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基于人工智能的成像转码系统,用于多重查可活性的食物传播病原体.

Niu Feng¹, Shu Wang², Luyu Wei¹

¹College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.

Analytical chemistry

|May 26, 2023

概括

使用人工智能转码 (SMART) 的新传感方法快速检测到蛋中的多种可行的食源性病原体. 这种由人工智能驱动的测试可以区分活细菌和死细菌,改善食品安全,而不需要DNA放大.

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科学领域:

食品安全和公共卫生问题
微生物学微生物学
人工智能的人工智能

背景情况:

多重检测可活性的食源性病原体至关重要,但目前的方法面临挑战.
现有的测试通常涉及成本,复杂性,灵敏性和特异性的权衡.
在病原体检测中,区分活体和死体细菌仍然是一个重大障碍.

研究的目的:

开发一种快速,灵敏和多重检测方法,用于检测食物传播病原体.
为了利用人工智能来增强病原体概况.
为了在食品样本中区分活体和死体细菌.

主要方法:

开发了一种使用人工智能转码 (SMART) 的传感方法.
使用可编程聚乙烯 (PS) 微球用于病原体编码和信号生成.
利用人工智能计算机视觉训练解码PS微球属性用于病原体识别.
集成的菌体引导向,用于生/死细菌的区分.

主要成果:

从蛋样本中快速同时检测到低于10^2 CFU/mL的多种细菌.
在不需要DNA放大的情况下表现出高灵敏度和特异性.
与标准的微生物学和基因型检测方法有很强的一致性.
通过使用开发的试验,成功地区分了活体和死体细菌.

结论:

智能测定提供了一种新的,高效的方法,用于多重检测可活性的食物传播病原体.
这种人工智能驱动的方法克服了现有测试的局限性,提高了食品安全诊断.
区分活菌与死菌的能力为公共卫生风险评估提供了关键的见解.