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Digital Detection of Nanoparticles: Viral Diagnostics and Multiplexed Protein and Nucleic Acid Assays

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Abstract

Synthetic nanoparticles have made significant impact across a broad range of technological applications including optical nanoantennas, ultra-sensitive imaging and sensing, and diagnostics and therapeutics. Natural nanoparticles such as viruses and pollutants are major concerns for human health. High-throughput characterization of nanoparticles in terms of their size and shape is crucial for practical applications of synthetic nanoparticles and highly sensitive pathogen identification. Recently, we have demonstrated Interferometric Reflectance Imaging Sensor (IRIS) with the ability to detect single nanoscale particles [1,2].

In single-particle modality of IRIS (SP-IRIS), the interference of light reflected from the sensor surface is modified by the presence of particles producing a distinct signal that reveals the size of the particle. In our approach, the dielectric layered structure acts as an optical antenna optimizing the elastic scattering characteristics of nanoparticles for sensitive detection and analysis. We have demonstrated identification of virus particles in complex samples for various viruses in multiplexed format. Size discrimination of the imaged nanoparticles (virions) allows differentiation between modified viruses having different genome lengths and facilitates a reduction in the counting of non-specifically bound particles to achieve a limit-of-detection (LOD) of 5×103 pfu/mL for the Ebola and Marburg VSV pseudotypes. We have demonstrated the simultaneous detection of multiple viruses in serum or whole blood as well as in samples contaminated with high levels of bacteria [3]. Single nanoparticle detection with IRIS has shown promising results for protein [4] and DNA arrays with attomolar detection sensitivity.

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Acknowledgments

There are many students, postdoctoral researchers and collaborators that made significant contributions to the body of work discussed in this article. The primary funding sources are the National Science Foundation, Accelerating Innovation Research Award 1127833 and the National Institutes of Health Award R01 AI1096159.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Department of Biomedical Engineering and Photonics Center Boston, Boston University, MA, 02215, U.S.A.

    M. S. Ünlü

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Ünlü, M.S. Digital Detection of Nanoparticles: Viral Diagnostics and Multiplexed Protein and Nucleic Acid Assays. MRS Online Proceedings Library 1720, 23–28 (2014). https://doi.org/10.1557/opl.2015.4

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