Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's NMIMS (Deemed to be University), Mumbai, India.
Ther Deliv. 2024;15(6):427-447. doi: 10.1080/20415990.2024.2342771. Epub 2024 May 9.
This study aimed to formulate erlotinib hydrochloride (ERT-HCL)-loaded chitosan (CS) and poly (lactic-co-glycolic acid) (PLGA) nanoparticles (NPs) using Quality-by-Design (QbD) to optimize critical quality attributes (CQAs). Quality target product profile (QTPP) and CQAs were initially established. Based on L8-Taguchi screening and risk assessments, central composite design (CCD) design was used to optimize NPs. ERT-HCL-loaded CS-PLGA NPs had a mean particle diameter, zeta potential and entrapment efficiency of 226.50 ± 1.62 d.nm, 27.66 ± 0.64 mV and 78.93 ± 1.94 %w/w, respectively. The NPs exhibited homogenous spherical morphology and sustained release for 72 h. Using systematic QbD approach, ERT-HCL was encapsulated in CS-PLGA NPs, optimizing CQAs. These findings propel future research for improved NSCLC treatment.
本研究旨在使用质量源于设计(QbD)来制定盐酸厄洛替尼(ERT-HCL)负载壳聚糖(CS)和聚乳酸-共-羟基乙酸(PLGA)纳米颗粒(NPs),以优化关键质量属性(CQAs)。首先建立质量目标产品概况(QTPP)和 CQAs。基于 L8-Taguchi 筛选和风险评估,使用中心复合设计(CCD)设计来优化 NPs。ERT-HCL 负载 CS-PLGA NPs 的平均粒径、Zeta 电位和包封效率分别为 226.50±1.62 d.nm、27.66±0.64 mV 和 78.93±1.94 %w/w。NPs 呈现均匀的球形形态,并在 72 h 内持续释放。通过系统的 QbD 方法,将 ERT-HCL 包封在 CS-PLGA NPs 中,优化了 CQAs。这些发现推动了未来对改善 NSCLC 治疗的研究。