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食品研究与开发:2021,42(23):111-117
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响应面优化沙棘果油超声辅助酶法脱胶工艺
(新疆农业大学 食品科学与药学学院,新疆 乌鲁木齐 830052)
Optimization of Ultrasound-Assisted Enzymatic Degumming Process of Sea Buckthorn Fruit Oil via Response Surface Methodology
(School of Food Science and Pharmacy,Xinjiang Agricultural University,Urumqi 830052,Xinjiang,China)
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投稿时间:2020-12-22    
中文摘要: 脱胶是油脂精炼的重要工序之一,该文选择超声辅助酶法对沙棘果油进行脱胶处理。选取磷脂酶A1(phospholipase A1,PLA1),对沙棘果油进行超声辅助酶法脱胶工艺研究。分别研究酶添加量、超声时间、超声温度、pH值、水添加量、超声功率对沙棘果油脱胶效果的影响。在单因素试验基础上,根据Box-Behnken试验设计原理,利用响应面法优化脱胶工艺条件。结果表明:最佳工艺条件为酶添加量5%、超声时间39 min、超声温度50℃、超声功率180W。在此条件下,模型预测沙棘果油的磷脂含量为0.095 mg/g,实测值为0.097 mg/g,误差率为2.100%,证明模型可靠,可用于沙棘果油脱胶。
Abstract:Degumming is one of the key processes in oil refining.This study opted to use the ultrasonic coenzyme method to study the optimal conditions in which to degum sea buckthorn fruit oil.Phospholipase A1(phospholipase A1,PLA1)was selected to be used in this study.The effects that the changes to certain factors had on the sea buckthorn fruit oil,were studied until a full set of optimal conditions for the degumming process could be derived.The factors that were examined included the quantity of enzyme added ultrasonic time used,ultrasonic temperature applied,the pH value of the oil,amount of water added,and ultrasonic frequencies that were applied during the degumming process.The response surface method was used to optimize the conditions of the degumming process;this was selected using the single factor test along with the box-Behnken central combined testing design principle.According to the results,the optimal conditions were as follows:an enzyme dosage of 5%,ultrasonic time of 39 minutes,ultrasonic temperature of 50℃,and an ultrasonic power of 180 W.Under these conditions,the predicted phosphorus content of sea buckthorn fruit oil was 0.095 mg/g.The measured value was 0.097 mg/g,with an error rate of 2.100%.The low error rate proved that the derived model was reliable and could be used for optimal degumming of sea buckthorn fruit oil.
文章编号:202123018     中图分类号:    文献标志码:
基金项目:自治区公益性科研院所基本科研业务经费资助项目(KY2020112)
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