Quantitative nanometrology of binary particle systems using fluorescence recovery after photobleaching: application to colloidal silica

Daniel Doveiko*, Lisa Asciak, Simon Stebbing, Wenmiao Shu, Karina Kubiak-Ossowska, David J. S. Birch, Yu Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We present an application of fluorescence recovery after photobleaching (FRAP) to measure the size of the individual nanoparticles in binary systems. The presence of nanoparticles with varying sizes was successfully demonstrated using a straightforward biexponential model and their sizes were accurately determined. Furthermore, we have demonstrated the benefits of preprocessing the data using a simple machine learning algorithm based on the gradient boosting machine and fitting the resulting curves to a triexponential model. This approach allows the accurate recovery of the sizes of each of the three components in a binary particle system, namely, the 6 nm LUDOX HS40, 11 nm LUDOX AS40, and the free R6G labeling dye. Lastly, it has been demonstrated using molecular dynamics simulations that R6G adsorption to silica nanoparticles (SNPs) is indeed size-dependent, with larger constructs as the preferred target because of their higher charge and smaller curvature. The theoretical and experimental results were therefore consistent with one another.
Original languageEnglish
Number of pages10
JournalLangmuir
Early online date19 May 2025
DOIs
Publication statusE-pub ahead of print - 19 May 2025

Funding

D.D. would like to thank PQ Corporation, the University of Strathclyde, and EPSRC for the PhD studentship (EP/T517938/1).

Keywords

  • fluorescence recovery after photobleaching
  • FRAP
  • Rhodamine 6G
  • R6G
  • particle metrology
  • molecular dynamic
  • MD simulations
  • colloidal silica
  • gradient boosting
  • machine learning algorithm

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