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为了全面了解片剂质量,我们使用相似性计算、差示 NMR 和层次聚类分析对扑热息痛片剂进行了广泛的核磁共振研究。

Towards a holistic view of tablet quality, an extensive study on paracetamol tablets with nuclear magnetic resonance using similarity calculations, differential NMR and hierarchical cluster analysis.

机构信息

Grupo Metabolômica, Laboratório de Ciências Quimicas, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Av. Alberto Lamego, 2000, Campos dos Goytacazes, 28013-602, Brazil.

Grupo Metabolômica, Laboratório de Ciências Quimicas, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Av. Alberto Lamego, 2000, Campos dos Goytacazes, 28013-602, Brazil.

出版信息

J Pharm Biomed Anal. 2022 Jun 5;215:114773. doi: 10.1016/j.jpba.2022.114773. Epub 2022 Apr 19.

DOI:10.1016/j.jpba.2022.114773
PMID:35489248
Abstract

The H NMR spectra obtained from 56 different paracetamol tablets were thoroughly investigated to analyse and quantify besides paracetamol, the excipients and eventual minor components present in the formulations. In the NMR spectra the amide-iminol tautomerism of paracetamol was observed, with the iminol form present at a quantity of only 0.80% of the amide form. Furthermore, seventeen different components of the tablets were identified, ranging from major excipients like starch and polyvinylpyrrolidone (PVP) to minor components like different parabens, sorbate and triacetin. The similarity from all spectra in relation to each of the other spectra was calculated and based on the similarity table a hierarchical cluster analysis (HCA) was performed. Each of the components of the DMSO extracts of the tablets was quantified, providing a component table, which also was used for HCA. The quantitative analysis of paracetamol was determined to have a precision of 0.2% using the residual solvent signals as internal standard. The HCA of the similarity data and the component table were compared with the HCAs obtained by analysis of the crude NMR data. This clearly shows the limitations of multivariate data analysis and the strength of similarity calculations combined with differential NMR, especially in relation to the analysis of trace components. In fact, the spectrum is not a series of unrelated variables, but a superposition of a limited number of component spectra, and the quantities of these components were determined.

摘要

对 56 种不同的扑热息痛片剂的 1H NMR 光谱进行了深入研究,以分析和定量除扑热息痛外,还分析了配方中存在的赋形剂和潜在的少量成分。在 NMR 光谱中观察到扑热息痛的酰胺-亚胺互变异构,亚胺形式仅占酰胺形式的 0.80%。此外,还鉴定了片剂的十七种不同成分,范围从主要赋形剂如淀粉和聚乙烯吡咯烷酮(PVP)到不同的对羟基苯甲酸酯、山梨酸盐和三醋酸甘油酯等少量成分。计算了所有光谱相对于彼此的相似度,并基于相似度表进行了层次聚类分析(HCA)。对片剂 DMSO 提取物的每个成分进行了定量,提供了一个成分表,也用于 HCA。使用残留溶剂信号作为内标,确定扑热息痛的定量分析精度为 0.2%。将相似度数据和成分表的 HCA 与通过粗 NMR 数据分析获得的 HCA 进行了比较。这清楚地表明了多元数据分析的局限性和相似性计算与差示 NMR 相结合的优势,特别是在痕量成分分析方面。事实上,光谱不是一系列不相关的变量,而是有限数量的成分光谱的叠加,并且确定了这些成分的数量。

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