响应面-频数法优化芦荟大黄素提取工艺
目的 采用响应面-频数法优化芦荟大黄素的提取工艺。方法 在单因素的基础上, 选取盐酸浓度、三氯化铁用量、反应时间3个因素, 以芦荟粉为原材料, 通过溶剂法提取分离芦荟苷, 再通过三氯化铁氧化法, 制备芦荟大黄素。采用二次通用旋转组合设计, 以芦荟大黄素含量为评价指标, 建立三因素与指标的回归模型, 最后运用频数法得出最优工艺参数组合。结果 芦荟大黄素的提取的最优工艺参数为: 盐酸浓度3.842～5.052 mol/L、氧化剂加入量21.245～30.695 g、保温时间7.736～8.954 h, 在此工艺条件下提取芦荟大黄素含量大于9.89 mg/L, 产品质量优良达到满意的效果。结论 响应面-频数法可以优化芦荟大黄素的提取工艺。盐酸浓度、氧化剂用量和保温时间对提取芦荟粉中芦荟大黄素的的影响顺序为: 氧化剂用量＞盐酸浓度＞保温时间。
Objective To optimize the extraction process of aloe emodin by response surface frequency methodology. Methods On the basis of single factor, three factors including hydrochloric acid concentration, ferric chloride dosage and reaction time were selected. Aloe vera powder was used as raw material to extract aloin by solvent method, and aloe rhubarb was prepared by ferric chloride oxidation method. A quadratic general rotation combination design was adopted, and the aloe-emodin content was used as the evaluation index to establish a regression model of 3 factors and indicators. Finally, the frequency combination method was used to obtain the optimal combination of process parameters. Results The optimal process parameters for the extraction of aloe-emodin were: hydrochloric acid concentration 3.842~5.052 mol/L, oxidant addition amount 21.245~30.695 g, and holding time 7.736~8.954 h, under which condition, the content of aloe-emodin was more than 9.89 mg/L, and the product quality was satisfactory. Conclusion Response surface frequency methodology can optimize the extraction process of aloe emodin. The order of the influence of hydrochloric acid concentration, oxidant dosage and holding time on the extraction of aloe emodin from aloe powder was as follows: oxidant dosage > hydrochloric acid concentration > holding time.
标题：响应面-频数法优化芦荟大黄素提取工艺
英文标题：Optimization of extraction process of aloe emodin by response surface frequency methodology
作者：
李宝玉 广东农工商职业技术学院热带农林学院
黄静 广州商学院信息技术与工程学院
赵炫 广东农工商职业技术学院热带农林学院
许艺苹 广东农工商职业技术学院热带农林学院
陈静慧 广州合诚实业有限公司
中文关键词:芦荟大黄素,三氯化铁氧化法,响应面-频数法,紫外可见分光光度法,
英文关键词:aloe emodin,ferric chloride oxidation,response surface frequency methodology,ultraviolet and visible spectrophotometry,
发表日期：2018-12-05
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