摘要
为优化蝶豆花色素的最佳提取工艺,以蝶豆花为原料,新型绿色低共熔溶剂作为提取剂,以色素提取液的吸光度值为指标,响应面优化超声辅助提取蝶豆花色素。在单因素实验基础上,选取四因素三水平Box-Behnken实验设计,考查料液比、超声时间、超声温度以及摩尔比对色素提取效果的影响。结果表明,各因素对蝶豆花色素提取效果的影响程度为料液比>摩尔比>超声时间>超声温度,优化所得最优提取参数:溶剂含水率40%,超声时间21 min,超声温度40℃,摩尔比1∶1.2,料液比1∶16 g/mL,可得到最大吸光度值为1.359,与模型预测值1.363接近,说明该模型能较好地预测实验结果。选取低共熔溶剂,采用响应面法优化了蝶豆花色素的提取工艺,为蝶豆花的深加工提供了一定的理论基础。
In order to optimize the best extraction process of butterfly pea flower pigment,butterfly pea flower is used as raw material,a new green deep eutectic solvent is used as extractant,and the absorbance of the pigment extract is taken as an index,and the response surface is optimized for ultrasonic-assisted extraction of butterfly pea flower pigment.Based on the single-factor experiment,a four-factor three-level Box-Behnken experimental design was selected to investigate the influence of the material-to-liquid ratio,ultrasonic time,ultrasonic temperature,and molar ratio on the pigment extraction effect.The results show that the degree of influence of various factors on the extraction effect of butterfly pea flower pigment ranges from large to small ratio of material to liquid>molar ratio>ultrasound time>ultrasound temperature.The optimized extraction parameters are:solvent moisture content 40%,ultrasonic time 21 min,ultrasonic temperature of 40℃,molar ratio of 1∶1.2,material-to-liquid ratio of 1∶16 g/mL,the maximum absorbance value of 1.359 can be obtained,which is close to the model predicted value of 1.363,indicating that the model can better predict the experimental results.In this study,deep eutectic solvents were selected,and response surface methodology was used to optimize the extraction process of butterfly pea flower pigments,which provided a certain theoretical basis for the deep processing of butterfly pea flowers.
作者
赵薇
ZHAO Wei(College of Chemical Engineering,Hengshui University,Hengshui 053000,China)
出处
《安徽化工》
CAS
2022年第5期31-36,40,共7页
Anhui Chemical Industry
基金
2021年度衡水学院校级课题(2021ZR35)
2020年度衡水学院校级课题(2020ZR15)。
关键词
蝶豆花色素
低共熔溶剂
提取
超声波
响应面优化法
butterfly pea pigment
deep eutectic solvents
extraction
ultrasonic
response surface optimization