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Near infrared spectroscopy combination with PLS to monitor the parameters of naproxen tablet preparation process

机译:近红外光谱结合PLS监测萘普生片剂制备工艺参数

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Near infrared spectroscopy (NIRs) in combination with chemometrical techniques partial least squares is an effective, expeditious and nondestructive technique to analyse various parameters of interest to the pharmaceutical industry. In this work, we explored the use of NIR spectroscopy for the determination of physical (compression force, tablet hardness, mean particle size and particle size distribution) and chemical parameters (content uniformity). To measure tablet content uniformity, naproxen tablets with drug content ranging from 80% to 120% were made and analyzed using high performance liquid chromatography (HPLC) and NIR spectroscopy. For models of the compression force and hardness, the tablets were made by Rotary tablet press and the compression force was varied from 5.7 to 46.0 kN. The samples of mean particle size and particle size distribution were passed through sieves of different sieve opening to obtain six size fractions. The correlation coefficient (R), root mean square error of calibration (RMSEC), root mean square error of prediction (RMSEP) and root mean square error of cross-validation (RMSECV) have been used to assess the predictive ability and robustness of the different partial least squares (PLS) models.
机译:近红外光谱(NIR)与化学计量学技术结合使用的最小二乘最小二乘法是一种有效,快捷且无损的技术,可用于分析制药行业感兴趣的各种参数。在这项工作中,我们探索了使用近红外光谱法测定物理(压缩力,片剂硬度,平均粒径和粒径分布)和化学参数(含量均匀性)的方法。为了测量片剂含量的均一性,制得了含量为80%至120%的萘普生片剂,并使用高效液相色谱(HPLC)和NIR光谱分析。对于压制力和硬度的模型,通过旋转压片机制备片剂,压制力在5.7至46.0 kN之间变化。将平均粒度和粒度分布的样品通过不同筛孔的筛子,以获得六个粒度级分。相关系数(R),校准的均方根误差(RMSEC),预测的均方根误差(RMSEP)和交叉验证的均方根误差(RMSECV)已用于评估该模型的预测能力和鲁棒性不同的偏最小二乘(PLS)模型。

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