Research PapersNo Access

A Systematic Study of the Catalytic Behavior at Enzyme–Metal-Oxide Nanointerfaces

Alan S. Campbell

Department of Chemical Engineering, West Virginia University, Morgantown, WV, USA

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Chenbo Dong

Department of Chemical Engineering, West Virginia University, Morgantown, WV, USA

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Andrew Maloney

Department of Chemical Engineering, West Virginia University, Morgantown, WV, USA

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Jeremy Hardinger

Department of Chemical Engineering, West Virginia University, Morgantown, WV, USA

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Xiao Hu

Department of Chemical Engineering, West Virginia University, Morgantown, WV, USA

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Fanke Meng

Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, USA

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Anthony Guiseppe-Elie

Center for Bioelectronics, Biosensors and Biochips (C3B), Clemson University Advanced Materials Center, 100 Technology Drive, Anderson, South Carolina 29625, USA

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Nianqiang Wu

Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, USA

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, and

Cerasela Zoica Dinu

Department of Chemical Engineering, West Virginia University, Morgantown, WV, USA

Corresponding author.

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https://doi.org/10.1142/S1793984414500056Cited by:13 (Source: Crossref)

Abstract

Metal-oxide nanoparticles with high surface area, controllable functionality and thermal and mechanical stability provide high affinity for enzymes when the next generation of biosensor applications are being considered. We report on the synthesis of metal-oxide-based nanoparticles (with different physical and chemical properties) using hydrothermal processing, photo-deposition and silane functionalization. Physical and chemical properties of the user-synthesized nanoparticles were investigated using scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX), and Raman scattering, respectively. Thus, characterized metal-oxide-based nanoparticles served as nanosupports for the immobilization of soybean peroxidase enzyme (a model enzyme) through physical binding. The enzyme–nanosupport interface was evaluated to assess the optimum nanosupport characteristics that preserve enzyme functionality and its catalytic behavior. Our results showed that both the nanosupport geometry and its charge influence the functionality and catalytic behavior of the bio-metal-oxide hybrid system.

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