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药品质量控制实验室的智能化转型:挑战与未来趋势

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药品检验涉及的分析仪器与检验项目众多,样品前处理过程繁琐,且当前行业智能化水平不高,导致药品检验仍属于劳动密集型工作。然而,在工业4。0智能制造的时代背景下,质量控制(quality control,QC)实验室的智能化转型已成为行业焦点。同时,受仿制药一致性评价和药品集采政策的推动,制药企业竞争加剧,进一步激发了企业对实验室智能化的内在需求。本文结合制药工业现状及未来趋势,探讨了如何构建数字化和自动化的QC实验室,并指出为了适应连续制造工艺,需从传统的中央实验室模式逐步升级为智能化的分布式质量控制模式。同时还深入剖析了实施过程中的潜在挑战及应对策略,以期为相关从业人员提供构建智能化QC实验室的思路。
Intelligent transformation of pharmaceutical quality control laboratories:challenges and future trends
Drug testing involves many analytical instruments and test items,sample pretreatment is tedious,the industry's intelligence level remains low,making drug testing a labour-intensive job.However,in the era of Industry 4.0 intelligent manufacturing,intelligent transformation of the quality control(QC)laboratory has become the focus of industry.At the same time,driven by consistency evaluation of the quality and efficacy of generic drugs and the centralized procurement policies,pharmaceutical companies have intensified their competition,further stimulating the intrinsic demand for laboratory intelligence.Based on the current state and future trends of the pharmaceutical industry,this review discusses the development of a digital and automated QC laboratory.It points out the necessity of transitioning from the traditional centralized laboratory model to an intelligent,distributed quality control model to accommodate continuous manufacturing processes.At the same time,it also analyses the potential challenges in the implementation process and coping strategies,in order to provide relevant practitioners with ideas for building intelligent QC laboratories.

quality control laboratorydigitalizationautomationcontinuous manufacturingdistributed quality control

黄丽玲、孔玉琼、马恒元

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江苏恒瑞医药股份有限公司,江苏连云港 222000

质量控制实验室 数字化 自动化 连续制造 分布式质量控制

2024

药学学报
中国药学会 中国医学科学院药物研究所

药学学报

CSTPCD北大核心
影响因子:1.274
ISSN:0513-4870
年,卷(期):2024.59(10)