Literature DB >> 20348597

Nano-yarn carbon nanotube fiber based enzymatic glucose biosensor.

Zhigang Zhu1, Wenhui Song, Krishna Burugapalli, Francis Moussy, Ya-Li Li, Xiao-Hua Zhong.   

Abstract

A novel brush-like electrode based on carbon nanotube (CNT) nano-yarn fiber has been designed for electrochemical biosensor applications and its efficacy as an enzymatic glucose biosensor demonstrated. The CNT nano-yarn fiber was spun directly from a chemical-vapor-deposition (CVD) gas flow reaction using a mixture of ethanol and acetone as the carbon source and an iron nano-catalyst. The fiber, 28 microm in diameter, was made of bundles of double walled CNTs (DWNTs) concentrically compacted into multiple layers forming a nano-porous network structure. Cyclic voltammetry study revealed a superior electrocatalytic activity for CNT fiber compared to the traditional Pt-Ir coil electrode. The electrode end tip of the CNT fiber was freeze-fractured to obtain a unique brush-like nano-structure resembling a scale-down electrical 'flex', where glucose oxidase (GOx) enzyme was immobilized using glutaraldehyde crosslinking in the presence of bovine serum albumin (BSA). An outer epoxy-polyurethane (EPU) layer was used as semi-permeable membrane. The sensor function was tested against a standard reference electrode. The sensitivities, linear detection range and linearity for detecting glucose for the miniature CNT fiber electrode were better than that reported for a Pt-Ir coil electrode. Thermal annealing of the CNT fiber at 250 degrees C for 30 min prior to fabrication of the sensor resulted in a 7.5 fold increase in glucose sensitivity. The as-spun CNT fiber based glucose biosensor was shown to be stable for up to 70 days. In addition, gold coating of the electrode connecting end of the CNT fiber resulted in extending the glucose detection limit to 25 microM. To conclude, superior efficiency of CNT fiber for glucose biosensing was demonstrated compared to a traditional Pt-Ir sensor.

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Year:  2010        PMID: 20348597     DOI: 10.1088/0957-4484/21/16/165501

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  13 in total

Review 1.  Nanosensors and nanomaterials for monitoring glucose in diabetes.

Authors:  Kevin J Cash; Heather A Clark
Journal:  Trends Mol Med       Date:  2010-09-24       Impact factor: 11.951

Review 2.  Options for the Development of Noninvasive Glucose Monitoring: Is Nanotechnology an Option to Break the Boundaries?

Authors:  Andreas Thomas; Lutz Heinemann; Araceli Ramírez; Alfred Zehe
Journal:  J Diabetes Sci Technol       Date:  2016-05-03

3.  A critical review of glucose biosensors based on carbon nanomaterials: carbon nanotubes and graphene.

Authors:  Zhigang Zhu; Luis Garcia-Gancedo; Andrew J Flewitt; Huaqing Xie; Francis Moussy; William I Milne
Journal:  Sensors (Basel)       Date:  2012-05-10       Impact factor: 3.576

4.  Biocompatibility and magnetic resonance imaging characteristics of carbon nanotube yarn neural electrodes in a rat model.

Authors:  Yi Guo; Wanru Duan; Chao Ma; Changqing Jiang; Yikuan Xie; Hongwei Hao; Renzhi Wang; Luming Li
Journal:  Biomed Eng Online       Date:  2015-12-21       Impact factor: 2.819

5.  A Fast Response Ammonia Sensor Based on Coaxial PPy-PAN Nanofiber Yarn.

Authors:  Penghong Liu; Shaohua Wu; Yue Zhang; Hongnan Zhang; Xiaohong Qin
Journal:  Nanomaterials (Basel)       Date:  2016-06-23       Impact factor: 5.076

Review 6.  Current and Emerging Technology for Continuous Glucose Monitoring.

Authors:  Cheng Chen; Xue-Ling Zhao; Zhan-Hong Li; Zhi-Gang Zhu; Shao-Hong Qian; Andrew J Flewitt
Journal:  Sensors (Basel)       Date:  2017-01-19       Impact factor: 3.576

Review 7.  Carbon nanotube biosensors.

Authors:  Carmen-Mihaela Tîlmaciu; May C Morris
Journal:  Front Chem       Date:  2015-10-27       Impact factor: 5.221

8.  Analytical modeling of glucose biosensors based on carbon nanotubes.

Authors:  Ali H Pourasl; Mohammad Taghi Ahmadi; Meisam Rahmani; Huei Chaeng Chin; Cheng Siong Lim; Razali Ismail; Michael Loong Peng Tan
Journal:  Nanoscale Res Lett       Date:  2014-01-15       Impact factor: 4.703

9.  High temporal resolution measurements of dopamine with carbon nanotube yarn microelectrodes.

Authors:  Christopher B Jacobs; Ilia N Ivanov; Michael D Nguyen; Alexander G Zestos; B Jill Venton
Journal:  Anal Chem       Date:  2014-05-28       Impact factor: 6.986

Review 10.  Recent Advances in In Vivo Neurochemical Monitoring.

Authors:  Chao Tan; Elaine M Robbins; Bingchen Wu; Xinyan Tracy Cui
Journal:  Micromachines (Basel)       Date:  2021-02-18       Impact factor: 2.891

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