Simultaneous Detection of Multiple Quality Parameters of Pork Based on Fused Dual Band Spectral
WANG Wen-xiu1, PENG Yan-kun1*, XU Tian-feng1, LIU Yuan-yuan1，2
1. National Research and Development Center for Agro-processing Equipment, College of Engineering, China Agricultural University, Beijing 100083, China 2. College of Mechanic and Electrical Engineering, Tarim University, Alar 843300, China
Abstract：For dual band visible/near infrared spectroscopy system (350~1 100 and 1 000~2 500 nm), there exsits a band overlap and for the same sample the reflectivity data were unlike due to the performance difference between instruments. A band connection and data fusion method was proposed in this paper to make better use of the dual-band data. A dual-band visible/near-infrared spectroscopy system was built in the study to collect 60 pork samples’ reflectance spectra. The reflectance spectra of samples were performed with pretreatment methods of Savitzky-Golay (S-G) and standard normal variable transform to eliminate the spectral noise. Then partial least squares regression (PLSR) prediction models of pork quality attributes (color, pH and cooking loss) based on single-band spectrum and dual-band spectrum were established, respectively. For the cross of two band overlap, the data were connected and integrated using the method put forward in this paper and then PLSR models were established based on the integrated data. The PLSR model yielded prediction result with correlation coefficient of validation (Rp) of 0.948 8, 0.920 0, 0.950 5, 0.930 1 and 0.903 5 for L*, a*, b*, pH value and cooking loss, respectively. To simplify the model, uninformative variables elimination (UVE) was employed to select characteristic variables. The experimental results show that the proposed method was able to achieve a better fusion of the two band spectral data, and it was good for the establishment of a more simplified and better prediction model.
王文秀1，彭彦昆1*，徐田锋1，刘媛媛1，2 . 双波段光谱融合的猪肉多品质参数同时检测方法研究 [J]. 光谱学与光谱分析, 2016, 36(12): 4001-4005.
WANG Wen-xiu1, PENG Yan-kun1*, XU Tian-feng1, LIU Yuan-yuan1，2 . Simultaneous Detection of Multiple Quality Parameters of Pork Based on Fused Dual Band Spectral . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(12): 4001-4005.
[1] Huang Qiping, Chen Quansheng, Li Huanhuan, et al. Journal of Food Engineering, 2015, 154：69. [2] ElMasry G, Sun D, Allen P. Journal of Food Engineering, 2012, 110：127. [3] Su Huawei, Sha Kun, Zhang Li, et al. Meat Science, 2014, 98：110. [4] ZHANG Hai-yun, PENG Yan-kun, WANG Wei, et al(张海云，彭彦昆，王 伟，等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2013, 44(4)：146. [5] SHI Li-an, GUO Hui, PENG Yan-kun, et al(石力安，郭 辉，彭彦昆，等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2015, 46(7)：203. [6] ZHANG Lei-lei, PENG Yan-kun, LIU Yuan-yuan, et al(张雷蕾，彭彦昆，刘媛媛，等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2013, 44(Supp. 1)：159. [7] CHU Xiao-li, YUAN Hong-fu, LU Wan-zhen(褚小立，袁洪福，陆婉珍). Progress in Chemistry(化学进展), 2004, 16(4)：528. [8] TIAN Kuang-da, QIU Kai-xian, LI Zu-hong, et al(田旷达，邱凯贤，李祖红，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2014, 34(12)：3262. [9] LI Qian-qian, TIAN Kuang-da, LI Zu-hong, et al(李倩倩，田旷达，李祖红，等). Chinese Journal of Analytical Chemistry(分析化学), 2013, 41(6)：917. [10] CHEN Bin, CHEN Dan(陈 斌，陈 蛋). Spectrum Instrument and Analysis(光谱仪器与分析), 2005, 25(4)：26. [11] Porep Jan U, Kammerer Dietmar R, Carle Reinhold. Trends in Food Science & Technology, 2015, 46：211.
