大学化学2026，Vol.41Issue(5)：36-49,14.DOI:10.12461/PKU.DXHX202511137
铁配合物合成与性质探究的数智化改进
摘要
Abstract
This study addresses several technical limitations in the"Basic Chemistry Experiment"involving the determination of iron(III)sulfosalicylate complex,including background absorbance interference,inability to identify coordination ratios(n)in unknown systems,and low experimental throughput(measuring only one ligand per experiment).Methodologically,we developed a system of equations incorporating absorbance data from all components,effectively eliminating background interference and increasing ligand measurement capacity from 1 to 11 per experiment.Analytically,we implemented machine learning algorithms to construct a stability constant prediction model,facilitating determination of coordination ratios(n).The model was validated using UV-Vis spectral data,with feature importance analysis revealing key coordination factors,thereby providing empirical support for coordination field theory instruction.Pedagogically,we established an intelligent teaching platform to reduce technical barriers in digital implementation,promoting wider adoption of these improved methods.The enhanced protocol maintains analytical precision while significantly improving throughput and applicability.This inquiry-based approach effectively develops students'data analysis skills and problem-solving capabilities for complex chemical challenges.关键词
数智化/化学实验/改进创新/铁配合物Key words
Digitalization and intelligence/Chemical experiment/Improvement and innovation/Iron complex分类
社会科学引用本文复制引用
王思寒,马晶,余晨曦,冉术彰,陈家伟,饶守佟,梁昕旖,董睿祺,曾桂香,王国强..铁配合物合成与性质探究的数智化改进[J].大学化学,2026,41(5):36-49,14.基金项目
教育部基础学科和交叉学科突破计划(JYB2025XDXM309) （JYB2025XDXM309）
南京大学本科教育教学改革课题(0205-145011) （0205-145011）
