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Journal of Sensors
Volume 2016, Article ID 1830843, 7 pages
http://dx.doi.org/10.1155/2016/1830843
Research Article

Rapid and Accurate Identification of Adulterants via an Electronic Nose and DNA Identification Platform: Identification of Fake Velvet Antlers as an Example

School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 6, Wang Jing Zhong Huan South Street, Chaoyang District, Beijing 100102, China

Received 19 June 2015; Revised 26 October 2015; Accepted 27 October 2015

Academic Editor: Kourosh Kalantar-Zadeh

Copyright © 2016 Guojie Xu 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.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Xiaolong Shao, Wei Song, Fei Shen, Peng Liu, Xuesong Jiang, and Zhongmin Wan, “Recognition of harmful fungal species and quantitative detection of fungal contamination in peanuts based on electronic nose technology,” Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, vol. 32, no. 24, pp. 297–302, 2016. View at Publisher · View at Google Scholar