预测储存期间新鲜食品质量变化的实证模型
Reham Abdullah Sanad Alsbu1, Prasad Yarlagadda2, Azharul Karim1
1School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4001, Australia.
Foods (Basel, Switzerland)
|June 10, 2023
概括
水果的质量,包括坚硬性和减肥,在储存期间会降低. 较低的温度 (2°C) 将果质量损失最小化,预测模型可以根据时间和温度准确预测这些变化.
科学领域:
- 农业科学 农业科学
- 食品科学 食品科学 食品科学
- 园艺科学 园艺科学
背景情况:
- 果实质量属性,如坚硬度和减肥,对于评估收获后价值至关重要.
- 这些属性受到运输和储存条件的重大影响.
- 基于储存参数预测水果质量变化的研究有限.
研究的目的:
- 研究不同冷却温度对四种果品种质量属性的影响.
- 开发一个预测模型,以预测果在储存过程中因温度和时间而发生的质量变化.
主要方法:
- 在奶奶史密斯,皇家嘉拉,粉红女士和红色美味果中对减肥和坚的实验分析.
- 在2°C至8°C的控制温度下储存.
- 开发和验证一个多重回归模型来预测质量属性.
主要成果:
- 在所有品种中,随着时间的推移,坚度持续下降,在较低的温度 (2°C) 中下降速度较慢.
- 体重减轻随着时间的推移而增加,显示出强烈的相关性.
- 开发的预测模型在预测质量变化方面表现出极好的准确性 (R2 = 0.9544).
结论:
- 温度显著影响果的坚硬度,2°C是最有效的保质量.
- 开发的多重回归模型为预测储存期间果质量提供了可靠的工具.
- 水果行业的利益相关者可以利用这个模型来预测质量变化和优化储存策略.
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