ArticleAAPS PharmSciTech2014
Statistical design for formulation optimization of hydrocortisone butyrate-loaded PLGA nanoparticles.
Article in AAPS PharmSciTech, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- A Review on Ocular Nanoformulation Based Formulations with Highlights on Pediatric Ocular Pharmacokinetics.Pharmaceutical nanotechnology · 2025Review
- Treating Burn Infections With Topical Delivery of Positively Charged Norfloxacin-Loaded Lipid-Polymer Hybrid Nanoparticles.Recent advances in drug delivery and formulation · 2025Article
- Utilization of nanotechnology and experimental design in the development and optimization of a posaconazole‒calendula oil nanoemulgel for the treatment of mouth disorders.Frontiers in pharmacology · 2024Article
- Human Serum Albumin Nanoparticles: Synthesis, Optimization and Immobilization with Antituberculosis Drugs.Polymers · 2023Article
- Wheat husk-based sorbent as an economical solution for removal of oil spills from sea water.Scientific reports · 2023Article
- The Contest of Nanoparticles: Searching for the Most Effective Topical Delivery of Corticosteroids.Pharmaceutics · 2023Article
- Article
- Repurposing Lovastatin Cytotoxicity against the Tongue Carcinoma HSC3 Cell Line Using a Eucalyptus Oil-Based Nanoemulgel Carrier.Gels (Basel, Switzerland) · 2022Article
- Microwave-assisted Preparation of Cross-linked Gelatin-Paracetamol Matrices: Optimization Using the D-optimal DesignTurkish journal of pharmaceutical sciences · 2021Article
- Application of statistical design to evaluate critical process parameters and optimize formulation technique of polymeric nanoparticles.Royal Society open science · 2019Article
- Nanoparticle-Based Topical Ophthalmic Gel Formulation for Sustained Release of Hydrocortisone Butyrate.AAPS PharmSciTech · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The aim of this investigation was to develop hydrocortisone butyrate (HB)-loaded poly(D,L-lactic-co-glycolic acid) (PLGA) nanoparticles (NP) with ideal encapsulation efficiency (EE), particle size, and drug loading (DL) under emulsion solvent evaporation technique utilizing various experimental statistical design modules. Experimental designs were used to investigate specific effects of independent variables during preparation of HB-loaded PLGA NP and corresponding responses in optimizing the formulation. Plackett-Burman design for independent variables was first conducted to prescreen various formulation and process variables during the development of NP. Selected primary variables were further optimized by central composite design. This process leads to an optimum formulation with desired EE, particle size, and DL. Contour plots and response surface curves display visual diagrammatic relationships between the experimental responses and input variables. The concentration of PLGA, drug, and polyvinyl alcohol and sonication time were the critical factors influencing the responses analyzed. Optimized formulation showed EE of 90.6%, particle size of 164.3 nm, and DL of 64.35%. This study demonstrates that statistical experimental design methodology can optimize the formulation and process variables to achieve favorable responses for HB-loaded NP.
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Registered trials
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.