Suppr超能文献

一种用于即时护理核酸检测的集成式纸质样本到答案生物传感器。

An integrated paper-based sample-to-answer biosensor for nucleic acid testing at the point of care.

作者信息

Choi Jane Ru, Hu Jie, Tang Ruihua, Gong Yan, Feng Shangsheng, Ren Hui, Wen Ting, Li XiuJun, Wan Abas Wan Abu Bakar, Pingguan-Murphy Belinda, Xu Feng

机构信息

The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, PR China.

Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, PR China and MOE Key Laboratory of Multifunctional Materials and Structures (LMMS), School of Aerospace, Xi'an Jiaotong University, Xi'an 710049, PR China.

出版信息

Lab Chip. 2016 Feb 7;16(3):611-21. doi: 10.1039/c5lc01388g.

Abstract

With advances in point-of-care testing (POCT), lateral flow assays (LFAs) have been explored for nucleic acid detection. However, biological samples generally contain complex compositions and low amounts of target nucleic acids, and currently require laborious off-chip nucleic acid extraction and amplification processes (e.g., tube-based extraction and polymerase chain reaction (PCR)) prior to detection. To the best of our knowledge, even though the integration of DNA extraction and amplification into a paper-based biosensor has been reported, a combination of LFA with the aforementioned steps for simple colorimetric readout has not yet been demonstrated. Here, we demonstrate for the first time an integrated paper-based biosensor incorporating nucleic acid extraction, amplification and visual detection or quantification using a smartphone. A handheld battery-powered heating device was specially developed for nucleic acid amplification in POC settings, which is coupled with this simple assay for rapid target detection. The biosensor can successfully detect Escherichia coli (as a model analyte) in spiked drinking water, milk, blood, and spinach with a detection limit of as low as 10-1000 CFU mL(-1), and Streptococcus pneumonia in clinical blood samples, highlighting its potential use in medical diagnostics, food safety analysis and environmental monitoring. As compared to the lengthy conventional assay, which requires more than 5 hours for the entire sample-to-answer process, it takes about 1 hour for our integrated biosensor. The integrated biosensor holds great potential for detection of various target analytes for wide applications in the near future.

摘要

随着即时检测(POCT)技术的进步,人们已探索将侧向流动分析(LFA)用于核酸检测。然而,生物样品通常成分复杂且目标核酸含量低,目前在检测前需要繁琐的芯片外核酸提取和扩增过程(例如基于试管的提取和聚合酶链反应(PCR))。据我们所知,尽管已有将DNA提取和扩增整合到纸质生物传感器中的报道,但尚未证明LFA能与上述步骤相结合以实现简单的比色读数。在此,我们首次展示了一种集成的纸质生物传感器,它结合了核酸提取、扩增以及使用智能手机进行视觉检测或定量。专门开发了一种手持式电池供电加热装置用于即时检测环境下的核酸扩增,并将其与这种简单检测方法相结合以实现快速目标检测。该生物传感器能够成功检测加标的饮用水、牛奶、血液和菠菜中的大肠杆菌(作为模型分析物),检测限低至10 - 1000 CFU mL(-1),还能检测临床血液样本中的肺炎链球菌,凸显了其在医学诊断、食品安全分析和环境监测中的潜在用途。与整个样本到结果过程需要超过5小时的冗长传统检测方法相比,我们的集成生物传感器大约需要1小时。这种集成生物传感器在不久的将来具有检测各种目标分析物以实现广泛应用的巨大潜力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验