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An Overview for the Nanoparticles-Based Quantitative Lateral Flow Assay

期刊

SMALL METHODS
卷 6, 期 1, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smtd.202101143

关键词

lateral flow assays; materials; optical properties; quantitative detection; strip reader

资金

  1. National Key Research and Development Program of China [2019YFC1604703]
  2. China Postdoctoral Science Foundation [2020M681489]

向作者/读者索取更多资源

The development of lateral flow assays (LFAs) has attracted attention due to their wide applications in food safety, environmental monitoring, and clinical diagnosis. The user-friendly, low-cost, and easy operation features of LFAs are their most attractive advantages. Quantitative detection has become a focus of LFA development in recent years.
The development of the lateral flow assay (LFA) has received much attention in both academia and industry because of their broad applications to food safety, environmental monitoring, clinical diagnosis, and so forth. The user friendliness, low cost, and easy operation are the most attractive advantages of the LFA. In recent years, quantitative detection has become another focus of LFA development. Here, the most recent studies of quantitative LFAs are reviewed. First, the principles and corresponding formats of quantitative LFAs are introduced. In the biomaterial and nanomaterial sections, the detection, capture, and signal amplification biomolecules and the optical, fluorescent, luminescent, and magnetic labels used in LFAs are described. The invention of dedicated strip readers has drawn further interest in exploiting the better performance of LFAs. Therefore, next, the development of dedicated reader devices is described and the usefulness and specifications of these devices for LFAs are discussed. Finally, the applications of LFAs in the detection of metal ions, biotoxins, pathogenic microorganisms, veterinary drugs, and pesticides in the fields of food safety and environmental health and the detection of nucleic acids, biomarkers, and viruses in clinical analyses are summarized.

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