Machine Learning-Assisted, Dual-Channel CRISPR/Cas12a Biosensor-In-Microdroplet for Amplification-Free Nucleic Acid Detection for Food Authenticity Testing

The development of novel detection technology for meat species authenticity is imperative. Here, we developed a machine learning-supported, dual-channel biosensor-in-microdroplet platform for meat species authenticity detection named CC-drop (<u>C</u>RISPR/Cas12a digital single-molecule...

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Bibliographic Details
Main Author:	Zhiying Zhao (188792) (author)
Other Authors:	Roumeng Wang (20368408) (author), Xinqi Yang (20368411) (author), Jingyu Jia (3916778) (author), Qiang Zhang (45005) (author), Shengying Ye (10009736) (author), Shuli Man (2939550) (author), Long Ma (133810) (author)
Published:	2024
Subjects:	Biochemistry Medicine Microbiology Molecular Biology Science Policy Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified within 80 min strategy allowed us stander reporter single smartphone app coupled rapid food authenticity nucleic acid signals nucleic acid detections meat species authenticity food authenticity testing drop (< u deep processed meat based fluorescence lighting c </ u ultralocalized microdroplet reactor novel detection technology cas12a digital single trans </ nd1 </ 2 </ result time reaction volume quickly identify microdroplet platform machine learning image recording fluorescent readouts fluorescent intensity even render derived components counting number conventional real analyze animal aforementioned reaction accurately detect >- cleavage
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Machine Learning-Assisted, Dual-Channel CRISPR/Cas12a Biosensor-In-Microdroplet for Amplification-Free Nucleic Acid Detection for Food Authenticity Testing

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