Exopolysaccharide-mediated silver nanoparticles produced by Lactobacillus brevis NM101-1 as antibiotic adjuvant


Цитировать

Полный текст

Открытый доступ Открытый доступ
Доступ закрыт Доступ предоставлен
Доступ закрыт Только для подписчиков

Аннотация

A green, simple and effective approach was performed to synthesize potent silver nanoparticles using bacterial exopolysaccharide as both a reducing and stabilizing agent. The formation of nanoparticles was first screened by measuring the surface plasmon resonance peak around 400 nm using UV-vis spectroscopy. The morphology of the synthesized AgNPs was determined using TEM, which indicated that the AgNPs were spherical in shape and with an average size of 11–25 nm. The presence of elemental silver of the AgNPs was confirmed by EDX analysis. The possible functional groups of EPS responsible for the reduction and stabilization of AgNPs were evaluated using FTIR. The EPS reduced AgNPs showed excellent antibacterial, and antibiofilm activities against various human pathogenic bacteria. In addition, the efficiency of AgNPs with various broad-spectrum antibiotics against the tested strains was evaluated. It is evident that, the antibacterial and antibiofilm activities of the selected antibiotics were increased in the presence of AgNPs. The increase in activity was more pronounced for gram-negative bacteria Pseudomonas aeruginosa and E. coli. Interestingly, the combination of antibiotics with AgNPs has significantly increased the membrane protein leakage and ROS generation than antibiotics or AgNPs alone. This work supports that AgNPs can be used to enhance the activity of existing antibiotics against gram-negative and gram-positive bacteria for the treatment of infectious diseases.

Об авторах

E. Gomaa

Department of Biological and Geological Sciences, Faculty of Education

Автор, ответственный за переписку.
Email: emann7778@yahoo.com
Египет, Cairo

Дополнительные файлы

Доп. файлы
Действие
1. JATS XML

© Pleiades Publishing, Ltd., 2016

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).