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Determination of the relative pK_a's of mixtures of organic acids using NMR titration experiments based on aliased ~1H-~(13)C HSQC spectraf

机译:基于别名〜1H-〜(13)C HSQC光谱的NMR滴定实验确定有机酸混合物的相对pK_a

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NMR titrations can be used to simultaneously determine the pK_a's of mixtures of organic acids and bases provided chemical shifts are sensitive to their change of protonation states. Carbons are in principle better probes than protons because their chemical shifts are typically more sensitive to the changes in the electronic densities of the functional groups they are bound to. They are also less prone to overlap, do not suffer from second-order effects and are less sensitive to changes in solvent conditions. Recording HSQC spectra satisfactorily reduces the lack of sensitivity of carbon-detected experiments and the signal dispersion in two dimensions allows to automatically and finely track the drifts of a large number of signals simultaneously. The application of spectral aliasing to the carbon dimensions allows to quickly reach the high resolution required to precisely measure variations in carbon chemical shifts. The paper extends the methodology to the treatment of the data stemming from the simultaneous analysis of mixtures of compounds. It also introduces methods to improve the normalization process and deal with missing points. The application is not limited to the determination of pK_a and can be readily extended to the determination of other chemical constants in experiments where the components of the mixture dynamically compete for substrates other than protons.
机译:NMR滴定可用于同时测定有机酸和碱的混合物的pK_a,条件是化学位移对质子化状态的变化敏感。从原理上讲,碳是比质子更好的探针,因为碳的化学位移通常对与其键合的官能团的电子密度的变化更敏感。它们也不太容易重叠,不会受到二阶效应的影响,并且对溶剂条件的变化不太敏感。记录HSQC光谱可以令人满意地减少碳检测实验缺乏灵敏度的情况,并且二维的信号分散可以同时自动且精确地跟踪大量信号的漂移。将光谱混叠应用于碳尺寸可以快速达到精确测量碳化学位移变化所需的高分辨率。本文将方法学扩展到对化合物混合物同时分析产生的数据进行处理。它还介绍了改进归一化过程和处理缺失点的方法。该应用不限于pK_a的测定,并且可以容易地扩展到实验中其他化学常数的测定,其中混合物的组分动态竞争质子以外的底物。

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