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Nano-biosensor for SARS-CoV-2/COVID-19 detection: methods, mechanism and interface design.
Liu, Yansheng; Qin, Zhenle; Zhou, Jin; Jia, Xiaobo; Li, Hongli; Wang, Xiaohong; Chen, Yating; Sun, Zijun; He, Xiong; Li, Hongda; Wang, Guofu; Chang, Haixin.
Afiliación
  • Liu Y; School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
  • Qin Z; Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China.
  • Zhou J; School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
  • Jia X; School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
  • Li H; School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
  • Wang X; School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
  • Chen Y; School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
  • Sun Z; School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
  • He X; School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
  • Li H; School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
  • Wang G; School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
  • Chang H; Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China.
RSC Adv ; 13(26): 17883-17906, 2023 Jun 09.
Article en En | MEDLINE | ID: mdl-37323463
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: RSC Adv Año: 2023 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: RSC Adv Año: 2023 Tipo del documento: Article