(Peer-Reviewed) Antimicrobial power of biosynthesized Ag nanoparticles using refined Ginkgo biloba leaf extracts
Wenbo ZHUANG 庄文博 ¹, Dafeng HU 胡大峰 ¹, Xudong ZHANG 张旭东 ¹, Kai XIONG 熊凯 ¹, Xiao DING 丁骁 ², Jian LU ³, Yong MAO 毛勇 ¹, Peng YANG 杨鹏 ¹, Chao LIU 刘超 ³, Yanfen WAN 万艳芬 ¹
¹ National Center for International Research on Photoelectric and Energy Materials, Advanced Computing Center, Materials Genome Institute, School of Materials and Energy, Yunnan University, Kunming 650091, China
中国 昆明 云南大学材料与能源学院 材料基因工程（计算）中心 国家光电子能源材料国际联合研究中心
² Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
中国 昆明 中国科学院昆明植物研究所
³ Department of Nuclear Medicine, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China
中国 昆明 云南省肿瘤医院 昆明医科大学第三附属医院核医学科
Abstract
Silver nanoparticles (Ag NPs), relative to existing antibacterial agents, are more effective, less toxic and more economical, and have shown enormous potential for the nanomedicine application. In this work, we report a 'green' method for the rapid and efficient synthesis of Ag NPs using Ginkgo biloba extracts as reducing agent and capping agent. The properties of Ag NPs against fungi and bacteria were investigated.
The results showed that the Ginkgo biloba extracts are crucial for the preparation of uniform and monodispersed Ag NPs. The prepared Ag NPs exhibited remarkable antibacterial activities. The minimum inhibitory concentrations of Ag NPs for Escherichia coli and Pseudomonas aeruginosa were 0.044 and 0.088 μg·mL−1, respectively. Moreover, Ag NPs exhibited excellent bactericidal performance against MDR-Pseudomonas aeruginosa.
It was found that the effect of the antibacterial activity of Ag NPs on Escherichia coli and Staphylococcus aureus was tightly related to the reactive oxygen species accumulation. This research provides guidelines for the efficient green synthesis of Ag NPs and its antibacterial applications.
Separation and identification of mixed signal for distributed acoustic sensor using deep learning
Huaxin Gu, Jingming Zhang, Xingwei Chen, Feihong Yu, Deyu Xu, Shuaiqi Liu, Weihao Lin, Xiaobing Shi, Zixing Huang, Xiongji Yang, Qingchang Hu, Liyang Shao
Opto-Electronic Advances
2025-11-25
