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铁蛋白的整数自旋电子顺磁共振

Integer-spin electron paramagnetic resonance of iron proteins.

作者信息

Hendrich M P, Debrunner P G

机构信息

Gray Freshwater Biological Institute, University of Minnesota, Navarre 55392.

出版信息

Biophys J. 1989 Sep;56(3):489-506. doi: 10.1016/S0006-3495(89)82696-7.

Abstract

A quantitative interpretation is presented for EPR spectra from integer-spin metal centers having large zero-field splittings. Integer-spin, or non-Kramers, centers are common in metalloproteins and many give EPR signals, but a quantitative understanding has been lacking until now. Heterogeneity of the metal's local environment will result in a significant spread in zero-field splittings and in broadened EPR signals. Using the spin Hamiltonian Hs = S.D.S + beta S.g.B and some simple assumptions about the nature of the zero-field parameter distributions, a lineshape model was devised which allows accurate simulation of single crystal and frozen solution spectra. The model was tested on single crystals of magnetically dilute ferrous fluosilicate. Data and analyses from proteins and active-site models are presented with the microwave field B1 either parallel or perpendicular to B. Quantitative agreement of observed and predicted signal intensities is found for the two B1 orientations. Methods of spin quantitation are given and are shown to predict an unknown concentration relative to a standard with known concentration. The fact that the standard may be either a non-Kramers or a Kramers center is further proof of the model's validity. The magnitude of the splitting in zero magnetic field is of critical importance; it affects not only the chance of signal observation, but also the quantitation accuracy. Experiments taken at microwave frequencies of 9 and 35 GHz demonstrate the need for high-frequency data as only a fraction of the molecules give signals at 9 GHz.

摘要

本文对具有大零场分裂的整数自旋金属中心的电子顺磁共振(EPR)谱进行了定量解释。整数自旋中心,即非克莱默斯中心,在金属蛋白中很常见,许多都会产生EPR信号,但直到现在仍缺乏定量的理解。金属局部环境的异质性将导致零场分裂的显著分散和EPR信号的展宽。利用自旋哈密顿量Hs = S.D.S + βS.g.B以及关于零场参数分布性质的一些简单假设,设计了一种线形模型,该模型能够精确模拟单晶和冷冻溶液谱。该模型在磁性稀释的氟硅酸亚铁单晶上进行了测试。给出了蛋白质和活性位点模型的数据及分析,其中微波场B1平行或垂直于B。对于两种B1取向,观察到的和预测的信号强度都有定量的一致性。给出了自旋定量方法,并表明该方法可以相对于已知浓度的标准物预测未知浓度。标准物可以是一个非克莱默斯中心或一个克莱默斯中心这一事实进一步证明了该模型的有效性。零磁场中分裂的大小至关重要;它不仅影响信号观测的机会,还影响定量精度。在9 GHz和35 GHz微波频率下进行的实验表明需要高频数据,因为在9 GHz时只有一小部分分子会产生信号。

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