Chemical Engineering Commons^™

Synthesis And Characterization Of Nanocomposite Microparticles (Ncmp) For The Treatment Of Cystic Fibrosis-Related Infections, Zimeng Wang, Samantha A. Meenach

Chemical Engineering Faculty Publications

Purpose:

Pulmonary antibiotic delivery is recommended as maintenance therapy for cystic fibrosis (CF) patients who experience chronic infections. However, abnormally thick and sticky mucus present in the respiratory tract of CF patients impairs mucus penetration and limits the efficacy of inhaled antibiotics. To overcome the obstacles of pulmonary antibiotic delivery, we have developed nanocomposite microparticles (nCmP) for the inhalation application of antibiotics in the form of dry powder aerosols.

Methods:

Azithromycin-loaded and rapamycin-loaded polymeric nanoparticles (NP) were prepared via nanoprecipitation and nCmP were prepared by spray drying and the physicochemical characteristics were evaluated.

Results:

The nanoparticles were …

Development Of Three-Dimensional Lung Multicellular Spheroids In Air- And Liquid-Interface Culture For The Evaluation Of Anticancer Therapeutics, Samantha A. Meenach, Alexandran N. Tsoras, Ronald C. Mcgarry, Heidi M. Mansour, J. Zach Hilt, Kimberly W. Anderson

Chemical Engineering Faculty Publications

Three-dimensional (3D) lung multicellular spheroids (MCS) in liquid-covered culture (LCC) and air-interface culture (AIC) conditions have both been developed for the evaluation of aerosol anticancer therapeutics in solution and aerosols, respectively. The MCS were formed by seeding lung cancer cells on top of collagen where they formed spheroids due to the prevalence of cell-to-cell interactions. LCC MCS were exposed to paclitaxel (PTX) in media whereas AIC MCS were exposed to dry powder PEGylated phospholipid aerosol microparticles containing paclitaxel. The difference in viability for 2D versus 3D culture for both LCC and AIC was evaluated along with the effects of the …

On The Linear Approximation Of Mixture Internal Energies Of Departure, Robert B. Kelly, Angelo Lucia

Chemical Engineering Faculty Publications

Direct Monte Carlo simulation of internal energies of departure for binary mixtures of geological interest are gathered and compared to those calculated using a linear mixing rule. Simulation results for gas–oil, oil–oil, and oil–water mixtures show that the linear mixing rule used in the Gibbs–Helmholtz Constrained (GHC) equation of state framework gives accurate approximations of binary mixture internal energies of departure. A flowchart for computing internal energies of departure using Monte Carlo simulation is included along with a sensitivity analysis for the GHC mixture energy parameter with respect to uncertainty in internal energies of departure.