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Sensitivity limits and scaling of bioelectronic graphene transducers.
Cheng, Zengguang; Hou, Junfeng; Zhou, Qiaoyu; Li, Tianyi; Li, Hongbian; Yang, Long; Jiang, Kaili; Wang, Chen; Li, Yuanchang; Fang, Ying.
Afiliação
  • Cheng Z; National Center for Nanoscience and Technology, 11 Beiyitiao Street, Zhongguancun, Beijing 100190, PR China.
Nano Lett ; 13(6): 2902-7, 2013 Jun 12.
Article em En | MEDLINE | ID: mdl-23638876
ABSTRACT
Semiconducting nanomaterials are being intensively studied as active elements in bioelectronic devices, with the aim of improving spatial resolution. Yet, the consequences of size-reduction on fundamental noise limits, or minimum resolvable signals, and their impact on device design considerations have not been defined. Here, we address these key issues by quantifying the size-dependent performance and limiting factors of graphene (Gra) transducers under physiological conditions. We show that suspended Gra devices represent the optimal configuration for cardiac extracellular electrophysiology in terms of both transducer sensitivity, systematically ~5× higher than substrate-supported devices, and forming tight bioelectronic interfaces. Significantly, noise measurements on free-standing Gra together with theoretical calculations yield a direct relationship between low-frequency 1/f noise and water dipole-induced disorders, which sets fundamental sensitivity limits for Gra devices in physiological media. As a consequence, a square-root-of-area scaling of Gra transducer sensitivity was experimentally revealed to provide a critical design rule for their implementation in bioelectronics.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semicondutores / Técnicas Biossensoriais / Grafite Tipo de estudo: Diagnostic_studies Idioma: En Revista: Nano Lett Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semicondutores / Técnicas Biossensoriais / Grafite Tipo de estudo: Diagnostic_studies Idioma: En Revista: Nano Lett Ano de publicação: 2013 Tipo de documento: Article