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Spectroscopy of single phycoerythrocyanin monomers: dark state identification and observation of energy transfer heterogeneities.

机译:单一藻红蛋白单体的光谱:暗态识别和能量转移异质性的观察。

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摘要

Phycoerythrocyanin (PEC) is part of the light harvesting system of cyanobacteria. The PEC monomer contains one phycoviolobilin chromophore, which transfers excitation energy onto two phycocyanobilin chromophores. Many spectroscopical methods have been used in the past to study the bulk properties of PEC. These methods average over many molecules. Therefore, differences in the behavior of individual molecules remain hidden. The energy transfer within photosynthetic complexes is however sensitive to changes in the spectroscopic properties of the participating subunits. Knowledge about heterogeneities is therefore important for the description of the energy transfer in photosynthetic systems. Here, the recording of the fluorescence emission of single PEC molecules is used as a tool to obtain such information. Spectrally resolved detection as well as double resonance excitation of single PEC molecules is used to investigate their bleaching behavior. The trans isomer of the phycoviolobilin chromophore is identified as a short-lived dark state of monomeric PEC. Polarization sensitive single molecule detection is used for the direct observation of the energy transfer in individual PEC molecules. The experiments reveal that more than one-half of the PEC molecules exhibit an energy transfer behavior significantly different from the bulk. These heterogeneities persist on a time scale of several seconds. Model calculations lead to the conclusion that they are caused by minor shifts in the spectra of the chromophores.
机译:藻红蛋白(PEC)是蓝细菌光收集系统的一部分。 PEC单体包含一个藻蓝蛋白生色团,它将激发能转移到两个藻蓝蛋白生色团上。过去已使用许多光谱方法来研究PEC的整体性质。这些方法平均许多分子。因此,单个分子的行为差异仍然被隐藏。然而,光合复合物中的能量转移对参与的亚基的光谱性质的变化敏感。因此,关于异质性的知识对于描述光合作用系统中的能量转移非常重要。在此,单个PEC分子的荧光发射的记录用作获得这种信息的工具。光谱解析检测以及单个PEC分子的双共振激发用于研究其漂白行为。藻胆素发色团的反式异构体被鉴定为单体PEC的短暂暗态。极化敏感的单分子检测用于直接观察单个PEC分子中的能量转移。实验表明,超过一半的PEC分子表现出的能量转移行为与本体明显不同。这些异质性在几秒钟的时间尺度上持续存在。模型计算得出的结论是,它们是由发色团光谱中的微小位移引起的。

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