(179e) Biomimetic Properties of Modified Graphene Oxide and Graphitic Carbon Nitride Nanomaterials for Biosensing Applications
AIChE Annual Meeting
2019
2019 AIChE Annual Meeting
Topical Conference: Sensors
Poster Session: General Poster Session in Sensors
Monday, November 11, 2019 - 3:30pm to 5:00pm
Biomimetics nanomaterials are gaining tremendous interest as biosensors due to the ease in their synthesis, easy modification and tuning of their structure and active sites, high stability and sensitivity. They are replacing enzymes as enzymes are high cost, less stable and difficult in handling. Further the research on the biomimetic nanomaterials is also focused to ease in handling and simplification of monitoring for point of care detection. Since the discovery of intrinsic peroxidase like activity of magnetite nanoparticles by Lizeng Gao et.al, in 2007, hunt for oxidase and peroxidase like activity of other nanomaterials started. In the quest of finding new materials, with superior biosensing properties, we started working on the study of biomimetic properties of metal oxides, carbon nitrides and graphene oxide. Graphitic carbon nitride is a hotspot in the material science due to its intrinsic chemical properties and have been used in catalysis, photocatalysis and in photoelectronics. It is also a promising material for modification to increase in electrical properties for making it more useful in its efficiency as a catalyst for different applications. Furthermore, since discovery graphene and its derivatives have been extensively used by researchers for different applications. In our research we used graphene oxide and carbon nitride as peroxidase mimic. We doped them different dopants to increase their electrical and surface properties by changing their particle size, surface area and chemical reactivity. Characterizations of the materials were done through various physical characterisation and techniques, to study the structure, morphology and band gap changes of samples. Peroxidase like activity was evaluated through hydrogen peroxide detection. Optimization of different condition and parameter were performed in order to get the best results. The results of our modified materials turned out to be very positive in terms of detection of hydrogen peroxide and other analysts.