Qushawy Mona
Department of Pharmaceutics, Faculty of Pharmacy, University of Tabuk, Tabuk 71491, Saudi Arabia.
Pharm Nanotechnol. 2021;9(3):200-209. doi: 10.2174/2211738509666210222143716.
Metformin (MF) is an antidiabetic drug that belongs to class III of the biopharmaceutical classification system (BCS) characterized by high solubility and low permeability.
The study aimed to prepare metformin as nanostructured lipid carriers (MF-NLCs) to control the drug release and enhance its permeability through the biological membrane.
2 full factorial design was used to make the design of MF-NLCs formulations. MFNLCs were prepared by hot-melt homogenization-ultra sonication technique using beeswax as solid lipid in the presence of liquid lipid (either capryol 90 or oleic acid) and surfactant (either poloxamer 188 or tween 80).
The entrapment efficiency (EE%) of MF-NLCs was ranged from 85.2±2.5 to 96.5±1.8%. The particle size was in the nanoscale (134.6±4.1 to 264.1±4.6 nm). The value of zeta potential has a negative value ranged from -25.6±1.1 to -39.4±0.9 mV. The PDI value was in the range of 0.253±0.01 to 0.496±0.02. The cumulative drug release was calculated for MF-NLCs and it was found that Q ranged from 90.5±1.7% for MF-NLC1 to 99.3±2.8 for MF-NLC4. Infra-red (IR) spectroscopy and differential scanning calorimetry (DSC) studies revealed the compatibility of the drug with other ingredients. MF-NLC4 was found to be the optimized formulation with the best responses.
2 full factorial design succeed to obtain an optimized formulation which controls the drug release and increases the drug penetration.
二甲双胍(MF)是一种抗糖尿病药物,属于生物药剂学分类系统(BCS)的III类,其特点是高溶解性和低渗透性。
本研究旨在制备二甲双胍纳米结构脂质载体(MF-NLCs),以控制药物释放并增强其透过生物膜的渗透性。
采用二因素全因子设计来制备MF-NLCs制剂。在液体脂质(辛酸癸酸甘油三酯90或油酸)和表面活性剂(泊洛沙姆188或吐温80)存在的情况下,使用蜂蜡作为固体脂质,通过热熔均质-超声技术制备MF-NLCs。
MF-NLCs的包封率(EE%)在85.2±2.5%至96.5±1.8%之间。粒径处于纳米级(134.6±4.1至264.1±4.6 nm)。zeta电位值为负值,范围在-25.6±1.1至-39.4±0.9 mV之间。PDI值在0.253±0.01至(0.496±0.02)范围内。计算了MF-NLCs的累积药物释放量,发现Q值从MF-NLC1的90.5±1.7%到MF-NLC4的99.3±2.8%不等。红外(IR)光谱和差示扫描量热法(DSC)研究揭示了药物与其他成分的相容性。发现MF-NLC4是具有最佳响应的优化制剂。
二因素全因子设计成功获得了一种优化制剂,该制剂可控制药物释放并增加药物渗透性。