Artificial Intelligence-Based Imaging Transcoding System for Multiplex Screening of Viable Foodborne Pathogens,Analytical Chemistry

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Artificial Intelligence-Based Imaging Transcoding System for Multiplex Screening of Viable Foodborne Pathogens
Analytical Chemistry ( IF 6.7 ) Pub Date : 2023-05-26 , DOI: 10.1021/acs.analchem.3c01142
Niu Feng ₁ , Shu Wang ₂ , Luyu Wei ₁ , Qinyu Wang ₃ , Xinrui Cheng ₁ , Peng Lu ₄ , Xuewen Peng ₁ , Xufeng Wang ₁ , Chen Zhan ₁ , Yiming Dong ₁ , Yiping Chen _{1,

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Affiliation

Multiplex detection of viable foodborne pathogens is critical for food safety and public health, yet current assays suffer trade-offs between cost, assay complexity, sensitivities, and the specificity between live and dead bacteria. We herein developed a sensing method using artificial intelligence transcoding (SMART) for rapid, sensitive, and multiplex profiling of foodborne pathogens. The assay utilizes the programmable polystyrene (PS) microspheres to encode different pathogens, inducing subsequent visible signals under conventional microscopy that can be analyzed using a customized, artificial intelligence-computer vision, which was trained to decode the intrinsic properties of PS microspheres to reveal the numbers and types of pathogens. Our approach enabled the rapid and simultaneous detection of multiple bacteria from egg samples of <10² CFU/mL without DNA amplification and showed strong consistency with the standard microbiologic and genotypic methods. We adopted our assay through phage-guided targeting to enable the discrimination between live and dead bacteria.

中文翻译：

基于人工智能的影像转码系统用于食源性致病菌的多重筛查

活的食源性病原体的多重检测对于食品安全和公众健康至关重要，但目前的检测在成本、检测复杂性、灵敏度以及活细菌和死细菌之间的特异性之间存在权衡。我们在此开发了一种使用人工智能转码 (SMART) 的传感方法，用于对食源性病原体进行快速、灵敏和多重分析。该测定利用可编程的聚苯乙烯 (PS) 微球对不同的病原体进行编码，在传统显微镜下诱导随后的可见信号，这些信号可以使用定制的人工智能计算机视觉进行分析，该视觉经过训练可以解码 PS 微球的内在特性以揭示病原体的数量和类型。我们的方法能够从 <10 个鸡蛋样本中快速同时检测多种细菌² CFU/mL，无 DNA 扩增，与标准微生物学和基因型方法具有很强的一致性。我们通过噬菌体引导的靶向采用我们的检测方法，以区分活细菌和死细菌。

更新日期：2023-05-26

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