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利用光漂白后荧光恢复对二元颗粒系统进行定量纳米计量学:应用于胶体二氧化硅

Quantitative Nanometrology of Binary Particle Systems Using Fluorescence Recovery after Photobleaching: Application to Colloidal Silica.

作者信息

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

机构信息

Photophysics Group, Department of Physics, University of Strathclyde, Glasgow G4 0NG, U.K.

Department of Biomedical Engineering, University of Strathclyde, Glasgow G4 0NW, U.K.

出版信息

Langmuir. 2025 Jul 29;41(29):19173-19182. doi: 10.1021/acs.langmuir.5c01287. Epub 2025 May 19.

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.

摘要

我们展示了光漂白后荧光恢复(FRAP)在测量二元体系中单个纳米颗粒尺寸方面的应用。使用简单的双指数模型成功证明了存在不同尺寸的纳米颗粒,并准确确定了它们的尺寸。此外,我们展示了使用基于梯度提升机的简单机器学习算法对数据进行预处理,并将所得曲线拟合为三指数模型的好处。这种方法能够准确恢复二元颗粒体系中三种组分各自的尺寸,即6纳米的LUDOX HS40、11纳米的LUDOX AS40以及游离的R6G标记染料。最后,通过分子动力学模拟证明,R6G对二氧化硅纳米颗粒(SNP)的吸附确实与尺寸有关,较大的颗粒由于其较高的电荷和较小的曲率而成为首选目标。因此,理论和实验结果相互一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2805/12312185/6d1bb869cab5/la5c01287_0001.jpg

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