Low-dimensional composite material based on modified graphene and metal oxide for high-performance chemical sensors

12 Sept 2019, 09:10
20m

Speaker

Vardan Galstyan (Sensor Lab, Department of Information Engineering, University of Brescia)

Description

Low-dimensional chemical sensors based on metal oxides have received great attention for the applications in security and medical diagnoses. Transition oxide nanomaterials exhibit promising sensing performance owing to their large surface area and good chemical stability. However, the sensing performance of these materials have yet to reach to their full potential in capabilities and usage. The fabrication of composite materials based on metal oxides is an effective way to enhance their sensing properties. TiO2 nanotubes (TNTs) have received extensive attention for gas sensing applications due to their large surface area, unique physical and chemical properties. Graphene with its modified forms, high specific surface area and excellent electronic properties can revolutionize performances of the functional devices. Herein, we report an efficient strategy to improve the sensing properties of TNTs. We fabricated composite structures by coupling of TNTs and modified-graphene. The morphological, structural and elemental analyses of samples were carried out. The sensing properties of obtained materials were tested towards H2, NH3, CO, ethanol and acetone (Fig. 1). We studied the effect of each material on the sensing performance of composite structures. The studies have shown the variation of mixture material concentration and the modification of graphene layers have a crucial effect on the response and the selectivity of the obtained composite materials. The obtained results demonstrate that we have developed an efficient method for the preparation of composite structures and the obtained materials can be applied for the fabrication of high-performance sensing systems.

Topic 11. Physical and Chemical Sensors

Primary authors

Vardan Galstyan (Sensor Lab, Department of Information Engineering, University of Brescia) Dr Andrea Ponzoni (CNR - National Institute of Optics (INO)) Dr Iskandar Kholmanov (Department of Mechanical Engineering, The University of Texas at Austin) Dr Marta M. Natile (CNR-Institute of Condensed Matter Chemistry and Technologies for Energy, Department of Chemical Sciences, University of Padova) Prof. Antonella Glisenti (CNR-Institute of Condensed Matter Chemistry and Technologies for Energy, Department of Chemical Sciences, University of Padova) Prof. Giorgio Sberveglieri (Sensor Lab, Department of Information Engineering, University of Brescia) Prof. Elisabetta Comini (Sensor Lab, Department of Information Engineering, University of Brescia)

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