journal article·2021-03-23

Ultrasensitive and Highly Specific Lateral Flow Assays for Point-of-Care Diagnosis

Yilin Liu, Li Zhan, Zhenpeng Qin, James Sackrison, John C. Bischof

ACS Nano· Volume 15· Issue 3
Publisher page

Abstract

Lateral flow assays (LFAs) are paper-based point-of-care (POC) diagnostic tools that are widely used because of their low cost, ease of use, and rapid format. Unfortunately, traditional commercial LFAs have significantly poorer sensitivities (μM) and specificities than standard laboratory tests (enzyme-linked immunosorbent assay, ELISA: pM-fM; polymerase chain reaction, PCR: aM), thus limiting their impact in disease control. In this Perspective, we review the evolving efforts to increase the sensitivity and specificity of LFAs. Recent work to improve the sensitivity through assay improvement includes optimization of the assay kinetics and signal amplification by either reader systems or additional reagents. Together, these efforts have produced LFAs with ELISA-level sensitivities (pM-fM). In addition, sample preamplification can be applied to both nucleic acids (direct amplification) and other analytes (indirect amplification) prior to LFA testing, which can lead to PCR-level (aM) sensitivity. However, these amplification strategies also increase the detection time and assay complexity, which inhibits the large-scale POC use of LFAs. Perspectives to achieve future rapid (<30 min), ultrasensitive (PCR-level), and "sample-to-answer" POC diagnostics are also provided. In the case of LFA specificity, recent research efforts have focused on high-affinity molecules and assay optimization to reduce nonspecific binding. Furthermore, novel highly specific molecules, such as CRISPR/Cas systems, can be integrated into diagnosis with LFAs to produce not only ultrasensitive but also highly specific POC diagnostics. In summary, with continuing improvements, LFAs may soon offer performance at the POC that is competitive with laboratory techniques while retaining a rapid format.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Biosensors and Analytical Detection · SARS-CoV-2 detection and testing · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States

Department of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080 United States

Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States

Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States

Center for Advanced Pain Studies, University of Texas at Dallas, Richardson, Texas 75080, United States

3984 Hunters Hill Way, Minnetonka, Minnesota 55345, United States

Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States

Director, Institute of Engineering in Medicine, University of Minnesota, Minneapolis, Minnesota 55455, United States

Funding

National Science Foundation · Medtronic-Bakken Endowed Chair

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