摘要
以蟹壳为原料,结合数据挖掘技术,利用箱式图、斯皮尔曼相关性和冗余分析等方法进行统计,选择确定甲壳素脱乙酰过程中的反应条件。在此基础上,为了证明此次基于数据挖掘的壳聚糖提取条件设计的合理性,设计了不同反应条件对壳聚糖脱乙酰度影响的响应面实验。结果表明:最优提取工艺条件为氢氧化钠质量浓度0.5 kg/L、反应温度110℃、反应时间6 h,该条件下脱乙酰度达到89.53%,壳聚糖性能达到商品壳聚糖的要求。实验数据符合数据挖掘的统计结果,可以为研究人员提供参考。
Using crab shells as raw materials,combined with data mining technology,statistical methods such as box plots,Spearman correlation,and redundancy analysis were used to select and determine the reaction conditions during the deacetylation process of chitin.On this basis,in order to demonstrate the rationality of the design of chitosan extraction conditions based on data mining,a response surface experiment was designed to investigate the effect of reaction conditions on the degree of deacetylation of chitosan.The results showed that the optimal extraction process conditions were sodium hydroxide mass concentration of 0.5 kg/L,reaction temperature of 110℃,and reaction time of 6 h.Under these conditions,deacetylation degree reached 89.53%,and the properties of chitosan performance met the requirements of commercial chitosan.The experimental data conformed to the statistical results of data mining,which can provide reference for researchers.
作者
高鑫
曾明
杨宗政
曹井国
GAO Xin;ZENG Ming;YANG Zongzheng;CAO Jingguo(College of Chemical Engineering and Materials Science,Tianjin University of Science&Technology,Tianjin 300457,China;College of Marine and Environmental Sciences,Tianjin University of Science&Technology,Tianjin 300457,China)
出处
《天津科技大学学报》
CAS
2023年第5期30-35,共6页
Journal of Tianjin University of Science & Technology
关键词
蟹壳
壳聚糖
提取
数据挖掘
响应面分析
crab shells
chitosan
extraction
data mining
response surface analysis
