Study on Discrimination of Three Dominant Spoilage Bacteria in Pork Based on Olfaction Visualization Technology
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    This paper proposed a method to detect three Dominant Spoilage Bacteria in pork based on olfaction visualization technique. At room temperature(20 ℃),cold(4 ℃) and freeze(-16 ℃)conditions,4 kinds of porphyrins were selected carefully to consist of visual sensors. The visual sensors was used to detect the pork sample which were infected three Dominant Spoilage Bacteria.The image processing techniques was used to collect images before and after the colorimetric sensor array interacted with pork svolatile flavors,then using principle components analysis(PCA) get digital signals which reflected the characteristics of pork sample flavors to discriminate above three Dominant Spoilage Bacteria. The detection results show that the recognition rates of the Pseudomonas koreensis group was achieved 98%,the Brochothrix thermosphacta group and Bacillus fusiformis group were achieved 100%. The research results show that olfaction visualization technology can discriminate three Dominant Spoilage Bacteria.

    Reference
    Related
    Cited by
Get Citation

ZOU Xiao-bo, GUO Ya-ning, SHI Ji-yong, HUANG Xiao-wei, HUANG Lin, LI Xin. Study on Discrimination of Three Dominant Spoilage Bacteria in Pork Based on Olfaction Visualization Technology[J]. Journal of Food Science and Biotechnology,2013,32(9):939-944.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: June 17,2014
  • Published:
Article QR Code

Copy Right:Editorial Board of Journal of Food Science and Biotechnology

Address:No. 1800, Lihu Avenue, Wuxi 214122, Jiangsu Province,China  PostCode:214122

Phone:0510-85913526  E-mail:xbbjb@jiangnan.edu.cn

Supported by:Beijing E-Tiller Technology Development Co., Ltd.

WeChat

Mobile website