环介导等温扩增
微流控
核酸
多路复用
分子信标
核酸法
核酸检测
条形码
生物传感器
计算机硬件
多路复用
微流控芯片
墨盒
数字聚合酶链反应
化学
DNA
嵌入式系统
检出限
计算机科学
分析物
分子诊断学
注意事项
放大器
计算生物学
寡核苷酸
核酸定量
多重位移放大
重组酶聚合酶扩增
纳米技术
生物信息学
生物
工程类
操作系统
材料科学
生物化学
机械工程
电信
作者
Weili Chen,Hojeong Yu,Fu Sun,Akid Ornob,Ryan Brisbin,Anurup Ganguli,Vinay Vemuri,Piotr Strzebonski,Guangzhe Cui,Karen J. Allen,Smit Desai,Weiran Lin,David M. Nash,David L. Hirschberg,Ian S. Brooks,Rashid Bashir,Brian T. Cunningham
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2017-08-18
卷期号:89 (21): 11219-11226
被引量:86
标识
DOI:10.1021/acs.analchem.7b02478
摘要
New tools are needed to enable rapid detection, identification, and reporting of infectious viral and microbial pathogens in a wide variety of point-of-care applications that impact human and animal health. We report the design, construction, and characterization of a platform for multiplexed analysis of disease-specific DNA sequences that utilizes a smartphone camera as the sensor in conjunction with a hand-held "cradle" that interfaces the phone with a silicon-based microfluidic chip embedded within a credit-card-sized cartridge. Utilizing specific nucleic acid sequences for four equine respiratory pathogens as representative examples, we demonstrated the ability of the system to utilize a single 15 μL droplet of test sample to perform selective positive/negative determination of target sequences, including integrated experimental controls, in approximately 30 min. Our approach utilizes loop-mediated isothermal amplification (LAMP) reagents predeposited into distinct lanes of the microfluidic chip, which when exposed to target nucleic acid sequences from the test sample, generates fluorescent products that when excited by appropriately selected light emitting diodes (LEDs), are visualized and automatically analyzed by a software application running on the smartphone microprocessor. The system achieves detection limits comparable to those obtained by laboratory-based methods and instruments. Assay information is combined with the information from the cartridge and the patient to populate a cloud-based database for epidemiological reporting of test results.
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