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Trading sensitivity for information: Carr-Purcell-Meiboom-Gill acquisition in solid-state NMR

机译:信息的交易敏感性:固态NMR中的Carr-Purcell-Meiboom-Gill采集

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The Carr-Purcell-Meiboom-Gill (CPMG) experiment has gained popularity in solid-state NMR as a method for enhancing sensitivity for anisotropically broadened spectra of both spin 1/2 and half integer quadrupolar nuclei. Most commonly, the train of CPMG echoes is Fourier transformed directly, which causes the NMR powder pattern to break up into a series of sidebands, sometimes called "spikelets." Larger sensitivity enhancements are observed as the delay between the π pulses is shortened. As the duration between the π pulses is shortened, however, the echoes become truncated and information about the nuclear spin interactions is lost. We explored the relationship between enhanced sensitivity and loss of information as a function of the product ω2τ, where ωis the span of the anisotropic lineshape and 2τ is the π pulse spacing. For a lineshape dominated by the nuclear shielding anisotropy, we found that the minimum uncertainty in the tensor values is obtained using ω 2τ values in the range ω 2τ≈ 12 _(-1)~(+6) and ω 2τ≈ 9_(-3)~(+3) for η_s =0 and η_s =1, respectively. For an anisotropic second-order quadrupolar central transition lineshape under magic-angle spinning (MAS), the optimum range of ω 2τ≈ 9 _(-2)~(+3) was found. Additionally, we show how the Two-dimensional One Pulse (TOP) like processing approach can be used to eliminate the cumbersome sideband pattern lineshape and recover a more familiar lineshape that is easily analyzed with conventional lineshape simulation algorithms.
机译:Carr-Purcell-Meiboom-Gill(CPMG)实验作为一种增强自旋1/2和半整数四极核的各向异性加宽光谱灵敏度的方法,在固态NMR中得到了普及。最常见的是,CPMG回波序列直接经过傅立叶变换,这导致NMR粉末图案分解为一系列边带,有时称为“小尖峰”。随着π脉冲之间的延迟缩短,观察到了更大的灵敏度增强。但是,随着π脉冲之间的持续时间缩短,回声将被截断,并且有关核自旋相互作用的信息也会丢失。我们探索了增强灵敏度和信息丢失之间的关系,该关系是乘积ω2τ的函数,其中ω是各向异性线形的跨度,而2τ是π脉冲间隔。对于以核屏蔽各向异性为主导的线形,我们发现张量值的最小不确定性是使用ω2τ值在ω2τ≈12 _(-1)〜(+6)和ω2τ≈9 _(- 3)〜(+3)分别针对η_s= 0和η_s= 1。对于魔角旋转(MAS)下各向异性的二阶四极中心过渡线形,求出ω2τ≈9_(-2)〜(+3)的最佳范围。此外,我们展示了如何使用类似于二维一脉冲(TOP)的处理方法来消除繁琐的边带图案线形并恢复使用常规线形仿真算法可以轻松分析的更熟悉的线形。

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