TY - GEN
T1 - Selective Detection and Genetic Similarity Demonstration of Dengue Virus in Seropositive Patients Using a Computational Guided Method on LSPR-Based Biosensor
AU - Teixeira, Felipe M.F.
AU - de Freitas, Felipe A.N.
AU - de Backer, Júlia
AU - Versiani, Alice F.
AU - Andrade, Lídia M.
AU - da Fonseca, Flávio G.
AU - Ramirez, Jhonattan C.
N1 - Funding Information:
This work received financial support from FAPEMIG (CBB-APQ-03081-17, CBB-APQ-04295-17, RED-00282-16, APQ-01602-21). AFV is supported by a FAPESP (18/17647-0). The authors also thank Dr. Estefânia Mara do Nascimento Martins, CDTN-CNEN, for the measurements made in the Transmitted Electron Microscope.
Publisher Copyright:
© Optica Publishing Group 2022 The Authors.
PY - 2022
Y1 - 2022
N2 - In this work, a computational-guided method for selectively detecting the four Dengue Virus serotypes in seropositive patients using an LSPR-based biosensor, is presented. In addition, the genetic similarity of DENV2/DENV3 and DENV1/DENV4, was computationally demonstrated.
AB - In this work, a computational-guided method for selectively detecting the four Dengue Virus serotypes in seropositive patients using an LSPR-based biosensor, is presented. In addition, the genetic similarity of DENV2/DENV3 and DENV1/DENV4, was computationally demonstrated.
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M3 - Conference contribution
AN - SCOPUS:85146667028
T3 - Optics InfoBase Conference Papers
BT - Latin America Optics and Photonics Conference, LAOP 2022
PB - Optica Publishing Group (formerly OSA)
T2 - Latin America Optics and Photonics Conference, LAOP 2022
Y2 - 7 August 2022 through 11 August 2022
ER -