Compatibility studies of hydrocortisone with excipients using thermogravimetric analysis supported by multivariate statistical analysis

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• 作者：Barbara Rojek ; Marek Wesolowski
• 关键词：Hydrocortisone ; Compatibility/incompatibility ; Thermogravimetry ; Multivariate statistical analysis ; Principal component analysis ; Cluster analysis
• 刊名：Journal of Thermal Analysis and Calorimetry
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：127
• 期：1
• 页码：543-553
• 全文大小：1863KB
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Physical Chemistry; Analytical Chemistry; Polymer Sciences; Inorganic Chemistry; Measurement Science and Instrumentation;
• 出版者：Springer Netherlands
• ISSN：1588-2926
• 卷排序：127

文摘

Application of thermogravimetry (TG) alone to study compatibility/incompatibility of active pharmaceutical ingredients (APIs) with excipients yields to misleading results due to overlapping of the thermal stages in the course of decomposition of both ingredients and their pharmaceutical mixtures. Hence, the purpose of this study was to assess the usefulness of multivariate statistical analysis as a supporting tool for interpretation of the TG traces during assessing compatibility of hydrocortisone as an API with selected excipients (mannitol, starch, lactose, methylcellulose, β-cyclodextrin, meglumine, chitosan, magnesium stearate and polyvinylpyrrolidone). The results show that two multivariate techniques, principal component analysis (PCA) and cluster analysis (CA), can be successfully used for interpretation of TG traces, while the TG is used alone as a screening technique to assess compatibility. The results obtained by using TG analysis, supported by PCA and CA, were approved by those of differential scanning calorimetry, infrared spectroscopy and X-ray powder diffraction. Incompatibilities were only found in mixtures of hydrocortisone with magnesium stearate and β-cyclodextrin.