Duquesne University, Pittsburgh, PA 15282, United States.
Duquesne University, Pittsburgh, PA 15282, United States.
Int J Pharm. 2022 Feb 25;614:121363. doi: 10.1016/j.ijpharm.2021.121363. Epub 2021 Dec 22.
A material sparing method for near-infrared (NIR) calibration was developed using an offline apparatus coupled with a calibration transfer method to enable a partial least squares (PLS) model to monitor the concentration of active pharmaceutical ingredients (API) in the feed frame of a rotary tablet press. The offline apparatus was designed to simulate the powder flow dynamic and NIRS measurement environment of a tablet-press feed frame. A comprehensive experimental design, including calibration and testing, was employed to determine blend inhomogeneity. NIR spectra were collected at both the feed frame (inline) conditions and the simulator (offline) conditions. The simulator conditions were designed to mimic the density and powder flow in the feed frame during the actual tableting process. The offline data were pretreated by an orthogonalization-based calibration transfer algorithm, a continuum regression filter (CR filter), before being subjected to PLS modeling. This study demonstrated: (1) calibration for inline application can be generated using an offline apparatus, and (2) the CR filter, as an innovative calibration transfer method, can generalize the offline method for multiple feed frame conditions.
采用离线装置结合校准传递方法开发了一种近红外(NIR)校准的节约材料方法,使偏最小二乘法(PLS)模型能够监测旋转压片机进料架中活性药物成分(API)的浓度。该离线装置旨在模拟粉末流动动力学和压片机进料架的 NIRS 测量环境。采用综合实验设计,包括校准和测试,来确定混合物的不均匀性。在进料架(在线)条件和模拟器(离线)条件下收集 NIR 光谱。模拟器条件旨在模拟实际压片过程中进料架中的密度和粉末流动。通过基于正交化的校准传递算法和连续回归滤波器(CR 滤波器)对离线数据进行预处理,然后进行 PLS 建模。本研究表明:(1)可以使用离线装置生成用于在线应用的校准,(2)CR 滤波器作为一种创新的校准传递方法,可以将离线方法推广到多个进料架条件。