Advanced search
Start date
Betweenand


Lamivudine and Zidovudine-Loaded Nanostructures: Green Chemistry Preparation for Pediatric Oral Administration

Full text
Author(s):
Guedes, Marina D. V. ; Marques, Morgana S. ; Berlitz, Simone J. ; Facure, Murilo H. M. ; Correa, Daniel S. ; Steffens, Clarice ; Contri, Renata V. ; Kulkamp-Guerreiro, Irene C.
Total Authors: 8
Document type: Journal article
Source: NANOMATERIALS; v. 13, n. 4, p. 18-pg., 2023-02-01.
Abstract

Here, we report on the development of lipid-based nanostructures containing zidovudine (1 mg/mL) and lamivudine (0.5 mg/mL) for oral administration in the pediatric population, eliminating the use of organic solvents, which is in accordance with green chemistry principles. The formulations were obtained by ultrasonication using monoolein (MN) or phytantriol (PN), which presented narrow size distributions with similar mean particle sizes (similar to 150 nm) determined by laser diffraction. The zeta potential and the pH values of the formulations were around -4.0 mV and 6.0, respectively. MN presented a slightly higher incorporation rate compared to PN. Nanoemulsions were obtained when using monoolein, while cubosomes were obtained when using phytantriol, as confirmed by Small-Angle X-ray Scattering. The formulations enabled drug release control and protection against acid degradation. The drug incorporation was effective and the analyses using an electronic tongue indicated a difference in palatability between the nanotechnological samples in comparison with the drug solutions. In conclusion, PN was considered to have the strongest potential as a novel oral formulation for pediatric HIV treatment. (AU)

FAPESP's process: 17/10582-8 - Production and characterization of graphene quantum dots and their application in chemical sensors
Grantee:Murilo Henrique Moreira Facure
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 18/22214-6 - Towards a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis
Grantee:Osvaldo Novais de Oliveira Junior
Support Opportunities: Research Projects - Thematic Grants