氨
铜
化学
傅里叶变换红外光谱
水溶液中的金属离子
检出限
金属
光谱学
分析化学(期刊)
主成分回归
紫外可见光谱
分解
主成分分析
无机化学
色谱法
化学工程
有机化学
物理
工程类
人工智能
量子力学
计算机科学
作者
Zhigong Liu,Xing Wu,Tianyu Gao,Meng Zhang,Xiaobo Min,Wei Chen,Chong‐Jian Tang
标识
DOI:10.1016/j.cej.2024.148692
摘要
Ammonia can form stable chemical complexes with heavy metal ions, which significantly affect the treatment efficiency of these wastewaters. Thus, accurately determining the concentration of heavy metal ammonia complex ions is crucial to understanding the complex decomposition mechanism. The current study predicted the composition of copper ammonia solution through thermodynamic calculations. The mid-infrared first derivative spectra obtained from density functional theory (DFT) calculation and measurements of the simulated solutions were compared, which indicated that [Cu(NH3)4]2+ was the primary form of complexes in solution. The acquired FTIR spectra and UV–vis spectra demonstrated a strong correlation with the [Cu(NH3)4]2+ concentrations; whereas a principal component regression (PCR) model was implemented for concentration computation. The UV–vis-PCR model was found to be a fast and accurate method for quantification of copper-ammonia complex concentration, and its detection limit and quantification limit could reach 5 mg·L−1 and 10 mg·L−1, respectively, in the 5–200 mg·L−1 range. This study established qualitative and quantitative methods for analyzing copper ammonia complex in water, which provided the feasibility for rapid real-time monitoring of copper ammonia complex.
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