用近红外光谱分析储存期间果内部质量变化的分析
Yande Liu1, Siwei Lv1, Xiaogang Jiang1
1Institute of Intelligent Mechanical and Electrical Equipment Innovation, East China Jiaotong University, Nanchang 330013, China.
Foods (Basel, Switzerland)
|April 26, 2025
概括
近红外光谱学准确地预测了储存期间果质量的变化. 模型确定了不同果品种和条件的最佳储存期,确保在成熟前达到新鲜度的峰值.
科学领域:
- 农业科学 农业科学
- 食品科学 食品科学 食品科学
- 频谱学是一种光谱学.
背景情况:
- 果的质量在储存过程中降低,影响消费者价值.
- 预测最佳储存时间对于保持果质量至关重要.
研究的目的:
- 通过近红外光谱学评估储存期间果内部质量变化.
- 为各种品种和条件开发最佳果储存期的预测模型.
主要方法:
- 近红外光谱分析了384个果样本 (四个品种) 超过7周.
- 应用了预处理方法 (正常化,MSC,SNV) 和带选择 (CARS,UVE).
- 为了预测,构建了部分最小平方 (PLS) 回归模型.
主要成果:
- 溶性固体含量 (SSC) 和度变化因储存条件 (冷 versus 室温) 而有所不同.
- 最佳预测模型 (规范化-CARS-PLS) 实现了高准确性 (1°C糖的Rp 0.904,室温度的Rp 0.823).
结论:
- 近红外光谱学在储存期间有效监测果的内部质量.
- 预测模型可以指导不同果品种的最佳储存期,最大限度地减少收获后的损失.
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