Passivated Nanoparticles Research Articles

Effects of cartilage-targeting moieties on nanoparticle biodistribution in healthy and osteoarthritic joints

Understanding intra-articular biodistribution is imperative as candidate osteoarthritis (OA) drugs become increasingly site-specific. Cartilage has been identified as opportunistic for therapeutic intervention, but poses numerous barriers to drug delivery. To facilitate drug delivery to cartilage, nanoscale vehicles have been designed with different features that target the tissue's matrix. However, it is unclear if these targeting strategies are influenced by OA and the associated structural changes that occur in cartilage. The goal of this work was to study the effectiveness of different cartilage-targeting nanomaterials with respect to cartilage localization and retention, and to determine how these outcomes change in OA. To address these questions, a nanoparticle (NP) system was developed, and the formulation was tuned to possess three distinct cartilage-targeting strategies: (1) passive targeting cationic NPs for electrostatic attraction to cartilage, (2) active targeting NPs with binding peptides for collagen type II, and (3) untargeted neutrally-charged NPs. Ex vivo analyses with bovine cartilage explants demonstrated that targeting strategies significantly improved NP associations with both healthy and OA-like cartilage. In vivo studies with collagenase-induced OA in rats revealed that disease state influenced joint biodistribution for all three NP formulations. Importantly, the extent of cartilage accumulation for each NP system was affected by disease differently; with active NPs, but not passive NPs, cartilage accumulation was increased in OA relative to healthy knees. Together, this work suggests that NPs can be strategically designed for site-specific OA drug delivery, but the biodistribution of the NPs are influenced by the disease conditions into which they are delivered. Statement of SignificanceAs emerging drugs for osteoarthritis are becoming increasingly site-specific, the need for targeted intra-articular drug delivery has evolved. To improve drug delivery to cartilage, targeting strategies for nanomaterials have been developed, but the manner in which these targeted systems accumulate at different sites within the joint remains poorly understood. Moreover, it is unclear how nanomaterial-tissue interactions change in osteoarthritic conditions, as tissue structure and composition change after disease onset. By understanding how nanomaterials distribute within healthy and disease joints, we can advance targeted drug delivery strategies and improve therapeutic outcomes for emerging drugs.

Molecular simulation of gold nanoparticle dispersion and aggregation in supercritical CO2

We report molecular dynamics simulations for multiple passivated gold nanoparticles (NPs) in supercritical CO2 (scCO2). This simulation provides a direct visual observation on dispersion behavior and aggregate morphology for the NPs suspended/blended in the scCO2 fluid. Extensive interfacial structure properties, thermodynamic free energies, and dynamics’ properties were used to characterize the effective particle interactions. The effects of surface ligand length, solvent density, and surface coverage were examined. Our simulation results indicate that the NP dispersion is controlled by both the steric repellence between the capping ligands and the solvation interaction between surface ligands and solvent. Increasing surface coverage or ligand length leads to better dispersion owing to enhancing excluded-volume effect. Meanwhile, increasing solvent density can increase repulsive interaction between the passivated NPs, thereby producing a stable dispersion. In general, the simulation presents a guide in understanding and manipulating NP interactions in supercritical fluids.

Molecular simulation of interaction between passivated gold nanoparticles in supercritical CO2

Molecular dynamics simulations have been performed to study the potential of mean force (PMF) between passivated gold nanoparticles (NPs) in supercritical CO(2) (scCO(2)). The nanoparticle model consists of a 140 atom gold nanocore and a surface self-assembled monolayer, in which two kinds of fluorinated alkanethiols were considered. The molecular origin of the thermodynamics interaction and the solvation effect has been comprehensively studied. The simulation results demonstrate that increasing the solvent density and ligand length can enhance the repulsive feature of the free energy between the passivated Au nanoparticles in scCO(2), which is in good agreement with previous experimental results. The interaction forces between the two passivated NPs have been decomposed to reveal various contributions to the free energy. It was revealed that the interaction between capping ligands and the interaction between the capping ligands and scCO(2) solvent molecules cooperatively determine the total PMF. A thermodynamic entropy-energy analysis for each PMF contribution was used to explain the density dependence of PMF in scCO(2) fluid. Our simulation study is expected to provide a novel microscopic understanding of the effect of scCO(2) solvent on the interaction between passivated Au nanoparticles, which is helpful to the dispersion and preparation of functional metal nanoparticles in supercritical fluids.