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Evaluation of trichloroethylene degradation by starch supported Fe/Ni nanoparticles via response surface methodology

机译:通过响应面法评估淀粉负载的Fe / Ni纳米颗粒对三氯乙烯的降解

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In this study, degradation of trichloroethylene (TCE), a chlorinated hydrocarbon, using starch supported Fe/Ni nanoparticles was investigated. The scanning electron microscope images showed applying water soluble starch as a stabilizer for the Fe/Ni nanoparticles tended to reduce agglomeration and discrete particle. Also the mean particle diameter reduced from about 70 nm (unsupported Fe/Ni nanoparticle) to about 30 nm. Effects of three key independent operating parameters including initial TCE concentration (10.0-300.0 mg L-1), initial pH (4.00-10.00) and Fe-0 dosage (0.10-2.00) g L-1 on TCE dechlorination efficiency in 1 hour were analysed by employing response surface methodology (RSM). Based on a five-level three-factor central composite design, TCE removal efficiency was examined and optimized. The obtained RSM model fitted the experimental data to a second order polynomial equation. The optimum dechlorination conditions at initial TCE concentration 100.0 mgL(-1) were initial pH 5.77, Fe-0 dosage 1.67 g L-1. At these conditions TCE removal concentration reached 94.87%, which is in close acceptance with predicted value by the RSM model.
机译:在这项研究中,研究了使用淀粉负载的Fe / Ni纳米粒子降解三氯乙烯(TCE)(一种氯化烃)的方法。扫描电子显微镜图像显示,将水溶性淀粉用作稳定剂用于Fe / Ni纳米颗粒,倾向于减少团聚和离散颗粒。同样,平均粒径也从约70 nm(未负载的Fe / Ni纳米颗粒)降至约30 nm。 TCE初始浓度(10.0-300.0 mg L-1),初始pH(4.00-10.00)和Fe-0剂量(0.10-2.00)g L-1这三个关键的独立操作参数对1小时内TCE脱氯效率的影响是采用响应面方法(RSM)进行分析。基于五级三因素中心复合材料设计,对三氯乙烯的去除效率进行了检查和优化。获得的RSM模型将实验数据拟合到二阶多项式方程。初始TCE浓度为100.0 mgL(-1)时的最佳脱氯条件为初始pH 5.77,Fe-0剂量为1.67 g L-1。在这些条件下,TCE去除浓度达到94.87%,这与RSM模型的预测值非常接近。

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