Optical diagnosis of hepatitis B virus infection in blood plasma using Raman spectroscopy and chemometric techniques

Abstract

The potential of Raman spectroscopy has been utilized for the diagnosis of hepatitis B virus (HBV) infection in blood plasma. Raman spectra of 24 diseased and 10 healthy samples were used to develop distinct types of support vector machine (SVM) models, including linear, quadratic, and radial basis function (RBF) using multivariate method of principal component analysis (PCA) to reduce the dimensions of the obtained datasets. To assess the diagnostic power of these algorithms, developed models were tested on independent dataset. RBF‐based PCA‐SVM model achieved the best performance and yielded accuracy of 98.82%, sensitivity of 98.89%, and specificity of 98.80%. The performance of the SVM models was compared with rerated chemometric method of partial least square regression (PLSR), which has been developed by using the same dataset. The PLSR model attained the diagnostic accuracy of 88%, sensitivity of 93%, and specificity of 78% for same dataset. Our developed model has established promising results compared with state‐of‐the‐art approaches. The results reveal the improved performance of the developed chemometric techniques and clinical prediction potential of HBV by PCA‐SVMs in conjunction with Raman spectroscopy.

Diagnosing COVID‐19 in human sera with detected immunoglobulins IgM and IgG by means of Raman spectroscopy

“…Very recently, two reviews thoroughly explore the potential of Raman spectroscopy for diagnosis of breast and oral cancers, [ 21 , 22 ] and a research paper proposed the detection of infectious diseases such as hepatitis B in plasma. [ 23 ]…”

“…Very recently, two reviews thoroughly explore the potential of Raman spectroscopy for diagnosis of breast and oral cancers, [21,22] and a research paper proposed the detection of infectious diseases such as hepatitis B in plasma. [23] Recently, two reviews thoroughly explore the potential of Raman spectroscopy and others optical technologies in detecting viruses and prospect some applications for the detection of infectious diseases like COVID-19. [24,25] Up to date, six research papers have been published as a goal to clinically detect SARS-CoV-2 or diagnose COVID-19 using vibrational spectroscopy techniques such as Attenuated Total Reflection-Fourier Transform Infrared Spectroscopy (ATR-FTIR), [26,27] Surface Enhanced Raman Spectroscopy (SERS), [28,29] and dispersive, near-infrared Raman spectroscopy.…”

A Comprehensive Review on Raman Spectroscopy Applications

“…The Hepatitis B virus has a distinctive Raman signature, and can be detected with SERS by developing algorithms for data processing and recognition, achieving a 98.82% accuracy [151].…”

Role of Multiomics Data to Understand Host–Pathogen Interactions in COVID-19 Pathogenesis

“…By observing the change in Raman spectra, this method can detect viral infection in vitro only three hours after the addition of the virus to the culture medium. 45 Recently, Desai et al used this method to screen for RNA viruses in saliva, employing a group of 65 Raman spectral features that typically point to the RNA moieties. They achieved a prediction accuracy of 91.6%.…”