Plateforme-analytique, Institut de Chimie de Picardie FR CNRS 3085, Université de Picardie Jules Verne, 33 rue Saint Leu, 80039 Amiens, France.
BIOPI EA 3900, Biologie des Plantes et Innovation, Université de Picardie Jules Verne, 1 rue des Louvels, 80000 Amiens, France.
Molecules. 2019 May 7;24(9):1764. doi: 10.3390/molecules24091764.
A global approach that is based on a combination of mass spectrometry (MS) and nuclear magnetic resonance (NMR) data has been developed for a complete and rapid understanding of drug degradation mixtures. We proposed a workflow based on a sample preparation protocol that is compatible to MS and NMR, the selection of the most appropriate experiments for each technique, and the implementation of prediction software and multivariable analysis method for a better interpretation and correlation of MS and NMR spectra. We have demonstrated the efficient quantification of the remaining active pharmaceutical ingredient (API). The unambiguous characterization of degradation products (DPs) was reached while using the potential of ion mobility-mass spectrometry (IM-MS) for fragment ions filtering (HDMS) and the implementation of two-dimensional (2D) NMR experiments with the non-uniform sampling (NUS) method. We have demonstrated the potential of quantitative NMR (qNMR) for the estimation of low level DPs. Finally, in order to simultaneously monitor multi-samples, the contribution of partial least squares (PLS) regression was evaluated. Our methodology was tested on three indapamide forced degradation conditions (acidic, basic, and oxidative) and it could be easily transposed in the drug development field to assist in the interpretation of complex mixtures (stability studies, impurities profiling, and biotransformation screening).
已经开发出一种基于质谱 (MS) 和核磁共振 (NMR) 数据组合的全球方法,用于全面快速了解药物降解混合物。我们提出了一种基于样品制备方案的工作流程,该方案与 MS 和 NMR 兼容,为每种技术选择最合适的实验,并实施预测软件和多变量分析方法,以更好地解释和关联 MS 和 NMR 光谱。我们已经证明了剩余活性药物成分 (API) 的有效定量。在使用离子淌度-质谱 (IM-MS) 进行碎片离子过滤 (HDMS) 的潜力和使用非均匀采样 (NUS) 方法的二维 (2D) NMR 实验的情况下,实现了对降解产物 (DP) 的明确表征。我们已经证明了定量 NMR (qNMR) 用于估计低水平 DP 的潜力。最后,为了同时监测多个样品,评估了偏最小二乘 (PLS) 回归的贡献。我们的方法学已在三种吲达帕胺强制降解条件(酸性、碱性和氧化)下进行了测试,并且可以很容易地在药物开发领域中应用,以帮助解释复杂的混合物(稳定性研究、杂质分析和生物转化筛选)。