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利用基于智能手机的荧光显微镜,以每微升单个病毒拷贝的水平检测水样中的诺如病毒。

Norovirus detection in water samples at the level of single virus copies per microliter using a smartphone-based fluorescence microscope.

机构信息

Department of Biosystems Engineering, The University of Arizona, Tucson, AZ, USA.

US Department of Agriculture, Agricultural Research Service, Richard Russell Research Center, Athens, GA, USA.

出版信息

Nat Protoc. 2021 Mar;16(3):1452-1475. doi: 10.1038/s41596-020-00460-7. Epub 2021 Jan 29.

Abstract

Norovirus is a widespread public health threat and has a very low infectious dose. This protocol presents the extremely sensitive mobile detection of norovirus from water samples using a custom-built smartphone-based fluorescence microscope and a paper microfluidic chip. Antibody-conjugated fluorescent particles are immunoagglutinated and spread over the paper microfluidic chip by capillary action for individual counting using a smartphone-based fluorescence microscope. Smartphone images are analyzed using intensity- and size-based thresholding for the elimination of background noise and autofluorescence as well as for the isolation of immunoagglutinated particles. The resulting pixel counts of particles are correlated with the norovirus concentration of the tested sample. This protocol provides detailed guidelines for the construction and optimization of the smartphone- and paper-based assay. In addition, a 3D-printed enclosure is presented to incorporate all components in a dark environment. On-chip concentration and the assay of higher concentrations are presented to further broaden the assay range. This method is the first to be presented as a highly sensitive mobile platform for norovirus detection using low-cost materials. With all materials and reagents prepared, a single standard assay takes under 20 min. Although the method described is used for detection of norovirus, the same protocol could be adapted for detection of other pathogens by using different antibodies.

摘要

诺如病毒是一种广泛存在的公共卫生威胁,其传染性剂量非常低。本方案介绍了一种使用定制的基于智能手机的荧光显微镜和纸质微流控芯片从水样中极灵敏检测诺如病毒的方法。抗体偶联的荧光颗粒通过毛细作用在纸质微流控芯片上免疫聚集和扩散,然后使用基于智能手机的荧光显微镜对其进行逐个计数。使用基于强度和大小的阈值分析智能手机图像,以消除背景噪声和自体荧光,并分离免疫聚集的颗粒。所得颗粒的像素计数与测试样品中的诺如病毒浓度相关。本方案提供了构建和优化基于智能手机和纸质的检测方法的详细指南。此外,还提出了一种 3D 打印外壳,将所有组件集成在一个黑暗的环境中。还介绍了片上浓缩和更高浓度的检测,以进一步拓宽检测范围。该方法是第一个使用低成本材料实现的高灵敏度移动诺如病毒检测平台。所有材料和试剂准备好后,单个标准检测不到 20 分钟。尽管所描述的方法用于检测诺如病毒,但通过使用不同的抗体,同样的方案可以适应其他病原体的检测。

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