138,808 research outputs found

    A process parameters dataset for the extrusion 3D printing of nutraceutical oral dosage forms formulated with monoglycerides oleogels and phytosterols mixtures

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    We report the parameter settings used in different 3D printing tests carried out to evaluate the production of nutraceutical oral forms by using mixtures of monoglycerides oleogels and phytosterols as printing materials. The printer employed was an ad-hoc extrusion 3D printing system adapted from a Prusa printer. The dataset here informed would serve as a starting point for the implementation of the 3D printing process to fabricate products using oleogels or printing materials with similar characteristics. This data is related to our recent research article entitled “Extrusion 3D printing of nutraceutical oral dosage forms formulated with monoglycerides oleogels and phytosterols mixtures” [1].Fil: Cotabarren, Ivana MarĂ­a. Universidad Nacional del Sur. Departamento de IngenierĂ­a QuĂ­mica; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Cruces, Sofia. Universidad Nacional del Sur. Departamento de IngenierĂ­a QuĂ­mica; ArgentinaFil: Palla, Camila Andrea. Universidad Nacional del Sur. Departamento de IngenierĂ­a QuĂ­mica; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; Argentin

    Densities and phase equilibria of hydrogen, propane and vegetable oil mixtures. Experimental data and thermodynamic modeling

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    Heterogeneous catalytic gas-liquid reactions are intensified when carried out in the homogenous fluid phase by means of a supercritical co-solvent. For instance, supercritical propane is used to enhance yield in the hydrogenation of vegetable oils. Besides phase equilibrium knowledge, volumetric information is also needed to elucidate kinetic mechanisms and design continuous supercritical reactors. In this work, we report new experimental PvT data of the reactive mixture H2+sunflower oil+propane using the isochoric method. In addition, the phase equilibria and PvT data are modeled with the GCA and RK-PR equations of state, respectively. The isochoric method not only provides PvT information under the reaction conditions, but also the reactive system compressibility, key variable to attain enhanced transport properties in the supercritical reactors.Fil: Hegel, Pablo Ezequiel. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Cotabarren, Natalia Soledad. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Brignole, Esteban Alberto. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Pereda, Selva. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; Argentina. University of KwaZulu-Natal; SudĂĄfric

    Dynamic parameter estimation problem for ethanol production from seaweed

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    Ethanol has been studied extensively as one of the current and probably future energy vectors. Fermentation of hydrolysed oligosaccharides from macroalgae biomass to ethanol has been certified, and several processing options have been proposed. In the present work, we model the production of ethanol based on Laminaria, a seaweed genus that belongs to the so-called "brown algae" group, as the carbon source. In brown algae, the most relevant sugars that can be used as substrate for fermentation are mannitol -the alcohol form of the sugar mannose- and laminaran, a linear polysaccharide of(1,3)-ÎČ-Dglucopyranose. We consider the yeast Pichia angophorae as the fermenting microorganism. The model includes dynamic mass balances for biomass, ethanol, mannitol and laminaran. Growth is controlled via limiting functions that modify the biomass equation for temperature and oxygen transfer rate (OTR). It is also modified by including a term that considers inhibition by ethanol. Based on the proposed model, a dynamic parameter estimation problem is formulated, the objective function being weighted least-squares fit to data, subject to the mass balance equations. The data set for parameter estimation was obtained in batch liquid cultures, with experiments performed over 40 hours. Numerical results provide useful insights on ethanol production using macroalgae biomass as carbon sourceFil: Delpino, Claudio. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: de Genaro, Pablo Adrian. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Di Maggio, Jimena Andrea. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Estrada, Vanina Gisela. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: DĂ­az, MarĂ­a Soledad. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; Argentin

    Design of stable metabolic networks

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    In this work, we propose eigenvalue optimization combined with Lyapunov theory concepts to ensure stability of the Embden—Meyerhof–Parnas pathway, the pentosephosphate pathway, the phosphotransferase system and fermentation reactions of Escherichia coli. We address the design of a metabolic network for the maximization of different metabolite production rates. The first case study focuses on serine production, based on a model that consists of 18 differential equations corresponding to dynamic mass balances for extracellular glucose and intracellular metabolites, and thirty kinetic rate expressions. A second case study addresses the design problem to maximize ethanol production, based on a dynamic model that involves mass balancesfor 25 metabolites and 38 kinetic rate equations. The nonlinear optimization problem including stability constraints has been solved with reduced space Successive Quadratic Programming techniques. Numerical results provide useful insights on the stability properties of the studied kinetic models.Fil: Di Maggio, Jimena Andrea. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Diaz Ricci, Juan Carlos. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - TucumĂĄn. Instituto Superior de Investigaciones BiolĂłgicas. Universidad Nacional de TucumĂĄn. Instituto Superior de Investigaciones BiolĂłgicas; ArgentinaFil: DĂ­az, MarĂ­a Soledad. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; Argentin

    Ultrafiltration Fibers like Bioreactors

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    A polysulfone ultrafiltration membrane with pectinase physically immobilized on it by a dynamic formation method was used to examine the potential of these reactive membranes in applications involving solutions containing pectin. The effect of various operational parameters such as: pH of enzyme and pectin solutions, NaCl, retentate flow rate, and enzyme (Ce) and substrate (Cp) concentrations on the production of reducing compounds expressed as galacturonic acid (Ca), was investigated. It was found that the maximum Ca values were obtained when: (i) enzyme solution to immobilize, without NaCl, had pH values between 4.2 and 4.6 and enzyme concentration from 5.0 to 7.5 mg/mL; (ii) pectin solution had initial pH values between 4.2 and 5.0 and a concentration of 3 mg/mL; and (iii) retentate flow rate was 0.025 L/minFil: Carrin, Maria Elena. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Ceci, Liliana NoemĂ­. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Lozano, Jorge Enrique. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; Argentin

