Development and DoE-ANN based optimization of novel swellable matrix-diffusible doxorubicin loaded zinc oxide nanoflowers using sonochemical-precipitation method

Copyright © 2023 Elsevier B.V. All rights reserved..

This research aimed to acquire doxorubicin loaded zinc oxide nanoflowers (DOX-ZnO-NFs) for intracellular drug cargo possessing a synergistic in-vitro anticancer activity with minimal toxicity. Zinc is the main inorganic metallic component of various enzyme systems and has the possibility of fabrication into the diverse nano-structural forms. An easy absorption and extensive tissue distribution of zinc have made it unique candidate for drug delivery system. Hence, the zinc oxide nanoflowers were prepared with sonochemical-precipitation. The developed system was characterized using the reported methods and was optimized employing design of experiment, coupled with artificial neural network approach. The optimized nanoflowers (DOX-ZnO-NFV) were anionic with particle size of 24 ± 0.05 nm, polydispersity index of <0.5, a zeta potential of -25.68 ± 0.16 mV, yield of 87.40% and encapsulation efficiency of 85.25%. DOX-ZNO-NFV depicted sustained DOX release, around 65.413% release in 30 h at pH 7.4 and assumed Weibull model with its derived parameters, a and b of 22.77 and 0.918, respectively. DOX-ZnO-NFV remained stable on storage for 3 months at 4° C/50% RH and 25° C/60% RH. DOX-ZnO-NFV displayed a zone of inhibition of 13.50 ± 1.25 mm and 25.50 ± 0.98 mm, respectively against gram-positive Staphylococcus aureus and gram-negative Escherichia coli strains, presenting the nanoflowers as self-preservative. DOX-ZnO-NFV exhibited higher in-vitro anticancer activity in Henrietta Lacks cell line, with least hemolysis compared to the free DOX and ZnO-NF. Thus, doxorubicin loaded zinc oxide nanoflowers envisioned to act as better chemotherapeutic cargos with the maximize anticancer activity and minimal toxicity.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:633

Enthalten in:

International journal of pharmaceutics - 633(2023) vom: 25. Feb., Seite 122584

Sprache:

Englisch

Beteiligte Personen:

Ijaz, Sana [VerfasserIn]
Sultana, Misbah [VerfasserIn]
Shamim, Rahat [VerfasserIn]
Bukhari, Nadeem Irfan [VerfasserIn]

Links:

Volltext

Themen:

80168379AG
Artificial neural network
Design of Experiment
Doxorubicin
Doxorubicin zinc oxide nanoflowers
Drug Carriers
J41CSQ7QDS
Journal Article
Optimization
SOI2LOH54Z
Sonochemical-precipitation
Zinc
Zinc Oxide

Anmerkungen:

Date Completed 10.02.2023

Date Revised 10.02.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.ijpharm.2023.122584

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM351327886