Journal
JOURNAL OF ALLOYS AND COMPOUNDS
Volume 692, Issue -, Pages 855-864Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.jallcom.2016.09.103
Keywords
Tin dioxide; Ni-dopant; Microcube; Microsphere; Porous; Gas sensor
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Funding
- National Nature Science Foundation of China [61203212, 21105001, 21471005]
- Priority Research Centers Program [NRF-2014R1A6A1031189]
- Basic Science Research Program [NRF-2015R1D1A1A09060292]
- National Research Foundation of Korea (NRF) - Ministry of Education, Republic of Korea
- National Research Foundation of Korea [2015R1D1A1A09060292, 2014R1A6A1031189] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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Porous Ni-doped SnO2 microspheres and microcubes were obtained via a facile chemical solution route followed by calcination and acid-washing process. Their structural and morphological evolution was characterized using a range of techniques. The process of inducing porosity began with crystalline single-phase NiSn(OH)(6) precursors formed by the co-precipitation of metal ions from an aqueous solution. Thermal decomposition of the precursors led to an intimate mixture of cubic phase NiO and tetragonal phase SnO2. The Ni-doped SnO2 microspheres and microcubes were obtained after a simple acid-washing process. A decomposition-aggregation-dissolution process was proposed to explain the formation of these structures. The gas-sensing properties of the as-prepared porous Ni-doped SnO2 microspheres and microcubes for toxic volatile organic compounds, such as formaldehyde, ethanol, benzene, methanol, acetone, and toluene, were investigated. The enhanced sensing performance of the porous Ni-doped SnO2 microspheres was demonstrated. The detection limits of formaldehyde and ethanol were approximately 0.17 and 0.09 ppm (signal-to-noise ratio, S/N = 3), respectively. The enhanced sensing performance of the porous Ni-doped SnO2 microspheres was attributed to their Ni-dopant, unique porous structure and large surface area. (C) 2016 Elsevier B. V. All rights reserved.
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