Research on the Forecast Model of Total Viable Count on Bacon Based on Hyper spectral Imaging Technique

被引：0
|
作者：
Zhao, Junhua [1 ]
Guo, Peiyuan [1 ]
Xu, Pan [1 ]
Liu, Shuo [1 ]
Yang, Kuncheng [1 ]
机构：
[1] Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing 100048, Peoples R China
来源：
INTERNATIONAL SEMINAR ON APPLIED PHYSICS, OPTOELECTRONICS AND PHOTONICS (APOP 2016) | 2016年 / 61卷
关键词：
bacon; total viable count; hyper spectral imaging; interval optimization least-squares; QUALITY; ATTRIBUTES;
D O I：
10.1051/matecconf/20166102009
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The total viable count (TVC) in bacon overweight can cause serious damage to human health. In order to find a rapid and nondestructive method of TVC, hyper spectral imaging technique was applied to quantitatively analysis of TVC on bacon. Comprehensively comparing the pretreatment method of multiple scattering, derivative method and so on, finally the multiple scattering for pretreatment was used. And the interval optimization method of least squares model was set up to predict, and get a good prediction results. The correlation coefficient of the calibration and predictions respectively was 0.808 and 0.808, interactive authentication root mean square error was 0.115 and 0.198 respectively. Therefore, hyper spectral imaging technique combining iPLS can be used for the rapid detection of TVC on bacon.
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页数：5
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