journal article·2024-04-03

Quasicrystal Nanosheet/α-Fe2O3 Heterostructure-Based Low Power NO2 Sensors: Experimental and DFT Studies

Sumit Kumar, Mirabbos Hojamberdiev, Anyesha Chakraborty, Rahul Mitra, Rajneesh Chaurasiya, Monika Kwoka, Chandra Sekhar Tiwary, Krishanu Biswas, Mahesh Kumar

ACS Applied Materials & Interfaces· Volume 16· Issue 13
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Abstract

Industrial emissions, environmental monitoring, and medical fields have put forward huge demands for high-performance and low power consumption sensors. Two-dimensional quasicrystal (2D QC) nanosheets of metallic multicomponent Al 70 Co 10 Fe 5 Ni 10 Cu 5 have emerged as a promising material for gas sensors due to their excellent catalytic and electronic properties. Herein, we demonstrate highly sensitive and selective NO 2 sensors developed by low-cost and scalable fabrication techniques using 2D QC nanosheets and α-Fe 2 O 3 nanoparticles. The sensitivity (Δ R / R %) of the optimal amount of 2D QC nanosheet-loaded α-Fe 2 O 3 sensor was 32%, which is significantly larger about 3.5 times than bare α-Fe 2 O 3 sensors for 1 ppm of NO 2 at 150 °C operating temperature. The sensors exhibited p-type conduction, and resistance was reduced when exposed to NO 2, an oxidizing gas. The enhanced sensing characteristics are a result of the formation of nanoheterojunctions between 2D QC and α-Fe 2 O 3, which improved the charge transport and provided a large sensing signal. In addition, the heterojunction sensor demonstrated excellent NO 2 selectivity over other oxidizing and reducing gases. Furthermore, density functional theory calculation examines the adsorption energy and charge transfer between NO 2 molecules on the α-Fe 2 O 3 (110) and QC/α-Fe 2 O 3 (110) heterostructure surfaces, which coincides well with the experimental results.
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Research context

OpenAlex topics: Nanocluster Synthesis and Applications · Copper-based nanomaterials and applications · Gold and Silver Nanoparticles Synthesis and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical Engineering, Indian Institute of Technology Jodhpur, Jodhpur 342030, India

Institut für Chemie, Technische Universität Berlin, Straße des 17, Juni 135, Berlin 10623, Germany

Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India

Department of Materials Science and Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India

Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai 601103, India

Department of Cybernetics, Nanotechnology and Data Processing, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland

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