使用人工智能检测食品中的真菌毒素污染:一篇评论
Ashish Aggarwal1, Akanksha Mishra1, Nazia Tabassum2,3
1School of Bioengineering and Biosciences, Lovely Professional University, Phagwara 144001, Punjab, India.
Foods (Basel, Switzerland)
|October 26, 2024
概括
人工智能 (AI) 提供了一种革命性的方法来检测食物中的真菌毒素,提高准确性和速度. 这篇评论探讨了人工智能.
科学领域:
- 食品科学与技术 食品科学与技术
- 分析化学 分析化学
- 计算生物学 计算生物学
背景情况:
- 食品中毒素污染对全球健康构成重大风险.
- 传统的检测方法 (例如,染色谱-质谱) 是准确的,但劳动密集型.
- 人工智能 (AI) 为毒素检测提供了一个新,高度准确和可信的替代方案.
研究的目的:
- 审查人工智能应用在食品真菌毒素检测方面的最新进展.
- 探索人工智能与智能传感和非传统技术的整合.
- 为应对基于AI的真菌毒素分析的挑战和未来方向.
主要方法:
- 对利用人工智能用于真菌毒素识别的最新研究进行审查.
- 分析人工智能技术,包括深度学习,机器学习和神经网络.
- 检查AI与光谱,生物传感器和成像技术的整合.
主要成果:
- 人工智能方法显示出高精度和超越传统技术的潜力.
- 人工智能可以有效地与智能传感和非传统分析平台相结合.
- 人工智能可以更快,更轻松地检测食品中的真菌毒素.
结论:
- 人工智能有可能改变真菌毒素监测系统,以提高食品安全.
- 解决数据要求,标准化和监管批准是人工智能采用的关键.
- 多学科合作对于推进人工智能支持的真菌毒素检测至关重要.
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