大学化学 >> 2026, Vol. 41 >> Issue (1): 382-393.doi: 10.12461/PKU.DXHX202506008

所属专题： 化学实验数字化设计竞赛获奖作品

专题 上一篇    下一篇

“数助固本，智慧滴定”——以自热包成分测定为例的配位滴定实验数字化设计

陈佳琪1,2, 陈良1, 魏晓翠1, 王延凯1, 常雅惠1, 姬兴昊1, 杨皓宇1, 孙玥1,2, 王雅文1, 史秀锋1, 吴旭1   

  1. 1 太原理工大学化学与化工学院, 太原 030024;
    2 太原理工大学化学与化工学院基础化学实验中心, 太原 030024
  • 收稿日期:2025-06-03 录用日期:2025-09-09 发布日期:2025-12-30
  • 通讯作者: 吴旭 E-mail:wuxu@tyut.edu.cn Xu Wu
  • 基金资助:
    山西省教学改革项目(J20230158, J20230160, J20240315)

Digital Empowerment for Foundational Excellence: A Digitally Enhanced Coordination Titration Experiment of Heating Pack Component Analysis

Jiaqi Chen1,2, Liang Chen1, Xiaocui Wei1, Yankai Wang1, Yahui Chang1, Xinghao Ji1, Haoyu Yang1, Yue Sun1,2, Yawen Wang1, Xiufeng Shi1, Xu Wu1   

  1. 1 College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan 030024, China;
    2 Experimental Center for Basic Chemistry Education, College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan 030024, China
  • Received:2025-06-03 Accepted:2025-09-09 Published:2025-12-30
  • Contact: Xu Wu E-mail:wuxu@tyut.edu.cn

PDF

230

赞

摘要： 配位滴定是分析化学实验重要的教学单元，广泛应用于金属离子的定量分析中。其中，EDTA作为最常用的滴定剂，pKa分布特性使其能够通过pH调控实现选择性滴定，这一特性在经典教学实验中得到充分体现。市售食品自热包的主要活性组分(CaO与金属Al)构成钙-铝双元体系，通过设计分步滴定方案，可在同一实验中实现两种特征pH条件下(碱性/酸性介质)的配位滴定技术训练，具有较强的实验教学代表性，且有一定的趣味性。本项目以自热包成分测定为例，针对传统实验教学中遇到的问题，设计数字化实验学习系统。该系统在“以学生为中心”的教学理念指导下，将数字化技术与传统滴定实验全过程融合，实现方案设计可行性的实时反馈、滴定过程操作与监测的自动化控制、滴定数据的实时采集与智能分析，以及学生实验全过程的实时考评。此举有效夯实了学生的实验技能，强化了逻辑思维能力、分析判断与解决问题的能力，显著提升了实验教学的实效性。

关键词: 数字化实验学习系统, 机器视觉, 机器学习, 配位滴定, 自热包成分

Abstract: Coordination titration serves as a fundamental teaching module in analytical chemistry laboratories, extensively employed for quantitative metal ion analysis. EDTA, the most widely used titrant, exhibits pKa distribution characteristics that facilitate selective titration through pH modulation—a principle thoroughly demonstrated in classical teaching experiments. Commercial self-heating food packets contain precisely formulated calcium-aluminum binary systems (CaO and metallic Al as primary active components). This study designs a stepwise titration protocol enabling simultaneous training in coordination titration techniques under two characteristic pH conditions (alkaline and acidic media) within a single experiment, combining strong pedagogical representativeness with inherent student engagement. Addressing limitations in conventional teaching methods, we developed a digital experimental learning system through this self-heating pack component analysis case study. Guided by student-centered pedagogy, the system seamlessly integrates digital technologies with traditional titration workflows, featuring: real-time feasibility feedback for experimental design, automated titration operation and monitoring, intelligent real-time data acquisition and analysis, and comprehensive student performance evaluation. This integrated approach significantly strengthens students’ experimental competencies while enhancing logical reasoning, analytical judgment, and problem-solving skills, thereby markedly improving experimental teaching efficacy.

Key words: Digital experimental learning system, Machine vision, Machine learning, Coordination titration, Heating pack components