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Single Particle Automated Raman Trapping Analysis

Author

Listed:
  • Jelle Penders

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Isaac J. Pence

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Conor C. Horgan

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Mads S. Bergholt

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Christopher S. Wood

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Adrian Najer

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Ulrike Kauscher

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Anika Nagelkerke

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Molly M. Stevens

    (Imperial College London
    Imperial College London
    Imperial College London)

Abstract

Enabling concurrent, high throughput analysis of single nanoparticles would greatly increase the capacity to study size, composition and inter and intra particle population variance with applications in a wide range of fields from polymer science to drug delivery. Here, we present a comprehensive platform for Single Particle Automated Raman Trapping Analysis (SPARTA) able to integrally analyse nanoparticles ranging from synthetic polymer particles to liposomes without any modification. With the developed highly controlled automated trapping process, single nanoparticles are analysed with high throughput and sensitivity to resolve particle mixtures, obtain detailed compositional spectra of complex particles, track sequential functionalisations, derive particle sizes and monitor the dynamics of click reactions occurring on the nanoparticle surface. The SPARTA platform opens up a wide range of new avenues for nanoparticle research through label-free integral high-throughput single particle analysis, overcoming key limitations in sensitivity and specificity of existing bulk analysis methods.

Suggested Citation

  • Jelle Penders & Isaac J. Pence & Conor C. Horgan & Mads S. Bergholt & Christopher S. Wood & Adrian Najer & Ulrike Kauscher & Anika Nagelkerke & Molly M. Stevens, 2018. "Single Particle Automated Raman Trapping Analysis," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06397-6
    DOI: 10.1038/s41467-018-06397-6
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    Cited by:

    1. Chuchuan Hong & Justus C. Ndukaife, 2023. "Scalable trapping of single nanosized extracellular vesicles using plasmonics," Nature Communications, Nature, vol. 14(1), pages 1-8, December.

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