应用多元方差分析和广义期望优化n -苄基- n -甲基-1-苯基吡咯[1,2- a]吡嗪-3-羧酰胺片剂的组成和工艺

S. Tishkov, E. Blynskaya, K. Alekseev, V. Alekseev, D. I. Gavrilov
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引用次数: 1

摘要

创造具有抗焦虑活性的药物,而不具有该组药物的主要副作用特征,是一项重要的和具有社会意义的任务。为了实施该计划,在开发具有抗焦虑活性的原始药物的框架内,正在开发GML-1片剂(n -苄基- n -甲基-1-苯基吡咯[1,2-a]吡嗪-3-carboxamide)的组成和制造。本文采用四因素方差分析方法,研究了各组成因素对GML-1片剂生产性能的影响,并对GML-1片剂湿制粒工艺中崩解剂的种类、用量、添加阶段和润滑辅料的选择进行了研究。材料和方法。所使用的材料是:物质- GML-1 (n -苄基- n -甲基-1-苯基吡咯[1,2-a]吡嗪-3-羧酰胺)。辅料:微晶纤维素101 (MCC 101);聚乙烯吡咯烷酮(PVP);交联维酮、交联棉糖钠(CCS)、淀粉乙醇酸钠(SSG);硬脂酸镁(MS),富马酸硬脂酰钠(SSF)。采用湿法造粒和压片法制备复方片剂,并对其主要药物性能和工艺性能进行了研究。研制了模型组合物,并对其药物性能和工艺性能进行了研究。对这些结果进行了分析,确定了这些因素的影响程度及其相互作用。在考虑的大多数情况下,这些因素的相互作用不会导致优化标准发生重大变化。随着崩解剂用量的增加,崩解时间的减少不均匀,因此,将这些赋形剂的用量从4毫克增加到6毫克比从2毫克增加到4毫克的效果更强。因子B对释放度有非线性影响。因素A影响了所考虑的所有优化标准,尤其是PS版本。在使用广义期望方法处理试验结果时,观察到交叉聚维酮的释放和崩解效果最佳,这一点尤为重要。鉴于方差分析结果存在冲突,针对特定因素,采用广义可取性函数对结果值进行附加分析。利用该方法,可以将相互冲突的方差分析结果减少到最优组合。
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APPLICATION OF MULTIVARIATE ANOVA AND GENERALIZED DESIRABILITY TO OPTIMIZE THE COMPOSITION AND TECHNOLOGY OF TABLETS CONTAINING N-BENZYL-N-METHYL-1-PHENYLPYRROLO [1,2-A] PYRAZINE-3-CARBOXAMIDE
The creation of drugs with an anxiolytic activity, which do not have the main side effects characteristic of drugs of this group, is an important and socially significant task. For its implementation, within the framework of the development of an original drug with an anxiolytic activity, the composition and manufacturing of GML-1 tablets (N-benzyl-N-methyl-1-phenylpyrrolo [1,2-a] pyrazine-3-carboxamide) are being developed.The aim of this article is to study, using a four-factor analysis of variance, the influence of composition factors on the manufacturing properties of GML-1 tablets and the selection of the type, the amount, stage of the disintegrant addition and the type of lubricating excipients used in the technology of wet granulation of GML-1 tablets.Materials and methods. The materials used are: the substance – GML-1 (N-benzyl-N-methyl-1-phenylpyrrolo [1,2-a] pyrazine-3-carboxamide). Excipients: microcrystalline cellulose 101 (MCC 101); polyvinylpyrrolidone (PVP); crospovidone, croscarmellose sodium (CCS), sodium starch glycolate (SSG); magnesium stearate (MS), sodium stearyl fumarate (SSF). To obtain tablet mixtures, wet granulation and tableting with the study of their main pharmaceutical and technological properties was used.Results. Model compositions were developed and their pharmaceutical and technological properties were studied. These results have been analyzed, the degree of these factors’ influence and their interactions have been determined. In most of the cases considered, the interactions of the factors did not cause a significant change in the optimization criteria. With an increase in the amount of a disintegrant, the disintegration time decreased unevenly, so an increase in the amount of these excipients from 4 to 6 mg had a stronger effect than from 2 to 4 mg. Factor B affected the release degree non-linearly. Factor A influenced all the optimization criteria considered, especially a PS release. The best release and disintegration were observed with crospovidone, which was of a particular importance when processing the test results using a generalized desirability method.Conclusion. In view of the conflicting variance analysis results, for particular factors, the resulting values were additionally analyzed using the generalized desirability function. The use of this method made it possible to reduce the conflicting variance analysis results to the most optimal composition.
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