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2-氨基-1,3,4-噻二唑合成新工艺及优化
引用本文:刘玉婷,梁钢涛,尹大伟.2-氨基-1,3,4-噻二唑合成新工艺及优化[J].西北轻工业学院学报,2014(2):60-63,73.
作者姓名:刘玉婷  梁钢涛  尹大伟
作者单位:陕西科技大学化学与化工学院教育部轻化工助剂化学与技术重点实验室,陕西西安710021
基金项目:陕西省科技厅自然科学基础研究计划项目(2009JZ002);陕西省轻化工助剂化学与技术重点实验窒项目(13J017)
摘    要:甲酸与硫代氨基脲以催化活性较高的氢溴酸催化剂合成了2-氨基-1,3,4-噻二唑,并通过响应曲面法对催化剂的投加量、反应温度、反应时间等因素进行了优化及分析,得出了2-氨基-1,3,4-噻二唑合成的最佳工艺条件:甲酸与硫代氨基脲的摩尔比为1.2∶1,氢溴酸20mL(硫代氨基脲为0.022mol),反应时间为4.6h,反应温度为104℃,产率为74.44%.将得到的最佳工艺条件应用于乙酸、丙酸、正丁酸、正戊酸、氯乙酸等与硫代氨基脲合成2-氨基-1,3,4-噻二唑的反应中同样获得了较高产率,产率分别为70.08%,78.72%,78.72%,66.77%,72.11%.

关 键 词:-氨基-  -噻二唑  硫代氨基脲  响应曲面法  工艺优化

Optimization of new technology for preparation of 2-amino-1,3,4-thiadiazole
LIU Yu-ting,LIANG Gang-tao,YIN Da-wei.Optimization of new technology for preparation of 2-amino-1,3,4-thiadiazole[J].Journal of Northwest University of Light Industry,2014(2):60-63,73.
Authors:LIU Yu-ting  LIANG Gang-tao  YIN Da-wei
Affiliation:(College of Chemistry and Chemical Engineering, Key Laboratory of Auxiliary Chemistry and Technology for Chemical Industry, Ministry of Education, Shaanxi University of Science & Technology, Xi'an 710021, Chi na)
Abstract:2-amino-1 ,3 ,4-thiadiazole was prepared by fortic acid with thiosemicarbazide in the presence of hydrobromic acid with higher catalytic activity ,and the process was optimized perfectly through the analysis of catalyst dosage ,reaction temperature and reaction time by response surface methodology .The target compound synthesis of the best process as follows :the molar ratio of fortic acid and thiosemicarbazide is 1 .2∶1 ,and hydrobromic acid dosage of 20 mL (thiosemicarbazide was 0 .022 mol) ,the reaction time 4 .6 h ,the reaction tempera-ture is 104 ℃ ,under the optimal conditions ,the yield was 74 .44% .Synthesis of other 2-a-mino-1 ,3 ,4-thiadiazole by acetic acid ,propionic acid ,n-butyric acid ,n-valeric acid ,chloro-acetic acid with thiosemicarbazide afforded higher yield under this optimal conditions ,the yield w as 70 .08% ,78 .72% ,78 .72% ,66 .77% ,72 .11% respectively .
Keywords:2-amino-1  3  4-thiadiazole  thiosemicarbazide  response surface methodology  process optimization
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