Literature DB >> 29677500

Raman spectral analysis for rapid screening of dengue infection.

T Mahmood1, H Nawaz2, A Ditta1, M I Majeed1, M A Hanif1, N Rashid3, H N Bhatti1, H F Nargis1, M Saleem4, F Bonnier5, H J Byrne6.   

Abstract

Infection with the dengue virus is currently clinically detected according to different biomarkers in human blood plasma, commonly measured by enzyme linked immunosorbent assays, including non-structural proteins (Ns1), immunoglobulin M (IgM) and immunoglobulin G (IgG). However, there is little or no mutual correlation between the biomarkers, as demonstrated in this study by a comparison of their levels in samples from 17 patients. As an alternative, the label free, rapid screening technique, Raman spectroscopy has been used for the characterisation/diagnosis of healthy and dengue infected human blood plasma samples. In dengue positive samples, changes in specific Raman spectral bands associated with lipidic and amino acid/protein content are observed and assigned based on literature and these features can be considered as markers associated with dengue development. Based on the spectroscopic analysis of the current, albeit limited, cohort of samples, Principal Components Analysis (PCA) coupled Factorial Discriminant Analysis, yielded values of 97.95% sensitivity and 95.40% specificity for identification of dengue infection. Furthermore, in a comparison of the normal samples to the patient samples which scored low for only one of the biomarker tests, but high or medium for either or both of the other two, PCA-FDA demonstrated a sensitivity of 97.38% and specificity of 86.18%, thus providing an unambiguous screening technology.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood plasma; Blood plasma biomarkers; Dengue infection; Factorial Discriminant Analysis; Principal components analysis; Raman spectroscopy

Mesh:

Substances:

Year:  2018        PMID: 29677500     DOI: 10.1016/j.saa.2018.04.018

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  5 in total

1.  Diagnosis of dengue virus infection using spectroscopic images and deep learning.

Authors:  Mehdi Hassan; Safdar Ali; Muhammad Saleem; Muhammad Sanaullah; Labiba Gillani Fahad; Jin Young Kim; Hani Alquhayz; Syed Fahad Tahir
Journal:  PeerJ Comput Sci       Date:  2022-06-01

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

Authors:  Ana Cristina Castro Goulart; Renato Amaro Zângaro; Henrique Cunha Carvalho; Landulfo Silveira
Journal:  J Raman Spectrosc       Date:  2021-08-19       Impact factor: 2.727

3.  Raman spectroscopy as a non-invasive diagnostic technique for endometriosis.

Authors:  Ugur Parlatan; Medine Tuna Inanc; Bahar Yuksel Ozgor; Engin Oral; Ercan Bastu; Mehmet Burcin Unlu; Gunay Basar
Journal:  Sci Rep       Date:  2019-12-24       Impact factor: 4.379

4.  Analysis and Classification of Hepatitis Infections Using Raman Spectroscopy and Multiscale Convolutional Neural Networks.

Authors:  Y Zhao; Sh Tian; L Yu; Zh Zhang; W Zhang
Journal:  J Appl Spectrosc       Date:  2021-05-06       Impact factor: 0.816

Review 5.  Challenges in application of Raman spectroscopy to biology and materials.

Authors:  Nikki Kuhar; Sanchita Sil; Taru Verma; Siva Umapathy
Journal:  RSC Adv       Date:  2018-07-20       Impact factor: 4.036

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.