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在非冷藏条件下使用机器学习方法保护蛋质量的生物活性涂层
Junior Gonçalves Soares1, Suélen Serafini1, Fernanda Picoli2
1Department of Food and Chemical Engineering, Santa Catarina State University, Pinhalzinho, SC 89870-000, Brazil.
Foods (Basel, Switzerland)
|March 14, 2026
概括
使用pectin和Cordia verbenacea提取物的一种新型生物活性涂层可以在不需要冷藏的情况下保持食用蛋的质量. 这种可持续技术显著降低了微生物负载,并保持了更高的霍格单位,以提高食品安全.
科学领域:
- 食品科学 食品科学 食品科学
- 农业科学 农业科学
- 生物技术是生物技术.
背景情况:
- 发展中国家缺乏冷链,这影响了蛋的保存.
- 在环境条件下保持蛋的质量和安全是一个关键的挑战.
研究的目的:
- 开发和评估使用果果和Cordia verbenacea提取物用于非冷藏的食用蛋的生物活性涂层.
- 评估涂层对25天内蛋质量参数的影响.
主要方法:
- 使用不同度的Cordia verbenacea水性提取物的涂层配方.
- 评估物理,化学和微生物卵子质量参数.
- 使用主要组件分析 (PCA) 和随机森林 (RF) 建模的统计分析.
主要成果:
- 与对照组 (C级) 相比,所有涂层蛋都显示出明显更高的豪格单位 (B级).
- 在100%提取物治疗组中,蛋上的微生物负荷降至零.
- 射频模型准确地对治疗进行了分类 (97.06%),确定了微生物负载和霍格单位作为关键的质量预测指标.
结论:
- 基于点丁的生物活性涂层有效地延长了在非冷藏条件下食用蛋的保质期.
- 这项技术提供了一种可持续的,低成本的解决方案,用于在缺乏冷却的地区提高蛋的安全性和可销售性.
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