ANN modeling of extraction kinetics of essential oil from tarragon using ultrasound pre-treatment

Engineering in Agriculture, Environment and Food - Tập 11 - Trang 25-29 - 2018
Leila Bahmani1, Mohammad Aboonajmi1, Akbar Arabhosseini1, Hossein Mirsaeedghazi2
1Department of Agrotechnology, College of Abouraihan, University of Tehran, Tehran, Iran
2Department of Food Technology, College of Abouraihan, University of Tehran, Tehran, Iran

Tài liệu tham khảo

Aglarova, 2008, Biological characteristics and useful properties of tarragon (Artemisia dracunculus L.) (review), Pharm. Chem. J., 42, 81, 10.1007/s11094-008-0064-3 Arabhosseini, 2009, Modeling of thin layer drying of tarragon (Artemisia dracunculus L.), Industrial Crops Prod., 29, 53, 10.1016/j.indcrop.2008.04.005 Asefpour Vakilian, 2013, An artificial neural network approach to identify fungal diseases of cucumber (Cucumis sativus L.) plants using digital image processing, Archives Phytopathology Plant Prot., 46, 1580, 10.1080/03235408.2013.772321 Chemat, 2011, Applications of ultrasound in food technology: processing, preservation and extraction, Ultrason. Sonochemistry, 18, 813, 10.1016/j.ultsonch.2010.11.023 Chemat, 2004, Comparison of conventional and ultrasound-assisted extraction of carvone and limonene from caraway seeds, Flavour Fragr. J., 19, 188, 10.1002/ffj.1339 Dahmoune, 2015, Ultrasound assisted extraction of phenolic compounds from P. lentiscus L. leaves: comparative study of artificial neural network (ANN) versus degree of experiment for prediction ability of phenolic compounds recovery, Industrial Crops Prod., 77, 251, 10.1016/j.indcrop.2015.08.062 El Asbahani, 2015, Essential oils: from extraction to encapsulation, Int. J. Pharm., 483, 220, 10.1016/j.ijpharm.2014.12.069 Hashemi, 2014, An artificial neural network modeling for force control system of a robotic pruning machine, J. Inf. Organ. Sci., 38, 35 Khajeh, 2012, Application of artificial neural network in predicting the extraction yield of essential oils of Diplotaenia cachrydifolia by supercritical fluid extraction, J. Supercrit. Fluids, 69, 91, 10.1016/j.supflu.2012.05.006 Kuvendziev, 2014, Artificial neural network modelling of supercritical fluid CO2 extraction of polyunsaturated fatty acids from common carp (Cyprinus carpio L.) viscera, J. Supercrit. Fluids, 92, 242, 10.1016/j.supflu.2014.06.007 Mirsaeedghazi, 2010, Effect of membrane clarification on the physicochemical properties of pomegranate juice, Int. J. food Sci. Technol., 45, 1457, 10.1111/j.1365-2621.2010.02284.x Mitra, 2011, Coumarin extraction from cuscuta reflexa using supercritical fluid carbon dioxide and development of an artificial neural network model to predict the coumarin yield, Food Bioprocess Technol., 4, 737, 10.1007/s11947-008-0179-2 Mjalli, 2007, Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance, J. Environ. Manag., 83, 329, 10.1016/j.jenvman.2006.03.004 Pingret, 2014, An improved ultrasound clevenger for extraction of essential oils, Food Anal. Methods, 7, 9, 10.1007/s12161-013-9581-0 Pingret, 2012, Lab and pilot-scale ultrasound-assisted water extraction of polyphenols from apple pomace, J. Food Eng., 111, 73, 10.1016/j.jfoodeng.2012.01.026 Sadrzadeh, 2008, Separation of lead ions from wastewater using electrodialysis: comparing mathematical and neural network modeling, Chem. Eng. J., 144, 431, 10.1016/j.cej.2008.02.023 Samaram, 2015, Optimisation of ultrasound-assisted extraction of oil from papaya seed by response surface methodology: oil recovery, radical scavenging antioxidant activity, and oxidation stability, Food Chem., 172, 7, 10.1016/j.foodchem.2014.08.068 Shojaeimehr, 2014, A modeling study by response surface methodology (RSM) and artificial neural network (ANN) on Cu 2+ adsorption optimization using light expended clay aggregate (LECA), J. Industrial Eng. Chem., 20, 870, 10.1016/j.jiec.2013.06.017 Vilkhu, 2008, Applications and opportunities for ultrasound assisted extraction in the food industry—a review, Innovative Food Sci. Emerg. Technol., 9, 161, 10.1016/j.ifset.2007.04.014 Wang, 2006, Recent advances in extraction of nutraceuticals from plants, Trends Food Sci. Technol., 17, 300, 10.1016/j.tifs.2005.12.004 Wang, 2015, Ultrasound-assisted heating extraction of pectin from grapefruit peel: optimization and comparison with the conventional method, Food Chem., 178, 106, 10.1016/j.foodchem.2015.01.080 Wen, 2012, Ultrasound-assisted extraction of phenolics from longan (Dimocarpus longan Lour.) fruit seed with artificial neural network and their antioxidant activity, Food Anal. Methods, 5, 1244, 10.1007/s12161-012-9370-1 Xi, 2013, Artificial neural network modeling and optimization of ultrahigh pressure extraction of green tea polyphenols, Food Chem., 141, 320, 10.1016/j.foodchem.2013.02.084 Xu, 2015, Optimization of ultrasound-assisted compound enzymatic extraction and characterization of polysaccharides from blackcurrant, Carbohydr. Polym., 117, 895, 10.1016/j.carbpol.2014.10.032