Singapore Bioimaging Consortium, A(∗)STAR, Singapore 138667, Singapore.
J Magn Reson. 2011 Sep;212(1):40-6. doi: 10.1016/j.jmr.2011.06.006. Epub 2011 Jun 14.
The NMR z-spectra of 7Li+ and 23Na+ in stretched hydrogels contain five minima, or critical values, with a sharp "dagger" on the central dip. The mathematical representation of such z-spectra from spin-3/2 nuclei contains nine distinct (the total is 15 but there is redundancy of the ±order-numbers) relaxation rate constants that are unique for each of the spin states, up to rank 3, order 3. We present an approach to multiple-parameter-value estimation that exploits the high level of separability of the effects of each of the relaxation rate constants on the features of the z-spectrum. The Markov chain Monte Carlo (MCMC) method is computationally demanding but it yielded statistically robust estimates (low coefficients of variation) of the parameter values. We describe the implementation of the MCMC analysis (in the present context) and posit that it can obviate the need for using multiple-quantum filtered RF-pulse sequences to estimate all relaxation rate constants/times under experimentally favorable, but readily achievable, circumstances.
伸展水凝胶中 7Li+和 23Na+的 NMR z 谱包含五个最小值,或临界点,在中央凹陷处有一个尖锐的“匕首”。来自自旋-3/2 核的这种 z 谱的数学表示包含九个不同的(总数为 15,但正负序号有冗余)弛豫率常数,每个自旋态都有独特的弛豫率常数,最高可达 3 阶,3 阶。我们提出了一种多参数值估计方法,利用每个弛豫率常数对 z 谱特征的影响的高度可分离性。马尔可夫链蒙特卡罗(MCMC)方法计算量大,但它产生了统计上稳健的参数值估计(低变异系数)。我们描述了 MCMC 分析的实现(在当前上下文中),并假设它可以避免在实验有利但容易实现的情况下使用多量子滤波 RF 脉冲序列来估计所有弛豫率常数/时间的需要。