Efficient Measurement of LiquidLiquid Equilibria Using Automation and Optimal Experimental Design (Paperback)

Idioma: inglés

Editorial: Verlag G. Mainz, 2015

395886077X / 9783958860773

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Paperback. Knowledge of the phase behavior of liquidliquid systems is indispensable for the design and optimization of process equipment. However, the ab initio prediction of liquidliquid equilibria (LLE) is not yet reliable. Therefore, experimental generation of LLE data is still necessary. Current methods for the characterization of LLE consume large amounts of material, and the large volumes lead to large diffusion paths and hence long equilibration times, unless the mixture is thoroughly stirred. The components are typically quantified chromatographically, because chromatographic methods allow for the analysis of a broad range of chemicals. Automated setups are able to reduce the overall system volume, but merely determine partition ratios. They often use spectrometric quantification, because only one component is of interest. The use of spectrometry instead of chromatography leads to shorter times for analysis, but restricts the range of chemicals to optically active compounds.In this work, the benefits of the automated setups and of the conventional characterization of LLE have been combined: a platform has been set up to reduce the need for human interaction from sample preparation, to chromatographic analysis, up to data processing and reduction. The system volumes could be reduced from typically 25mL in jacketed equilibrium cells to 1 mL. The developed calibration technique allows for a substantial reduction in material, because neither solvents nor standards are needed. Instead of long equilibration times, now analytics is the bottleneck in the characterization of LLE, because chromatographic methods are rather slow. Therefore, the use of model-based optimal experimental design was investigated for the characterization of LLE, so that the characterization time could be reduced by reducing the number of LLE experiments. The optimal designs concentrate on few distinct experimental settings, and a large fraction of the experimental effort is put on areas where the curvature of the binodal curve is large. By applying model-based optimal experimental design, the prediction accuracy could at least be improved by a factor 2. Consequentially, the number of experiments could be reduced by a factor 2 without losing prediction accuracy compared to conventional designs. The developed automated setup was used to investigate the phase behavior of novel biofuel-blends with water. It was found that the water solubility in pure biofuels was up to 4 orders of magnitude larger than in conventional fuels. However, by adding blend components, the water solubility could be drastically reduced. The biofuel solubility in water is much larger than the solubility of conventional fuels in water. The blend components did not influence the solubility of conventional fuels in water. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

N° de ref. del artículo 9783958860773

Título
Efficient Measurement of LiquidLiquid Equilibria Using Automation and Optimal Experimental Design (Paperback)
Autor
Dr Dominique Sylvie Dechambre
Editorial
Verlag G. Mainz
Año de publicación
2015
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 10
395886077X
ISBN 13
9783958860773

Grand Eagle Retail

Bensenville, IL, Estados Unidos de America

Vendedor de 5 estrellas

Vendedor de IberLibro desde 12 de octubre de 2005

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