将人工智能集成到生物传感器中,以便更好地检测食源性病原体
Riza Jane S Banicod1, Nazia Tabassum2,3, Du-Min Jo4
1Fisheries Postharvest Research and Development Division, National Fisheries Research and Development Institute, Quezon City 1128, Philippines.
Biosensors
|October 28, 2025
概括
人工智能 (AI) 增强生物传感器,用于检测食源性病原体,提高食品安全的准确性和速度. 这种人工智能集成解决了传统方法的局限性,用于在不同类型的食品中可靠地在现场检测病原体.
科学领域:
- 食品安全科学 食品安全科学
- 生物传感器技术的技术
- 人工智能应用的人工智能应用.
背景情况:
- 食物传播的病原体对公共健康构成重大风险,需要先进的检测方法.
- 传统的生物传感器在复杂的食物矩阵,信号解释和现场应用方面面临着挑战.
- 人工智能 (AI) 集成为克服这些局限性提供了一个有希望的解决方案.
研究的目的:
- 审查人工智能辅助生物传感器在食品传播病原体检测方面的最新进展.
- 突出AI在改善各种食物类型生物传感器性能方面的作用.
- 讨论人工智能在食品安全方面的挑战和未来方向.
主要方法:
- 关于人工智能辅助生物传感对食源性病原体的最新文献的综述.
- 机器学习和深度学习应用在生物传感器开发中的分析.
- 通过人工智能增强的不同生物传感机制 (电化学,光学,压电) 的检查.
主要成果:
- 人工智能显著提高了生物传感器的准确性,灵敏度和食物传播病原体的检测速度.
- 人工智能可以实现自动化数据解释和实时现场分析.
- 人工智能优化了各种生物传感平台和食物矩阵的性能.
结论:
- 人工智能辅助的生物传感器代表了对食品安全监测的变革性方法.
- 解决数据质量,算法透明度和监管接受方面的挑战至关重要.
- 未来的工作应该集中在标准化数据集和可解释的AI上,以进行强大的验证和广泛采用.
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