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日用化学工业:2017,Vol.>>Issue(5):257-262
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剑麻皂苷的萃取与絮凝工艺优化研究
李祥,蔺旺梅,李华锋,黄尚顺
(陕西科技大学 化学与化工学院,陕西 西安 710021)
Enrichment of sisal saponin from sisal waste liquor by surfactant solution extraction and flocculation
LI Xiang,LIN Wang-mei,LI Hua-feng,HUANG Shang-shun
(College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi’an, Shaanxi 710021, China)
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投稿时间:2017-01-11    
中文摘要: 以剑麻膏为原料,考察了表面活性剂的种类及浓度、料液比、超声功率、萃取时间、萃取次数和浸泡时间对剑麻皂苷萃取的影响。确定较佳萃取条件为:十二烷基硫酸钠浓度0.025 8 mol/L,料液比1∶10 (g∶mL),超声功率120 W,萃取时间40 min,萃取次数3次,浸泡时间4 h。同时考察了絮凝剂的种类及添加量、絮凝温度和复合絮凝剂对剑麻皂苷富集的影响。确定较佳絮凝条件为:100 mL剑麻皂苷萃取液中先加20 mL 1%聚合氯化铝,再加2 mL 0.1%阳离子聚丙烯酰胺的复合絮凝剂,絮凝温度50 ℃。在较佳的萃取和絮凝条件下对所得絮凝物进行水解,结果显示,该工艺得到的剑麻皂素的量比传统工艺提高了15.5%,每生产1 g剑麻皂素酸用量减少了81.2%,COD排放量减少了96.5%。
中文关键词: 表面活性剂  萃取  絮凝  剑麻皂素
Abstract:In the process for preparation of sisal fiber, waste liquor that containing sisal saponin is by-produced. In order to make use of the saponin, enrichment process is to be performed. Traditional enrichment process was based upon extraction with an organic solvent. A new approach using a surfactant was tested via a series of experiment. Suitable process conditions were obtained as follows: extracting agent, sodium lauryl sulfate with concentration of 0.025 8 mol/L; ratio of starting material to extracting agent, 1∶10 (g∶mL); pre-soaking time, 4 h; ultrasonic power, 120 W; extraction time, 40 min for three times. The extract was further processed for enrichment of the sisal saponin in 100 mL extract under conditions as: temperature, 50 ℃; adding 20 mL of 1% aluminum chloride polymer, followed by adding 2 mL of 0.1% cationic polyacrylamide. Under the above mentioned conditions of extraction and flocculation, the flocculated material was hydrolyzed by sulfuric acid. Results show that as comparing with the traditional process, the new approach can increase the product yield for 15.5%, decrease 81.2% of acid consumption and 96.5% of COD discharge per 1 g sisal saponin.
文章编号:     中图分类号:TQ423    文献标志码:
基金项目:陕西省科技攻关项目(2016SF-437);未央区科技项目(201411);广西科学基金资助项目(2011GXNSFA018047,2015GXNSFBA139036,桂科AB16380113,桂科转1599002-6) 陕西省科技攻关项目(2016SF-437);未央区科技项目(201411);广西科学基金资助项目(2011GXNSFA018047,2015GXNSFBA139036,桂科AB16380113,桂科转1599002-6)
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