Suppr超能文献

采用过程分析技术(PAT)控制新型原料药生产工艺:开发、验证和实施。

A Process Analytical Technology (PAT) approach to control a new API manufacturing process: development, validation and implementation.

机构信息

UCB Pharma, Analytical Development Chemicals, Avenue de l'Industrie, 1420 Braine-l'Alleud, Belgium; Institut des Sciences Moléculaires de Marseille, CNRS, UMR 7313, École Centrale Marseille, Aix Marseille Université, Avenue Escadrille Normandie-Niemen, Case A62, 13397 Marseille cedex 20, France.

UCB Pharma, Analytical Development Chemicals, Avenue de l'Industrie, 1420 Braine-l'Alleud, Belgium.

出版信息

Talanta. 2014 Mar;120:114-25. doi: 10.1016/j.talanta.2013.11.072. Epub 2013 Dec 2.

Abstract

Pharmaceutical companies are progressively adopting and introducing Process Analytical Technology (PAT) and Quality-by-Design (QbD) concepts promoted by the regulatory agencies, aiming the building of the quality directly into the product by combining thorough scientific understanding and quality risk management. An analytical method based on near infrared (NIR) spectroscopy was developed as a PAT tool to control on-line an API (active pharmaceutical ingredient) manufacturing crystallization step during which the API and residual solvent contents need to be precisely determined to reach the predefined seeding point. An original methodology based on the QbD principles was designed to conduct the development and validation of the NIR method and to ensure that it is fitted for its intended use. On this basis, Partial least squares (PLS) models were developed and optimized using chemometrics methods. The method was fully validated according to the ICH Q2(R1) guideline and using the accuracy profile approach. The dosing ranges were evaluated to 9.0-12.0% w/w for the API and 0.18-1.50% w/w for the residual methanol. As by nature the variability of the sampling method and the reference method are included in the variability obtained for the NIR method during the validation phase, a real-time process monitoring exercise was performed to prove its fit for purpose. The implementation of this in-process control (IPC) method on the industrial plant from the launch of the new API synthesis process will enable automatic control of the final crystallization step in order to ensure a predefined quality level of the API. In addition, several valuable benefits are expected including reduction of the process time, suppression of a rather difficult sampling and tedious off-line analyses.

摘要

制药公司正在逐步采用和引入监管机构推广的过程分析技术(PAT)和质量源于设计(QbD)理念,旨在通过深入的科学理解和质量风险管理,将质量直接构建到产品中。已经开发了一种基于近红外(NIR)光谱的分析方法作为 PAT 工具,以在线控制原料药(API)制造结晶步骤,在此过程中需要精确确定 API 和残留溶剂的含量,以达到预设的成核点。设计了一种基于 QbD 原则的原始方法,用于开发和验证 NIR 方法,并确保其适用于预期用途。在此基础上,使用化学计量学方法开发和优化了偏最小二乘(PLS)模型。该方法根据 ICH Q2(R1)指南并使用准确度概况方法进行了全面验证。评估了剂量范围,API 的范围为 9.0-12.0%w/w,残留甲醇的范围为 0.18-1.50%w/w。由于采样方法和参考方法的变异性自然包含在验证阶段 NIR 方法获得的变异性中,因此进行了实时过程监测实验,以证明其适用于目的。从新 API 合成工艺启动开始,在工业工厂中实施这种过程控制(IPC)方法,将能够自动控制最终结晶步骤,以确保 API 具有预定的质量水平。此外,预计还将带来几个有价值的好处,包括减少工艺时间、抑制相当困难的采样和繁琐的离线分析。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验