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Quality by Design Micro-Engineering Optimisation of NSAID-Loaded Electrospun Fibrous Patches

机译:NSAID负载电纺纤维补丁的微工程优化设计质量

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摘要

The purpose of this study was to apply the Quality by Design (QbD) approach to the electrospinning of fibres loaded with the nonsteroidal anti-inflammatory drugs (NSAIDs) indomethacin (INDO) and diclofenac sodium (DICLO). A Quality Target Product Profile (QTPP) was made, and risk assessments (preliminary hazard analysis) were conducted to identify the impact of material attributes and process parameters on the critical quality attributes (CQAs) of the fibres. A full factorial design of experiments (DoE) of 20 runs was built, which was used to carry out experiments. The following factors were assessed: Drugs, voltage, flow rate, and the distance between the processing needle and collector. Release studies exhibited INDO fibres had greater total release of active drug compared to DICLO fibres. Voltage and distance were found to be the most significant factors of the experiment. Multivariate statistical analytical software helped to build six feasible design spaces and two flexible, universal design spaces for both drugs, at distances of 5 cm and 12.5 cm, along with a flexible control strategy. The current findings and their analysis confirm that QbD is a viable and invaluable tool to enhance product and process understanding of electrospinning for the assurance of high-quality fibres.
机译:这项研究的目的是应用质量设计(QbD)方法对装有非甾体抗炎药(NSAIDs)消炎痛(INDO)和双氯芬酸钠(DICLO)的纤维进行静电纺丝。进行了质量目标产品简介(QTPP),并进行了风险评估(初步危害分析),以识别材料属性和工艺参数对纤维的关键质量属性(CQA)的影响。建立了20次运行的完整因子设计实验(DoE),用于进行实验。评估了以下因素:药物,电压,流速以及处理针与收集器之间的距离。释放研究表明,与DICLO纤维相比,INDO纤维具有更大的活性药物总释放。发现电压和距离是实验中最重要的因素。多元统计分析软件帮助建立了两种药物的6个可行设计空间和2个灵活的通用设计空间(距离分别为5 cm和12.5 cm)以及灵活的控制策略。当前的发现及其分析证实,QbD是增强产品和工艺对静电纺丝以确保高质量纤维的理解的可行且宝贵的工具。

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