ArticleAAPS PharmSciTech2009
Formulation of dacarbazine-loaded cubosomes-part I: influence of formulation variables.
Article in AAPS PharmSciTech, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Development of an AQbD-guided sustainable RP-HPLC method for simultaneous quantification of saracatinib and rapamycin in lipid-polymer hybrid nanocarriers.RSC advances · 2026Article
- DoE-based Development of Transdermal Risedronate-laden Cubosomes: In Vitro Characterization, Drug Deposition, and In Vivo Permeation in Rats.AAPS PharmSciTech · 2026Article
- Formulation and Physicochemical Characterization of Capecitabine-Loaded Cubosomes for Enhanced Drug Delivery System.Drug design, development and therapy · 2026Article
- Detailed Comprehensive Review on Advancement of Cubosomes and their Currently Available Applications.Current pharmaceutical biotechnology · 2026Review
- Dacarbazine-loaded Bilayer Dissolving Microneedle Array Patch for Localized Delivery in Cutaneous Melanoma.The AAPS journal · 2025Article
- Collaboration ofFuture science OA · 2024Article
- The efficacy ofDrug delivery · 2022Article
- Dacarbazine-Loaded Targeted Polymeric Nanoparticles for Enhancing Malignant Melanoma Therapy.Frontiers in bioengineering and biotechnology · 2022Article
- Dacarbazine nanoparticle topical delivery system for the treatment of melanoma.Scientific reports · 2017Article
- Spray-Dried Thiolated Chitosan-Coated Sodium Alginate Multilayer Microparticles for Vaginal HIV Microbicide Delivery.The AAPS journal · 2017Article
- Nanostructured Cubosomes in a Thermoresponsive Depot System: An Alternative Approach for the Controlled Delivery of Docetaxel.AAPS PharmSciTech · 2016Article
- Nanotechnology-Based Drug Delivery Systems for Melanoma Antitumoral Therapy: A Review.BioMed research international · 2015Review
- Engineering tenofovir loaded chitosan nanoparticles to maximize microbicide mucoadhesion.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2011Article
- Engineering nanomedicines for improved melanoma therapy: progress and promises.Nanomedicine (London, England) · 2010Review
- Formulation of dacarbazine-loaded cubosomes. Part III. Physicochemical characterization.AAPS PharmSciTech · 2010Article
- Analysis of process parameters affecting spray-dried oily core nanocapsules using factorial design.AAPS PharmSciTech · 2010Article
- Formulation of dacarbazine-loaded Cubosomes--part II: influence of process parameters.AAPS PharmSciTech · 2009Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to investigate the combined influence of three-level, three-factor variables on the formulation of dacarbazine (a water-soluble drug) loaded cubosomes. Box-Behnken design was used to obtain a second-order polynomial equation with interaction terms to predict response values. In this study, the selected and coded variables X(1), X(2), and X(3) representing the amount of monoolein, polymer, and drug as the independent variables, respectively. Fifteen runs of experiments were conducted, and the particle size (Y(1)) and encapsulation efficiency (Y(2)) were evaluated as dependent variables. We performed multiple regression to establish a full-model second-order polynomial equation relating independent and dependent variables. A second-order polynomial regression model was constructed for Y(1) and confirmed by performing checkpoint analysis. The optimization process and Pareto charts were obtained automatically, and they predicted the levels of independent coded variables X(1), X(2), and X(3) (-1, 0.53485, and -1, respectively) and minimized Y(1) while maximizing Y(2). These corresponded to a cubosome formulation made from 100 mg of monoolein, 107 mg of polymer, and 2 mg with average diameter of 104.7 nm and an encapsulation efficiency of 6.9%. The Box-Behnken design proved to be a useful tool to optimize the particle size of these drug-loaded cubosomes. For encapsulation efficiency (Y(2)), further studies are needed to identify appropriate regression model.
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