Citation: Jingxuan Zhang, Weihao Jiang, Siyuan Zhang, Hongye Tian, Ziye Huang, Lin Huang, Qikun Wu, Jing Yang, Yibin Jiang, Cheng Wang. Automation and AI-Assisted Investigation of the Chemical Reactivity of Sulfosalicylic Acid[J]. University Chemistry, ;2026, 41(1): 332-345. doi: 10.12461/PKU.DXHX202505108 shu

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

College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, Fujian Province, China

Corresponding author: Jing Yang, Cheng Wang,
Received Date: 30 May 2025
Revised Date: 9 September 2025

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 (pK_a₂ and pK_a₃); 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.
- AI assistant,
- Chemical automation,
- Sulfosalicylic acid,
- Acid-base titration,
- Coordination complex
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