Projects per year
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 language | English |
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Number of pages | 10 |
Journal | Langmuir |
Early online date | 19 May 2025 |
DOIs | |
Publication status | E-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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Fluorescence imaging characterisation of silicates
Chen, Y. (Principal Investigator) & Rolinski, O. (Co-investigator)
1/10/21 → 31/12/25
Project: Research - Studentship
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Doctoral Training Partnership 2020-2021 University of Strathclyde | Doveiko, Daniel
Chen, Y. (Principal Investigator) & Doveiko, D. (Research Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/21 → 1/04/25
Project: Research Studentship - Internally Allocated