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Preparation and evaluation of the ZnO NP-Ampicillin/Sulbactam nanoantibiotic: Optimization of formulation variables using RSM coupled GA method and antibacterial activities

Sharma, Nidhi and Singh, Vineeta and Pandey, Asheesh Kumar and Mishra, Bhartendu Nath and Kulsoom, Maria and Dasgupta, Nandita and Khan, Saif and El-Enshasy, Hesham A. and Haque, Shafiul (2019) Preparation and evaluation of the ZnO NP-Ampicillin/Sulbactam nanoantibiotic: Optimization of formulation variables using RSM coupled GA method and antibacterial activities. Biomolecules, 9 (12). p. 764. ISSN 2218-273X

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Official URL: http://dx.doi.org/10.3390/biom9120764

Abstract

Nanoparticles (NPs) possessing antibacterial activity represent an effective way of overcoming bacterial resistance. In the present work, we report a novel formulation of a nanoantibiotic formed using Ampicillin/sulbactam (Ams) and a zinc oxide nanoparticle (ZnO NP). ‘ZnO NP–Ams’ nanoantibiotic formulation is optimized using response surface methodology coupled genetic algorithm approach. The optimized formulation of nanoantibiotic (ZnO NP: 49.9 μg/mL; Ams: 33.6 μg/mL; incubation time: 27 h) demonstrated 15% enhanced activity compared to the unoptimized formulation against K. pneumoniae. The reactive oxygen species (ROS) generation was directly proportional to the interaction time of nanoantibiotic and K. pneumoniae after the initial lag phase of ~18 h as evident from 2'-7'-Dichlorodihydrofluorescein diacetate assay. A low minimum inhibitory concentration (6.25 μg/mL) of nanoantibiotic formulation reveals that even a low concentration of nanoantibiotic can prove to be effective against K. pneumoniae. The importance of nanoantibiotic formulation is also evident by the fact that the 100 μg/mL of Ams and 25 μg of ZnO NP was required individually to inhibit the growth of K. pneumonia, whereas only 6.25 μg/mL of optimized nanoantibiotic formulation (ZnO NP and Ams in the ratio of 49.9: 33.6 in μg/mL and conjugation time of 27 h) was needed for the same.

Item Type:Article
Uncontrolled Keywords:Genetic algorithm, ZnO nanoparticle
Subjects:T Technology > TP Chemical technology
Divisions:Chemical and Energy Engineering
ID Code:88620
Deposited By: Widya Wahid
Deposited On:15 Dec 2020 18:35
Last Modified:15 Dec 2020 18:35

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