线性扫描伏安法
化学需氧量
生物系统
伏安法
主成分分析
多电极阵列
循环伏安法
电化学
化学
重铬酸钾
氧气
工艺工程
恒电位仪
萃取(化学)
Lasso(编程语言)
计算机科学
线性回归
分析化学(期刊)
生化需氧量
铁氰化钾
材料科学
准确度和精密度
微电极
钾
环境科学
作者
Yunlong Shi,Ying Liu,Xiongmin Cao,Guodong Jiang,Jian Gao,Xinyue Jiang
摘要
The rapid and reliable determination of chemical oxygen demand (COD) is critical for effective water quality management. This study developed a reagent‐free multielectrode sensing system using complementary electrochemical responses for COD determination. The system integrated Pt, Au, C/CuO x , Co(OH) 2 and Zr(OH) 4 electrodes, each providing distinct surface and catalytic properties for broad‐spectrum detection of carbohydrates, nitrogen‐containing compounds, and alcohols. Linear sweep voltammetry (LSV) with principal component analysis confirmed unique electrochemical fingerprints for each compound class. Feature extraction via LASSO regression and modeling with XGBoost enabled accurate COD prediction in simulated and real water samples, yielding test‐set average percentage relative errors of 5.12% and 6.31%, respectively. Results correlated well with the standard potassium dichromate method (APRE = 7.48%, p > 0.05). This approach offered a rapid, eco‐friendly alternative for COD monitoring and demonstrates potential for dissolved organic matter (DOM) analysis and source tracking.
科研通智能强力驱动
Strongly Powered by AbleSci AI