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在储存期间损坏的Korla香梨的衰老质量的同步检测方法

Jingchi Guo^1,2,3, Hao Niu^1,2,3, Yang Liu^1,2,3

¹Modern Agricultural Engineering Key Laboratory at Universities of Education Department of Xinjiang Uygur Autonomous Region, Tarim University, Alaer, China.

Frontiers in plant science

|February 23, 2026

概括

机械损伤加快了梨的衰老,但这项研究开发了一个支持向量回归 (SVR) 模型,使用关键的酶和氧化应激指标准确预测水果质量退化.

科学领域:

农业科学农业科学
生物化学生物化学
食品科学食品科学食品科学

背景情况:

科拉香易受机械损伤,导致色,衰老和失去商业价值.
了解和预测水果衰老对于尽量减少收获后损失至关重要.

研究的目的:

用酶和氧化应激标志物评估受损梨的衰老质量.
开发和优化用于储存期间损坏梨老化的预测模型.

主要方法:

测量了超氧化脱酶 (SOD),酶 (CAT) 和过氧化酶 (POD) 活动,以及超氧化离子 (O2^-.) 生成率和过氧化 (H2O2) 含量.
研究了在储存期间不同程度的损伤的梨中这些指标的变化.
构建并比较了部分最小平方回归 (PLSR),支向量回归 (SVR) 和长短期记忆 (LSTM) 模型用于衰老预测.

主要成果:

所有测量的衰老指标 (SOD,CAT,POD,O2,H2O2) 随着储存时间和更高的损伤水平而增加.
支持向量回归 (SVR) 多输出模型表现出优异的预测性能.
在所有关键衰老指标的预测中,SVR模型实现了0.95以上的R^2值.

结论:

SVR模型提供了一种有效的方法,用于同步检测受损的梨老化质量.
这些发现为研究水果衰老机制和质量评估提供了理论基础.

关键词:

科拉芳香的梨 Korla香味的梨.伤害的伤害的伤害的伤害.衰老是一种老化.储存储存储存储存储存是一个同步检测的同步检测.

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