Nawaz Touseef, Ullah Niamat, Ali Muhammad, Rab Safia Obaidur, Ahmad Irfan, Baloch Rabia, Chaman Sadia, Shah Kifayat Ullah, Amin Adnan
Department of Pharmaceutics, Faculty of Pharmacy, Gomal University, Dera Ismail Khan, Pakistan.
NPRL, Department of Pharmacognosy, Faculty of Pharmacy, Gomal University, Dera Ismail Khan, Pakistan.
Front Chem. 2025 Aug 8;13:1555449. doi: 10.3389/fchem.2025.1555449. eCollection 2025.
INTRODUCTION: Microbial resistance is a growing global concern, necessitating the development of novel drug delivery system to combat the resistant bacterial strains. We aimed to formulate Eudragit based cinnamon essential oil loaded nanoplatform against resistant microbial strain. METHODS: Nanoparticles were characterized for zeta potential, PDI, particle size, SEM, FTIR, entrapment efficiency and drug release kinetic. Box Behnken design with the quadratic model was used to check the effect of independent factors and dependent factors. RESULTS AND DISCUSSION: The and aureus have shown same MIC value of 1.25 μL/ml while and shown 0.078 and 0.625 μL/ml respectively. Quadratic polynomial equation depicted that stirring speed exhibited negative effect on the PDI, particle size and encapsulation efficiency. The polymer concentration produced positive effect on the particle size, PDI and encapsulation efficiency of the nanoparticles. The predicted response values were as particle size (Y1) 228.9 nm, PDI (Y2) 0.3 and %EE (Y3) 72.75% which were very close to the actual values of response as particle size (Y1) was 230.4 ± 3.46 nm, PDI (Y2) was 0.293 ± 0.022, and %EE (Y3) was 74.9 ± 2.32%. It was concluded that our prepared formulation can be effectively used treat resistant bacterial infections.
引言:微生物耐药性是一个日益引起全球关注的问题,因此需要开发新型药物递送系统来对抗耐药菌株。我们旨在制备基于Eudragit的负载肉桂精油的纳米平台以对抗耐药微生物菌株。 方法:对纳米颗粒进行zeta电位、PDI、粒径、扫描电子显微镜(SEM)、傅里叶变换红外光谱(FTIR)、包封率和药物释放动力学表征。采用具有二次模型的Box Behnken设计来检验独立因素和相关因素的影响。 结果与讨论:金黄色葡萄球菌和表皮葡萄球菌的最低抑菌浓度(MIC)值均为1.25μL/ml,而大肠杆菌和铜绿假单胞菌的MIC值分别为0.078和0.625μL/ml。二次多项式方程表明搅拌速度对PDI、粒径和包封率有负面影响。聚合物浓度对纳米颗粒的粒径、PDI和包封率有正面影响。预测的响应值为粒径(Y1)228.9nm、PDI(Y2)0.3和包封率(%EE,Y3)72.75%,这与响应的实际值非常接近,实际值为粒径(Y1)230.4±3.46nm、PDI(Y2)0.293±0.022和包封率(%EE,Y3)74.9±2.32%。得出的结论是,我们制备的制剂可有效用于治疗耐药细菌感染。
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