This work investigates the production of activated lignin-chitosan extruded (ALiCE) pellets with controlled particle size distribution (almost spherical: dp ~500-1000µm) for efficient methylene blue adsorption. The novel preparation method employed in this study successfully produced activated lignin-chitosan pellets. Structural and morphological characterizations were performed using BET, FTIR and SEM-EDX analyses. The influence of contact time, solution 17 pH, ionic strength, initial adsorbate concentration and desorption studies was investigated. The 18 experimental data fitted well with the Langmuir isotherm (R 2 = 0.997), yielding a maximum adsorption capacity of 36.25mg/g. The kinetic data indicated that methylene blue (MB) adsorption onto ALiCE can be represented by the pseudo second-order-model with intraparticle processes initially controlling the process of MB adsorption. Overall, these results indicate that the novel ALiCE offers great potential for removing cationic organic pollutants from rivers and streams.

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A hierarchical trimodal micro-meso-macroporous LDH/MOF nanocomposite as a superior adsorbent for single, simultaneous and consecutive adsorption of a reactive dye and Cr(vi).

The Euler-Euler method plus an intelligent algorithm was used to predict bubbly flow in a reactor as a function of column height. The combination of computational fluid dynamics (CFD) and the adaptive network-based fuzzy inference system (ANFIS) method was used for a chemical bubble column reactor to understand the complex behaviour of fluids in a multiphase reactor. Air fraction as one of the main factors in the scale-up of reactors was selected as an output parameter for the prediction tool (ANFIS method) at different positions in the reactor. To train and test the prediction ability of this method, a 3D position of one CFD element was selected and, based on that position, a training algorithm was started. After an appropriate learning step, the method was used to simulate gas at different locations of the reactor. The different structures of the ANFIS algorithm were designed to obtain a correct predictive tool for fluid behaviour inside the bubble column. The ANFIS approach shows that it can simulate the liquid behaviour and the CFD results and ANFIS output correlate with one another.

Simulación computacional de la concentración por evaporación osmótica del jugo de maracuyá (Passiflora edullis)Simulação computacional da concentração por evaporação osmótica do suco de maracujá (Passiflora edullis)Freddy Forero-Longas * Adriana Patricia Pulido-Díaz ** Kelly Johana Pedroza-Berrío *** AbstractThis study aimed at implementing a comprehensive strategy for the multiphysics simulation of the osmotic evaporation process applied in the concentration of passion fruit juice. The phenomena of mass and momentum transfer were analyzed in Comsol ® and Matlab ® , using a two-dimensional axial geometry as a simplification of the membrane module. Computer simulations were validated through comparisons with experimental data obtained from osmotic evaporation of passion fruit juice previously ultrafiltrated. The juice was concentrated to 52.25 ± 0.36 (°Brix) of soluble solids, reaching a final flux of 0.63 (kg/m 2 h) after 6 hours. The concentrate retained the organoleptic and physicochemical quality characteristics of the original juice when it was reconstituted in water. The models and simulations developed can be used to describe, analyze, and efficiently improve the osmotic evaporation process applied to the concentration of juices.Keywords: computational simulation; hydrophobic membrane; mass transfer; passion fruit. * Ph.D. Universidad de Antioquia (Medellín-Antioquia, Colombia). freddy.forero@udea.edu.co. ** Universidad del Valle (Cali-Valle, Colombia). adriana.pulido@correounivalle.edu.co. *** Corpoica (Espinal-Tolima, Colombia). kpedroza@corpoica.org.co. ResumenEl objetivo de este estudio fue aplicar una estrategia integral para la simulación multifísica del proceso de evaporación osmótica aplicada en la concentración del jugo de maracuyá. Los fenómenos de transferencia de masa y momento fueron implementados en Comsol ® y Matlab ® , usando una geometría axial en dos dimensiones como simplificación del módulo de membranas, y las simulaciones computacionales fueron validadas por comparación con datos experimentales obtenidos de la evaporación osmótica de jugo de maracuyá previamente ultrafiltrado. El jugo fue concentrado hasta 52.25 ± 0.36 (°Brix) de sólidos solubles, alcanzando un flux final de 0.63 (kg/m 2 h) después de 6 horas. El concentrado conservó las características de calidad organolépticas y fisicoquímicas del jugo original al ser reconstituido en agua. Se comprobó que los modelos y las simulaciones desarrollados pueden ser usados para describir, analizar y mejorar de forma más rápida y eficiente el proceso de evaporación osmótica aplicado a la concentración de jugos.Palabras clave: maracuyá; membrana hidrófoba; simulación computacional; transferencia de masa. ResumoO objetivo deste estudo foi aplicar uma estratégia integral para a simulação multifísica do processo de evaporação osmótica aplicada na concentração do suco de maracujá. Os fenômenos de transferência de massa e momento foram implementados em Comsol® e Matlab®, usando uma geometria axial em duas dimensões como simplificação do módulo...

Research Highlights • Molecular separation using microporous membranes • Developing hybrid model based on ANFIS-CFD for the separation • process Optimization of ANFIS structure for prediction of separation process