%0 Journal Article
%T The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared Spectroscopy
%A Li
%A Chengji
%A Xu
%A Defang
%A Zhang
%A Shujuan
%A Zhao
%A Fei
%A Zhao
%A Huamin
%J -
%D 2020
%R https://doi.org/10.1155/2020/1402965
%X A kinetic model based on visible/near-infrared spectroscopy of the peel brittleness of ¡°Xintian-125¡± Cucumis melons, the research object, stored under room temperature, was established in order to realize real-time monitoring of the peel brittleness of Cucumis melons and for prediction of storage time. The NIR and peel brittleness of melons stored for 1, 4, and 7 days were collected and measured. SG was confirmed to be the best pretreatment by comparing the PLS models established with 4 pretreatment methods, and the differences of the prediction set determination coefficient and root-mean-square were 0.818 and 23.755, respectively. CARS and SPA were adopted to extract the feature wavelengths and establish the peel brittleness of PLS prediction model. The model¡¯s prediction accuracy was 0.919, and the prediction root-mean-square was 25.413, indicating that NIR is able to realize the prediction of the peel brittleness of Cucumis melons. As a result, a NIR-based peel brittleness kinetic model was created. The value of the regression model was less than 0.001, and the model¡¯s correlation coefficient was 0.8503, showing that the model is of extreme significance and high precision. The zero-order reaction equation was overfitted according to the variation tendency of the average peel brittleness of stored melons. The model¡¯s correlation coefficient was 0.981, the standard error was 4.624, and the linear relation between the stored period and NIR was established based on it. The research proves that the NIR-based technology is able to realize quick and loss-free inspection of melons¡¯ peel brittleness and prediction of the stored period
%U https://www.hindawi.com/journals/jspec/2020/1402965/