| 光谱学与光谱分析 |
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| Logistics Process Safety System of Table Grapes Based on NIR |
| CHEN Xiao-yu1, 2, ZHANG Xiao-shuan1, 2, ZHU Zhi-qiang3, ZHANG Peng3, 4, MU Wei-song1, 2* |
1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
2. Beijing Laboratory of Food Quality and Safety, China Agricultural University, Beijing 100083, China
3. National Engineering Technology Research Center for Preservation of Agricultural Products, Tianjin 300384, China
4. Tianjin Key Laboratory of Agricultural Products Postharvest Physiology and Storage, Tianjin 300384, China |
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Abstract In view of the actual logistics process of table grapes and the situation that fresh keeping agents based on sulfur dioxide are commonly used in table grape logistics, we studied the shelf life prediction method of table grapes under 4 temperatures and constant concentrations of sulfur dioxide based on near infrared spectrum (NIR) and the evolution of texture in this work. Logistics process safety system based on shelf life prediction was designed to reduce the loss of table grapes in the logistics. The change of texture is an important cause of postharvest table grapes to end their shelf life in postharvest logistics. In this work, we used SO2 concentration sensors to control solenoid valves, and obtained the set SO2 concentrations by automatic compensation mechanism. The evolutions of table grape texture under different concentrations of sulfur dioxide were studied as well as the influence of temperature. The NIR pretreatment effects of multiplicative scatter correction and the first S-G derivation were compared. The table grape texture nondestructive testing model built base on NIR and partial least squares regression achieved a determination coefficient of 0.93 and the root mean squared error (RMSE) was 1.70. In full cross-validation, the prediction accuracy reached to 0.81 and got a RMSE of 2.91. Research indicated that the NIR detection combined with the quality change modeling and information technology could be used to improve the logistics process safety management efficiency of postharvest fruits and vegetables.
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Received: 2015-08-01
Accepted: 2015-12-15
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Corresponding Authors:
MU Wei-song
E-mail: wsmu@cau.edu.cn
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