Your browser doesn't support javascript.
loading
Toward the Ultimate Limit of Analyte Detection, in Graphene-Based Field-Effect Transistors.
Lee, Alex W; Dong, Yongliang; Natani, Shreyam; Ban, Deependra Kumar; Bandaru, Prabhakar R.
Afiliación
  • Lee AW; Materials Science and Engineering Program, University of California, San Diego, California 92093, United States.
  • Dong Y; Materials Science and Engineering Program, University of California, San Diego, California 92093, United States.
  • Natani S; Department of Mechanical and Aerospace Engineering, University of California, San Diego, California 92093, United States.
  • Ban DK; Keck Graduate Institute, Claremont, Los Angeles, California 91711, United States.
  • Bandaru PR; Materials Science and Engineering Program, University of California, San Diego, California 92093, United States.
Nano Lett ; 24(4): 1214-1222, 2024 Jan 31.
Article en En | MEDLINE | ID: mdl-38230628
ABSTRACT
The ultimate sensitivity of field-effect-transistor (FET)-based devices for ionic species detection is of great interest, given that such devices are capable of monitoring single-electron-level modulations. It is shown here, from both theoretical and experimental perspectives, that for such ultimate limits to be approached the thermodynamic as well as kinetic characteristics of the (FET surface)-(linker)-(ion-receptor) ensemble must be considered. The sensitivity was probed in terms of optimal packing of the ensemble, through a minimal charge state/capacitance point of view and atomic force microscopy. Through the fine-tuning of the linker and receptor interaction with the sensing surface, a record limit of detection as well as specificity in the femtomolar range, orders of magnitude better than previously obtained and in excellent accord with prediction, was observed.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nano Lett Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nano Lett Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos