Formulation and In-Vitro Evaluation of Venlafaxine Loaded Polymers Based Nanoparticles

Background: Venlafaxine, a selective serotonin reuptake inhibitor (SSRI) for treating depression and anxiety, has low bioavailability due to poor solubility in water and potentially decreased effectiveness. Nanoparticles-based drug delivery is a potential alternative way to increase drug stability, solubility, and targeted release. Aim & Objective: To develop and evaluate Venlafaxine loaded polymeric nanoparticles for bioavailability enhancement and sustained drug release. Methodology: Nanoparticles were prepared by nanoprecipitation and optimized by a 3² factorial design. Characterization comprising particle size (DLS), entrapment efficiency, and drug loading (SEM and TEM) was performed. Results: The final optimized F7 form had a yield of 84.33% and drug entrapment efficiency of 89.23%. It showed a mean size of 383.33 nm and a PDI of 0.44 indicating a homogenized delivery system. In vitro experiments showed a prolonged drug release profile with potential for sustained therapeutic action. Conclusion: Improved solubility, stability, and sustained release properties of Venlafaxine make F7 formulation a promising approach to improve its therapeutic potential. It is high yielding and readily entrapped, pointing to its potential clinical utility in psychiatry. Clinical efficacy needs to be confirmed by further in vivo studies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-04
DOI
https://doi.org/10.5281/zenodo.14968465
Primary Topic
Advanced Drug Delivery Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Formulation and In-Vitro Evaluation of Venlafaxine Loaded Polymers Based Nanoparticles

Zenodo (CERN European Organization for Nuclear Research)
Advanced Drug Delivery Systems
article

Formulation and In-Vitro Evaluation of Venlafaxine Loaded Polymers Based Nanoparticles

article en

Abstract

Background: Venlafaxine, a selective serotonin reuptake inhibitor (SSRI) for treating depression and anxiety, has low bioavailability due to poor solubility in water and potentially decreased effectiveness. Nanoparticles-based drug delivery is a potential alternative way to increase drug stability, solubility, and targeted release. Aim & Objective: To develop and evaluate Venlafaxine loaded polymeric nanoparticles for bioavailability enhancement and sustained drug release. Methodology: Nanoparticles were prepared by nanoprecipitation and optimized by a 3² factorial design. Characterization comprising particle size (DLS), entrapment efficiency, and drug loading (SEM and TEM) was performed. Results: The final optimized F7 form had a yield of 84.33% and drug entrapment efficiency of 89.23%. It showed a mean size of 383.33 nm and a PDI of 0.44 indicating a homogenized delivery system. In vitro experiments showed a prolonged drug release profile with potential for sustained therapeutic action. Conclusion: Improved solubility, stability, and sustained release properties of Venlafaxine make F7 formulation a promising approach to improve its therapeutic potential. It is high yielding and readily entrapped, pointing to its potential clinical utility in psychiatry. Clinical efficacy needs to be confirmed by further in vivo studies.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 65%
Advanced Drug Delivery Systems
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.

Formulation and In-Vitro Evaluation of Venlafaxine Loaded Polymers Based Nanoparticles · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS