Hussain Haider, Khimyak Yaroslav Z, Wallace Matthew
School of Chemistry, Pharmacy and Pharmacology, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, United Kingdom.
Anal Chem. 2024 Dec 17;96(50):19858-19862. doi: 10.1021/acs.analchem.4c03596. Epub 2024 Dec 3.
NMR spectroscopy is a very powerful tool for measuring the dissociation constants (p) of molecules, requiring smaller quantities of samples of lower purity relative to potentiometric or conductometric methods. However, current approaches are generally limited to those molecules possessing favorable pH-dependent NMR properties. Typically, a series of 1D experiments at varying pH are performed, and the p is obtained by fitting the observed chemical shift of the analyte as a function of pH using nonlinear routines. However, the majority of polymers, biomolecules, and inorganic species do not present favorable NMR resonances. Either the resonances are not observable or too broad, or the unambiguous interpretation of the NMR data is impossible without resorting to complex 2D experiments due to spectral overlap. To overcome these fundamental limitations, we present a method to obtain the p values and concentrations of acidic species without their direct observation by NMR. We instead determine the quantity of acidic protons removed from the species along a concentration gradient of an organic base in a single H chemical shift imaging experiment that can be run under automation. The p values are determined via simple linear plots, avoiding complex and potentially unreliable nonlinear fitting routines.
核磁共振光谱法是一种用于测量分子解离常数(p)的强大工具,相对于电位滴定法或电导法,它所需的样品量较少且纯度要求较低。然而,目前的方法通常仅限于那些具有良好pH依赖性核磁共振特性的分子。通常,要在不同pH值下进行一系列一维实验,并通过使用非线性程序将观察到的分析物化学位移作为pH值的函数进行拟合来获得p值。然而,大多数聚合物、生物分子和无机物并不具有良好的核磁共振共振。要么共振不可观察或过于宽泛,要么由于光谱重叠,如果不借助复杂的二维实验,就无法对核磁共振数据进行明确解释。为了克服这些基本限制,我们提出了一种无需通过核磁共振直接观察就能获得酸性物种的p值和浓度的方法。相反,我们在一个可自动化运行的单一氢化学位移成像实验中,沿着有机碱的浓度梯度确定从物种中去除的酸性质子的数量。通过简单的线性图来确定p值,避免了复杂且可能不可靠的非线性拟合程序。