DESIGN AND OPTIMIZATION OF POLYMERIC NANOPARTICLE FOR TARGETED DELIVERY OF PACLITAXEL IN BREAST CANCER TREATMENT

ABSTRACT The present work was aimed to design polymeric nanoparticles for targeting the release of Paclitaxel (PTL)in breast cancer. Due to least solubility, permeability and stability issues of PTL it is quite challenging to formulate as novel liquid dosage formulation. Solvent evaporation was the method used to create PTL Polymeric nanoparticles. Different ratios of surfactant and drug polymer are used to make the formulations. PTL Characterized in-vitro drug release, surface shape, drug excipient compatibility, particle size, and release kinetics for the produced nanoparticles. The formulation with the best encapsulation efficiency was (F-6) a drug encapsulation effectiveness of up to 90.20% has been attained in this study. It was shown that when the polymeric content increased, it also improved the encapsulation efficiency. The drug release characteristics for each preparation tested in vitro suggested a rapid action at first, subsequently followed by a steady release. The results of this experiment show that an alcohol evaporating technique combined with optimal dimension of particles ultrasound, produced a dosage form that was effective in producing PTL Polymeric nanoparticles.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-08
DOI
https://doi.org/10.5281/zenodo.17291926
Primary Topic
Nanoparticle-Based Drug Delivery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DESIGN AND OPTIMIZATION OF POLYMERIC NANOPARTICLE FOR TARGETED DELIVERY OF PACLITAXEL IN BREAST CANCER TREATMENT

Zenodo (CERN European Organization for Nuclear Research)
Nanoparticle-Based Drug Delivery
article

DESIGN AND OPTIMIZATION OF POLYMERIC NANOPARTICLE FOR TARGETED DELIVERY OF PACLITAXEL IN BREAST CANCER TREATMENT

article en

Abstract

ABSTRACT The present work was aimed to design polymeric nanoparticles for targeting the release of Paclitaxel (PTL)in breast cancer. Due to least solubility, permeability and stability issues of PTL it is quite challenging to formulate as novel liquid dosage formulation. Solvent evaporation was the method used to create PTL Polymeric nanoparticles. Different ratios of surfactant and drug polymer are used to make the formulations. PTL Characterized in-vitro drug release, surface shape, drug excipient compatibility, particle size, and release kinetics for the produced nanoparticles. The formulation with the best encapsulation efficiency was (F-6) a drug encapsulation effectiveness of up to 90.20% has been attained in this study. It was shown that when the polymeric content increased, it also improved the encapsulation efficiency. The drug release characteristics for each preparation tested in vitro suggested a rapid action at first, subsequently followed by a steady release. The results of this experiment show that an alcohol evaporating technique combined with optimal dimension of particles ultrasound, produced a dosage form that was effective in producing PTL Polymeric nanoparticles.

Zenodo (CERN European Organization for Nuclear Research)
Jawaharlal Nehru Technological University Anantapur (IN)
Good health and well-being
Openalex Percentile: Top 55%
Nanoparticle-Based Drug Delivery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

DESIGN AND OPTIMIZATION OF POLYMERIC NANOPARTICLE FOR TARGETED DELIVERY OF PACLITAXEL IN BREAST CANCER TREATMENT · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS