Chemistry and Materials in Lateral Flow Assay

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About this Research Topic

Submission deadlines

  1. Manuscript Submission Deadline 14 January 2026

  2. This Research Topic is currently accepting articles.

Background

Lateral flow assay (LFA) is a powerful tool that meets with ASSURED criteria, including accuracy, accessibility, and affordability, for disease diagnostics at point-of-care. However, traditional LFAs still have some limitations, such as lower sensitivity, limited specificity, and a lack of quantitative results. Chemistry and materials are fundamental considerations in the preparation of sensitive, accurate, rapid, and stable lateral flow assay.

We will focus on the chemistry and materials involving nanoparticles, antibody conjugation, signal amplification chemistry, and new biomarker molecules, to improve the performance of LFAs. Through the development of chemistry and materials, ultra-sensitive, highly specific, and long-term stable LFAs are promising in the future. Various new nanoparticles, such as quantum dots, SERS, nanoenzyme, and dyed nanoparticles, were prepared for use as labels of LFAs. The conjugation chemistry between antibodies and nanoparticles is also studied to obtain highly bioactive antibody conjugates. Additional signal amplification chemistry, such as silver enhancement and chemiluminescent substrate, was also employed to improve the sensitivity of LFAs. New molecule recognition materials, like aptamer, imprint polymers, and plastic antibodies, are emerging for the preparation of LFAs.

In this topic, research articles, reviews, and perspectives related to nanoparticles, conjugation chemistry, signal amplification chemistry, and biological recognition molecules, are welcome. Articles directly related to LFAs or just focusing on specific aspect of their development are all suitable for this topic.

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This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

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  • FAIR² Data
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  • Original Research
  • Perspective
  • Review

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