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Optimization of parameters for enhanced oil recovery from enzyme treated wild apricot kernels.

机译:优化参数以提高从酶处理过的野生杏子仁中采油的能力。

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Present investigation was undertaken with the overall objective of optimizing the enzymatic parameters i.e. moisture content during hydrolysis, enzyme concentration, enzyme ratio and incubation period on wild apricot kernel processing for better oil extractability and increased oil recovery. Response surface methodology was adopted in the experimental design. A central composite rotatable design of four variables at five levels was chosen. The parameters and their range for the experiments were moisture content during hydrolysis (20-32%, w.b.), enzyme concentration (12-16% v/w of sample), combination of pectolytic and cellulolytic enzyme i.e. enzyme ratio (30:70-70:30) and incubation period (12-16 h). Aspergillus foetidus and Trichoderma viride was used for production of crude enzyme i.e. pectolytic and cellulolytic enzyme respectively. A complete second order model for increased oil recovery as the function of enzymatic parameters fitted the data well. The best fit model for oil recovery was also developed. The effect of various parameters on increased oil recovery was determined at linear, quadric and interaction level. The increased oil recovery ranged from 0.14 to 2.53%. The corresponding conditions for maximum oil recovery were 23% (w.b.), 15 v/w of the sample, 60:40 (pectolytic:cellulolytic), 13 h. Results of the study indicated that incubation period during enzymatic hydrolysis is the most important factor affecting oil yield followed by enzyme ratio, moisture content and enzyme concentration in the decreasing order. Enzyme ratio, incubation period and moisture content had insignificant effect on oil recovery. Second order model for increased oil recovery as a function of enzymatic hydrolysis parameters predicted the data adequately. copyright Association of Food Scientists & Technologists (India) 2011.
机译:进行本研究的总体目的是优化酶参数,即在野生杏仁加工过程中水解过程中的水分含量,酶浓度,酶比和孵育时间,以提高油的提取率并提高油的采收率。在实验设计中采用了响应面方法。选择了在五个级别上四个变量的中央复合可旋转设计。实验的参数及其范围是水解过程中的水分含量(20-32%,wb),酶浓度(样品的12-16%v / w),果胶酶和纤维素酶的组合,即酶比(30:70- 70:30)和潜伏期(12-16 h)。食用曲霉曲霉和绿色木霉曲霉分别用于生产粗酶,即果胶分解酶和纤维素分解酶。完整的二阶模型可以提高采油量,这是酶参数的函数,可以很好地拟合数据。还开发了用于石油采收的最佳拟合模型。在线性,二次和交互作用水平下确定了各种参数对提高采油率的影响。提高的采油率在0.14%至2.53%之间。最大采油量的相应条件是23%(w.b.),样品的15 v / w,60:40(果胶:纤维素分解),13 h。研究结果表明,酶促水解的潜伏期是影响油脂产量的最重要因素,其次是酶比,含水量和酶浓度的降序排列。酶比,潜伏期和水分含量对油的回收率影响不大。增加的采油量作为酶水解参数的函数的二阶模型充分预测了数据。印度食品科学家和技术人员协会版权所有2011。

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