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Sustained release dosage forms dissolution behavior prediction: a study of matrix tablets using NIR spectroscopy.

机译:缓释剂型溶解行为预测:使用近红外光谱技术的基质片剂研究。

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The objective of this study was to predict dissolution behavior of sustained release theophylline matrix tablets using near infrared (NIR) diffuse reflectance spectroscopy and multivariate calibration models. Eudragit NE 30D was used as a granulation binder to prepare theophylline sustained release tablets. A total of 117 tablets from 5 batches containing different proportions of Eudragit NE 30D were scanned using a NIR spectrometer. The release characteristics of the tablets were investigated in the acetate buffer for 4 h. The percentage release at 1, 2, 3 and 4 h was used to build the PLS calibration models. The Mahalanobis distance in principal component space and the 2nd derivative transformation were used for sample selection prior to building a four 4-factor partial least square (PLS) calibration models for predicting 1, 2, 3 and 4 h release rates. For PLS(1h), the standard error of calibration (SEC), and standard error of prediction (SEP) were 2.8 and 3.4%. For PLS(2h), the SEC and SEP were 2.7 and 3.5%. For PLS(3h), the SEC and SEP were 2.6 and 3.5% and for PLS(4h), the SEC and SEP were 3.0 and 3.5%, respectively. For the first time, NIR spectroscopy was successfully applied to predict drug release in the matrix tablets by correlating dissolution profile of each batch to its corresponding Eudragit NE 30D variation in tablet composition.
机译:这项研究的目的是使用近红外(NIR)漫反射光谱法和多元校准模型预测缓释茶碱基质片剂的溶出行为。将Eudragit NE 30D用作制粒粘合剂以制备茶碱缓释片剂。使用NIR光谱仪对5批次的117片含有不同比例Eudragit NE 30D的片剂进行了扫描。在乙酸盐缓冲液中研究片剂的释放特性4小时。在1、2、3和4小时释放百分比用于建立PLS校准模型。在建立用于预测1、2、3和4 h释放速率的四个4因子偏最小二乘(PLS)校准模型之前,将主成分空间中的马氏距离和二阶导数转换用于样本选择。对于PLS(1h),校准的标准误差(SEC)和预测的标准误差(SEP)分别为2.8%和3.4%。对于PLS(2h),SEC和SEP分别为2.7%和3.5%。对于PLS(3h),SEC和SEP分别为2.6%和3.5%,对于PLS(4h),SEC和SEP分别为3.0%和3.5%。通过将每批的溶出曲线与其片剂组成中相应的Eudragit NE 30D变化相关联,NIR光谱法首次成功地用于预测基质片剂中的药物释放。

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