Suppr超能文献

将 3D 打印读出平台与基于量子点的免疫测定相结合,用于检测甲型流感病毒 (H7N9)。

Integration of a 3D-printed read-out platform with a quantum dot-based immunoassay for detection of the avian influenza A (H7N9) virus.

机构信息

Department of Bioengineering, Guangdong Province Engineering Research Center for antibody drug and immunoassay, Jinan University, Guangzhou 510632, PR China.

出版信息

Analyst. 2019 Apr 8;144(8):2594-2603. doi: 10.1039/c8an02336k.

Abstract

Outbreaks and potential epidemics of the highly pathogenic avian influenza virus pose serious threats to human health and the global economy. As such, its timely and accurate detection is critically important. In the present study, positive hybridoma cells (6B3) were obtained, which were used to secrete high-titer avian influenza virus (AIV) H7N9 monoclonal antibodies (H7N9 mAb). Based on these mAbs, quantum dot-based lateral flow immunochromatographic strips (QD-LFICS) were developed for AIV H7N9 detection. Under optimized conditions, results from a commercial fluorescent strip reader indicated that the limit of detection of QD-LFICS was 0.0268 HAU. To achieve rapid on-site testing, a mini 3D-printed read-out platform was fabricated to allow observation of QD-LFICS by the naked eye. More importantly, QD-LFICS were found to be practical and specific for the detection of actual samples compared with a real-time polymerase chain reaction.

摘要

高致病性禽流感病毒的爆发和潜在流行对人类健康和全球经济构成严重威胁。因此,及时、准确地检测禽流感病毒至关重要。本研究获得了阳性杂交瘤细胞(6B3),用于分泌高滴度禽流感病毒(AIV)H7N9 单克隆抗体(H7N9 mAb)。基于这些 mAbs,开发了基于量子点的侧向流动免疫层析条(QD-LFICS)用于检测 AIV H7N9。在优化条件下,商用荧光条阅读器的结果表明,QD-LFICS 的检测限为 0.0268 HAU。为了实现快速现场检测,制造了一个小型 3D 打印读出平台,允许通过肉眼观察 QD-LFICS。更重要的是,与实时聚合酶链反应相比,QD-LFICS 被发现对实际样品的检测具有实用性和特异性。

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