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一种新颖的在线近红外光谱应用,用于监测工业规模过程中的片剂薄膜包衣。

A novel in-line NIR spectroscopy application for the monitoring of tablet film coating in an industrial scale process.

机构信息

Institute of Pharmacy and Molecular Biotechnology, Department of Pharmaceutical Technology and Biopharmaceutics, University of Heidelberg, Im Neuenheimer Feld 366, 69120 Heidelberg, Germany.

出版信息

Talanta. 2012 Apr 15;92:26-37. doi: 10.1016/j.talanta.2011.12.034. Epub 2012 Jan 31.

Abstract

Film coating of tablets is a multivariate pharmaceutical unit operation. In this study an innovative in-line Fourier-Transform Near-Infrared Spectroscopy (FT-NIRS) application is described which enables real-time monitoring of a full industrial scale pan coating process of heart-shaped tablets. The tablets were coated with a thin hydroxypropyl methylcellulose (HPMC) film of up to approx. 28 μm on the tablet face as determined by SEM, corresponding to a weight gain of 2.26%. For a better understanding of the aqueous coating process the NIR probe was positioned inside the rotating tablet bed. Five full scale experimental runs have been performed to evaluate the impact of process variables such as pan rotation, exhaust air temperature, spray rate and pan load and elaborate robust and selective quantitative calibration models for the real-time determination of both coating growth and tablet moisture content. Principal Component (PC) score plots allowed each coating step, namely preheating, spraying and drying to be distinguished and the dominating factors and their spectral effects to be identified (e.g. temperature, moisture, coating growth, change of tablet bed density, and core/coat interactions). The distinct separation of HPMC coating growth and tablet moisture in different PCs enabled a real-time in-line monitoring of both attributes. A PLS calibration model based on Karl Fischer reference values allowed the tablet moisture trajectory to be determined throughout the entire coating process. A 1-latent variable iPLS weight gain calibration model with calibration samples from process stages dominated by the coating growth (i.e. ≥ 30% of the theoretically applied amount of coating) was sufficiently selective and accurate to predict the progress of the thin HPMC coating layer. At-line NIR Chemical Imaging (NIR-CI) in combination with PLS Discriminant Analysis (PLSDA) verified the HPMC coating growth and physical changes at the core/coat interface during the initial stages of the coating process. In addition, inter- and intra-tablet coating variability throughout the process could be assessed. These results clearly demonstrate that in-line NIRS and at-line NIR-CI can be applied as complimentary PAT tools to monitor a challenging pan coating process.

摘要

薄膜包衣是一种多变量的制药单元操作。本研究描述了一种创新的在线傅里叶变换近红外光谱(FT-NIRS)应用,该应用能够实时监测全工业规模的盘式包衣过程。通过扫描电子显微镜(SEM)确定片剂表面的羟丙基甲基纤维素(HPMC)薄膜厚度约为 28 μm,对应增重 2.26%。为了更好地理解水基包衣过程,将 NIR 探头置于旋转片剂床内。进行了五次全规模实验运行,以评估诸如锅旋转、排气温度、喷雾速率和锅负载等工艺变量的影响,并详细阐述了用于实时测定涂层生长和片剂水分含量的稳健且具有选择性的定量校准模型。主成分(PC)得分图允许区分每个涂层步骤,即预热、喷涂和干燥,并确定主导因素及其光谱效应(例如温度、水分、涂层生长、片剂床密度变化以及核心/涂层相互作用)。HPMC 涂层生长和片剂水分在不同 PC 中的明显分离使得能够实时在线监测这两个属性。基于卡尔费休参考值的 PLS 校准模型允许在整个涂层过程中确定片剂水分轨迹。基于具有由涂层生长主导的过程阶段(即≥理论应用量的 30%的涂层)的校准样本的 1 个潜在变量 iPLS 增重校准模型具有足够的选择性和准确性,可预测薄 HPMC 涂层的进展。在线近红外化学成像(NIR-CI)与偏最小二乘判别分析(PLSDA)相结合,验证了在涂层过程初始阶段核心/涂层界面处的 HPMC 涂层生长和物理变化。此外,可以评估整个过程中的片剂间和片剂内的涂层可变性。这些结果清楚地表明,在线 NIRS 和在线 NIR-CI 可作为补充 PAT 工具应用于监测具有挑战性的盘式包衣过程。

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