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Prediction Model of Chilling Injury Combined with Quadratic-Orthogonal-Rotation-Combination Design Technique for Postharvest Cucumber Fruit during Cold Storage

机译:冷藏后黄瓜果实冷害预测模型与二次正交旋转组合技术相结合

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Cucumber fruit is susceptible to chilling injury (CI) which results in the cellular structure damage of fruit during low temperature storage. However, visual symptoms of chilling injury may not be observed when they were taken out from low temperature. In this study, the critical value of chilling injury for postharvest cucumber fruit during low temperature storage was investigated. The thermal conductivities of cucumber fruit were determined using a specifically designed thermal conductivity probe system. Combined with the quadratic-orthogonal-rotation-combination design technique, a prediction model based on the chilling injury detection indicators from the ratio of thermal conductivity of cucumber fruit was developed and the critical value of chilling injury detection indicator was identified. Verification test was shown that the suggested prediction model was suitable to estimate safe storage temperature and safe storage time by calculating the critical value for preventing chilling injury. Furthermore, it might be beneficial to provide the potential application of method for chilling injury detection in other cold sensitive fruit.
机译:黄瓜果实易受冷害(CI)的影响,导致低温储存期间水果的细胞结构受损。但是,从低温中取出时,可能不会观察到冷害的视觉症状。在这项研究中,研究了低温贮藏期间黄瓜采后冷害的临界值。使用专门设计的热导探针系统确定黄瓜果实的热导率。结合二次正交旋转组合设计技术,建立了基于黄瓜果实热导率比的冷害检测指标预测模型,确定了冷害检测指标的临界值。验证测试表明,建议的预测模型适合通过计算防止冷害的临界值来估计安全储存温度和安全储存时间。此外,在其他冷敏感水果中提供冷害检测方法的潜在应用可能是有益的。

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