Center for Soft and Living Matter , Institute for Basic Science (IBS) , Ulsan 44919 , South Korea.
Department of Chemistry , Ulsan National Institute of Science and Technology (UNIST) , Ulsan 44919 , South Korea.
J Phys Chem A. 2019 Nov 21;123(46):10184-10189. doi: 10.1021/acs.jpca.9b08273. Epub 2019 Nov 8.
Inspired by recent publications doubtful of the FCS technique, we scrutinize how irreversible ("static") and reversible ("dynamic") quenching can influence the interpretation of such data. Textbook presentations often emphasize only how to analyze data in extremes, the absence of quenching or the presence of substantial quenching. Here, we consider intermediate cases where the assessment of photophysics (static quenching, blinking-like triplet-state relaxation) influence on autocorrelation curves can be delicate if dye-labeled objects diffuse on comparably rapid time scales. We used the amino acid, tryptophan, as the quencher. As our example of small-molecule dye that diffuses rapidly, we mix the quencher with the fluorescence dye, Alexa 488. The translational diffusion coefficient, inferred from fit to the standard one-component Fickian diffusion model, speeds up without the loss of quality of fit, but quenching is reflected in the fact that the data become exceptionally noisy. This reflects the bidisperse population of quenched and unquenched dyes when the time scales overlap between the processes of translational diffusion, quenching, and blinking. As our example of the large-molecule dye-labeled object that diffuses relatively slowly, we mixed the quencher with dye-labeled BSA, bovine serum albumin. Diffusion, static quenching, and blinking time scales are now separated. In spite of quenching contribution to the autocorrelation function when the delay time is relatively short, the inferred translational diffusion coefficient now depends weakly on the presence of a quencher. We conclude that when the diffusing molecule is substantially slower to diffuse than the time scale of photophysical processes of the fluorescent dye to which it is attached, the influence of quenching is self-evident and the FCS autocorrelation curves give an appropriate diffusion coefficient if correct fitting functions are chosen in the analysis.
受最近一些对 FCS 技术提出质疑的出版物的启发,我们仔细研究了不可逆(“静态”)和可逆(“动态”)猝灭如何影响此类数据的解释。教科书通常只强调如何在极端情况下分析数据,即没有猝灭或存在大量猝灭。在这里,我们考虑中间情况,如果标记染料的物体在相当快的时间尺度上扩散,那么评估光物理(静态猝灭、类似闪烁的三重态弛豫)对自相关曲线的影响可能会很棘手。我们使用氨基酸色氨酸作为猝灭剂。作为快速扩散的小分子染料的示例,我们将猝灭剂与荧光染料 Alexa 488 混合。从拟合标准单组分菲克扩散模型推断的平动扩散系数会加快,而拟合质量不会降低,但猝灭会反映在数据变得异常嘈杂的事实中。这反映了当扩散、猝灭和闪烁过程的时间尺度重叠时,猝灭和未猝灭染料的双分散体种群。作为扩散相对较慢的大分子量染料标记物体的示例,我们将猝灭剂与染料标记的牛血清白蛋白 (BSA) 混合。扩散、静态猝灭和闪烁时间尺度现在已分离。尽管猝灭对自相关函数的贡献在延迟时间相对较短时,但推断的平动扩散系数现在对猝灭剂的存在依赖性较弱。我们得出的结论是,当扩散分子的扩散速度比与之相连的荧光染料的光物理过程的时间尺度慢得多时,猝灭的影响是显而易见的,如果在分析中选择了正确的拟合函数,FCS 自相关曲线将给出适当的扩散系数。