摘要
新制氢氧化铜与葡萄糖的反应是一个操作简单、现象明显的检验葡萄糖的实验,但在实际操作时会出现实验现象不理想的情况。为了得到最佳实验效果,通过对新制氢氧化铜与葡萄糖的反应进行正交试验设计,以氢氧化钠浓度,葡萄糖浓度,硫酸铜浓度3个因素为变量,设计三因素五水平实验,以反应过程中溶液的变色情况和反应后的沉淀情况作为评判标准,探究新制氢氧化铜与葡萄糖反应的主要影响因素及最佳实验条件。最终得到新制氢氧化铜和葡萄糖的反应的主要影响因素为:葡萄糖浓度>氢氧化钠浓度>硫酸铜浓度;取得最佳实验效果的实验条件为:25%浓度的氢氧化钠2mL,6%浓度的硫酸铜5滴,3.5%浓度的葡萄糖3滴。
The reaction of freshly prepared copper hydroxide with glucose is a simple and obvious experiment to test glucose, but the experimental phenomenon may be unsatisfactory in practice. In order to obtain the best experimental effect that the discoloration of the solution during the reaction is blue-light blue-brick red and the precipitation situation presents brick red, the reaction of freshly prepared copper hydroxide with glucose was designed by an orthogonal experiment with three factors, sodium hydroxide concentration, glucose concentration and copper sulfate concentration as variables, and a three-factor fivelevel The main influencing factors and the best experimental conditions of the reaction between the newly prepared copper hydroxide and glucose were investigated by using the discoloration of the solution during the reaction and the precipitation after the reaction as the judging criteria. The main influencing factors of the reaction between freshly prepared copper hydroxide and glucose were finally obtained as follows: glucose concentration > sodium hydroxide concentration > copper sulfate concentration;the experimental conditions to obtain the best experimental results were: 25% concentration of sodium hydroxide 2 mL, 6% concentration of copper sulfate 5 drops, 3.5% concentration of glucose 3 drops.
作者
潘振蓓
张超
李雨甜
张小兰
余焕焕
李燕红
叶青
Pan Zhen-bei;Zhang Chao;Li Yu-tian;Zhang Xiao-lan;Yu Huan-huan;Li Yan-hong;Ye Qing(Shangrao Normal College,Shangrao Jiangxi 334001,China;Wuxi Guanghua School,Wuxi Jiangsu 214000,China)
出处
《江西化工》
2023年第1期64-70,共7页
Jiangxi Chemical Industry
基金
上饶师范学院校级课题,项目名称“基于实验教学能力开发的中学教师实践能力培养研究”(课题编号JCJY202104)
江西省基础教育研究课题,项目名称“新课程背景下高中化学学科质量标准评价研究”(课题编号:SZUSYHXZD2021-962)。
关键词
葡萄糖的检验
正交试验设计
最佳条件
Glucose test
Orthogonal experimental design
Optimal conditions
