Superior detection and classification of ethanol and acetone using 3D ultra-porous γ-Fe2O3 nanocubes-based sensor

• Published in: Sensors and actuators. B, Chemical Vol. 362; p. 131737
• Main Authors: Van Minh Hai, Ho, Cuong, Nguyen Duc, Mai, Hien Duy, Long, Hoang Thai, Phuong, Tran Quy, Dang, Tran Khoa, Thong, Le Viet, Viet, Nguyen Ngoc, Van Hieu, Nguyen
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 01.07.2022; Elsevier Science Ltd
• Subjects: Acetone; Algorithms; Discriminant analysis; Ethanol; Ferric oxide; Gas sensors; Linear discriminant analysis; Machine-learning; Nanocubes; Nanoparticles; Pigments; Porosity; Response time; Self-assembly; Surface area; Synthesis; Ultra-porous; Ultrafines; Ethanol; Nanocubes; Ultra-porous; Linear discriminant analysis; Gas sensors; Machine-learning; Acetone
• ISSN: 0925-4005; 1873-3077
• DOI: 10.1016/j.snb.2022.131737

The assembly of primary nanoparticles to form hierarchical ultra-porous architectures is of great interest in various fields because of their extremely large surface area and porosity. In this work, the 3D ultra-porous γ-Fe2O3 nanocubes were synthesized by a simple method, which was derived from perfect Prussian Blue nanocubes by the oxidative decomposition process. The as-synthesized 3D γ-Fe2O3 nanocubes possess a large specific surface area and high porosity, which arise from the self-assembly of ultrafine nanoparticles. The 3D ultra-porous γ-Fe2O3 nanocubes-based sensors showed superior detection of acetone and ethanol with excellent sensitivity and rapid response time. The fantastic gas-sensing platform of 3D γ-Fe2O3 nanocubes could originate from their unique structures and interesting gas-sensing mechanisms. The linear discriminant analysis (LDA) algorithm was effectively used to discriminate between acetone and ethanol. •The perfect Prussian Blue nanocubes was synthesized by a simple hydrothermal method.•The 3D ultra-porous γ-Fe2O3 nanocubes was derived from Prussian Blue template.•3D ultra-porous γ-Fe2O3 nanocubes sensor shows outstanding performance toward Acetone and Ethanol with rapid response time.•The machine learning algorithms was used as effective approach for calcification of Acetone and Ethanol.