通过RPA-CRISPR/Cas12a-G4色度测试快速,便携和敏感地检测CaMV35S,并具有高精度的深度学习对象识别和分类

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Xuheng Li¹, Meilin Liu¹, Dianhui Men¹

¹Key Laboratory for Biological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.

|June 26, 2024

概括

我们开发了一种快速,便携式测试方法,用于检测转基因生物体中的CaMV35S促进体. 这种方法使用RPA-CRISPR/Cas12a技术和深度学习进行高精度,低成本的食品安全分析.

科学领域:

生物技术是生物技术.
分子诊断学分子诊断
食品科学食品科学食品科学

背景情况:

准确检测基因改造对于农业安全和食品安全至关重要.
现有的检测特定DNA序列的方法,如CaMV35S促进子,可能耗时且需要专门的设备.

研究的目的:

开发一种灵敏,快速和便携式的方法来检测CaMV35S促进体.
集成深度学习算法,用于对测试结果的智能分析.

主要方法:

开发一种与CRISPR/Cas12a和G-quadruplex色度测定相结合的复合聚合酶放大 (RPA).
利用Cas12a在G-quadruplex-hemin复合体上的附带裂解活动来产生色度信号.
训练深度学习算法 (Yolov5和Resnet) 来准确分类色度测量结果并与智能手机应用程序进行合.

主要成果:

实现了对CaMV35S的检测极限,降至10个心口 (aM).
在45分钟内成功检测到样本中仅有0.01%的基因修饰.
深度学习算法在痕迹检测方面表现出比视觉检查更高的准确性.
使用智能手机应用程序展示了便携式和快速的照片识别.

结论:

开发的RPA-CRISPR/Cas12a-G4试验为CaMV35S促进体检测提供了一个低成本 (0.43美元),高精度和智能解决方案.
这项技术使得敏感,快速和便携式的基因改造分析成为可能,从而提高了食品安全和农业安全.

关键词:

这就是CRISPR/Cas12a.在 CaMV35S 里面.计算机视觉计算机视觉计算机视觉深度学习是一种深度学习.复合酶聚合酶放大复合酶的放大.

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