Department of Analytical Chemistry, Faculty of Chemistry, Razi University, Kermanshah, Iran; Research Group of Design and Fabrication of Kit, Razi University, Kermanshah, Iran.
Department of Analytical Chemistry, Faculty of Chemistry, Razi University, Kermanshah, Iran.
Talanta. 2020 Nov 1;219:121297. doi: 10.1016/j.talanta.2020.121297. Epub 2020 Jun 20.
Herein a semi-quantitative and quantitative method for rapid determination of water hardness was introduced. The method was based on color change of silver nanoparticles (AgNPs) in the presence of real water samples. Carbon dots were prepared from mulberry in a hydrothermal procedure and used as reductant of silver ion for synthesis of AgNPs. A classification method based on the color change of AgNPs in the presence of different water samples was also founded. The analysis based of the proposed method was cheap and rapid. On site semi-quantitative determination of total hardness of water can be performed by the proposed method. A linear calibration model based on the color analysis of the images of AgNPs in the presence of water samples was constructed. The model was applicable for determination of total hardness of water in the range of 116-248 mg L of calcium carbonate. A variety of real water samples were included in the calibration model. The calibration method can be used to predict total hardness of water in a critical range above the soft water and below the very hard water. The results were compared by the standard titrimetric method based on ethylenediaminetetraacetic acid. Prediction of total hardness of real water samples based on the color model was in most cases below 20%.
本文提出了一种快速测定水硬度的半定量和定量方法。该方法基于实际水样存在时银纳米粒子（AgNPs）的颜色变化。碳点是通过水热法从桑椹中制备的，并用作银离子的还原剂，用于合成 AgNPs。还建立了一种基于不同水样存在时 AgNPs 颜色变化的分类方法。所提出方法的分析既便宜又快速。可通过该方法对水样的总硬度进行现场半定量测定。基于水样中存在的 AgNPs 图像的颜色分析构建了线性校准模型。该模型适用于测定碳酸钙浓度在 116-248 mg/L 范围内的水的总硬度。校准模型中包含了多种实际水样。该校准方法可用于预测软水区和极硬水区之间关键范围内的水总硬度。结果与基于乙二胺四乙酸的标准滴定法进行了比较。基于颜色模型预测实际水样的总硬度，在大多数情况下低于 20%。
