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研究载万古霉素大豆蛋白纳米颗粒的抗菌活性。

Investigating the Antimicrobial Activity of Vancomycin-Loaded Soy Protein Nanoparticles.

作者信息

Zare-Zardini Hadi, Soltaninejad Hossein, Ghorani-Azam Adel, Forouzani-Moghaddam Mohammad Javad, Mozafri Sima, Akhoundi-Meybodi Zohreh, Ferdosian Farzad, Jabinian Fatemeh

机构信息

Department of Biomedical Engineering, Meybod University, Meybod, Iran.

Hematology and Oncology Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

出版信息

Interdiscip Perspect Infect Dis. 2022 Jun 29;2022:5709999. doi: 10.1155/2022/5709999. eCollection 2022.

Abstract

Developing targeted and slow-release antibiotic delivery systems can effectively reduce drug overdose and side effects. This study aimed to investigate the antimicrobial activity of vancomycin-loaded soy protein nanoparticles (vancomycin-SPNs). For the preparation of SPNs, the desolvation method was applied in different concentrations of vancomycin and soy protein (15:5, 10:15, 6:20, 8:25, and 10:30 of vancomycin:soy protein). Scanning electron microscope (SEM), transmission electron microscopy (TEM), dynamic light scattering (DLS), and FTIR were used for nanoparticle characterization. Antibacterial activity was evaluated by the radial diffusion assay (RDA) and absorbance methods. Proper synthesis was demonstrated by characterization. The best drug loading (% entrapment efficiency = 90.2%), the fastest release rate (% release = 88.2%), and the best antibacterial activity were observed in ratio 10:30 of vancomycin:SPNs. Results showed that SPNs are a potent delivery system for antibiotic loading and slow release to control antibiotic use.

摘要

开发靶向和缓释抗生素递送系统可以有效减少药物过量和副作用。本研究旨在研究载万古霉素大豆蛋白纳米颗粒(万古霉素-SPNs)的抗菌活性。为了制备SPNs,采用去溶剂化方法,使用不同浓度的万古霉素和大豆蛋白(万古霉素与大豆蛋白的比例为15:5、10:15、6:20、8:25和10:30)。利用扫描电子显微镜(SEM)、透射电子显微镜(TEM)、动态光散射(DLS)和傅里叶变换红外光谱(FTIR)对纳米颗粒进行表征。通过径向扩散试验(RDA)和吸光度法评估抗菌活性。通过表征证明了合成的正确性。在万古霉素与SPNs比例为10:30时,观察到最佳载药量(包封率=90.2%)、最快释放率(释放率=88.2%)和最佳抗菌活性。结果表明,SPNs是一种有效的抗生素负载和缓释递送系统,可用于控制抗生素的使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2834/9259352/35983889565f/IPID2022-5709999.001.jpg

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