Enhancing quality-by-design through weighted goal programming: a case study on formulation of ultradeformable liposomes.

IF 2.4 4区 医学 Q3 CHEMISTRY, MEDICINAL
Sonia Valverde Cabeza, Pedro Luis González-R, María Luisa González-Rodríguez
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引用次数: 0

Abstract

Introduction: Optimization of pharmaceutical formulations requires advanced tools to ensure quality, safety, and efficacy. quality-by-design (QbD), introduced by the FDA, emphasizes understanding and controlling processes early in development. Advanced optimization methods, such as desirability, have surpassed traditional single-objective techniques. Others, such as weighted goal programming (WGP) offers unique advantages by integrating decision-maker preferences, enabling balanced solutions for complex drug delivery systems. This study applies WGP to optimize timolol (TM)-loaded nanoliposomes aligning with QbD principles.

Methods: The optimization process followed six steps: identifying factors and responses, developing a Design of Experiments (DoE) plan, defining ideal and anti-ideal points, setting aspiration levels, assigning relative weights, and applying WGP compared to desirability function. Minimized and balanced deviations from aspiration levels served as criteria for selecting the most robust optimization results. Six responses were analyzed: vesicle size (z1), polydispersity index (z2), zeta potential (z3), deformability index (z4), phosphorus content (z5), and drug entrapment efficiency (z6).

Results: WGP produced a more balanced formulation that simultaneously optimized multiple responses. By incorporating the importance of each response, the WGP approach improved control over size, colloidal stability, and drug entrapment, based on its mathematical formulation. Comparative analysis with the desirability function confirmed that WGP effectively addressed potential tradeoffs without oversimplifying conflicting objectives.

Conclusions: This case-study demonstrates WGP potential as an advanced multi-objective optimization tool for pharmaceutical applications, improving upon traditional methods in complex formulations. Its ability to harmonize multiple critical attributes in line with QbD highlights its value in developing high-quality pharmaceutical products.

通过加权目标规划提高设计质量:超成形脂质体配方的案例研究。
药物配方的优化需要先进的工具来保证质量、安全性和有效性。质量设计(QbD)由FDA引入,强调在开发早期理解和控制过程。先进的优化方法,如可取性,已经超越了传统的单目标技术。其他方法,如加权目标规划(WGP),通过整合决策者偏好,为复杂的给药系统提供平衡的解决方案,具有独特的优势。本研究应用WGP优化负载噻莫洛尔的纳米脂质体,符合QbD原则。方法:优化过程分为六个步骤:确定因素和响应,制定实验设计(DoE)计划,确定理想和反理想点,设置期望水平,分配相对权重,并将WGP与期望函数进行比较。最小和平衡偏离期望水平作为选择最稳健的优化结果的标准。分析了囊泡大小(z1)、多分散性指数(z2)、zeta电位(z3)、可变形性指数(z4)、磷含量(z5)和药物包封效率(z6) 6个指标。结果:WGP的配方更加平衡,同时优化了多种反应。通过结合每种反应的重要性,基于其数学公式,WGP方法改进了对粒径、胶体稳定性和药物夹带的控制。与期望函数的比较分析证实,WGP有效地解决了潜在的权衡,而不会过度简化相互冲突的目标。结论:本案例研究证明了WGP作为一种先进的多目标优化工具的潜力,可以改进传统方法在复杂配方中的应用。其协调符合QbD的多个关键属性的能力突出了其在开发高质量药品方面的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.80
自引率
0.00%
发文量
82
审稿时长
4.5 months
期刊介绍: The aim of Drug Development and Industrial Pharmacy is to publish novel, original, peer-reviewed research manuscripts within relevant topics and research methods related to pharmaceutical research and development, and industrial pharmacy. Research papers must be hypothesis driven and emphasize innovative breakthrough topics in pharmaceutics and drug delivery. The journal will also consider timely critical review papers.
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