ESR Group, Laboratory of Physical Chemistry, Wolfgang-Pauli-Strasse 10, 8093 Zurich, Switzerland.
Phys Chem Chem Phys. 2013 Apr 28;15(16):5854-66. doi: 10.1039/c3cp44462g. Epub 2013 Mar 13.
Distance measurements by pulse electron paramagnetic resonance techniques are increasingly applied to multiple-spin systems. In the double electron-electron resonance experiment, more than two dipolar coupled spins manifest in an increased total modulation depth and in sum and difference dipolar frequency contributions that give rise to additional peaks appearing in the distance distribution, which do not correspond to the real interspin distances of the system and are hence referred to as ghost contributions. These ghost contributions may be so prominent that they might be mistaken for real distance peaks or that real distance peaks shift their position or disappear. We present a simple approximate procedure to suppress ghost distances to a great extent by manipulating the experimentally obtained form factor during data analysis by a simple power scaling with a scaling exponent ζ(N) = 1/(1-N), with N being the number of coupled spins in the system. This approach requires neither further experimental effort nor exact knowledge about labelling and inversion efficiency. This should enable routine application to biological systems. The approach is validated on simulated test cases for up to five spins and applied to synthetic model samples. The suppression of ghost distances with the presented approach works best for symmetric geometries and rigid molecules which, at the same time, are the cases where ghost contributions are most disturbing. The distance distributions obtained by power scaling are consistent with distributions that were obtained with previously obtained alternative approaches and agree, in some cases, strikingly well with the expectations for the true interspin distance distributions.
通过脉冲电子顺磁共振技术进行的距离测量越来越多地应用于多自旋系统。在双电子电子共振实验中,两个以上的偶极耦合自旋在总调制深度和和差偶极频率贡献中表现出来,这导致在距离分布中出现了额外的峰,这些峰与系统的实际自旋间距离不对应,因此被称为幽灵峰。这些幽灵峰可能非常突出,以至于可能被误认为是真实的距离峰,或者真实的距离峰会改变其位置或消失。我们提出了一种简单的近似方法,通过在数据分析中通过简单的功率缩放来操纵实验获得的形态因子,其中缩放指数 ζ(N) = 1/(1-N),N 是系统中耦合自旋的数量,从而在很大程度上抑制幽灵峰。该方法既不需要进一步的实验努力,也不需要关于标记和反转效率的准确知识。这应该能够使该方法常规应用于生物系统。该方法在多达五个自旋的模拟测试案例上进行了验证,并应用于合成模型样品。所提出的方法对对称几何形状和刚性分子的幽灵峰抑制效果最佳,同时,这些也是幽灵峰干扰最大的情况。通过功率缩放获得的距离分布与先前获得的替代方法获得的分布一致,并且在某些情况下,与真实自旋间距离分布的预期非常吻合。