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《山东大学学报(理学版)》 ›› 2024, Vol. 59 ›› Issue (11): 85-92.doi: 10.6040/j.issn.1671-9352.0.2024.316

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酶法催化高酸值米糠油脱臭馏出物甲酯化

周游(),李攀登,贺雷雨,孙丽慧*()   

  1. 大连理工大学化工海洋与生命学院，辽宁 盘锦 124221
  • 收稿日期:2024-09-13 出版日期:2024-11-20 发布日期:2024-11-29
  • 通讯作者: 孙丽慧 E-mail:2337151048@qq.com;sunlihui@dlut.edu.cn
  • 作者简介:周游(1998—)，男，硕士研究生，研究方向为生物催化与转化. E-mail: 2337151048@qq.com
  • 基金资助:
    辽宁省自然科学基金项目(2019-MS-044)

Enzymatic catalysis for methyl esterification of high acid value rice bran oil deodorized distillate

You ZHOU(),Pandeng LI,Leiyu HE,Lihui SUN*()   

  1. School of Chemical Engineering, Ocean and Life Sciences, Dalian University of Technology, Panjin 124221, Liaoning, China
  • Received:2024-09-13 Online:2024-11-20 Published:2024-11-29
  • Contact: Lihui SUN E-mail:2337151048@qq.com;sunlihui@dlut.edu.cn

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摘要：

为了提高米糠油脱臭馏出物的利用率，本研究采用脂肪酶Eversa Transform 2.0催化米糠油脱臭馏出物甲酯化，以酯化率和体系中游离脂肪酸的含量为指标，通过单因素实验研究反应时间、加酶量、醇油摩尔比和含水量的影响，在此基础上采用响应面实验对甲酯化条件进行优化。结果表明米糠油脱臭馏出物甲酯化的最佳反应条件：酶添加量为1.2%；醇油摩尔比为5.9 ∶1；含水量为11.8%；反应时间为9.6 h。在此条件下酯化率为97.37%。综上，廉价的液体脂肪酶Eversa Transform 2.0催化米糠油脱臭馏出物甲酯化，可以得到较高的酯化率，为体系中植物甾醇、维生素E等活性成分的分离提取提供了绿色高效的预处理方法。

关键词: 米糠油脱臭馏出物, 高酸值油, 酶催化, 响应面法, 甲酯化

Abstract:

In order to improve the utilization rate of rice bran oil deodorized distillate, methyl esterification of rice bran oil deodorized distillate was catalyzed by the liquid lipase Eversa Transform 2.0. The esterification rate and the content of free fatty acids in the system were used as the evaluation indicators. The effects of reaction time, enzyme amount, molar ratio of alcohol to oil, and water content on the esterification rate were studied by single factor experiments. On this basis, the response surface experiment was used to optimize the esterification conditions. The results showed that the optimal conditions for methyl esterification of rice bran oil deodorized distillate were 1.2% enzyme addition, 5.9 ∶1 molar ratio of alcohol to oil, 11.8% water content, and 9.6 h reaction time. Under these conditions, the esterification rate was 97.37%. In summary, the low-cost liquid lipase Eversa Transform 2.0 catalyzed the esterification of rice bran oil deodorized distillate, which could obtain a high esterification rate and provide a green and efficient pretreatment method for the separation and extraction of phytosterols, vitamin E, and other active components in the system.

Key words: rice bran oil deodorized distillate, high acid value oil, enzyme catalysis, response surface methodology, methyl esterification

中图分类号: 

  • Q503

表1

Box-Behnken因素水平表"

水平 X1/h X2/% X3 X4/%
-1 2 0.2 2∶1 6
0 6 0.6 4∶1 10
1 10 1.0 6∶1 14

图1

反应时间对酯化的影响"

图2

加酶量对酯化的影响"

图3

醇油摩尔比对酯化的影响"

图4

含水量对酯化的影响"

表2

Box-Behnken试验设计及响应值"

编号 X1/h X2/% X3 X4/% rest/%   编号 X1/h X2/% X3 X4/% rest/%
1 2 0.2 5 10 53.91   16 6 1.4 8 10 83.84
2 10 0.2 5 10 77.42 17 2 0.8 2 10 59.63
3 2 1.4 5 10 75.56 18 10 0.8 2 10 66.72
4 10 1.4 5 10 94.75 19 2 0.8 8 10 53.45
5 6 0.8 2 4 63.29 20 10 0.8 8 10 82.49
6 6 0.8 8 4 58.48 21 6 0.2 5 4 58.31
7 6 0.8 2 16 62.54 22 6 1.4 5 4 73.84
8 6 0.8 8 16 73.52 23 6 0.2 5 16 59.17
9 2 0.8 5 4 55.73 24 6 1.4 5 16 92.10
10 10 0.8 5 4 72.11 25 6 0.8 5 10 95.56
11 2 0.8 5 16 65.26 26 6 0.8 5 10 93.86
12 10 0.8 5 16 80.83 27 6 0.8 5 10 94.62
13 6 0.2 2 10 58.12 28 6 0.8 5 10 94.42
14 6 1.4 2 10 71.80 29 6 0.8 5 10 92.24
15 6 0.2 8 10 56.16            

表3

Eversa Transform 2.0催化RBODD甲酯化回归模型的方差分析"

方差来源 总方差和 自由度 均方 F值 p值 显著性
Model 5 969.24 14 426.37 105.39 < 0.000 1 ***
X1 649.96 1 649.96 160.65 < 0.000 1 ***
X2 607.76 1 607.76 150.22 < 0.000 1 ***
X3 1 453.35 1 1 453.35 359.23 < 0.000 1 ***
X4 204.31 1 204.31 50.50 < 0.000 1 ***
X1 X2 4.67 1 4.67 1.15 0.301 0  
X1 X3 120.45 1 120.45 29.77 < 0.000 1 ***
X1 X4 0.164 0 1 0.164 0 0.040 5 0.843 3  
X2 X3 49.00 1 49.00 12.11 0.003 7 **
X2 X4 75.69 1 75.69 18.71 0.000 7 ***
X3 X4 62.33 1 62.33 15.41 0.001 5 **
X12 791.60 1 791.60 195.66 < 0.000 1  
X22 514.61 1 514.61 127.20 < 0.000 1  
X32 1 880.02 1 1 880.02 464.69 < 0.000 1  
X42 1 250.03 1 1 250.03 308.97 < 0.000 1  
残差 56.64 14 4.05      
失拟项 50.63 10 5.06 3.37 0.126 6  
纯误差 6.01 4 1.50      
总和 6 025.88 28        

图5

各因素交互的响应面图"

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