Surface enhanced Raman spectroscopy of RNA samples extracted from blood of hepatitis C patients for quantification of viral loads.
Hepatitis C viral RNA
Partial least square regression analysis
Principal component analysis
Silver nanoparticles
Surface enhanced Raman spectroscopy
Journal
Photodiagnosis and photodynamic therapy
ISSN: 1873-1597
Titre abrégé: Photodiagnosis Photodyn Ther
Pays: Netherlands
ID NLM: 101226123
Informations de publication
Date de publication:
Mar 2021
Mar 2021
Historique:
received:
24
09
2020
revised:
23
11
2020
accepted:
14
12
2020
pubmed:
22
12
2020
medline:
15
5
2021
entrez:
21
12
2020
Statut:
ppublish
Résumé
Raman spectroscopy is a promising technique to analyze the body fluids for the purpose of non-invasive disease diagnosis. To develop a surface-enhanced Raman spectroscopy (SERS) based method for qualitative and quantitative analysis of HCV from blood samples. SERS was employed to characterize the Hepatitis C viral RNA extracted from different blood samples of hepatitis C virus (HCV) infected patients with predetermined viral loads in comparison with total RNA of healthy individuals. The SERS measurements were performed on 27 extracted RNA samples including low viral loads, medium viral loads, high viral loads and healthy/negative viral load samples. For this purpose, silver nanoparticles (Ag NPs) were used as SERS substrates. Furthermore, multivariate data analysis technique, Principal Component Analysis (PCA) and Partial Least Square Regression (PLSR) were also performed on SERS spectral data. The SERS spectral features due to biochemical changes in the extracted RNA samples associated with the increasing viral loads were established which could be employed for HCV diagnostic purpose. PCA was found helpful for the differentiation between Raman spectral data of RNA extracted from hepatitis infected and healthy blood samples. PLSR model is established for the determination of viral loads in HCV positive RNA samples with 99 % accuracy. SERS can be employed for qualitative and quantitative analysis of HCV from blood samples.
Sections du résumé
BACKGROUND
BACKGROUND
Raman spectroscopy is a promising technique to analyze the body fluids for the purpose of non-invasive disease diagnosis.
OBJECTIVES
OBJECTIVE
To develop a surface-enhanced Raman spectroscopy (SERS) based method for qualitative and quantitative analysis of HCV from blood samples.
METHODS
METHODS
SERS was employed to characterize the Hepatitis C viral RNA extracted from different blood samples of hepatitis C virus (HCV) infected patients with predetermined viral loads in comparison with total RNA of healthy individuals. The SERS measurements were performed on 27 extracted RNA samples including low viral loads, medium viral loads, high viral loads and healthy/negative viral load samples. For this purpose, silver nanoparticles (Ag NPs) were used as SERS substrates. Furthermore, multivariate data analysis technique, Principal Component Analysis (PCA) and Partial Least Square Regression (PLSR) were also performed on SERS spectral data.
RESULTS
RESULTS
The SERS spectral features due to biochemical changes in the extracted RNA samples associated with the increasing viral loads were established which could be employed for HCV diagnostic purpose. PCA was found helpful for the differentiation between Raman spectral data of RNA extracted from hepatitis infected and healthy blood samples. PLSR model is established for the determination of viral loads in HCV positive RNA samples with 99 % accuracy.
CONCLUSION
CONCLUSIONS
SERS can be employed for qualitative and quantitative analysis of HCV from blood samples.
Identifiants
pubmed: 33348077
pii: S1572-1000(20)30506-8
doi: 10.1016/j.pdpdt.2020.102152
pii:
doi:
Substances chimiques
Photosensitizing Agents
0
Silver
3M4G523W1G
RNA
63231-63-0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
102152Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.