Protein-Based Anchoring Methods for Nucleic Acid Detection in Lateral Flow Format Assays

Author:

Hallerbach Kira1,Khederlou Khadijeh1,Wentland Lael1,Senten Lana1,Brentano Steven2,Keefe Brian3,Fu Elain1

Affiliation:

1. School of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA

2. HP Inc., Palo Alto, CA 94304, USA

3. HP Inc., San Diego, CA 92127, USA

Abstract

The use of lateral flow assays to detect nucleic acid targets has many applications including point-of-care diagnostics, environmental monitoring, and food safety. A sandwich format, similar to that in protein immunoassays, is often used to capture the target nucleic acid sequence with an immobilized complementary strand anchored to a substrate, and then to visualize this event using a complementary label nucleic acid bound to a nanoparticle label. A critical component of high-sensitivity nucleic acid detection is to utilize high-density capture surfaces for the effective capture of target nucleic acid. Multiple methods have been reported, including the use of streptavidin-based protein anchors that can be adsorbed to the lateral flow substrate and that can utilize the high-affinity streptavidin–biotin linkage to bind biotinylated nucleic acid capture sequences for subsequent target nucleic acid binding. However, these protein anchors have not been systematically characterized for use in the context of nucleic acid detection. In this work, we characterize several protein-based anchors on nitrocellulose for (i) capturing the robustness of the attachment of the protein anchor, (ii) capturing nucleic acid density, and (iii) targeting nucleic acid capture. Further, we demonstrate the signal gains in target nucleic acid hybridization made by increasing the density of capture nucleic acid on a nitrocellulose substrate using multiple applications of protein loading onto nitrocellulose. Finally, we use our high-density capture surfaces to demonstrate high-sensitivity nucleic acid detection in a lateral flow assay (in the context of a SARS-CoV-2 sequence), achieving a LOD of approximately 0.2 nM.

Funder

HP Inc. and OSU via the HP-OSU Special Research Fund

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3