新型P-ZrO2CeO2ZnO纳米颗粒/海藻酸盐微珠固相萃取富集砷和铬的影响因素及相互作用评价

Nichodimus Hokonya, C. Mahamadi, N. Muchanyereyi, Timothy Gutu
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引用次数: 0

摘要

该研究旨在利用新型P-ZrO2CeO2ZnO纳米颗粒/海藻酸盐珠确定影响砷和铬富集的最重要因素,以尽量减少成功运行实验所需的总运行次数。并对各因素间相互作用的影响进行了评价,以确定不受其他因素影响的最佳实验条件。采用半因子设计筛选影响砷和铬富集的最显著因素,采用全因子设计优化显著因素,采用方差分析和交互作用图确定各因素之间的交互作用。对铬的回收率影响最大的因素是样品体积、洗脱液流速和吸附剂用量。对于铬和砷的回收,样品体积、剂量和pH之间存在相互作用。实验选择的最佳条件是样品体积5 mL,剂量40 mg, pH = 7,洗脱液流速1 mL/min,这两种金属离子都得到了有利的结果。本研究表明,对砷和铬富集最显著因素的初步筛选步骤有助于减少总运行次数,并且在相同的实验中,因素之间存在相互作用;因此,在实验设计中有必要考虑到这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the effects of significant factors and interactions on the enrichment of arsenic and chromium by pipette tip solid phase extraction using novel P-ZrO2CeO2ZnO nanoparticles/alginate beads
The study seeks to determine the most significant factors affecting arsenic and chromium enrichment using novel P-ZrO2CeO2ZnO nanoparticles/alginate beads in order to minimize the total number of runs needed to successfully run the experiment. The effects of interactions between factors were also evaluated so that the optimum conditions which are not affected by the other factors are chosen for the experiments. The most significant factors on arsenic and chromium enrichment were screened for by using a half-factorial design, followed by the optimization of significant factors using the full-factorial design, and the interaction between factors was determined using ANOVA and interaction plots. The most significant factors for chromium recovery were sample volume, eluent flow rate, and sorbent dosage. For both chromium and arsenic recovery, interactions occurred between sample volume, dosage, and pH. The optimum conditions chosen for the experiment that gave favourable results for both metal ions were sample volume 5 mL, dosage 40 mg, pH = 7 and eluent flow rate 1 mL/min. This study showed that a preliminary screening step for the most significant factors for arsenic and chromium enrichment helps to reduce the number of total runs, and for the same experiment interactions between factors were present; hence, it is necessary to take this into account during the experimental design.
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