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

2022; Elsevier BV; Volume: 362; Linguagem: Inglês

10.1016/j.snb.2022.131737

1873-3077

Hồ Văn Minh Hải, Nguyễn Đức Cường, Hien Duy, Hoang Thai Long, Tran Quy Phuong, Tran Khoa Dang, Viet Thong Le, Nguyễn Ngọc Việt, Nguyễn Văn Hiếu,

Electrochemical sensors and biosensors

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-Fe 2 O 3 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-Fe 2 O 3 nanocubes possess a large specific surface area and high porosity, which arise from the self-assembly of ultrafine nanoparticles. The 3D ultra-porous γ-Fe 2 O 3 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-Fe 2 O 3 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-Fe 2 O 3 nanocubes was derived from Prussian Blue template. • 3D ultra-porous γ-Fe 2 O 3 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.