准备食用的鱼的加工和保质期预测模型
Qian Li1,2, Jieyu Lei1, Keying Su1,2
1School of Engineering, Guangzhou College of Technology and Business, Guangzhou 510850, China.
Foods (Basel, Switzerland)
|April 26, 2025
概括
这项研究优化了即食的生产,确定了最佳感官质量的最佳配方. 一个Arrhenius模型准确地预测了保质期,确保了储存期间的质量.
科学领域:
- 食品科学 食品科学 食品科学
- 食品化学 食品化学
- 微生物学 微生物学
背景情况:
- 准备食用的鱼需要精确的生产和储存条件来保持质量.
- 了解感觉和化学指标的降解动力学对于预测保质期至关重要.
研究的目的:
- 调查储存条件对准备食用的鱼品质的影响.
- 使用阿雷尼乌斯模型开发一种味的保质期预测模型.
- 为了确定最佳的配方,准备好吃的生产.
主要方法:
- 在储存4°C,25°C和37°C期间,监测了感官评价,pH,总挥发性基 (TVB-N),总活性计数 (TVC),酸值 (AV),弹性和硬度.
- 皮尔森相关性分析和动力模型 (零级,一级,二级) 应用于质量指标.
- 阿雷尼乌斯模型被用来开发一个保质期预测方程.
主要成果:
- 最佳的鱼配方 (0.12%的香料,0.80%的盐,70分钟的) 产生了最高的感官得分 (9.25),具有理想的质地和味道.
- 在TVB-N,TVC,AV,弹性和硬度之间发现了显著的相关性.
- TVB-N,AV和弹性遵循零阶动力学,而TVC和硬度遵循一阶动力学.
- 基于Arrhenius的保质期模型显示了9.1%的误差率,验证了其预测能力.
结论:
- 优化的配方显著提高了即食的感觉属性.
- 动力分析为关键质量指标的降解途径提供了洞察力.
- 开发的保质期模型提供了一个可靠的工具来预测的质量和延长保质期,支持智能储存和分销策略.
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