基于CHA-FICA系统的肺炎支原体16S rRNA快速简便检测。

IF 5.3 2区 化学 Q1 CHEMISTRY, ANALYTICAL
Shijie Cai, Yuming Yao, Yaya Chen, Gulinaizhaer Abudushalamua, Shuo Ma, Jiwei Wang, Chen Zhang, Xun Gao, Guoqiu Wu
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引用次数: 0

摘要

基于催化发夹组装(CHA)技术和地高辛-生物素双标记荧光免疫层析(FICA)条带,建立了一种快速、灵敏、可靠的16S核糖体RNA (16S rRNA)检测方法。通过CHA实现的信号放大避免了对昂贵的热循环设备的依赖。该方法在不含酶的情况下可在1 h内得到结果,最低检出限可达1 pM。它具有良好的特异性,能有效区分靶序列和非靶序列。经成人样本和儿童样本验证,发现CHA-FICA检测结果与PCR检测结果高度一致,具有临床应用潜力,有望用于肺炎支原体(mycoplasma pneumoniae, MP)感染的临床筛查和治疗检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid and facile detection of Mycoplasma pneumoniae 16S rRNA based on CHA-FICA system

Mycoplasma pneumoniae (MP) is a major a rapid, sensitive and reliable method for the detection of 16S ribosomal RNA (16S rRNA) was developed based on catalytic hairpin assembly (CHA) technology and digoxine-biotin double-labeled fluorescence immunochromatography (FICA) strip. The signal amplification achieved by CHA avoids the dependence on expensive thermal cycling equipment. The method can obtain the results within 1 h in the absence of an enzyme, and the minimum detection limit can reach 1 pM. It has good specificity and can effectively distinguish target sequences from non-target sequences. After verification with adult samples and pediatric samples, it was found that CHA-FICA detection was highly consistent with those of PCR detection, indicating that it has clinical application potential and is expected to be used in clinical screening and treatment detection of mycoplasma pneumoniae (MP) infection.

Graphical Abstract

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来源期刊
Microchimica Acta
Microchimica Acta 化学-分析化学
CiteScore
9.80
自引率
5.30%
发文量
410
审稿时长
2.7 months
期刊介绍: As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.
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