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2D-Cosy NMR Spectroscopy as a Quantitative Tool in Biological Matrix: Application to Cyclodextrins

机译:二维-舒适NMR光谱作为生物基质中的定量工具:在环糊精中的应用

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摘要

Classical analytical quantifications in biological matrices require time-consuming sample pre-treatments and extractions. Nuclear magnetic resonance (NMR) analysis does not require heavy sample treatments or extractions which therefore increases its accuracy in quantification. In this study, even if quantitative (q)NMR could not be applied to 2D spectra, we demonstrated that cross-correlations and diagonal peak intensities have a linear relationship with the analyzed pharmaceutical compound concentration. This work presents the validation process of a 2D-correlation spectroscopy (COSY) NMR quantification of 2-hydroxypropyl-β-cyclodextrin in plasma. Specificity, linearity, precision (repeatability and intermediate precision), trueness, limits of quantification (LOQs), and accuracy were used as validation criteria. 2D-NMR could therefore be used as a valuable and accurate analytical technique for the quantification of pharmaceutical compounds, including hardly detectable compounds such as cyclodextrins or poloxamers, in complex biological matrices based on a calibration curve approach.
机译:生物基质中的经典分析定量方法需要耗时的样品预处理和提取。核磁共振(NMR)分析不需要大量的样品处理或提取,因此可以提高定量的准确性。在这项研究中,即使不能将定量(q)NMR应用于2D光谱,我们也证明互相关和对角峰强度与所分析的药物化合物浓度具有线性关系。这项工作提出了血浆中2-羟丙基-β-环糊精的二维相关光谱(COSY)NMR定量验证过程。特异性,线性,精度(重复性和中间精度),真实性,定量限(LOQ)和准确性均用作验证标准。因此,基于校准曲线方法,二维核磁共振可作为一种有价值且准确的分析技术,用于量化复杂生物基质中药物化合物的定量,包括难检化合物,例如环糊精或泊洛沙姆。

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