Seabury Amelia G, Khodabocus Alisha J, Kogan Isabelle M, Hoy Grayson R, DeSalvo Grace A, Wustholz Kristin L
Chemistry Department, William & Mary, Williamsburg, VA, USA.
Commun Chem. 2024 Jan 27;7(1):18. doi: 10.1038/s42004-024-01106-5.
Single-molecule fluorescence experiments have transformed our understanding of complex materials and biological systems. Whether single molecules are used to report on their nano-environment or provide for localization, understanding their blinking dynamics (i.e., stochastic fluctuations in emission intensity under continuous illumination) is paramount. We recently demonstrated another use for blinking dynamics called blink-based multiplexing (BBM), where individual emitters are classified using a single excitation laser based on blinking dynamics, rather than color. This study elucidates the structure-activity relationships governing BBM performance in a series of model rhodamine, BODIPY, and anthraquinone fluorophores that undergo different photo-physical and-chemical processes during blinking. Change point detection and multinomial logistic regression analyses show that BBM can leverage spectral fluctuations, electron and proton transfer kinetics, as well as photostability for molecular classification-even within the context of a shared blinking mechanism. In doing so, we demonstrate two- and three-color BBM with ≥ 93% accuracy using spectrally-overlapped fluorophores.
单分子荧光实验改变了我们对复杂材料和生物系统的理解。无论单分子是用于报告其纳米环境还是进行定位,了解它们的闪烁动力学(即在连续光照下发射强度的随机波动)都是至关重要的。我们最近展示了闪烁动力学的另一种用途,称为基于闪烁的复用(BBM),其中基于闪烁动力学而非颜色,使用单个激发激光对单个发射体进行分类。本研究阐明了在一系列模型罗丹明、BODIPY和蒽醌荧光团中控制BBM性能的结构-活性关系,这些荧光团在闪烁过程中经历不同的光物理和化学过程。变化点检测和多项逻辑回归分析表明,即使在共享闪烁机制的情况下,BBM也可以利用光谱波动、电子和质子转移动力学以及光稳定性进行分子分类。通过这样做,我们使用光谱重叠的荧光团展示了准确率≥93%的双色和三色BBM。