DataVXParticle & Particle Systems CharacterizationPaper
journal article·2022-03

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)

Gabriel L. Machado, Felipe M. F. Teixeira, Gabriel S. C. Ferreira, Alice F. Versiani, Lidia M. Andrade, Luiz O. Ladeira, Flávio G. da Fonseca, Jhonattan C. Ramirez

Particle & Particle Systems Characterization· Volume 39· Issue 3
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Source abstract

Abstract

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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Mosquito-borne diseases and control

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Affiliations

Department of Electronic Engineering Federal University of Minas Gerais (UFMG) Belo Horizonte Minas Gerais 31270‐901 Brazil

Virology Research Laboratory Department of Infectious and Parasitic Diseases Faculty of Medicine of São José do Rio Preto São José do Rio Preto Sao Paulo 15090‐000 Brazil

NanoBioMedical Research Group Department of Physics Federal University of Minas Gerais (UFMG) Belo Horizonte MG 31270‐901 Brazil

Laboratory of Nanomaterials Department of Physics Federal University of Minas Gerais (UFMG) Belo Horizonte MG 31270‐901 Brazil

Basic and Applied Virology Laboratory Department of Microbiology, Institute of Biological Sciences Federal University of Minas Gerais (UFMG) Belo Horizonte Minas Gerais 31270‐901 Brazil

Vaccine Technology Center Federal University of Minas Gerais (UFMG) Belo Horizonte Minas Gerais 31270‐901 Brazil

References

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