在水产供应链中追踪微生物危害:挑战,技术和未来方向
Jiayi Zhang1,2, Tian Ding1,2,3, Juhee Ahn1,2
1Future Food Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, Zhejiang, China.
Frontiers in nutrition
|October 17, 2025
概括
可追溯性技术,包括基因组测序和人工智能,提高了水产品中的微生物安全性. 整合这些工具可以改善污染的检测和应对,确保更安全的海鲜供应链.
科学领域:
- 食品科学与技术 食品科学与技术
- 微生物学 微生物学
- 公共卫生 公共卫生
背景情况:
- 水产品是重要的蛋白质来源,但由于全球贸易和不同的法规,它们面临微生物污染的风险.
- 污染导致食源性疾病和海鲜行业的重大经济损失.
研究的目的:
- 系统地审查可追溯性技术,以提高水产品中的微生物安全性.
- 强调基因组测序,人工智能 (AI) 和数字监测系统的整合.
主要方法:
- 绩效指标的评估:检测灵敏度,源归因分辨率和结果的时间.
- 对人工智能与基因组测序集成的分析,用于微生物源预测.
- 对各种水产养殖环境的可访问性和可扩展性的评估.
主要成果:
- 可追溯系统可实现实时监控和对污染事件的快速响应.
- 基因组测序和人工智能显著提高了食品安全管理中的检测速度和准确性.
- 人工智能将WGS数据转化为机器学习模型,以快速预测微生物来源.
结论:
- 可追溯技术有效地提高了水产品中的微生物安全性.
- 挑战包括小型生产商的技术障碍,分散的标准和公众意识的低水平.
- 未来的努力应集中在具有成本效益的工具,全球标准化和公众参与,以改善食品安全.
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