Rhinophore bio-inspired stretchable and programmable electrochemical sensor.


Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
01 Oct 2019
Historique:
received: 07 05 2019
revised: 28 06 2019
accepted: 15 07 2019
pubmed: 22 7 2019
medline: 30 1 2020
entrez: 22 7 2019
Statut: ppublish

Résumé

Rhinophore, a bio-chemical sensory organ with soft and stretchable/retractable features in many marine molluscs species, exhibits tunable chemosensory abilities in terms of far/near-field chemical detection and molecules' source orientation. However, existing artificial bio-chemical sensors cannot provide tunable modality sensing. Inspired by the anatomical units (folded sensory epithelium) and the functions of a rhinophore, this work introduces a stretchable electrochemical sensor that offers a programmable electro-catalytic performance towards glucose based on the fold/unfold regulation of the gold nanomembrane on an elastic fiber. Geometrical design rationale and covalent bonding strategy are used to realize the robust mechanical and electrical stability of this stretchable bionic sensor. Electrochemical tests demonstrated that the sensitivities of the as-prepared bionic sensor exhibit a linear relationship with its strain states from 0% to 150%. Bio-inspired sensory functions are tested by regulating the strain of the bionic sensor. The sensor achieves a sensitivity of 195.4 μA mM

Identifiants

pubmed: 31326862
pii: S0956-5663(19)30598-6
doi: 10.1016/j.bios.2019.111519
pii:
doi:

Substances chimiques

Membranes, Artificial 0
Gold 7440-57-5
Glucose IY9XDZ35W2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111519

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Shuqi Wang (S)

i-Lab, and Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.

Chunyan Qu (C)

i-Lab, and Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.

Lin Liu (L)

Xi'an Jiaotong Liverpool University, Department of Environmental Science, 111 Renai Road, Suzhou, Jiangsu, 215123, PR China.

Lianhui Li (L)

i-Lab, and Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.

Tie Li (T)

i-Lab, and Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.

Sujie Qin (S)

Xi'an Jiaotong Liverpool University, Department of Environmental Science, 111 Renai Road, Suzhou, Jiangsu, 215123, PR China.

Ting Zhang (T)

i-Lab, and Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China. Electronic address: tzhang2009@sinano.ac.cn.

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Classifications MeSH