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基于紫外可见光谱法,运用质量源于设计(AQbD)原则开发并验证一种在线原料药定量方法,以监测和优化连续热熔挤出过程。

Development and Validation of an In-Line API Quantification Method Using AQbD Principles Based on UV-Vis Spectroscopy to Monitor and Optimise Continuous Hot Melt Extrusion Process.

作者信息

Almeida Juan, Bezerra Mariana, Markl Daniel, Berghaus Andreas, Borman Phil, Schlindwein Walkiria

机构信息

Leicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK.

ColVisTec AG, 12489 Berlin, Germany.

出版信息

Pharmaceutics. 2020 Feb 12;12(2):150. doi: 10.3390/pharmaceutics12020150.

Abstract

A key principle of developing a new medicine is that quality should be built in, with a thorough understanding of the product and the manufacturing process supported by appropriate process controls. Quality by design principles that have been established for the development of drug products/substances can equally be applied to the development of analytical procedures. This paper presents the development and validation of a quantitative method to predict the concentration of piroxicam in Kollidon VA 64 during hot melt extrusion using analytical quality by design principles. An analytical target profile was established for the piroxicam content and a novel in-line analytical procedure was developed using predictive models based on UV-Vis absorbance spectra collected during hot melt extrusion. Risks that impact the ability of the analytical procedure to measure piroxicam consistently were assessed using failure mode and effect analysis. The critical analytical attributes measured were colour (L* lightness, b* yellow to blue colour parameters-in-process critical quality attributes) that are linked to the ability to measure the API content and transmittance. The method validation was based on the accuracy profile strategy and ICH Q2(R1) validation criteria. The accuracy profile obtained with two validation sets showed that the 95% β-expectation tolerance limits for all piroxicam concentration levels analysed were within the combined trueness and precision acceptance limits set at ±5%. The method robustness was tested by evaluating the effects of screw speed (150-250 rpm) and feed rate (5-9 g/min) on piroxicam content around 15% . In-line UV-Vis spectroscopy was shown to be a robust and practical PAT tool for monitoring the piroxicam content, a critical quality attribute in a pharmaceutical HME process.

摘要

开发新药的一个关键原则是应将质量融入其中,要在适当的过程控制支持下,对产品和制造工艺有透彻的了解。为药品/药物研发确立的质量源于设计原则同样可应用于分析方法的开发。本文介绍了一种定量方法的开发与验证,该方法运用质量源于设计原则预测热熔挤出过程中聚乙烯吡咯烷酮VA 64中吡罗昔康的浓度。针对吡罗昔康含量建立了分析目标轮廓,并基于热熔挤出过程中收集的紫外可见吸收光谱,利用预测模型开发了一种新型在线分析方法。采用失效模式与效应分析评估了影响分析方法持续测定吡罗昔康能力的风险。所测定的关键分析属性为颜色(L明度、b黄蓝颜色参数——过程关键质量属性),其与测定原料药含量和透光率的能力相关。方法验证基于准确度轮廓策略和ICH Q2(R1)验证标准。用两个验证集得到的准确度轮廓表明,所分析的所有吡罗昔康浓度水平的95%β-期望容差限均在设定为±5%的综合准确度和精密度可接受限度内。通过评估螺杆速度(150 - 250转/分钟)和进料速率(5 - 9克/分钟)对约15%吡罗昔康含量的影响,测试了方法的稳健性。在线紫外可见光谱法被证明是一种稳健且实用的过程分析技术工具,可用于监测吡罗昔康含量,这是药物热熔挤出过程中的一个关键质量属性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4524/7076712/834a1819ad1c/pharmaceutics-12-00150-g001.jpg

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