Bimetallic Fe15Pt85 nanoparticles as an effective anodic electrocatalyst for non-enzymatic glucose/oxygen biofuel cell

被引:19
作者
Navaee, Aso [1 ]
Narimani, Mozhdeh [1 ]
Korani, Azam [1 ]
Ahmadi, Rezgar [2 ]
Salimi, Abdollah [1 ,2 ]
Soltanian, Saied [3 ]
机构
[1] Univ Kurdistan, Dept Chem, Sanandaj 6617715175, Iran
[2] Univ Kurdistan, Res Ctr Nanotechnol, Sanandaj 6617715175, Iran
[3] Univ British Columbia, Dept Elect & Comp Engn, 2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
关键词
Enzyme-less; Glucose oxidation; Anode; Bimetallic Fe15Pt85 nanoparticles; Biofuel cell; OXYGEN REDUCTION; FUEL-CELL; GRAPHENE OXIDE; OXIDATION; METHANOL; ELECTROOXIDATION; PERFORMANCE; CATALYSTS; ACID;
D O I
10.1016/j.electacta.2016.05.033
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
The present work describes an abiotic energy harvesting strategy from electrocatalytic glucose oxidation based on bimetallic FePt nanoparticles (NPs) with a unique onset oxidation potential of -0.63 V vs. Ag/AgCl and a maximum current density of 3.7 mA cm(-2) at the physiological-like condition (pH 7.4). At first, the effect of Fe proportion and particle size on the electrocatalytic activity is investigated and it is found that the small size of Fe15Pt85 have the highest activity toward glucose oxidation. For the proposed abiotic system the cathode material is constructed from nitrogen doped graphene decorated with Pt NPs. The anode material is prepared via a simple one-step co-precipitation method and the cathode material was synthesized through a one-pot electrochemical synthesis route. The morphology, crystal structure and chemical composition of prepared nanostructure materials are characterized by various techniques. Based on the polarization profile and power density plot the designed glucose biofuel cell has an open-circuit potential of 0.64 V and provides a maximum power density of 95 mu W cm(-2) at a cell voltage of 0.44 V. Such abiotic glucose fuel cells have a great promise to be optimized, miniaturized to power bioimplantable devices without utilizing any complex system. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:325 / 333
页数:9
相关论文
共 38 条
[11]   A KINETIC, ANALYSIS OF THE ELECTROOXIDATION OF ETHANOL AT A PLATINUM-ELECTRODE IN ACID-MEDIUM [J].
HITMI, H ;
BELGSIR, EM ;
LEGER, JM ;
LAMY, C ;
LEZNA, RO .
ELECTROCHIMICA ACTA, 1994, 39 (03) :407-415
[12]  
Jiang DE, 2013, GRAPHENE CHEMISTRY: THEORETICAL PERSPECTIVES, P1
[13]   A biofuel cell based on two immiscible solvents and glucose oxidase and microperoxidase-11 monolayer-functionalized electrodes [J].
Katz, E ;
Filanovsky, B ;
Willner, I .
NEW JOURNAL OF CHEMISTRY, 1999, 23 (05) :481-487
[14]   Energy harvesting by implantable abiotically catalyzed glucose fuel cells [J].
Kerzenmacher, S. ;
Ducree, J. ;
Zengerle, R. ;
von Stetten, F. .
JOURNAL OF POWER SOURCES, 2008, 182 (01) :1-17
[15]   Challenges in biocatalysis for enzyme-based biofuel cells [J].
Kim, J ;
Jia, HF ;
Wang, P .
BIOTECHNOLOGY ADVANCES, 2006, 24 (03) :296-308
[16]   Porous Platinum Electrodes Fabricated by Cyclic Electrodeposition of PtCu Alloy: Application to Implantable Glucose Fuel Cells [J].
Kloke, Arne ;
Koehler, Christian ;
Zengerle, Roland ;
Kerzenmacher, Sven .
JOURNAL OF PHYSICAL CHEMISTRY C, 2012, 116 (37) :19689-19698
[17]   Magnetic properties of FePt nanoparticle assemblies embedded in atomic-layer-deposited Al2O3 [J].
Kong, Ji-Zhou ;
Gong, You-Pin ;
Li, Xue-Fei ;
Li, Ai-Dong ;
Zhang, Jun-Long ;
Yan, Qing-Yu ;
Wu, Di .
JOURNAL OF MATERIALS CHEMISTRY, 2011, 21 (13) :5046-5050
[18]   Highly Catalytic Macroporous Au-/nPts Hybrid Electrode for Nonenzymatic Glucose Biofuel Cell Applications [J].
Lee, Yi Jae ;
Park, Jae Yeong .
2010 IEEE SENSORS, 2010, :1875-1878
[19]   A direct glucose alkaline fuel cell using MnO2-carbon nanocomposite supported gold catalyst for anode glucose oxidation [J].
Li, Lei ;
Scott, Keith ;
Yu, Eileen Hao .
JOURNAL OF POWER SOURCES, 2013, 221 :1-5
[20]  
Moulder J. F., 1995, Handbook of X-ray Photoelectron Spectroscopy. A Reference Book of Standard Spectra for Identification and Interpretation of XPS Data