Tomuta Ioan, Iovanov Rares, Vonica Andreea Loredana, Leucuta Sorin E
Department of Pharmaceutical Technology and Biopharmaceutics, "Iuliu Hatieganu" University of Medicine and Pharmacy, 41 V. Babes Street, 400023, Cluj-Napoca, Romania.
Sci Pharm. 2011 Oct-Dec;79(4):885-98. doi: 10.3797/scipharm.1108-07. Epub 2011 Oct 13.
A near infrared (NIR) method able to directly quantify the active content in pharmaceutical powder blends used for manufacturing meloxicam tablets, without any sample preparation, was developed and fully validated. To develop calibration models for the assay of meloxicam in powder blends for tableting, the NIR reflectance spectra of different meloxicam powder blends prepared according to a calibration protocol was analysed using different preprocessing methods by partial last-square regression (PLS) and principal component regression (PCR).The best calibration model was found when partial last-square regression (PLS) was used as regression algorithm in association with Smoothing-Savitsky as pre-processing spectrum method. The trueness, precision (repeatability and intermediate precision), accuracy, linearity and range of application of the developed NIR method were validated according to the International Conference of Harmonization (ICH) and Medicine European Agency (EMA) guidelines and found to be fit for its intended purpose.
开发并全面验证了一种近红外(NIR)方法,该方法能够直接定量用于制造美洛昔康片剂的药物粉末混合物中的活性成分,无需任何样品制备。为了建立用于压片的粉末混合物中美洛昔康含量测定的校准模型,使用偏最小二乘回归(PLS)和主成分回归(PCR)的不同预处理方法,分析了根据校准方案制备的不同美洛昔康粉末混合物的近红外反射光谱。当使用偏最小二乘回归(PLS)作为回归算法并结合Savitzky平滑作为光谱预处理方法时,发现了最佳校准模型。根据国际协调会议(ICH)和欧洲药品管理局(EMA)的指南,对所开发的近红外方法的准确性、精密度(重复性和中间精密度)、准确度、线性和应用范围进行了验证,结果表明该方法适用于其预期目的。