{"title":"Autohydrolysis Treatment of Olive Cake to Extract Fructose and Sucrose","authors":"G. Bl\u00e1zquez, A. G\u00e1lvez-P\u00e9rez, M. Calero, I. I\u00e1\u00f1ez-Rodr\u00edguez, M. A. Mart\u00edn-Lara, A. P\u00e9rez","volume":147,"journal":"International Journal of Environmental and Ecological Engineering","pagesStart":149,"pagesEnd":153,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10010149","abstract":"
The production of olive oil is considered as one of the most important agri-food industries. However, some of the by-products generated in the process are potential pollutants and cause environmental problems. Consequently, the management of these by-products is currently considered as a challenge for the olive oil industry. In this context, several technologies have been developed and tested. In this sense, the autohydrolysis of these by-products could be considered as a promising technique. Therefore, this study focused on autohydrolysis treatments of a solid residue from the olive oil industry denominated olive cake. This one comes from the olive pomace extraction with hexane. Firstly, a water washing was carried out to eliminate the water soluble compounds. Then, an experimental design was developed for the autohydrolysis experiments carried out in the hydrothermal pressure reactor. The studied variables were temperature (30, 60 and 90 ºC) and time (30, 60, 90 min). On the other hand, aliquots of liquid obtained fractions were analysed by HPLC to determine the fructose and sucrose contents present in the liquid fraction. Finally, the obtained results of sugars contents and the yields of the different experiments were fitted to a neuro-fuzzy and to a polynomial model.<\/p>\r\n","references":"[1]\tA. P\u00e9rez, A. G\u00e1lvez-P\u00e9rez, M. A. Mart\u00edn-Lara, M. Calero, A. Ronda, Kinetic analysis of pyrolysis and combustion of the olive tree pruning by chemical fractionation. Bioresour Techno, vol. 249, pp. 557-566, 2018.\r\n[2]\tAICA, 2017, available at: http:\/\/www.juntadeandalucia.es\/agriculturaypesca\/observatorio\/servlet\/FrontController?action=Subsector&table=3940&ec=subsector&subsector=33.\r\n[3]\tJ. A. Callejo L\u00f3pez, T. Parra Heras, M. Trinidad, D. Gordillo, De Contenidos Resumen, \u00cd., 2015. Evaluaci\u00f3n de la producci\u00f3n y usos de los subproductos de las agroindustrias del olivar en Andaluc\u00eda. Cons. Gesti\u00f3n Agrar. y Pesca Andalucia volume 1. \r\n[4]\tF. Banat, S. Al-Asheh, R. Al-Ahmad, F. Bni-Khalid, Bench-scale and packed bed sorption of methylene blue using treated olive pomace and charcoal. Bioresour Technol, vol. 98, pp. 3017\u20133025, 2007.\r\n[5]\tConsejer\u00eda de Agricultura y Pesca. Potencial energ\u00e9tico de los subproductos de la industria olivarera en Andaluc\u00eda. Secretar\u00eda general del medio rural y la producci\u00f3n ecol\u00f3gica. 2010.\r\n[6]\thttp:\/\/www.fundacionfedna.org\/node\/469.\r\n[7]\tK. Haddad, M. Jeguirim, B. Jerbi, A. Chouchene, P. Dutournie, P. Thevenin, L. Ruidavets, S. Jellali, L. Limousy, Olive Mill Wastewater: From a Pollutant to Green Fuels, Agricultural Water Source and Biofertilizer. ACS Sustainable Chem. Eng., vol. 5, pp. 8988\u22128996, 2017.\r\n[8]\tL. Delgado-Moreno, R. Nogales, E. Romero, Wastes from the olive oil production in sustainable bioremediation systems to prevent pesticides water contamination. Int. J. Environ. Sci. Technol., vol. 14, pp. 2471\u20132484, 2017.\r\n[9]\tL. Quesada, A. P\u00e9rez, M. Calero, G. Bl\u00e1zquez, M. A. Mart\u00edn Lara, Kinetic study of the thermal degradation of the olive cake in a scheme of fractionation and its behaviour impregnated of metals. Bioresour. Technol. https:\/\/doi.org\/10.1016\/j.biortech.2018.04.014.\r\n[10]\tMontgomery, D. C. Dise\u00f1o y an\u00e1lisis de experimentos. Grupo Editorial Iberoamericana, Mexico, 1991.\r\n[11]\tZadeh, L. A. Fuzzy sets. Information and Control. Vol. 8, pp. 338\u2013353, 1965.\r\n[12]\tWorks, G. A. Neural network basics. Proc. AUTOFACT\u201989. 1989, 29-1-29-9.\r\n[13]\tJang, J. S. R. and Sun, C. T.; Mizutani, E. Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence. Prentice Hall. Englewood Cliffs, 1997.\r\n[14]\tM. Calero, I. I\u00e1\u00f1ez-Rodr\u00edguez, A. P\u00e9rez, M. A. Mart\u00edn-Lara, G. Bl\u00e1zquez, Neural fuzzy modelization of copper removal from water by biosorption in fixed-bed columns using olive stone and pinion Shell. Bioresour. Technol., vol. 252, pp. 100\u2013109, 2018.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 147, 2019"}