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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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FORMULATION AND EVALUATION OF MELPHALAN LOADED NIOSOME FOR CANCER TREATMENT

Authors: Dr. M. Gopal Rao*; Dr. K. Muthusamy; Dr. T. K. Ravi; Mr. Y. Arul Packiadhas; Mr. K. Jayaseelan;

FORMULATION AND EVALUATION OF MELPHALAN LOADED NIOSOME FOR CANCER TREATMENT

Abstract

Cancer treatment with conventional chemotherapy drugs often faceschallenges such as poor solubility, rapid metabolism, systemic toxicity, andnon-specific distribution. Melphalan, an alkylating agent widely used inmultiple myeloma and other cancers, is clinically effective but suffers fromreduced stability and limited bioavailability. To address these drawbacks, thepresent work focused on developing melphalan-loaded niosomes as a novelnanocarrier system. The formulations were prepared using the thin filmhydration technique with cholesterol and non-ionic surfactants. They werefurther analyzed for particle size, surface charge, drug entrapmentefficiency, pH stability, compatibility studies, and in vitro release behavior.The optimized niosomal formulation exhibited nanoscale vesicles withuniform distribution, high entrapment efficiency, and stable zeta potential.FTIR analysis confirmed no significant drug–excipient interactions. Therelease profile demonstrated sustained drug release over an extended period,with kinetics indicating a diffusion-controlled mechanism. The findingssuggest that melphalan-loaded niosomes can enhance drug stability, providecontrolled delivery, reduce systemic side effects, and thereby improvetherapeutic efficacy in cancer management.

Keywords

Melphalan, Niosomes, Cancer therapy, Sustained release, Nanocarrier, Drug delivery.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities
Cancer Research