Preparation of Cd-Loaded In2O3 Hollow Nanofibers by Electrospinning and Improvement of Formaldehyde Sensing PerformanceReport as inadecuate




Preparation of Cd-Loaded In2O3 Hollow Nanofibers by Electrospinning and Improvement of Formaldehyde Sensing Performance - Download this document for free, or read online. Document in PDF available to download.

Journal of Nanomaterials - Volume 2014 2014, Article ID 431956, 7 pages -

Research ArticleSchool of Electronic Science and Technology, Dalian University of Technology, Dalian 116023, China

Received 27 September 2013; Accepted 27 January 2014; Published 5 March 2014

Academic Editor: Artde Donald Kin-Tak Lam

Copyright © 2014 Ruijin Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Pure In2O3 and Cd-loaded In2O3 hollow and porous nanofibers with different Cd-In molar ratios 1-20, 1-10, 1-1 were synthesized by electrospinning method. X-ray diffraction XRD, field emission scanning electron microscope FE-SEM, and transmission electron microscopy TEM were used to characterize the nanofibers. The porous nanofibers were composed of small grains. The average grain sizes and the diameters of Cd-loaded In2O3 nanofibers increased with the increasing of Cd-In molar ratios. The formaldehyde sensing properties of the sensors based on pure In2O3 and Cd-loaded In2O3 nanofibers were investigated in formaldehyde concentration range of 0.5∼100 ppm. Moreover, the selectivity of those sensors was studied by testing responses to methanol, toluene, ethanol, acetone, and ammonia. The result showed that Cd-loaded In2O3 nanofibers with Cd-In molar ratio of 1-10 possessed the highest response value and good selectivity at operating temperature 280°C. In addition, the formaldehyde sensing mechanism of the sensors based on Cd-loaded nanofibers was briefly analyzed.





Author: Ruijin Hu, Jing Wang, Pengpeng Chen, Yuwen Hao, Chunli Zhang, and Xiaogan Li

Source: https://www.hindawi.com/



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