A Comparative Mathematical Analysis of Drug Release from Lipid-Based Nanoparticles

IF 3.4 4区医学 Q2 PHARMACOLOGY & PHARMACY

AAPS PharmSciTech Pub Date : 2024-09-05 DOI:10.1208/s12249-024-02922-7

Pedram Porbaha, Ramin Ansari, Mohammad Reza Kiafar, Rahman Bashiry, Mohammad Mehdi Khazaei, Amirhossein Dadbakhsh, Amir Azadi

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Abstract

Mathematical modeling of drug release from drug delivery systems is crucial for understanding and optimizing formulations. This research provides a comparative mathematical analysis of drug release from lipid-based nanoparticles. Drug release profiles from various types of lipid nanoparticles, including liposomes, nanostructured lipid carriers (NLCs), solid lipid nanoparticles (SLNs), and nano/micro-emulsions (NEMs/MEMs), were extracted from the literature and used to assess the suitability of eight conventional mathematical release models. For each dataset, several metrics were calculated, including the coefficient of determination (R²), adjusted R², the number of errors below certain thresholds (5%, 10%, 12%, and 20%), Akaike information criterion (AIC), regression sum square (RSS), regression mean square (RMS), residual sum of square (rSS), and residual mean square (rMS). The Korsmeyer-Peppas model ranked highest among the evaluated models, with the highest adjusted R² values of 0.95 for NLCs and 0.93 for other liposomal drug delivery systems. The Weibull model ranked second, with adjusted R² values of 0.92 for liposomal systems, 0.94 for SLNs, and 0.82 for NEMs/MEMs. Thus, these two models appear to be more effective in forecasting and characterizing the release of lipid nanoparticle drugs, potentially making them more suitable for upcoming research endeavors.

Graphical Abstract

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脂质纳米颗粒药物释放的比较数学分析

药物从给药系统中释放的数学模型对于理解和优化配方至关重要。本研究对基于脂质的纳米颗粒的药物释放进行了比较数学分析。研究人员从文献中提取了各种类型脂质纳米颗粒的药物释放曲线，包括脂质体、纳米结构脂质载体（NLCs）、固体脂质纳米颗粒（SLNs）和纳米/微乳（NEMs/MEMs），并用这些曲线评估了八个传统释放数学模型的适用性。对每个数据集都计算了几个指标，包括判定系数 (R2)、调整后的 R2、低于特定阈值（5%、10%、12% 和 20%）的误差数、阿凯克信息准则 (AIC)、回归平方和 (RSS)、回归均方 (RMS)、残差平方和 (rSS) 和残差均方 (rMS)。在评估的模型中，Korsmeyer-Peppas 模型的调整 R2 值最高，NLC 为 0.95，其他脂质体给药系统为 0.93。Weibull 模型排名第二，脂质体系统的调整 R2 值为 0.92，SLN 为 0.94，NEMs/MEMs 为 0.82。因此，这两个模型在预测和表征脂质纳米粒子药物释放方面似乎更有效，可能更适合即将开展的研究工作。

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来源期刊

AAPS PharmSciTech 医学-药学

CiteScore

6.80

自引率

3.00%

发文量

264

审稿时长

2.4 months

期刊介绍： AAPS PharmSciTech is a peer-reviewed, online-only journal committed to serving those pharmaceutical scientists and engineers interested in the research, development, and evaluation of pharmaceutical dosage forms and delivery systems, including drugs derived from biotechnology and the manufacturing science pertaining to the commercialization of such dosage forms. Because of its electronic nature, AAPS PharmSciTech aspires to utilize evolving electronic technology to enable faster and diverse mechanisms of information delivery to its readership. Submission of uninvited expert reviews and research articles are welcomed.