J Pharm Sci
August 2024
Purpose: In the present study, biodegradable poly (3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) nanoparticles (NPs) containing insulin were loaded in sodium alginate/jeffamine (ALG/jeff) hydrogel for prolonged delivery of insulin. The main aim of this work was to fabricate an efficient insulin delivery system to improve patient adherence by decreasing the repetition of injections.
Methods: Swelling and morphological properties and crosslinking efficiency of ALG/jeff hydrogel were assessed.
There is an increasing level of various pollutants and their persistence in aquatic environments. The improper use of antibiotics and their inefficient metabolism in organisms result in their release into aquatic environments. Antibiotic abuse has led to hazardous effects on human health.
View Article and Find Full Text PDFElectrospinning process of nanofibers specially derivatives of cellulose presents high behest for developing several kinds of novel drug delivery systems (DDSs) due to their specific characteristics, the simplicity, beneficial and impressive top-down fabricating procedure. Moreover, the novel techniques of therapeutic agents for entrapment into core-shell nanofibers including single, coaxial and triaxial applied for DDSs. Recently, biodegradable polymers including derivatives of cellulose, hybrid materials, artificial and natural polymers have been remarkably considered.
View Article and Find Full Text PDFBackground: Chitosan nanoparticle, a potential vehicle, is used as a hydrophilic carrier system since it can deliver drugs to specific sites and also control the drug release rate. Moreover, controlled release systems are designed to minimize systemic absorption and to achieve optimum delivery of the biologically active mesalamine to the distal small intestine and the colon.
Objective: The current study investigated the development of new nanoparticulate drug delivery systems based on polyurethane-chitosan copolymers.
Formulation of a nanoparticulate Fingolimod delivery system based on biodegradable poly(3-hydroxybutyrate-co-3-hydroxyvalerate) was optimized according to artificial neural networks (ANNs). Concentration of poly(3-hydroxybutyrate-co-3-hydroxyvalerate), PVA and amount of Fingolimod is considered as the input value, and the particle size, polydispersity index, loading capacity, and entrapment efficacy as output data in experimental design study. In vitro release study was carried out for best formulation according to statistical analysis.
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