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金/自组装单分子膜界面上蓝铜蛋白天青蛋白的短程和长程电子转移的基本特征。

Fundamental signatures of short- and long-range electron transfer for the blue copper protein azurin at Au/SAM junctions.

机构信息

Department of Chemistry and Pharmacy, University of Erlangen-Nürnberg, 91058 Erlangen, Germany.

出版信息

Proc Natl Acad Sci U S A. 2010 Feb 16;107(7):2757-62. doi: 10.1073/pnas.0910837107. Epub 2010 Feb 1.

Abstract

The blue copper protein from Pseudomonas aeruginosa, azurin, immobilized at gold electrodes through hydrophobic interaction with alkanethiol self-assembled monolayers (SAMs) of the general type [-S-(CH(2))(n)-CH(3)] (n = 4, 10, and 15) was employed to gain detailed insight into the physical mechanisms of short- and long-range biomolecular electron transfer (ET). Fast scan cyclic voltammetry and a Marcus equation analysis were used to determine unimolecular standard rate constants and reorganization free energies for variable n, temperature (2-55 degrees C), and pressure (5-150 MPa) conditions. A novel global fitting procedure was found to account for the reduced ET rate constant over almost five orders of magnitude (covering different n, temperature, and pressure) and revealed that electron exchange is a direct ET process and not conformationally gated. All the ET data, addressing SAMs with thickness variable over ca. 12 A, could be described by using a single reorganization energy (0.3 eV), however, the values for the enthalpies and volumes of activation were found to vary with n. These data and their comparison with theory show how to discriminate between the fundamental signatures of short- and long-range biomolecular ET that are theoretically anticipated for the adiabatic and nonadiabatic ET mechanisms, respectively.

摘要

铜蓝蛋白从绿脓假单胞菌,蓝铜蛋白,固定在金电极通过疏水性相互作用与烷硫醇自组装单层(SAMs)的一般类型[-S-(CH(2))(n)-CH(3)](n = 4,10,和 15)被用来深入了解物理机制的短期和长期生物分子电子转移(ET)。快速扫描循环伏安法和马库斯方程分析用于确定单分子标准速率常数和重组自由能的变量 n,温度(2-55°C)和压力(5-150 MPa)条件。发现一种新的全局拟合程序来解释减少 ET 速率常数超过五个数量级(覆盖不同的 n、温度和压力),并表明电子交换是一个直接的 ET 过程,而不是构象门控的。所有的 ET 数据,解决了厚度变量约 12 A 的 SAMs,可以用单个重组能(0.3 eV)来描述,然而,活化焓和活化体积的值被发现随 n 而变化。这些数据及其与理论的比较表明如何区分理论上预期的绝热和非绝热 ET 机制的短期和长期生物分子 ET 的基本特征。

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