Tetracycline removal using NaIO4 activated by MnSO4: design and optimization via response surface methodology

Jingyi Yang, Yanjiao Gao, Tiehong Song, Jian Ye, Lihong Zhao, Rui Su
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Abstract

The appearance of recalcitrant organic pollutants such as antibiotics in water bodies has gained a lot of attention owing to their adverse effects on organisms and humans. The current study aims to develop a novel approach to eliminate antibiotic tetracycline (TC) from a synthetic aqueous solution based on the advanced oxidation process triggered by MnSO4-catalyzed NaIO4. Single-factor experiment was performed to observe the impact of pH, NaIO4 concentration, and MnSO4 dosage on TC decomposition, and a three-factor, three-level response surface experiment with TC removal rate as the dependent variable was designed based on the range of factors determined from the single-factor experiment. The single-factor experiment revealed that the ranges of pH, NaIO4 concentration, and MnSO4 dosage need to be further optimized. ANOVA (analysis of variance) results showed that the data from the response surface experiment were consistent with the quadratic model with high R2 (0.9909), and the predicted values were very close to the actual values. After optimization by response surface methodology, the optimal condition obtained was pH = 6.7, [NaIO4] = 0.39 mM, and [MnSO4] = 0.12 mM, corresponding to a TC removal of 96.56%. This optimization condition was fully considered to save the dosage of the high-priced chemical NaIO4.
利用 MnSO4 活化 NaIO4 去除四环素:通过响应面方法进行设计和优化
由于抗生素等难降解有机污染物对生物和人类的不利影响,它们在水体中的出现引起了广泛关注。本研究旨在开发一种新方法,基于 MnSO4 催化 NaIO4 引发的高级氧化过程,消除合成水溶液中的抗生素四环素(TC)。单因素实验观察了 pH 值、NaIO4 浓度和 MnSO4 用量对 TC 分解的影响,并根据单因素实验确定的因素范围设计了以 TC 去除率为因变量的三因素三水平响应面实验。单因素实验表明,pH 值、NaIO4 浓度和 MnSO4 用量的范围需要进一步优化。方差分析(ANOVA)结果表明,响应面实验的数据与二次方模型一致,R2(0.9909)较高,预测值与实际值非常接近。经过响应面法优化,得到的最佳条件为 pH = 6.7,[NaIO4] = 0.39 mM,[MnSO4] = 0.12 mM,对应的 TC 去除率为 96.56%。这一优化条件充分考虑了节省高价化学品 NaIO4 的用量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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