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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

  • Nidhi Sharma
  • , Vineeta Singh
  • , Asheesh Kumar Pandey
  • , Bhartendu Nath Mishra
  • , Maria Kulsoom
  • , Nandita Dasgupta
  • , Saif Khan
  • , Hesham A. El-Enshasy
  • , Shafiul Haque
  • Institute of Engineering and Technology, Lucknow
  • University of Hail
  • Universiti Teknologi Malaysia
  • City for Scientific Research and Technology Applications
  • Jazan University

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

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.

Original languageEnglish
Article number764
JournalBiomolecules
Volume9
Issue number12
DOIs
StatePublished - Dec 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Ampicillin/sulbactam
  • Genetic algorithm
  • Klebsiella pneumoniae
  • Response surface methodology
  • ZnO nanoparticle

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