Computational Simulation for Transport of Priority Organic Pollutants through Nanoporous Membranes

Modeling and simulation of membrane‐based solvent extraction is conducted by computational fluid dynamics (CFD). The process is used for removal of priority organic pollutants from aqueous waste streams in nanoporous membranes. The pollutants include phenol, nitrobenzene, and acrylonitrile extracted by organic solvents. The mathematical model commonly applied to predict the performance of membrane‐based solvent extraction is the conventional resistance‐in‐series model. Here, a comprehensive mathematical model is developed to predict the transport of pollutants through nanoporous media. In order to predict the performance of the separation process, conservation equations for pollutants in the membrane module are derived and solved numerically. The model is then validated through comparing with experimental data reported in the literature. The simulation results were in good agreement with the experimental data for different values of feed flow rates.     

Influenza virus vaccination of patients with multiple sclerosis

Our previous data showed that at least five PKC isoforms (alpha, delta, zeta, lambda and tau) were present in the decidualization. In this study, we then localized the PKC alpha and zeta by immunohistochemistry in the decidualized uterine tissues. The decidualized uterine tissues were induced by trauma-stimulation and fixed in formalin. The immunofluorescence were photographed by confocal microscope. The data revealed that the fluorescence of PKC alpha was present in the deciduomata and myometrium. In the deciduomata, PKC alpha was mainly located in the surrounding nuclear. This phenomenon of localization was especially performed on day 2 and 3 of the decidualization, just on the time of higher frequence of cell mitosis. Since the myometrium with hypertrophy did not display the phenomenon of perinuclear localization, these suggested that the expression and localization of PKC alpha may be associated with the cell proliferation. On the other hand, the PKC zeta was also present and distributed broadly in the deciduomata and myometrium. This expression was increased and similar to the previous Western blot studies. Thus, the data confirmed that the various expression and localization of PKC isoforms may be correlated with the development of deciduomata.     

Application of artificial neural network for prediction of particle size in pharmaceutical cocrystallization using mechanochemical synthesis

Neural Computing and Applications - Milling by mechanical means is vital unit operation in pharmaceutical processing which can be used for controlling particle size reduction. This approach can be...     

H2-selective mixed matrix membranes modeling using ANFIS,PSO-ANFIS,GA-ANFIS

The novel contribution of the current study is to employ adaptive neuro-fuzzy inference system (ANFIS) for evaluation of H₂-selective mixed matrix membranes (MMMs) performance in various operational conditions. Initially, MMMs were prepared by incorporating zeolite 4A nanoparticles into polydimethylsiloxane (PDMS) and applied in gas permeation measurement. The gas permeability of CH₄, CO₂, C₃H₈ and H₂ was used for ANFIS modeling. In this manner, the H₂/gas selectivity as the output of the model was modeled to the variations of feed pressure, nanofiller contents and the kind of gas, which were defined as input (design) variables. The proposed method is based on the improvement of ANFIS with genetic algorithm (GA) and particle swarm optimization (PSO). The PSO and GA were applied to improve the ANFIS performance. To determine the efficiency of PSO-ANFIS, GA-ANFIS and ANFIS models, a statistical analysis was performed. The results revealed that the PSO-ANFIS model yields better prediction in comparison to two other methods so that root mean square error (RMSE) and coefficient of determination (R²) were obtained as 0.0135 and 0.9938, respectively. The RMSE and R² values for GA-ANFIS were 0.0320 and 0.9653, respectively, and for ANFIS model were 0.0256 and 0.9787, respectively.     

Time-lapse video tape documentation of chemical orientation bySchistosoma mansoni in vitro

In vitro, the opposite sexes ofS. mansoni are attracted to each other by some means of premating communication which culminates in aggregation and copulation of sexual pairs within 24 hr. The system used for time-lapse video tape documentation of worm sexual behavior in vitro is described and evidence of sexual chemoattraction is presented.     

