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通过上转换激活的线性发光恢复过程,实现对病毒特异性核酸序列的简便可视化固相检测。

A facile visualized solid-phase detection of virus-specific nucleic acid sequences through an upconversion activated linear luminescence recovery process.

机构信息

College of Chemistry, Nanchang University, Nanchang, Jiangxi, 330088, P. R. China.

The National Engineering Research Center for Bioengineering Drugs and the Technologies, Institute of Translational Medicine, Nanchang University, Nanchang, Jiangxi, 330088, P. R. China.

出版信息

Analyst. 2022 May 30;147(11):2378-2387. doi: 10.1039/d2an00382a.

DOI:10.1039/d2an00382a
PMID:35543144
Abstract

The development of portable solid-phase biosensors is of great significance for point-of-care testing (POCT). In this work, we constructed a simple visualized solid-phase biosensor based on luminescence resonance energy transfer (LRET) from upconversion nanoparticles (UCNPs) to gold nanoparticles (AuNPs) for quantitative detection of virus-specific nucleic acid sequences. The detection data showed that there was a linear relationship between the luminescence recovery of UCNPs and the concentrations of the target within the range of 5-100 nM, and the limit of detection (LOD) was 0.326 nM. Additionally, the luminescence recovery of UCNPs was visualized and quantitatively analyzed using a home-built luminescence image capture device and an open-source ImageJ software that can analyze and process images. Compared with conventional liquid-phase biosensors, the solid-phase analysis method we constructed not only has advantages in cost, portability and stability, but also is more conducive to the rapid acquisition and storage of the detected sample, which is expected to become a fast, efficient and reliable detection platform for POCT.

摘要

便携式固相生物传感器的发展对于即时检测(POCT)具有重要意义。在这项工作中,我们构建了一种简单的可视化固相生物传感器,基于上转换纳米粒子(UCNPs)到金纳米粒子(AuNPs)的发光共振能量转移(LRET),用于定量检测病毒特异性核酸序列。检测数据表明,在 5-100 nM 的范围内,UCNPs 的发光恢复与目标浓度之间存在线性关系,检测限(LOD)为 0.326 nM。此外,使用自制的发光图像采集设备和可分析和处理图像的开源 ImageJ 软件对 UCNPs 的发光恢复进行了可视化和定量分析。与传统的液相生物传感器相比,我们构建的固相分析方法不仅在成本、便携性和稳定性方面具有优势,而且更有利于快速获取和储存检测样品,有望成为一种快速、高效、可靠的 POCT 检测平台。

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