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Dechlorination of Hexachlorobenzene in Contaminated Soils Using a Nanometallic Al/CaO Dispersion Mixture: Optimization through Response Surface Methodology

机译:使用纳米金属Al / CaO分散混合物脱氯苯磺中的六氯苯脱氯:通过反应表面方法优化

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摘要

Hexachlorobenzene (HCB) contamination of soils remains a significant environmental challenge all over the world. Reductive stabilization is a developing technology that can decompose the HCB with a dechlorination process. A nanometallic Al/CaO (n-Al/CaO) dispersion mixture was developed utilizing ball-milling technology in this study. The dechlorination efficiency of HCB in contaminated soils by the n-Al/CaO grinding treatment was evaluated. Response surface methodology (RSM) was employed to investigate the effects of three variables (soil moisture content, n-Al/CaO dosage and grinding time) and the interactions between these variables under the Box-Behnken Design (BBD). A high regression coefficient value (R2 = 0.9807) and low p value (<0.0001) of the quadratic model indicated that the model was accurate in predicting the experimental results. The optimal soil moisture content, n-Al/CaO dosage, and grinding time were found to be 7% (m/m), 17.7% (m/m), and 24 h, respectively, in the experimental ranges and levels. Under optimal conditions, the dechlorination efficiency was 80%. The intermediate product analysis indicated that dechlorination was the process by stepwise loss of chloride atoms. The main pathway observed within 24 h was HCB → pentachlorobenzene (PeCB) → 1,2,3,4-tetrachlorobenzene (TeCB) and 1,2,4,5-TeCB. The results indicated that the moderate soil moisture content was crucial for the hydrodechlorination of HCB. A probable mechanism was proposed wherein water acted like a hydrogen donor and promoted the hydrodechlorination process. The potential application of n-Al/CaO is an environmentally-friendly and cost-effective option for decontamination of HCB-contaminated soils.
机译:六氯苯(HCB)土壤污染仍然是世界各地的重大环境挑战。还原稳定性是一种显影技术,可以用脱氯过程分解HCB。在本研究中利用球磨技术开发纳米金属Al / CaO(N-Al / CaO)分散体混合物。评价了N-Al / CaO研磨处理中污染土壤中HCB的脱氯效率。使用响应面方法(RSM)来研究三个变量(土壤水分含量,N-Al / CaO剂量和研磨时间)的影响以及这些变量在箱形设计(BBD)下这些变量之间的相互作用。高回归系数值(R2 = 0.9807)和二次模型的低P值(<0.0001)表明该模型在预测实验结果方面是准确的。在实验范围和水平中,发现最佳土壤水分含量,N-Al / CaO剂量和研磨时间分别为7%(m / m),17.7%(m / m)和24小时。在最佳条件下,脱氯效率为80%。中间产物分析表明,脱氯是通过逐步丧失氯化物原子的方法。在24小时内观察到的主要途径是HCB→五氯苯(PECB)→1,2,3,4-四氯苯(TECB)和1,2,4,5-Tecb。结果表明,中等土壤水分含量对HCB的水解氯化物至关重要。提出了一种可能的机理,其中水用作氢供体并促进了水二聚氯化物方法。 N-Al / CaO的潜在应用是一种环保且经济效益的选择,可用于净化HCB污染的土壤。

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