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PROCESS FOR DETERMINING PHYSICAL PROPERTIES OF PHARMACEUTICAL COMPRESSED TABLETS BY NIR-CHEMOMETRIC METHODS

机译:近红外化学法测定药品压缩片剂物理性能的方法

摘要

The invention relates to a process for developing and validating near-infrared spectroscopy and multivariate analysis methods for determining the physical properties of pharmaceutical compressed tablets. According to the invention, the process consists, in a first stage, in developing a method using calibration samples prepared according to an experimental programme, with a variable consisting of the compression force and 5...9 variation levels consisting of various values of the compression force, within the range of 5...50 kN, which are the forces at which the compressed tablets of the calibration samples are prepared, the method development being finished by achieving a multivariate calibration model able to quantisize correlations between the physical properties of compressed tables within the calibration samples and the NIR spectra thereof, followed by a second stage consisting in validating the method, using validation samples prepared according to an experimental programme with one variable and three levels, where the variable is the compression force and the levels are the various values of the compression force within the range of 5...50 kN, corresponding to 1/4, 1/ 2 and 3/4, respectively, from the values of the level scale employed upon calibration, the method being validated by comparing the values obtained through the method developed during the first stage with the values obtained through the European Pharmacopoeia methodology, while calculating the following statistic parameters: linearity, linearity range, exactness, precision and accuracy.
机译:本发明涉及用于确定药物压制片剂的物理性质的开发和验证近红外光谱的方法和多元分析方法。根据本发明,该方法在第一阶段中包括开发一种方法,该方法使用根据实验程序制备的校准样品,该变量具有由压缩力组成的变量和由不同值的压缩力组成的5 ... 9变化水平。压缩力在5 ... 50 kN的范围内,这是制备校准样品压片的力,方法的开发通过获得能够量化样品物理性质之间相关性的多元校准模型来完成校准样品中的压缩表及其近红外光谱,然后进行第二步,包括验证方法,使用根据实验程序制备的验证样品,该实验样品具有一个变量和三个级别,其中变量为压缩力,级别为在5 ... 50 kN范围内的各种压力值,分别对应于1 / 4、1 / 2和3/4,从校准时使用的水平标度值分别比较第一阶段开发的方法获得的值与欧洲药典方法获得的值,同时计算以下统计参数,以验证该方法:线性,线性范围,准确性,精确度和准确性。

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