Abstract Background and Purpose This study aimed to improve the stability and prolonged gefitinib release from the nanoliposomes. Experimental approach Nanoliposomes were prepared by reverse-phase evaporation and optimized using Box-Behnken design to investigate the influence of sonication time (X1), tween 80 / soya phosphatidylcholine ratio (X2), and cholesterol/soya phosphatidylcholine ratio (X3) on nanoliposomes. Key results Optimized nanoliposomes were quasi-spherical shaped, with a mean dimension of 93.2 nm and an encapsulation efficiency of 87.56±0.17 %. Surface decoration of the optimized batch was done using different concentrations of chitosan. The optimal chitosan concentration required to adorn the nanoliposome surface was 0.01 %. In comparison to unadorned nanoliposomes (82.16±0.65 %), adorned nanoliposomes (78.04±0.35 %) released the drug consistently over 24 h via Fickian diffusion. The IC50 values for surface-adorned nanoliposomes in A549 and H1299 cells were 6.53±0.75 and 4.73±0.46 μM, respectively. Cytotoxicity of the surface-decorated nanoliposomes may be due to their higher zeta potential and prolonged drug release. At the end of the sixth month, the samples stored at 4 °C were more stable than those stored at 25 °C and 45 °C. The stability of plain nanoliposomes has increased after chitosan coating. Thus, by using different concentrations of chitosan solution as coating material, we can develop a suitable sustained drug-release surface-adorned nanoliposomal formulation. Conclusion The developed nanoliposomes may offer a new path for melanoma clinics.
Optimizing gefitinib nanoliposomes by Box-Behnken design and coating with chitosan: A sequential approach for enhanced drug delivery
S. Rohilla,R. Awasthi,A. Rohilla,S. Singh,D. Chellappan,K. Dua,H. Dureja
Published 2024 in ADMET and DMPK
ABSTRACT
PUBLICATION RECORD
- Publication year
2024
- Venue
ADMET and DMPK
- Publication date
2024-07-31
- Fields of study
Medicine, Materials Science, Chemistry
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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