AI Article Synopsis

  • Viruses greatly impact life, leading to new methods for fast and non-intrusive detection.
  • A unique technique using label-free, full-field interferometry enables real-time tracking of biotic nanoparticles and their interactions with antibodies.
  • The study successfully distinguishes between similar particles and quantifies virus-antibody interactions, helping understand their dynamics in a quick timeframe.

Article Abstract

Viruses have a profound influence on all forms of life, motivating the development of rapid and minimally invasive methods for virus detection. In this study, we present a novel methodology that enables quantitative measurement of the interaction between individual biotic nanoparticles and antibodies in solution. Our approach employs a label-free, full-field common-path interferometric technique to detect and track biotic nanoparticles and their interactions with antibodies. It is based on the interferometric detection of light scattered by viruses in aqueous samples for the detection of individual viruses. We employ single-particle tracking analysis to characterize the size and properties of the detected nanoparticles, and to monitor the changes in their diffusive mobility resulting from interactions. To validate the sensitivity of our detection approach, we distinguish between particles having identical diffusion coefficients but different scattering signals, using DNA-loaded and DNA-devoid capsids of the T5 virus phage. In addition, we have been able to monitor, in real time, the interaction between the bacteriophage T5 and purified antibodies targeting its major capsid protein pb8, as well as between the phage SPP1 and nonpurified anti-SPP1 antibodies present in rabbit serum. Interestingly, these virus-antibody interactions are observed within minutes. Finally, by estimating the number of viral particles interacting with antibodies at different concentrations, we successfully quantify the dissociation constant of the virus-antibody reaction using single-particle tracking analysis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470184PMC
http://dx.doi.org/10.1016/j.bpr.2023.100119DOI Listing

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