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Curcumin has great potential in cancer treatment and prevention. However, free curcumin for anticancer effect is limited due to its low water solubility and instability. Delivery of free curcumin using biodegradable and biocompatible polymers, such as poly (lactic- co -glycolic acid) (PLGA), can improve these undesirable problems. In this study, a top-down fabrication method using PLGA was employed to deliver free curcumin, engineering size, shape, and surface properties. As a result, porous discoidal polymeric particles (DPPs) were produced in ammonium bicarbonate with a hydrodynamic diameter of 5 µm and a negatively charged surface. The loading amount of free curcumin in the porous DPPs was higher than non-porous DPPs. In vitro drug release study showed that curcumin release from porous DPPs was 1.4-fold higher than non-porous ones. The confocal microscopy and flow cytometry results demonstrated that porous DPPs decrease phagocytosis by macrophages than non-porous ones. This study suggests that porous DPPs have significant advantages for effective drug delivery of curcumin, minimizing phagocytosis.

Recent breakthroughs in nanoparticle research have led to improved drug delivery and have overcome problems associated with normal drug delivery methods. Optimizing the design of nanoparticles in terms of controlled size, shape, and surface chemistry of nanoparticles can maximize the therapeutic efficacy. To maximize therapeutic effects, advanced formulation and fabrication methods have been developed. Biomedical applications of nanoparticles produced using the new fabrication techniques, including drug delivery and molecular imaging, have been widely explored. This review highlights the simple and versatile manufacturing techniques that can be used in the development of new types of nanoparticles that have strictly controlled physiochemical properties and their multifaceted advantages in drug delivery and molecular imaging., Competing Interests: The authors report no conflicts of interest in this work., (© 2019 Aryal et al.)

Context: The rapid growth and diversification of drug delivery systems have been significantly supported by advancements in micro- and nano-technologies, alongside the adoption of biodegradable polymeric materials like poly(lactic-co-glycolic acid) (PLGA) as microcarriers. These developments aim to reduce toxicity and enhance target specificity in drug delivery. The use of in silico methods, particularly molecular dynamics (MD) simulations, has emerged as a pivotal tool for predicting the dynamics of species within these systems. This approach aids in investigating drug delivery mechanisms, thereby reducing the costs associated with design and prototyping. In this study, we focus on elucidating the diffusion mechanisms in curcumin-loaded PLGA particles, which are critical for optimizing drug release and efficacy in therapeutic applications. Methods: We utilized MD to explore the diffusion behavior of curcumin in PLGA drug delivery systems. The simulations, executed with GROMACS, modeled curcumin molecules in a representative volume element of PLGA chains and water, referencing molecular structures from the Protein Data Bank and employing the CHARMM force field. We generated PLGA chains of varying lengths using the Polymer Modeler tool and arranged them in a bulk-like environment with Packmol. The simulation protocol included steps for energy minimization, T and p equilibration, and calculation of the isotropic diffusion coefficient from the mean square displacement. The Taguchi method was applied to assess the effects of hydration level, PLGA chain length, and density on diffusion. Results: Our results provide insight into the influence of PLGA chain length, hydration level, and polymer density on the diffusion coefficient of curcumin, offering a mechanistic understanding for the design of efficient drug delivery systems. The sensitivity analysis obtained through the Taguchi method identified hydration level and PLGA density as the most significant input parameters affecting curcumin diffusion, while the effect of PLGA chain length was negligible within the simulated range. We provided a regression equation capable to accurately fit MD results. The regression equation suggests that increases in hydration level and PLGA density result in a decrease in the diffusion coefficient. [ABSTRACT FROM AUTHOR]