College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
ACS Nano. 2024 Nov 12;18(45):31174-31187. doi: 10.1021/acsnano.4c09069. Epub 2024 Nov 1.
Multiple and ultrasensitive detection of pathogenic bacteria is critical but remains a challenge. Here, we introduce a digital assay for multiplexed and target DNA amplification-free detection of pathogenic bacteria using botryoidal-like fluorescent polystyrene dots (PS-dots), which were first prepared through the hybridization reaction between primer exchange reaction chains and polystyrene nanospheres that encapsulated polymer dots for signal preamplification. The pathogenic bacteria's DNA was cleavaged by the argonaute (Ago) protein-mediated multiple and precise cleavage reactions, where the obtained target sequences bridged the magnetic beads (MBs) and botryoidal-like PS-dots via a hybridization reaction, and the fluorescent MB-botryoidal PS-dot complexes were utilized as digital probes based on colors and sizes for digital encoding. An artificial-intelligence-fluorescent microsphere counting algorithm was applied to identify and count the fluorescent MBs for digital readout. This digital assay combined the ultrabright botryoidal-like PS-dots with Ago's precise enzyme cleavage properties, achieving simultaneous detection of three pathogenic bacteria with a linearity range from 10 to 10 CFU/mL without target DNA amplification within 1.5 h. This digital assay has also been applied to detect aquatic and clinical samples with accepted accuracy (98%), which offers an avenue for a next-generation multiplexed digital platform for pathogenic bacteria analysis.
多重和超敏检测病原体是至关重要的,但仍然是一个挑战。在这里,我们介绍了一种数字分析方法,用于使用类似葡萄状的荧光聚苯乙烯点(PS 点)对病原体进行多重和无靶 DNA 扩增检测,该方法首先通过引物交换反应链与聚苯乙烯纳米球之间的杂交反应来制备,其中封装聚合物点用于信号预扩增。致病细菌的 DNA 被 Argonaute(Ago)蛋白介导的多重和精确切割反应切割,其中获得的靶序列通过杂交反应桥接磁珠(MB)和类似葡萄状的 PS 点,并且荧光 MB-类似葡萄状 PS 点复合物被用作数字探针,基于颜色和大小进行数字编码。应用人工智能荧光微球计数算法来识别和计数荧光 MB 以进行数字读取。这种数字分析方法结合了超亮类似葡萄状的 PS 点和 Ago 的精确酶切割特性,实现在 1.5 小时内无需靶 DNA 扩增即可同时检测三种病原体,线性范围为 10 到 10 CFU/mL。该数字分析方法还已应用于检测水生和临床样本,具有可接受的准确性(98%),为下一代病原体分析的多重数字平台提供了一种途径。