Surface-Enhanced Raman Scattering Combined with Machine Learning for Rapid and Sensitive Detection of Anti-SARS-CoV-2 IgG

Surface-Enhanced Raman Scattering Combined with Machine Learning for Rapid and Sensitive Detection of Anti-SARS-CoV-2 IgG

This work reports an efficient method to detect SARS-CoV-2 antibodies in blood samples based on SERS combined with a machine learning tool. For this purpose, gold nanoparticles directly conjugated with spike protein were used in human blood samples to identify anti-SARS-CoV-2 antibodies. The compreh...

Full description

Saved in:
Bibliographic Details
Main Authors: Thais de Andrade Silva, Gabriel Fernandes Souza dos Santos, Adilson Ribeiro Prado, Daniel Cruz Cavalieri, Arnaldo Gomes Leal Junior, Flávio Garcia Pereira, Camilo A. R. Díaz, Marco Cesar Cunegundes Guimarães, Servio Túlio Alves Cassini, Jairo Pinto de Oliveira
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Biosensors
Subjects:
gold nanoparticles
multivariate analysis
SERS
machine learning
Online Access:https://www.mdpi.com/2079-6374/14/11/523
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items