Optimisation of olive oil extraction by means of enzyme processing aids using response surface methodology

被引:69
|
作者
Aliakbarian, Bahar [1 ]
De Faveri, Danilo [1 ]
Converti, Attilio [1 ]
Perego, Patrizia [1 ]
机构
[1] Univ Genoa, Dept Chem & Proc Engn GB Bonino, I-16145 Genoa, Italy
关键词
olive oil; phenolics; enzymes; optimisation; modelling;
D O I
10.1016/j.bej.2008.05.006
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The aim of the present work was to optimise the oil extraction process of the Italian olive fruits of Coratina cultivar using a previously selected enzyme formulation. To this Purpose, the combined effects of the malaxation time (t) and the concentration of the enzyme formulation (C-E,), added at the beginning of the malaxation step, were investigated by a 3(2) full factorial design combined with response Surface methodology, selecting the concentration of total polyphenols (TP) and o-diphenols (OD), the oil extraction yield (Y) and the antiradical power (ARP) as the response variables. The model enabled LIS to identify the optimum operating conditions (t = 91.64 min and C-E = 25.00mL/kg(paste)), under which it predicted TP = 844.30 mu g(CAE)/g(oil:); OD = 120.80 mu g(CAE)/g(oil); ARP = 24.93 mu g(DPPH)/mu L-extract and Y = 15.72g(oil)/100g(paste). These results, which were confirmed by additional tests performed within selected ranges of variables, suggest that the use of the the proposed enzyme treatment could enhance quantity and quality levels of the Product. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:34 / 40
页数:7
相关论文
共 50 条
  • [11] OPTIMISATION OF THE EXTRACTION OF FLAVONOIDS FROM APPLES USING RESPONSE SURFACE METHODOLOGY
    Liaudanskas, M.
    Zymone, K.
    Viskelis, J.
    Janulis, V.
    ITALIAN JOURNAL OF FOOD SCIENCE, 2018, 30 (01) : 89 - 101
  • [12] Optimisation of microwave-assisted extraction of triterpenoic acids from olive mill waste using response surface methodology
    Ozkan, G.
    Karacabey, E.
    Arslan, N.
    Odabasi, N.
    QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS, 2017, 9 (02) : 179 - 185
  • [13] Optimisation of bleaching conditions for soybean oil using response surface methodology
    Ortega-García, J
    Medina-Juárez, LA
    Gámez-Meza, N
    Noriega-Rodriguez, JA
    FOOD SCIENCE AND TECHNOLOGY INTERNATIONAL, 2005, 11 (06) : 443 - 449
  • [14] Effect of ultrasound on olive oil extraction and optimization of ultrasound-assisted extraction of extra virgin olive oil by response surface methodology (RSM)
    Aydar, A. Y.
    Bagdatlioglu, N.
    Koseoglu, O.
    GRASAS Y ACEITES, 2017, 68 (02)
  • [15] Optimisation of Croton gratissimus Oil Extraction by n-Hexane and Ethyl Acetate Using Response Surface Methodology
    Jiyane, Phiwe Charles
    Tumba, Kaniki
    Musonge, Paul
    JOURNAL OF OLEO SCIENCE, 2018, 67 (04) : 369 - 377
  • [16] Optimisation of the extraction of phenolic compounds from apples using response surface methodology
    Alberti, Aline
    Ferreira Zielinski, Acacio Antonio
    Zardo, Danianni Marinho
    Demiate, Ivo Mottin
    Nogueira, Alessandro
    Mafra, Luciana Igarashi
    FOOD CHEMISTRY, 2014, 149 : 151 - 158
  • [17] Extraction of curcuminoids by using ethyl lactate and its optimisation by response surface methodology
    D'Archivio, Angelo Antonio
    Maggi, Maria Anna
    Ruggieri, Fabrizio
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2018, 149 : 89 - 95
  • [18] Optimization of Tunisian Olive Pomace Oil Esterification Using Response Surface Methodology
    Hadhri, Narjess
    Hamzaoui, Ahmed Hichem
    Ben Ayed, Taicir
    Saied, Taieb
    CHEMISTRY AFRICA-A JOURNAL OF THE TUNISIAN CHEMICAL SOCIETY, 2019, 2 (03): : 497 - 506
  • [19] Optimization of Tunisian Olive Pomace Oil Esterification Using Response Surface Methodology
    Narjess Hadhri
    Ahmed Hichem Hamzaoui
    Taicir Ben Ayed
    Taieb Saied
    Chemistry Africa, 2019, 2 : 497 - 506
  • [20] Development and optimisation of a non conventional extraction process of natural dye from olive solid waste using response surface methodology (RSM)
    Elksibi, Imen
    Haddar, Wafa
    Ben Ticha, Manel
    Gharbi, Rafik
    Mhenni, Mohamed F.
    FOOD CHEMISTRY, 2014, 161 : 345 - 352