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当前位置: 首页 > 文章 > Mining hyperspectral data for non-destructive and rapid prediction of nitrite content in ham sausages 国际农业与生物工程学报 2021,14 (2)
Position: Home > Articles > Mining hyperspectral data for non-destructive and rapid prediction of nitrite content in ham sausages International Journal of Agricultural and Biological Engineering 2021,14 (2)

Mining hyperspectral data for non-destructive and rapid prediction of nitrite content in ham sausages

作  者：
Yun Zhu;Hongbin He;Shengqi Jiang;Haile Ma;Fusheng Chen;Baocheng Xu;Liu Hong;Meifang Zhu;Shengming Zhao;Zhuang‐Li Kan
单  位：
College of Grain, Oil, and Food, Henan University of Technology, Zhengzhou 450000, China;School of Food Science, Henan Institute of Science and Technology, Xinxiang 453003, Henan, China;College of Food & Bioengineering, Henan University of Science and Technology, Luoyang 471003, Henan, China.;School of Food Science, Henan Institute of Science and Technology, Xinxiang 453003, Henan, Chin;Key Laboratory of the Ministry of Education of Tropical Medicine, Hainan Normal University, Haikou 570203, China;1. School of Food Science, Henan Institute of Science and Technology, Xinxiang 453003, Henan, China;#R##N#2. Henan Institute of Science and Technology, Postdoctoral Research Base, Xinxiang 453003, Henan, China
关键词：
nm;hyperspectral data;nitrite content;rapid prediction;destructive;8
摘  要：
Accurate and rapid determination of nitrite contents is an important step for guaranteeing sausage quality. This study attempted to mine hyperspectral data in the range of 900-1700 nm for non-destructive and rapid prediction of nitrite contents in sausages. The average spectra of 156 samples were collected to relate to the measured nitrite values by partial least squares (PLS) regression. Optimal wavelengths were respectively selected by successive projections algorithm (SPA) and regression coefficients (RC) to simplify the PLS model. The results indicated that PLS model established with 15 optimal wavelengths (900.5 nm, 907.1 nm, 908.8 nm, 912.1 nm, 915.4 nm, 920.3 nm, 922.0 nm, 941.7 nm, 979.6 nm, 1083.2 nm, 1213.2 nm, 1353.0 nm, 1460.2 nm, 1595.6 nm and 1699.9 nm) selected by SPA had better performance with r(C), r(CV), r(P) of 0.92, 0.89, 0.89 and RMSEC, RMSECV, RMSEP of 0.41 mg/kg, 0.89 mg/kg, 0.49 mg/kg, respectively, for calibration set, cross-validation and prediction set. It was concluded that hyperspectral data could be mined by PLS & SPA for realizing the rapid evaluation of nitrite content in ham sausages.

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