Droplet Encoding‐Pairing Enabled Multiplexed Digital Loop‐Mediated Isothermal Amplification for Simultaneous Quantitative Detection of Multiple Pathogens

Bibliographic Details
Title: Droplet Encoding‐Pairing Enabled Multiplexed Digital Loop‐Mediated Isothermal Amplification for Simultaneous Quantitative Detection of Multiple Pathogens
Authors: Dongyang Cai, Yu Wang, Jingjing Zou, Zhujun Li, Enqi Huang, Xiuyun Ouyang, Zhiquan Que, Yanzhang Luo, Zhenhua Chen, Yanqing Jiang, Guohao Zhang, Hongkai Wu, Dayu Liu
Source: Advanced Science, Vol 10, Iss 7, Pp n/a-n/a (2023)
Publisher Information: Wiley, 2023.
Publication Year: 2023
Collection: LCC:Science
Subject Terms: droplet encoding‐pairing, droplet microfluidics, machine learning algorithm, multiplexed droplet digital nucleic acid analysis, quantitative detection of pathogens, Science
More Details: Abstract Despite the advantages of digital nucleic acid analysis (DNAA) in terms of sensitivity, precision, and resolution, current DNAA methods commonly suffer a limitation in multiplexing capacity. To address this issue, a droplet encoding‐pairing enabled DNAA multiplexing strategy is developed, wherein unique tricolor combinations are deployed to index individual primer droplets. The template droplets and primer droplets are sequentially introduced into a microfluidic chip with a calabash‐shaped microwell array and are pairwise trapped and merged in the microwells. Pre‐merging and post‐amplification image analysis with a machine learning algorithm is used to identify, enumerate, and address the droplets. By incorporating the amplification signals with droplet encoding information, simultaneous quantitative detection of multiple targets is achieved. This strategy allows for the establishment of flexible multiplexed DNAA by simply adjusting the primer droplet library. Its flexibility is demonstrated by establishing two multiplexed (8‐plex) droplet digital loop‐mediated isothermal amplification (mddLAMP) assays for individually detecting lower respiratory tract infection and urinary tract infection causative pathogens. Clinical sample analysis shows that the microbial detection outcomes of the mddLAMP assays are consistent with those of the conventional assay. This DNAA multiplexing strategy can achieve flexible high‐order multiplexing on demand, making it a desirable tool for high‐content pathogen detection.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2198-3844
Relation: https://doaj.org/toc/2198-3844
DOI: 10.1002/advs.202205863
Access URL: https://doaj.org/article/c289d688fb7548d79f6449497c6518cf
Accession Number: edsdoj.289d688fb7548d79f6449497c6518cf
Database: Directory of Open Access Journals
More Details
ISSN:21983844
DOI:10.1002/advs.202205863
Published in:Advanced Science
Language:English