The dynamic granulation process of high-speed shear wet granulation (HSWG) was measured by in-line near-infrared spectroscopy (NIRS) and agitation power consumption (APC) methods. Molecular interactions between powder particles and the binding liquid were analyzed based on both NIRS and APC data by multivariable regression analysis. The granulated sample used glass beads ( d 50 = 46 μm) with or without hydroxypropyl cellulose, and the binder solution used purified water. The HSWG granulator (2-L volume) with APC device and NIRS was used, and the agitator was rotated at 600 min −1 and the chopper at 2000 min −1 with glass beads to be granulated being 920 g (0.6 L), and a total of 360 mL of purified water was added at 10 mL/min. In order to establish calibration models to predict APC and amount of binding water of the granular formulations, NIRS spectra of the granular samples were recorded every 10 s for 40 min. The calibration models to predict moisture content and APC were constructed based on the corrected NIRS spectral data by partial least-squares regression (PLSR) analysis. The relationships between actual and predicted values for moisture content and APC produced a straight line, respectively. The regression vector (RV) of the PLS model to predict the water content showed the presence of free water between the bead powder particles. On the other hand, the RV for the APC showed the presence of bound water between the particles.

中文翻译：

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利用近红外光谱和搅拌功耗分析高剪切湿法制粒的制粒机理

通过在线近红外光谱（NIRS）和搅拌功耗（APC）方法测量高速剪切湿法制粒（HSWG）的动态制粒过程。基于 NIRS 和 APC 数据通过多变量回归分析分析粉末颗粒和结合液之间的分子相互作用。颗粒状样品使用玻璃珠（d 50 = 46 μm），含或不含羟丙基纤维素，粘合剂溶液使用纯净水。使用带有 APC 装置和 NIRS 的 HSWG 造粒机（2-L 体积），搅拌器以 600 min -1 旋转，切碎机以 2000 min -1 旋转，待造粒的玻璃珠为 920 g（0.6 L），和以 10 mL/min 的速度加入总共 360 mL 的纯化水。为了建立校准模型来预测颗粒制剂的 APC 和结合水量，每 10 秒记录一次颗粒样品的近红外光谱，持续 40 分钟。基于通过偏最小二乘回归 (PLSR) 分析校正的 NIRS 光谱数据构建用于预测水分含量和 APC 的校准模型。水分含量和 APC 的实际值和预测值之间的关系分别产生一条直线。用于预测含水量的 PLS 模型的回归向量 (RV) 表明珠粒粉末颗粒之间存在游离水。另一方面，APC 的 RV 显示颗粒之间存在结合水。水分含量和 APC 的实际值和预测值之间的关系分别产生一条直线。用于预测含水量的 PLS 模型的回归向量 (RV) 表明珠粒粉末颗粒之间存在游离水。另一方面，APC 的 RV 显示颗粒之间存在结合水。水分含量和 APC 的实际值和预测值之间的关系分别产生一条直线。用于预测含水量的 PLS 模型的回归向量 (RV) 表明珠粒粉末颗粒之间存在游离水。另一方面，APC 的 RV 显示颗粒之间存在结合水。