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Method of Correlation Coefficient Optimization Used in UV-vis Spectrophotometric Analysis for Effluent in Catalytic Ozonation

机译:UV-Vis分光光度分析在催化臭氧化合物流出物中使用的相关系数优化方法

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摘要

A wavelength selection method for spectrophotometric analysis, named correlation coefficient optimization (CCO), was employed for reagent-free analysis of organics (humic acid) in real sewage. The modeling set of CCO uses the effluent in the ozonation process of humic acid (HA) solution. In order to verify the relationship between HA concentration and absorbance at the selected wavelength, HA solutions with different mass concentrations were prepared as a validation set. The study showed that the absorbance at 300 nm could be a good quantitative indication of HA concentration. In addition, the absorbance at 300 nm was applied to analyze the HA concentration in the ozonation process. The decomposition of HA fits the pseudo-first-order kinetic model and has a linear relationship with pH and (T - 20)(2) (T is reaction temperature).
机译:用于分光光度分析的波长选择方法,命名相关系数优化(CCO)用于实际污水中有机物(腐殖酸)的无试剂分析。 CCO建模集使用腐殖酸(HA)溶液的臭氧处理过程中的流出物。 为了验证所选波长的HA浓度和吸光度之间的关系,制备具有不同质量浓度的HA溶液作为验证组。 该研究表明,300nm的吸光度可能是HA浓度的良好定量指示。 另外,应用300nm的吸光度分析臭氧化过程中的HA浓度。 HA的分解适用于伪一阶动力学模型,与pH和(T - 20)(2)(2)(T是反应温度)的线性关系。

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