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Study of parasitic resistance effects in nanowire and nanoribbon biosensors.
Zeimpekis, Ioannis; Sun, Kai; Hu, Chunxiao; Thomas, Owain; de Planque, Maurits Rr; Chong, Harold Mh; Morgan, Hywel; Ashburn, Peter.
Afiliación
  • Zeimpekis I; Zepler Institute, School of Electronics & Computer Science, University of Southampton, Southampton, SO17 1BJ UK.
  • Sun K; Zepler Institute, School of Electronics & Computer Science, University of Southampton, Southampton, SO17 1BJ UK.
  • Hu C; Zepler Institute, School of Electronics & Computer Science, University of Southampton, Southampton, SO17 1BJ UK.
  • Thomas O; Oxford Instruments Plasma Technology, Yatton, Bristol, BS49 4AP UK.
  • de Planque MR; Zepler Institute, School of Electronics & Computer Science, University of Southampton, Southampton, SO17 1BJ UK.
  • Chong HM; Zepler Institute, School of Electronics & Computer Science, University of Southampton, Southampton, SO17 1BJ UK.
  • Morgan H; Zepler Institute, School of Electronics & Computer Science, University of Southampton, Southampton, SO17 1BJ UK.
  • Ashburn P; Zepler Institute, School of Electronics & Computer Science, University of Southampton, Southampton, SO17 1BJ UK.
Nanoscale Res Lett ; 10: 79, 2015.
Article en En | MEDLINE | ID: mdl-25852375
In this work, we investigate sensor design approaches for eliminating the effects of parasitic resistance in nanowire and nanoribbon biosensors. Measurements of pH with polysilicon nanoribbon biosensors are used to demonstrate a reduction in sensitivity as the sensor length is reduced. The sensitivity (normalised conductance change) is reduced from 11% to 5.5% for a pH change from 9 to 3 as the sensing window length is reduced from 51 to 11 µm. These results are interpreted using a simple empirical model, which is also used to demonstrate how the sensitivity degradation can be alleviated by a suitable choice of sensor window length. Furthermore, a differential sensor design is proposed that eliminates the detrimental effects of parasitic resistance. Measurements on the differential sensor give a sensitivity of 15%, which is in good agreement with the predicted maximum sensitivity obtained from modeling.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nanoscale Res Lett Año: 2015 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nanoscale Res Lett Año: 2015 Tipo del documento: Article