PLGA fine nanoparticle for drug delivery systems: experimental and simulation

Abstract

In this work, PLGA copolymers/polymers with high molecular weight (up to 100000) become synthesised using ring opening method to be suitable for drug delivery systems. Two drugs namely (Tamoxifen citrate, cisplatin) were encapsulated into nanoPLGA copolymer capsules. Drugs were differently loaded according to their solvability (i.e. hydrophilic or hydrophobic status). After characterisation copolymer 75:25 PLGA was the best sample because of DSC analysis showing. One of PLGA copolymer (75:25 PLGA) was candidate to play the role of capsule for drug loading process that has more stability and maximum half time in the in-vivo environment. This work presents all steps to get new cancerthrap nanoparticles, from copolymer synthesis to drug encapsulation. Copolymer/polymer with molecular weight above 100000 which is very expensive and rare as a result was synthesised. Average diameter of nanoparticles shows 40–60 nm to promote much drug loading into encapsulating process, with the help of double emulsion method. Characteristics tests like TGA, DSC, DLS, SEM and TEM are accomplished to verify average size distribution as key factor and other parameters. Some key parameters to reduce size such as surfactant type are investigated. Simulations equipped by high performance computers are done which are strong devices to reproduce experimental results with low relative error. Maximum relative error is below 13 ℅. Double micro emulsion technique was successful to drug encapsulation in nano scale as we do in this work. The novelty comes from very fine nano capsules production and high loading drug in comparison with other works. Molecular dynamics simulation was accomplished by FORTRAN handy coding (with parallel computations) to give us a superior understanding of micelle formation, critical micelle concentration and size distribution or other critical parameters. Both simulation results and experimental data agree whether qualitatively and quantitatively. Results agree with experimental data and also with others reported results.