Process Analytical Technology Tools for Monitoring Pharmaceutical Unit Operations: A Control Strategy for Continuous Process Verification

过程分析技术 医药制造业 设计质量 质量保证 关键质量属性 过程(计算) 计算机科学 质量(理念) 制药工业 制造工程 工艺验证 统计过程控制 机组运行 产品(数学) 过程控制 可靠性工程 过程能力 工艺工程 在制品 工程类 验证和确认 运营管理 数学 医学 化学工程 外部质量评估 下游(制造业) 生物信息学 哲学 生物 几何学 操作系统 认识论 药理学
作者
Eun Ji Kim,Ji Hyeon Kim,Min‐Soo Kim,Seong Hoon Jeong,Du Hyung Choi
出处
期刊:Pharmaceutics [MDPI AG]
卷期号:13 (6): 919-919 被引量:81
标识
DOI:10.3390/pharmaceutics13060919
摘要

Various frameworks and methods, such as quality by design (QbD), real time release test (RTRT), and continuous process verification (CPV), have been introduced to improve drug product quality in the pharmaceutical industry. The methods recognize that an appropriate combination of process controls and predefined material attributes and intermediate quality attributes (IQAs) during processing may provide greater assurance of product quality than end-product testing. The efficient analysis method to monitor the relationship between process and quality should be used. Process analytical technology (PAT) was introduced to analyze IQAs during the process of establishing regulatory specifications and facilitating continuous manufacturing improvement. Although PAT was introduced in the pharmaceutical industry in the early 21st century, new PAT tools have been introduced during the last 20 years. In this review, we present the recent pharmaceutical PAT tools and their application in pharmaceutical unit operations. Based on unit operations, the significant IQAs monitored by PAT are presented to establish a control strategy for CPV and real time release testing (RTRT). In addition, the equipment type used in unit operation, PAT tools, multivariate statistical tools, and mathematical preprocessing are introduced, along with relevant literature. This review suggests that various PAT tools are rapidly advancing, and various IQAs are efficiently and precisely monitored in the pharmaceutical industry. Therefore, PAT could be a fundamental tool for the present QbD and CPV to improve drug product quality.
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