Precipitated cobalt doped ZnO nanoparticles with enhanced low temperature xylene sensing properties

被引:45
作者
Godavarti, Umadevi [1 ,6 ]
Mote, V. D. [2 ]
Reddy, M. V. Ramana [3 ]
Nagaraju, P. [1 ]
Kumar, Y. Vijaya [4 ]
Dasari, Kalyana Tulasi [5 ]
Dasari, Madhava P. [6 ]
机构
[1] Dept Phys, CMR Tech Campus, Hyderabad 501401, Telangana, India
[2] Dayanand Sci Coll, Dept Phys, Thin Films & Mat Res Lab, Latur 413512, Maharashtra, India
[3] Osmania Univ, Dept Phys, Hyderabad, India
[4] North Carolina State Univ, Dept Text Engn Chem & Sci, Raleigh, NC 27695 USA
[5] Divis Labs Ltd, Unit 2, Visakhapatnam 531162, Andhra Pradesh, India
[6] Gitam Univ, GIT, Dept Phys, Visakhapatnam, Andhra Pradesh, India
关键词
Nanoparticles; Chemical synthesis; ZnO; Ferromagnetism; Gas sensor; GAS SENSOR; MAGNETIC-PROPERTIES; CO; FERROMAGNETISM; PERFORMANCE; NANORODS;
D O I
10.1016/j.physb.2018.10.034
中图分类号
O469 [凝聚态物理学];
学科分类号
070205 ;
摘要
Metal oxide nanoparticles are fabricated by co-precipitation method. The structural, morphological, optical and room temperature magnetic studies are discussed and outlined the end results along with sensing properties of ZnO and Co doped ZnO nanoparticles. Further, insights of theoretical and experimental aspects analogous with such systems are also discussed. Photoluminescence property indicates that cobalt doping improves the formation of Oxygen species which results in the enhancement of the magnetism and sensor response. The sensitive and selective detection of p-Xylene, particularly distinguishing between Ethanol and Acetone can be attributed to the tuned catalytic activity of Cobalt components, which induce preferential dissociation of p-Xylene into more active species, as well as the substantial increase of resistance with the variation in the nearby chemical environment because of large formation of Schottky barriers. This confirms that Co doped ZnO nanoparticles found to be a good candidate for detecting p-Xylene gas at low concentrations as well as at low optimum temperature.
引用
收藏
页码:151 / 160
页数:10
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