Computational Guided Method Applied to LSPR‐Based Biosensor for Specific Detection of the Four‐Serotypes of Dengue Virus in Seropositive Patients (Part. Part. Syst. Charact. 3/2022)

Computational Guided Method Applied to LSPR‐Based Biosensor for Specific Detection of the Four‐Serotypes of Dengue Virus in Seropositive Patients (Part. Part. Syst. Charact. 3/2022)

In article number 2100157, Ramirez and coworkers propose an original computational approach to differentiate the various serotypes of dengue in the presence of other flaviviruses, after a detection process using localized surface plasmon resonance (LSPR)‐based biosensors, with high sensitivity, sele...

Full description

Saved in:
Bibliographic Details
Published in:Particle & particle systems characterization Vol. 39; no. 3
Main Authors: Machado, Gabriel L., Teixeira, Felipe M. F., Ferreira, Gabriel S. C., Versiani, Alice F., Andrade, Lidia M., Ladeira, Luiz O., da Fonseca, Flávio G., Ramirez, Jhonattan C.
Format: Journal Article
Language:English
Published: 01-03-2022
Subjects:
flavivirus
LSPR biosensors
numerical modeling
plasmonic
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In article number 2100157, Ramirez and coworkers propose an original computational approach to differentiate the various serotypes of dengue in the presence of other flaviviruses, after a detection process using localized surface plasmon resonance (LSPR)‐based biosensors, with high sensitivity, selectivity, and precision. This study demonstrates genetic similarity between DENV3/DENV2, and DENV4/DENV1, implementing recurrence maps, largest Lyapunov exponent, among others, on the measured resonance curve.
ISSN:0934-0866
1521-4117
DOI:10.1002/ppsc.202270009