Share Email Print
cover

Proceedings Paper

Nondestructive detection of total viable count changes of chilled pork in high oxygen storage condition based on hyperspectral technology
Author(s): Xiaochun Zheng; Yankun Peng; Yongyu Li; Kuanglin Chao; Jianwei Qin
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The plate count method is commonly used to detect the total viable count (TVC) of bacteria in pork, which is timeconsuming and destructive. It has also been used to study the changes of the TVC in pork under different storage conditions. In recent years, many scholars have explored the non-destructive methods on detecting TVC by using visible near infrared (VIS/NIR) technology and hyperspectral technology. The TVC in chilled pork was monitored under high oxygen condition in this study by using hyperspectral technology in order to evaluate the changes of total bacterial count during storage, and then evaluate advantages and disadvantages of the storage condition. The VIS/NIR hyperspectral images of samples stored in high oxygen condition was acquired by a hyperspectral system in range of 400~1100nm. The actual reference value of total bacteria was measured by standard plate count method, and the results were obtained in 48 hours. The reflection spectra of the samples are extracted and used for the establishment of prediction model for TVC. The spectral preprocessing methods of standard normal variate transformation (SNV), multiple scatter correction (MSC) and derivation was conducted to the original reflectance spectra of samples. Partial least squares regression (PLSR) of TVC was performed and optimized to be the prediction model. The results show that the near infrared hyperspectral technology based on 400-1100nm combined with PLSR model can describe the growth pattern of the total bacteria count of the chilled pork under the condition of high oxygen very vividly and rapidly. The results obtained in this study demonstrate that the nondestructive method of TVC based on NIR hyperspectral has great potential in monitoring of edible safety in processing and storage of meat.

Paper Details

Date Published: 1 May 2017
PDF: 6 pages
Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 102170S (1 May 2017); doi: 10.1117/12.2262515
Show Author Affiliations
Xiaochun Zheng, China Agricultural Univ. (China)
Yankun Peng, China Agricultural Univ. (China)
Yongyu Li, China Agricultural Univ. (China)
Kuanglin Chao, Agricultural Research Service (United States)
Jianwei Qin, Agricultural Research Service (United States)


Published in SPIE Proceedings Vol. 10217:
Sensing for Agriculture and Food Quality and Safety IX
Moon S. Kim; Kuanglin Chao; Bryan A. Chin; Byoung-Kwan Cho, Editor(s)

© SPIE. Terms of Use
Back to Top