大学化学2026，Vol.41Issue(1)：107-113,7.DOI:10.12461/PKU.DXHX202506020
颜色识别式人工智能融入混合碱滴定实验的应用
Application of Color-Discriminable Artificial Intelligence into Mixed Alkali Titration Experiments
摘要
Abstract
Conventional mixed alkali titration analysis suffers from subjective endpoint determination at the first equivalence point and significant variability in triplicate measurements.This study employs Color-Discriminable Artificial Intelligence(CDAI)for endpoint detection,combining precise hardware control with intelligent algorithms to establish an objective,quantifiable dynamic color discrimination model for phenolphthalein and methyl orange indicators.The developed system effectively resolves endpoint determination challenges and improves measurement reproducibility.This work demonstrates an innovative intelligent titration methodology,offering a scalable solution for the digital transformation of chemical laboratory education.关键词
混合碱/滴定/Python/人工智能/颜色识别Key words
Mixed Alkali/Titration/Python/Artificial Intelligence/Color-discrimination分类
社会科学引用本文复制引用
王月娇,毛全兴,崔俊硕,冯小庚,常晓红,娄振宁,熊英..颜色识别式人工智能融入混合碱滴定实验的应用[J].大学化学,2026,41(1):107-113,7.基金项目
辽宁省科学技术计划项目(2025-BS-0293) （2025-BS-0293）
