大学化学 >> 2026, Vol. 41 >> Issue (1): 264-275.doi: 10.12461/PKU.DXHX202503096

所属专题： 化学实验数字化设计竞赛获奖作品

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智识智绘，碘量铜真——基于颜色识别间接碘量法测铜

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   

  1. 江汉大学光电材料与技术学院, 武汉, 430056
  • 收稿日期:2025-03-26 录用日期:2025-10-29 发布日期:2025-12-30
  • 通讯作者: 朱天容, 余凡 E-mail:zhutianong1984@126.com;yufan0714@163.com Tianrong Zhu, Fan Yu
  • 基金资助:
    ：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)

Intelligent Visualization, Precise Iodometry: Color Recognition-based Indirect Iodometric Method for Copper Determination

Tianrong Zhu, Fan Yu, Yuhang Liu, Haiyi Xu, Tingting Ma, Ming Li, Yuhang Xue, Yazhen Wang, Aihua Li, Biao Xiao, Xiaolun Peng   

  1. School of Optoelectronic Materials and Technology, Jianghan University, Wuhan 430056, China
  • Received:2025-03-26 Accepted:2025-10-29 Published:2025-12-30
  • Contact: Tianrong Zhu, Fan Yu E-mail:zhutianong1984@126.com;yufan0714@163.com

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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。

关键词: 间接碘量法, 铜含量, HSV颜色识别, 实验数字化

Abstract: 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.

Key words: Indirect iodometric method, Copper content, HSV color recognition, Experiment digitization