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摘要
In order to realize the real-time monitoring of hardness and predict the storage life of fresh jujubes in storage periods at room temperature, a kinetic model of hardness according to near-infrared (NIR) spectroscopy was established. The influence of integrated thickness on storage life of jujubes was explored using two dimensional correlation spectroscopy technology and the sensitive bands influenced by integrated thickness of 904, 980, 1 072, 1 200, 1 630, 1 941 and 2 215 nm respectively. The average hardness of the jujube pulp per day during storage was analyzed and then a zero level reaction equation was fitted, which was A = 0.549 8-0.009 6A(0)-0.023 2t. The result showed that the correlation coefficient of the zero level reaction was 0.991 3 and the standard error was 6.116 x 10(-4). The content of main material changed during storage because of the complex physiological and chemical reaction in the fresh jujube fruits. And this is represented through spectral characteristics and hardness. Coupled the spectral information in the sensitive band and the hardness index of the storage period, a partial least squares (PLS) model of jujube flesh hardness was established. The prediction precision of the model was 0.942 7, and the root mean squared error of prediction (RMSEP) was 0.021 0. And then, a kinetic model of jujube flesh hardness according to near-infrared (NIR) spectroscopy (A = 0.549 8-0.009 6(0.793 6+0.655 1X(1) - 3.804 2X(2) + 2.372 2X(3) - 1.884 2X(4) + 3.637 3X(5) - 1.041 7X(6) - 1.327 8X(7)) - 0.023 2t) was established through multivariate regression analysis, in which the spectral reflectances of characteristic bands are independent variables and the hardness indexes of jujube fruits are dependent variables. The correlation coefficient of this model was 0.983 9 and standard error was 0.024 9. The linear relation between storage life and near-infrared(NIR) spectroscopy was found to be t = 23.698 2 - 0.413 8(0.793 6 + 0.655 1X(1) - 3.804 2X(2) + 2.372 2X(3) - 1.884 2X(4) + 3.637 3X(5) - 1.041 7X(6) - 1.327 8X(7)) - 43.103 4(0.793 6 + 0.655 1X(1t) - 3.804 2X(2t) + 2.372 2X(3t) - 1.884 2X(4t) + 3.637 3X(5t) - 1.041 7X(6t) - 1.327 8X(7t)). The study shows that the near-infrared (NIR) spectroscopy technology that combining kinetic model of hardness can realize rapidly nondestructive testing of jujube flesh hardness index and the prediction of the storage time.
- 出版日期2018-3
- 单位山西农业大学
