摘要
数字化实验因数据采集方便、可视化及智能化等优点适用于化学实验教学。间接碘量法测铜含量需准确判别滴定至浅黄色加淀粉指示剂、滴定至浅蓝色加KSCN和滴定终点米白色这三处关键颜色。通过大量实验建立数据库,明确关键颜色HSV(色调-饱和度-明度)阈值,开发辅助滴定App。数字化设计后相对平均偏差为0.11%,较人眼观察提高了实验精密度,激发学生多学科交叉兴趣。
Digital experimentation proves advantageous for chemical education due to its capabilities in convenient data acquisition,visualization,and intelligent processing.The indirect iodometric determination of copper content requires precise identification of three critical color transitions:the light yellow endpoint after adding starch indicator,the light blue transition after KSCN addition,and the final off-white titration endpoint.Through extensive experimentation,we established a comprehensive database to determine HSV(Hue-Saturation-Value)color thresholds for these key transitions and developed a supporting titration application.The digitally enhanced method demonstrated a relative average deviation of 0.11%,significantly improving measurement precision compared to visual observation while stimulating students’interdisciplinary research interests.
作者
朱天容
余凡
刘宇航
徐海义
马婷婷
李铭
薛宇航
王亚珍
李艾华
肖标
彭晓伦
Tianrong Zhu;Fan Yu;Yuhang Liu;Haiyi Xu;Tingting Ma;Ming Li;Yuhang Xue;Yazhen Wang;Aihua Li;Biao Xiao;Xiaolun Peng(School of Optoelectronic Materials and Technology,Jianghan University,Wuhan 430056,China)
出处
《大学化学》
2026年第1期264-275,共12页
University Chemistry
基金
江汉大学本科教研项目“新工科”背景下柔性电子学专业课程体系建设研究(2024YB015)
江汉大学“新工科”背景下分析化学课程思政教学探索与实践(KCSZ2416)
2024年教育部“中西部高等学校青年骨干教师国内访问学者项目”
湖北省大学生创新创业项目(S202411072099)。
关键词
间接碘量法
铜含量
HSV颜色识别
实验数字化
Indirect iodometric method
Copper content
HSV color recognition
Experiment digitization
