Glucose Oxidase/Cellulose–Carbon Nanotube Composite Paper as a Biocompatible Bioelectrode for Biofuel Cells View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-11

AUTHORS

Keehoon Won, Young-Hoo Kim, Seulji An, Hye Jung Lee, Saerom Park, Yong-Keun Choi, Ji Hyeon Kim, Hak-In Hwang, Hyung Joo Kim, Hyungsup Kim, Sang Hyun Lee

ABSTRACT

Biofuel cells are devices for generating electrical energy directly from chemical energy of renewable biomass using biocatalysts such as enzymes. Efficient electrical communication between redox enzymes and electrodes is essential for enzymatic biofuel cells. Carbon nanotubes (CNTs) have been recognized as ideal electrode materials because of their high electrical conductivity, large surface area, and inertness. Electrodes consisting entirely of CNTs, which are known as CNT paper, have high surface areas but are typically weak in mechanical strength. In this study, cellulose (CL)-CNT composite paper was fabricated as electrodes for enzymatic biofuel cells. This composite electrode was prepared by vacuum filtration of CNTs followed by reconstitution of cellulose dissolved in ionic liquid, 1-ethyl-3-methylimidazolium acetate. Glucose oxidase (GOx), which is a redox enzyme capable of oxidizing glucose as a renewable fuel using oxygen, was immobilized on the CL-CNT composite paper. Cyclic voltammograms revealed that the GOx/CL-CNT paper electrode showed a pair of well-defined peaks, which agreed well with that of FAD/FADH2, the redox center of GOx. This result clearly shows that the direct electron transfer (DET) between the GOx and the composite electrode was achieved. However, this DET was dependent on the type of CNTs. It was also found that the GOx immobilized on the composite electrode retained catalytic activity for the oxidation of glucose. More... »

PAGES

1194-1202

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12010-013-0188-0

DOI

http://dx.doi.org/10.1007/s12010-013-0188-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031730970

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23508863


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