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The Shelf-1ife Prediction of Sweet Orange Based on Its Total Soluble Solid by Using Arrhenius and Q 10 Approach

机译:通过使用Arrhenius和Q 10方法,基于其总可溶性固体的甜橙的货架 - 1IFE预测

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The information about shelf-1ife of sweet orange is necessary for its post-harvest handling to reduce the loss facing by farmers and sellers.The study aimed to observe if the Arrhenius and Q 10 models can be used to predict the shelf-1ife of sweet orange based on its total soluble solid(TSS).The fresh sweet oranges obtained from the market were stored at three extreme temperatures i.e.55,65,and 70°C.During the storage,the TSS was analyzed every hour,until the sweet oranges quality had decreased.The TSS was observed by using a hand digital refractometer.The TSS change in linear model was chosen to perform the Arrhenius model since its R-square value was higher than that of exponential model.The study had proved that there was a possibility of using the Arrhenius and Q 10 models to predict the shelf-1ife of sweet oranges based on its TSS contents.The Arrhenius model of TSS change was and the Q 10 value was 1.92.The real shelf-1ife of sweet orange at storage temperature 10°C was 18 days.The shelf-1ife of sweet orange at any storage temperatures can be predicted by,and as the results of drawing this prediction,the shelf-1ife of sweet orange can be simply calculated by,for more comfortable and easy purposes.However,the shelf-1ife prediction model of sweet orange should be improved by further study since it contains a relative error above 2%.For further study it is suggested to assure the TSS change at temperature 55°C as well as the ascorbic acid change in order to improve the shelf-1ife prediction of sweet oranges.
机译:关于甜橙的架子1ife的信息是其收获后处理所必需的,以减少农民和卖家面临的损失。该研究旨在观察到Arrhenius和Q 10型号可用于预测甜蜜的搁板1ife橙色总可溶性固体(TSS)。从市场获得的新鲜甜橙储存在三个极端温度IE55,65和70°C.捕获时,每小时分析TSS,直到甜橙质量减少了。通过使用手工数字折射仪观察到TSS。选择线性模型的TSS变化以执行Arrhenius模型,因为其R-Square值高于指数模型。事实证明,研究证明了使用Arrhenius和Q 10模型的可能性来预测基于其TSS内容的甜橙的搁板1ife。TSS变化的Arrhenius模型是1.92。储存温度下甜橙色的真正搁架1ife 10°C为18天.T他在任何储存温度下的甜橙色的货架 - 作为绘制这种预测的结果,可以简单地计算甜橙的搁板 - 1ife,以便以更加舒适和简便的目的。然而,货架 - 应通过进一步研究改善甜橙的1Feife预测模型,因为它含有高于2%的相对误差。进一步研究,建议确保TSS在55°C和抗坏血酸变化时变化,以改善甜橙的搁板1ife预测。

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