Suppr超能文献

含没食子酸和氧化锌纳米粒子的生物纳米复合薄膜的物理机械优化及抗菌性能

Physico-Mechanical Optimization and Antimicrobial Properties of the Bionanocomposite Films Containing Gallic Acid and Zinc Oxide Nanoparticles.

作者信息

Karami Azin, Ghanbarzadeh Babak, Fakhri Leila Abolghasemi, Falcone Pasquale M, Hosseini Mohammadyar

机构信息

Department of Food Science and Technology, Faculty of Agriculture, University of Tabriz, Tabriz P.O. Box 51666-16471, Iran.

Department of Food Engineering, Faculty of Engineering, Near East University, 99138 Nicosia, Northern Cyprus, Turkey.

出版信息

Nanomaterials (Basel). 2023 May 31;13(11):1769. doi: 10.3390/nano13111769.

Abstract

The mechanical and physical properties of the bionanocomposite films based on κ-carrageenan (KC)-gelatin (Ge) containing zinc oxide nanoparticles (ZnONPs) and gallic acid (GA) were optimized using the response surface method, and the optimum amounts of 11.19 wt% GA and 1.20 wt% ZnONPs were obtained. The results of XRD, SEM, and FT-IR tests showed the uniform distribution of the ZnONPs and GA in the film microstructure, and suitable interactions between biopolymers and these additives, which led to increasing the structural cohesion of the biopolymer matrix and improving the physical and mechanical properties of the KC-Ge-based bionanocomposite. In the films containing gallic acid and ZnONPs, an antimicrobial effect was not observed against ; however, the GA-loaded and optimum films show an antimicrobial effect against . The optimum film showed a higher inhibition effect against compared to the ampicillin- and gentamicin-loaded discs.

摘要

基于κ-卡拉胶(KC)-明胶(Ge)并含有氧化锌纳米颗粒(ZnONPs)和没食子酸(GA)的生物纳米复合膜的机械和物理性能通过响应面法进行了优化,获得了11.19 wt% GA和1.20 wt% ZnONPs的最佳用量。X射线衍射(XRD)、扫描电子显微镜(SEM)和傅里叶变换红外光谱(FT-IR)测试结果表明,ZnONPs和GA在膜微观结构中均匀分布,生物聚合物与这些添加剂之间存在适当的相互作用,这导致生物聚合物基质的结构凝聚力增加,并改善了基于KC-Ge的生物纳米复合材料的物理和机械性能。在含有没食子酸和ZnONPs的膜中,未观察到对……的抗菌效果;然而,负载GA的最佳膜对……显示出抗菌效果。与负载氨苄青霉素和庆大霉素的圆盘相比,最佳膜对……显示出更高的抑制效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0998/10254433/cd8da691d27d/nanomaterials-13-01769-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验