Evidence map›Paper›PMID 40012287›Full record

ArticleCurrent pharmaceutical design2025

Formulation, Optimization, and

Prathap Madeswara Guptha, Narahari Narayan Palei, Murugesan Vanangamudi, Surendran Vijayaraj, Bibhash Chandra Mohanta

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Article in Current pharmaceutical design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Prathap Madeswara GupthaAmity Institute of Pharmacy, Amity University, Gwalior, Madhya Pradesh, India.ORCID 0000-0002-0262-6539
Narahari Narayan PaleiDepartment of Pharmaceutics, Amity Institute of Pharmacy, Amity University Uttar Pradesh, Lucknow, India.ORCID 0000-0002-2041-1849
Murugesan VanangamudiInstitute of Pharmaceutical Research, GLA University, Mathura, India.ORCID 0000-0001-9792-5605
Surendran VijayarajDepartment of Pharmaceutical Analysis, Dr. Kalam College of Pharmacy, Avanam, Thanjavur, India.ORCID 0000-0003-3816-4636
Bibhash Chandra MohantaDepartment of Pharmacy, School of Health Science, Central University of South Bihar, Gaya, India.ORCID 0000-0001-7117-4727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRitonavir (RTV) is an antiviral drug that prevents human immunodeficiency virus (HIV). However, it has low bioavailability, which can be improved with the assistance of Solid Lipid Nanoparticles (SLNs).

objectiveThe present work aimed to formulate and optimize RTV-loaded SLNs using Box-Behnken design and evaluate the permeability coefficient using ex vivo permeation studies.

methodsRTV-SLNs were prepared using the ultrasonication technique. The SLN formulation was optimized based on particle size, % entrapment efficiency, and % cumulative drug release using response surface methodology resulting from Box-Behnken design. The Fourier-Transform Infrared spectroscopy (FT-IR), Differential Scanning Calorimetry (DSC), and transmission Electron Microscopy (TEM) studies were carried out for the characterization of optimized SLN formulation. Ex vivo permeation studies were also performed using chicken ileum.

resultsThe optimized RTV-SLNs had a particle size of 270.34 nm, polydispersity index of 0.157, and zeta potential of -25.2 mV. The % entrapment efficiency and % cumulative drug release were found to be 94.33% and 67.13%, respectively. The FT-IR study revealed that SLNs showed no significant interactions between the drug and lipid in the formulation. The % crystalline index of the RTV-loaded SLN formulation was found to be 44.31% compared to the reference value of 100% for lipids. TEM analysis showed spherical nanoparticles that were uniform in shape. The release kinetics data demonstrated the drug release behavior, followed by the Korsmeyer-Peppas model, and suggested that the release from SLNs followed the non-fiction diffusion. The permeability coefficient of optimized SLN formulation was found to be significantly (p < 0.05) more compared to free RTV suspension. The enhancement ratio results suggested that RTV-SLNs permeated significantly (p < 0.05) faster (approximately 3.5 times) as compared to free RTV suspension.

conclusionThe optimized RTV-SLNs could be a promising carrier for improving the oral bioavailability of RTV.

Indexed as

Drug CarriersHIV Protease InhibitorsLipidsNanoparticlesRitonavirAnimalsChickensDrug LiberationLiposomesParticle SizePermeabilityDrug CarriersHIV Protease InhibitorsLipid NanoparticlesLipidsLiposomesRitonavirBox-Behnken designcrystalline index.ex vivo studiespermeabilityRitonavirsolid lipid nanoparticles

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.