Logo image
Graphene-based nanomaterials as efficient peroxidase mimetic catalysts for biosensing applications: An overview
Journal article   Open access   Peer reviewed

Graphene-based nanomaterials as efficient peroxidase mimetic catalysts for biosensing applications: An overview

Bhaskar Garg, Tanuja Bisht and Yong-Chien Ling
Molecules, Vol.20(8), pp.14155-14190
01/08/2015

Abstract

Biosensing and diagnostics Enzyme mimetics Graphene Graphene oxide Graphene-based nanomaterials Heterogeneous catalysts Hydrogen peroxide Peroxidases Tetramethylbenzidine
"Artificial enzymes", a term coined by Breslow for enzyme mimics is an exciting and promising branch of biomimetic chemistry aiming to imitate the general and essential principles of natural enzymes using a variety of alternative materials including heterogeneous catalysts. Peroxidase enzymes represent a large family of oxidoreductases that typically catalyze biological reactions with high substrate affinity and specificity under relatively mild conditions and thus offer a wide range of practical applications in many areas of science. The increasing understanding of general principles as well as intrinsic drawbacks such as low operational stability, high cost, difficulty in purification and storage, and sensitivity of catalytic activity towards atmospheric conditions of peroxidases has triggered a dynamic field in nanotechnology, biochemical, and material science that aims at joining the better of three worlds by combining the concept adapted from nature with the processability of catalytically active graphene-based nanomaterials (G-NMs) as excellent peroxidase mimetic catalysts. This comprehensive review discusses an up-to-date synthesis, kinetics, mechanisms, and biosensing applications of a variety of G-NMs that have been explored as promising catalysts to mimic natural peroxidases.
url
https://doi.org/10.3390/molecules200814155View
Published (Version of record) Open

Related links

Metrics

1 Record Views

Details

Logo image