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Understanding the Excitation Wavelength Dependence and Thermal Stability of the SARS-CoV-2 Receptor-Binding Domain Using Surface-Enhanced Raman Scattering and Machine Learning.
Zhang, Kunyan; Wang, Ziyang; Liu, He; Perea-López, Néstor; Ranasinghe, Jeewan C; Bepete, George; Minns, Allen M; Rossi, Randall M; Lindner, Scott E; Huang, Sharon X; Terrones, Mauricio; Huang, Shengxi.
Afiliación
  • Zhang K; Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania16802, United States.
  • Wang Z; Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania16802, United States.
  • Liu H; Department of Electrical and Computer Engineering, Rice University, Houston, Texas77005, United States.
  • Perea-López N; Department of Chemistry, The Pennsylvania State University, University Park, Pennsylvania16802, United States.
  • Ranasinghe JC; Department of Physics, The Pennsylvania State University, University Park, Pennsylvania16802, United States.
  • Bepete G; Center for 2-Dimensional and Layered Materials, The Pennsylvania State University, University Park, Pennsylvania16802, United States.
  • Minns AM; Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania16802, United States.
  • Rossi RM; Department of Electrical and Computer Engineering, Rice University, Houston, Texas77005, United States.
  • Lindner SE; Department of Chemistry, The Pennsylvania State University, University Park, Pennsylvania16802, United States.
  • Huang SX; Department of Physics, The Pennsylvania State University, University Park, Pennsylvania16802, United States.
  • Terrones M; Center for 2-Dimensional and Layered Materials, The Pennsylvania State University, University Park, Pennsylvania16802, United States.
  • Huang S; Department of Biochemistry and Molecular Biology, Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, Pennsylvania16802, United States.
ACS Photonics ; 9(9): 2963-2972, 2022 Sep 21.
Article en En | MEDLINE | ID: mdl-37552735

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Photonics Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Photonics Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos