrifugally filtered control serum.
OBJECTIVES
The purpose of current study is to separate high molecular weight fractions from low molecular weight fractions present hepatitis B serum to increase the disease diagnostic ability of surface enhanced Raman spectroscopy (SERS).
METHODS
Clinically diagnosed centrifugally filtered serum samples of hepatitis B patients are subjected for surface enhanced Raman spectroscopy (SERS) in comparison with centrifugally filtered serum samples of healthy individuals by using silver nanoparticles (Ag-NPs) as SERS substrates. Some SERS spectral features are solely observed in centrifugally filtered serum samples of hepatitis B and some SERS spectral are solely observed in centrifugally filtered serum samples of healthy individuals. The diagnostic ability of SERS is further enhanced with different statistical techniques like principal component analysis (PCA), partial least square discriminant analysis (PLS-DA) and partial least square regression analysis (PLSR) have applied.
RESULTS
The disease biomarkers of hepatitis B are more pronounced after their centrifugation as compared with uncentrifuged form. Statistical tools like principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) clearly differentiated centrifugally filtered serum samples of hepatitis B from centrifugally filtered serum samples of healthy individuals. Furthermore, partial least square regression analysis (PLSR) has been applied for predicting unknown viral load of centrifugally filtered serum sample of hepatitis B.
CONCLUSION
SERS technique along with chemometric tools have successfully differentiated centrifugally filtered serum samples of hepatitis B from centrifugally filtered serum samples of healthy individuals. The centrifugal filtration process has increased the differentiation accuracy of PLS-DA in terms of percentage 98% and regression accuracy of PLSR regression analysis in terms of RMSEP (0.30 IU/mL) of this diagnostic method as compared with that of uncentrifuged method.
背景
拉曼光谱是一种有效工具，可用于检测和区分离心过滤的乙型肝炎病毒血清和离心过滤的对照血清。
目的
本研究旨在从乙型肝炎血清中分离高分子量和低分子量部分，以提高表面增强拉曼光谱（SERS）的疾病诊断能力。
方法
对临床诊断的乙型肝炎患者离心过滤血清样本进行表面增强拉曼光谱（SERS）分析，并与健康个体的离心过滤血清样本进行比较，使用银纳米颗粒（Ag-NPs）作为 SERS 基底。一些 SERS 光谱特征仅在乙型肝炎离心过滤血清样本中观察到，而一些 SERS 光谱特征仅在健康个体的离心过滤血清样本中观察到。使用主成分分析（PCA）、偏最小二乘判别分析（PLS-DA）和偏最小二乘回归分析（PLSR）等不同统计技术进一步增强了 SERS 的诊断能力。
结果
与未离心的形式相比，乙型肝炎患者的疾病生物标志物在离心后更为明显。统计工具如主成分分析（PCA）和偏最小二乘判别分析（PLS-DA）清楚地区分了乙型肝炎的离心过滤血清样本和健康个体的离心过滤血清样本。此外，还应用偏最小二乘回归分析（PLSR）来预测乙型肝炎离心过滤血清样本的未知病毒载量。
结论
SERS 技术结合化学计量工具成功地区分了乙型肝炎的离心过滤血清样本和健康个体的离心过滤血清样本。与未离心的方法相比，离心过滤过程提高了 PLS-DA 在百分比方面（98%）和 PLSR 回归分析在 RMSEP（0.30 IU/mL）方面的区分准确性，作为该诊断方法的回归准确性。
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