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首页> 外文期刊>Journal of Hazardous Materials >Multivariate analysis of anionic, cationic and nonionic textile surfactant degradation with the H_2O_2/UV-C process by using the capabilities of response surface methodology
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Multivariate analysis of anionic, cationic and nonionic textile surfactant degradation with the H_2O_2/UV-C process by using the capabilities of response surface methodology

机译：H_2O_2 / UV-C工艺通过响应面方法的能力对阴离子，阳离子和非离子纺织品表面活性剂降解进行多变量分析

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摘要

Anionic, cationic and nonionic surfactants being frequently employed in the textile preparation process were subjected to H2O2/UV-C treatment. As a consequence of the considerable number of parameters affecting the H_2O_2/UV-C process, an experimental design methodology was used to mathematically describe and optimize the single and combined influences of the critical process variables treatment time, initial H_2O_2 concentration and chemical oxygen demand (COD) on parent pollutant (surfactant) as well as organic carbon (COD and total organic carbon (TOC)) removal efficiencies. Multivariate analysis was based on two different photochemical treatment targets; (I) full oxidation/complete treatment of the surfactants or, alternatively, (ii) partial oxidation/pretreatment of the surfactants to comply with the legislative discharge requirements. According to the established polynomial regression models, the process independent variables "treatment time" (exerting a positive effect) and "initial COD content" (exerting a negative effect) played more significant roles in surfactant photodegradation than the process variable "initial H_2O_2 concentration" under the studied experimental conditions.
机译：纺织品制备过程中经常使用的阴离子，阳离子和非离子表面活性剂经过H2O2 / UV-C处理。由于大量参数会影响H_2O_2 / UV-C工艺，因此采用了一种实验设计方法来数学描述和优化关键工艺变量处理时间，初始H_2O_2浓度和化学需氧量的单一和综合影响（ COD）对母体污染物（表面活性剂）以及有机碳（COD和总有机碳（TOC））的去除效率。多变量分析基于两个不同的光化学处理目标； （I）对表面活性剂进行完全氧化/完全处理，或者（ii）对表面活性剂进行部分氧化/预处理，以符合法律规定的排放要求。根据已建立的多项式回归模型，与过程变量“初始H_2O_2浓度”相比，过程自变量“处理时间”（产生正效应）和“初始COD含量”（产生负效应）在表面活性剂光降解中的作用更大。在研究的实验条件下。

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