    Dynamic Modelling and Optimisation of Large-Scale Cryogenic Separation Processes

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    In this work, the open loop dynamic optimisation of a large-scale natural gas processing plant is performed. A rigorous differential-algebraic equation (DAE) model has been formulated to represent main plant units, such as shell and tube heat exchangers, highpressure separator and demethanizing column. In the shell and tube heat exchangers, the hot stream partially condenses and equations to consider the partial condensation of the fluids have been included. A rigorous index one model for the demethanizing column has been developed. The DAE optimisation problem is solved with a simultaneous approach, in which both state and control variables are discretised and the original DAE optimisation model is transformed into a large-scale nonlinear problem (NLP), which is solved using Sequential Quadratic Programming (SQP) methods. Optimal profiles have been obtained for main operating variables to achieve an enhanced product recovery.Fil: Rodriguez, Mariela Alejandra. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: DĂ­az, MarĂ­a Soledad. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; Argentin

    Biocomposites Based on Thermoplastic Starch and Granite Sand Quarry Waste

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    Granite stone is a by-product of the rock crushing manufacturing. An industrial waste in powder form that causes health problems and environmental pollution. Fine particles fraction can be used as a partial replacement of sand in concrete manufacture. In this work, an alternative exploitation of this waste fraction is proposed. Granite sand (GS) with particles mean size of ~1 ÎŒm was employed as thermoplastic starch (TPS) filler at different concentrations. Biocomposites were obtained by melt-mixing and thermo-compression, achieving translucent and easy to handle films. A good GS dispersion within the matrix was evidenced by SEM. Mineral presence induced a shift of starch’s melting point to higher values and a better thermal resistance. TPS UV absorption capacity was increased ~90% by GS addition. An increment in TPS Young’s modulus and maximum tensile stress of 5 and 3 times, respectively was observed by adding 5 % w/w GS.Fil: Passaretti, MarĂ­a Gabriela. Universidad Nacional del Sur. Departamento de IngenierĂ­a QuĂ­mica; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; ArgentinaFil: Ninago, Mario Daniel. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Aplicadas a la Industria; ArgentinaFil: Paulo, Cecilia InĂ©s. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Tandil. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires; ArgentinaFil: Petit, Andres. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Tandil. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires; ArgentinaFil: Irassar, Edgardo FabiĂĄn. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Tandil. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires; ArgentinaFil: Vega, Daniel Alberto. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Instituto de FĂ­sica del Sur. Universidad Nacional del Sur. Departamento de FĂ­sica. Instituto de FĂ­sica del Sur; ArgentinaFil: Villar, Marcelo Armando. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; Argentina. Universidad Nacional del Sur. Departamento de IngenierĂ­a QuĂ­mica; ArgentinaFil: Lopez, Olivia Valeria. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; Argentin

    Life cycle analysis of Jatropha curcas as a sustainable biodiesel feedstock in Argentina

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    Despite constant changes to the industry in recent years, Argentina remains one of the most important producers of biodiesel in the world. Approximately 90% of the biodiesel produced in Argentina is from soybean, a fact which has raised concern over the fuelŽs sustainability. For this reason, alternative crops such as Jatropha curcas are being explored. The aim of this study is to assess the environmental impact of Jatropha-based biodiesel for the specific case of Argentina through life cycle assessment (LCA). The processes considered in this study include Jatropha seed cultivation, seed transportation, oil extraction, and transesterification. Two cultivation scenarios are examined in order to explore trade-offs between land use type and agricultural inputs. This study also incorporates land and water use, which are typically omitted from LCA due to complexity and lack of available information. Inventory data for the system were collected and analyzed using the ReCiPe impact assessment method. The results show a 21% reduction of kg CO2 equivalent for the overall Jatropha biodiesel production process when using fertile land with low-input agriculture instead of marginal land use with fertilizer and irrigation.Fil: Beaver, Alexa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Gonzalez Castaño, Fabio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Díaz, María Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentin

    Dynamic Coefficients of Finite Length Journal Bearing. Evaluation Using a Regular Perturbation Method

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    A set of simple expressions is deduced for static and dynamic parameters associated to hydrodynamic journal bearings (JB). The behavior of this system is governed by two dimensionless numbers, the aspect ratio, L/D, and the eccentricity ratio, η. In a previous work, we presented a regular perturbation method that extended the Ocvirk solution and successfully described isothermal JBs up to L/D and η of ∌1/2. Presently, we extend that methodology, modified using a smaller perturbation parameter, to obtain analytical expressions of the dynamic coefficients, as well as static variables like friction factor, load carrying capacity, lubricant flow rate and phase angle. The deduced expressions successfully describe the static and dynamic behavior of JBs up to L/D and η of ∌3/4.Fil: Merelli, Claudio Ernesto. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; Argentina. Universidad Nacional del Sur. Departamento de IngenierĂ­a QuĂ­mica; ArgentinaFil: BarilĂĄ, Daniel Oscar. Universidad Nacional de la Patagonia "San Juan Bosco"; ArgentinaFil: Vignolo, Gustavo Gabriel. Universidad Nacional de la Patagonia "San Juan Bosco"; ArgentinaFil: Quinzani, Lidia Maria. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Planta Piloto de IngenierĂ­a QuĂ­mica. Universidad Nacional del Sur. Planta Piloto de IngenierĂ­a QuĂ­mica; Argentin
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