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基于在线近红外压片机进料框架测量的片剂转移策略。

Tablet diversion strategy based on in-line NIR tablet press feed frame measurements.

作者信息

Ryckaert Alexander, Cannon Matthew, Beer Thomas De, Kumar Ashish

机构信息

Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium; Pharmaceutical Engineering Research Group (PharmaEng), Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium.

GSK Global Supply Chain, Priory Street, Ware SG12 0DJ, UK.

出版信息

Int J Pharm. 2025 Feb 10;670:125212. doi: 10.1016/j.ijpharm.2025.125212. Epub 2025 Jan 10.

Abstract

The tablet diversion strategy, based on in-line near-infrared (NIR) tablet press feed frame measurements, can be a key component of both batch and continuous oral solid dose manufacturing processes. It enables real-time, high-frequency monitoring and control, enhancing process understanding and compliance compared to conventional interval-based sampling methods. Central to this strategy are NIR spectrometers, which serve as PAT systems for in-line blend uniformity monitoring in the feed of the tablet press. These systems, when linked with the content uniformity of the corresponding tablets, are crucial for the tablet diversion strategy. In-line NIR blend uniformity measurements in the feed frame and off-line Raman tablet content uniformity measurements were performed during step change experiments for varying process settings. The Residence Time Distribution (RTD) from Tank-in-series (TIS) models for both spectroscopic measurement locations were used to derive the RTD from the NIR measurement location in the feed frame to the tablet diverter. This approach allowed prediction of API content in tablets based on in-line NIR measurements at the feed frame, avoiding yield loss by not diverting tablets that meet specifications. The impact of spectral loss during blend uniformity monitoring due to PAT sensor auto-correction was evaluated for all potential deviations during this 20-second period. Combinations of blends with an API content distinct from the target content, along with their durations observed by the NIR probe, that would exceed the upper limit were identified. However, materials that are not within specifications would not be diverted. It was concluded that diversions failing to trigger the diversion would only occur under very extreme and unlikely conditions.

摘要

基于在线近红外(NIR)压片机进料框架测量的片剂分流策略,可成为批量和连续口服固体制剂生产工艺的关键组成部分。与传统的基于间隔的采样方法相比,它能够实现实时、高频监测与控制,增强对工艺的理解并提高合规性。该策略的核心是近红外光谱仪,其作为过程分析技术(PAT)系统用于在线监测压片机进料中的混合均匀度。这些系统与相应片剂的含量均匀度相关联时,对片剂分流策略至关重要。在不同工艺设置的阶跃变化实验期间,对进料框架中的在线近红外混合均匀度测量和离线拉曼片剂含量均匀度测量进行了操作。使用串联罐(TIS)模型对两个光谱测量位置的停留时间分布(RTD),来推导从进料框架中的近红外测量位置到片剂分流器的RTD。这种方法能够基于进料框架处的在线近红外测量预测片剂中的活性成分(API)含量,通过不转移符合规格的片剂避免产量损失。在此20秒期间,针对所有潜在偏差评估了过程分析技术(PAT)传感器自动校正导致的混合均匀度监测期间的光谱损失影响。确定了活性成分(API)含量与目标含量不同的混合物组合,以及近红外探头观察到的超过上限的持续时间。然而,不符合规格的物料不会被转移。得出的结论是,未能触发转移的分流仅会在非常极端且不太可能的条件下发生。

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