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核酸试纸条检测方法研究进展*
引用本文:孙萌,郜晶,秦雪怡,郭颖然,贾蕊,侯立功,罗淑颖,张耀东,张现伟,张万存.核酸试纸条检测方法研究进展*[J].中国生物工程杂志,2022,42(12):69-78.
作者姓名:孙萌  郜晶  秦雪怡  郭颖然  贾蕊  侯立功  罗淑颖  张耀东  张现伟  张万存
作者单位:1 郑州大学附属儿童医院 河南省儿童遗传代谢性疾病重点实验室 郑州 4500182 河南省儿童医院郑州儿童医院生物样本库 郑州 4500183 濮阳市中医院检验科 濮阳 457001
基金项目:*中国博士后科学基金面上项目(2020M672301);河南省科技攻关计划资助项目(222102310109);河南省科技攻关计划资助项目(222102310270)
摘    要:凝胶电泳、实时荧光PCR等常规核酸检测方法存在操作繁琐、设备昂贵、反应时间长等局限性。随着核酸检测市场规模的大幅提升,常规检测方法已无法满足临床诊断、检验检疫的需求。核酸试纸条(nucleic acid detection strip,NADS)是一种新兴的核酸检测方法,具有灵敏度高、操作便捷、结果可视化、成本低且耗时短等优势,在基础研究与临床诊断等领域受到广泛关注。综述近年来NADS的检测方法及研究进展,系统总结该技术的原理、应用及临床潜在转化价值,以期为NADS的进一步开发、利用提供借鉴。

关 键 词:核酸试纸条  核酸检测  灵敏度  可视化检测  
收稿时间:2022-06-01

Progress of Nucleic Acid Detection Strip Detection Approaches
SUN Meng,GAO Jing,QIN Xue-yi,GUO Ying-ran,JIA Rui,HOU Li-gong,LUO Shu-ying,ZHANG Yao-dong,ZHANG Xian-wei,ZHANG Wan-cun.Progress of Nucleic Acid Detection Strip Detection Approaches[J].China Biotechnology,2022,42(12):69-78.
Authors:SUN Meng  GAO Jing  QIN Xue-yi  GUO Ying-ran  JIA Rui  HOU Li-gong  LUO Shu-ying  ZHANG Yao-dong  ZHANG Xian-wei  ZHANG Wan-cun
Abstract:With the growth of the nucleic acid testing market, conventional nucleic acid detection approaches such as gel electrophoresis and quantitative real-time PCR (qPCR) have gradually failed to meet the needs of clinical analysis, inspection and quarantine due to their limitations (cumbersome operation, expensive equipment, long reaction time and so on). Nucleic acid detection strip (NADS), a new nucleic acid detection approach with the advantages of high sensitivity, convenient operation, visualization of results, low cost and short time consuming, has attracted extensive attention in basic research and clinical diagnosis. The new progress of NADS in the past ten years was systematically introduced. Meanwhile, the principle, advantages and clinical potential translation value of NADS were summarized in order to provide reference for the further development and utilization of nucleic acid detection strip.
Keywords:Nucleic acid detection strip (NADS)  Nucleic acid detection  Sensitivity  Visualization detection  
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