SO2 Removal from Gas Streams by Ammonia Scrubbing: Process Optimization by Response Surface Methodology

Reduction of the SO₂ content by ammonia scrubbing in the incinerator of the Isfahan Refinery complex was investigated. An experimental continuous setup was designed to study the underlying process parameters affecting SO₂ capture from air. The effects of various parameters was analyzed by a systematic experimental design based on response surface methodology with central composite design. The developed response surface model was found to be useful and robust to predict the degree of desulfurization of ammonia wet flow gas disulfurization reactors. The ammonia concentration had the most significant influence on the efficiency of the desulfurization process. The square of temperature affected the efficiency more than the temperature, whereas the gas flow rate had a minor influence on the separation efficiency.     

ANN Analysis of a Roller Compaction Process in the Pharmaceutical Industry

Dry granulation via a roller compactor was simulated based on the artificial neural network (ANN) methodology. Two process parameters, including roll force and screw speed, were considered as input of the simulation whereas ribbon density was considered as output. Experimental work was carried out using an industrial‐scale roller compactor. The results showed an excellent agreement between simulation and experiments. The findings were compared as well with the results obtained in a previous study employing the Johanson model, which is the predominant model for the simulation of a roller compaction process. The overall deviation observed for the developed ANN model was found to be significantly improved in comparison with the deviation obtained for the Johanson model. The results demonstrated a very good capability and robustness of the developed ANN model in design and optimization of the roller compaction process.     

Modeling of water transport through nanopores of membranes in direct‐contact membrane distillation process

In this research, computational fluid dynamic simulation of direct‐contact membrane distillation process is carried out. The process consists of a nanoporous flat‐sheet membrane as contactor, a saline liquid feed, and permeate phase. The flow pattern is considered to be counter‐current. The aim of the process is to produce pure water from saline water. Heat and mass transfer equations are derived and solved for water by finite element analysis. The simulations are then validated by comparing simulation predictions with the experimental data reported in literature. Good agreement was obtained which confirmed the validity of simulation procedure in simulation of water desalination using membrane distillation. Diffusion of water vapor through pores of membrane is simulated by combination of the Knudsen and Poiseuille flow. POLYM. ENG. SCI., 54:660–666, 2014. © 2013 Society of Plastics Engineers     

Presence of cross-reactive antibodies to HTLV-1 and absence of antigens in patients with multiple sclerosis

Antibodies to HTLV-1, as determined by ELISA, were highly elevated in the serum samples of four out of four (100%) patients with TSP, moderately elevated in four out of four (100%) HTLV-1 carriers, slightly elevated in 12 out of 34 (35%) patients with MS, and absent from the serum samples of 34 normal subjects. Western blot analysis showed that the antibodies to HTLV-1 antigens in MS serum were heterogeneous. Cultivation of peripheral blood lymphocytes (PBLs) from patients with MS or normal subjects did not generate HTLV-1 core p19 antigen in the supernatant of culture medium, whereas cultivation of PBLs from patients with TSP and carriers of HTLV-1 generated core p19 antigen after 3 days for up to 28 days of cultivation. HTLV-1 antigens were also expressed on the surface of PBLs in three out of four patients with TSP and in two out of four HTLV-1 carriers on days 14 and 28 of cultivation, as measured by indirect immunofluorescence or alkaline phosphatase staining, but were not found in PBLs of any of 34 patients with MS or 34 normal subjects. The data indicate that although cross-reacting antibodies appear in the serum of some patients with MS, not enough evidence exists to suggest that HTLV-1 antigen is being produced in MS or that HTLV-1 plays a role in the pathogenesis of this disease.     

Transient computational fluid dynamics modeling of pervaporation separation of aromatic/aliphatic hydrocarbon mixtures using polymer composite membrane

Pervaporation (PV) separation of toluene/n‐heptane mixtures was studied experimentally and theoretically by means of a molecular surface engineering (MSE) polymer composite membrane. A comprehensive mathematical model was developed to predict unsteady state transport of toluene and n‐heptane (nC₇) through the membrane. Conservation equations including continuity, and heat transfer equations were solved using finite element method (FEM). Computational fluid dynamics (CFD) technique was applied to solve the model equations. The model was then verified with PV experimental data. The simulation results were in good agreement with the experimental data. The simulation results revealed that the proposed model could provide a general simulation of transport in the PV process. POLYM. ENG. SCI., 2013. © 2012 Society of Plastics Engineers