大学化学 >> 2026, Vol. 41 >> Issue (1): 332-345.doi: 10.12461/PKU.DXHX202505108

所属专题： 化学实验数字化设计竞赛获奖作品

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自动化与AI辅助探究磺基水杨酸的化学反应性

张婧轩, 姜玮豪, 张思远, 田宏业, 黄子烨, 黄林, 吴奇坤, 杨静, 蒋一彬, 汪骋   

  1. 厦门大学化学化工学院, 福建厦门 361005
  • 收稿日期:2025-05-30 录用日期:2025-09-09 发布日期:2025-12-30
  • 通讯作者: 杨静, 汪骋 E-mail:j.yang@xmu.edu.cn;wangchengxmu@xmu.edu.cn Jing Yang, Cheng Wang
  • 基金资助:
    央属高校业务科研费(20720250005)；2024 年福建省高等教育学会高等教育科学研究实验室研究专项课题(24FJSYZD003)；中外化学教育考试比较研究(FJJKKS24-07)

Automation and AI-Assisted Investigation of the Chemical Reactivity of Sulfosalicylic Acid

Jingxuan Zhang, Weihao Jiang, Siyuan Zhang, Hongye Tian, Ziye Huang, Lin Huang, Qikun Wu, Jing Yang, Yibin Jiang, Cheng Wang   

  1. College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, Fujian Province, China
  • Received:2025-05-30 Accepted:2025-09-09 Published:2025-12-30
  • Contact: Jing Yang, Cheng Wang E-mail:j.yang@xmu.edu.cn;wangchengxmu@xmu.edu.cn

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摘要： 随着自动化与人工智能(AI)技术在科研领域的持续迭代，化学实验教学亟需革新以适配现代化学研究范式，助力学生掌握前沿工具与方法。本实验创新性融入自动化设备与基于检索增强生成(RAG)技术构建的AI助教，既展现了化学研究的智能化发展趋势，又实现了学生数据分析能力与实验操作效率的双重提升。实验以磺基水杨酸(HO3SC6H3(OH) CO2H，用H3R表示)为核心研究对象，聚焦两大核心目标：一是测定其二级、三级电离平衡常数(pKa2和pKa3)，二是探究其与铜离子形成配合物的组成及稳定常数。实验过程中，自动化滴定设备与pH计协同工作，精准监测滴定全程pH变化并绘制曲线，同时结合紫外-可见(UV-Vis)光谱完成表征；AI助教支持语音交互答疑，且配套的AI工具可辅助学生快速处理实验数据、精准计算电离平衡常数。针对配合物研究，实验采用等摩尔连续变化法，通过自动化平台精准配制系列比例反应溶液，系统探究配合物的组成规律及稳定性。该实验设计既确保学生扎实掌握酸碱滴定、电离平衡、配位化学等核心知识，又通过沉浸式接触自动化与AI技术，有效培养学生的创新思维与智能技术应用能力，实现了知识传授与能力培养的有机统一。

关键词: AI助教, 化学自动化, 磺基水杨酸, 酸碱滴定, 配位化合物

Abstract: With the growing penetration of automation and artificial intelligence (AI) technologies in scientific research, chemical laboratory education, must keep pace with the times by integrating cutting-edge technologies, enabling students to familiarize themselves with advanced tools and methodologies in modern chemical research. This experiment integrates automated equipment and an AI teaching assistant built on Retrieval-Augmented Generation (RAG) technology, showcasing the intelligent transformation trends of future chemical research while achieving a dual enhancement of students’ data analysis capabilities and experimental efficiency. Focusing on the chemical reactivity of sulfosalicylic acid (HO3SC6H3(OH)CO2H, H3R), the study centers on two core objectives. First, determining its second and third ionization equilibrium constants (pKa2 and pKa3); second, investigating the composition and stability constants of its copper(II) complexes. Automated titration equipment works in synergy with pH meters to accurately monitor pH changes throughout the titration process for curve plotting, while ultraviolet-visible (UV-Vis) spectroscopy provides complementary characterization. The AI teaching assistant supports voice-interactive Q&A to address students’ queries, and the supporting AI tools facilitate rapid experimental data processing and accurate calculation of ionization equilibrium constants. For the investigation of complexes, the experiment adopts the method of continuous variations with equimolar ratios. A series of reaction solutions with varying molar ratios are precisely prepared via an automated platform, enabling systematic exploration of the compositional rules and stability of the complexes formed by H3R and Cu(II). This approach not only ensures students solidly grasp core chemical knowledge, but also effectively cultivates their innovative thinking and intelligent technology application capabilities through immersive exposure to automation and AI systems, realizing the organic integration of knowledge imparting and capability development.

Key words: AI assistant, Chemical automation, Sulfosalicylic acid, Acid-base titration, Coordination complex