Li Zhe, Huang Shunhao, Chen Juan
College of Information Science and Technology, Beijing University of Chemical Technology Beijing 100029 PR China
RSC Adv. 2019 Oct 24;9(59):34196-34206. doi: 10.1039/c9ra06609h. eCollection 2019 Oct 23.
Chlorine is a common natural water disinfectant, but it reacts with ammonia's nitrogen to form chloramines, which affects the accuracy of free chlorine measurement. In this case, total chlorine can be used as an indicator to evaluate the content of the effective disinfectant. In this article, a novel method to detect total chlorine using an electrode array in water has been proposed. We made the total chlorine sensor and captured the cyclic voltammetry curve of the electrode at different concentrations of chlorine ammonia. Principal component analysis and a peak sampling method were used to extract cyclic voltammetry curves, and the total chlorine prediction model was established by support the vector machine and extreme learning machine. The results show that the best predicting power was achieved by support vector regression with principal component analysis ( = 0.9689). This study provides a simple method for determining total chlorine under certain conditions and likely can be adapted to monitor disinfection and water treatment processes as well.
氯是一种常见的天然水消毒剂，但它会与氨中的氮发生反应形成氯胺，这会影响游离氯测量的准确性。在这种情况下，总氯可作为评估有效消毒剂含量的指标。本文提出了一种利用水中电极阵列检测总氯的新方法。我们制作了总氯传感器，并采集了电极在不同浓度氯氨下的循环伏安曲线。采用主成分分析和峰值采样方法提取循环伏安曲线，并通过支持向量机和极限学习机建立了总氯预测模型。结果表明，主成分分析支持向量回归法具有最佳的预测能力（ = 0.9689）。本研究提供了一种在特定条件下测定总氯的简单方法，并且很可能适用于监测消毒和水处理过程。
