使用铁屑电极电凝去除六价铬:优化和动力学建模

IF 2.218 Q2 Chemistry
Gabriel André Tochetto , Vilson Conrado da Luz , Adriana Dervanoski , Gean Delise Leal Pasquali
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引用次数: 0

摘要

电凝是一种先进的工艺,可确保高效处理含有重金属的污水。由于效率高,通过重复使用废金属作为电极来最大限度地降低成本的做法越来越受到重视。本研究旨在评估和建立一个使用废铁电极进行六价铬电凝的优化系统。考虑到 pH 值、六价铬浓度、系统温度、搅拌、外加电流和反应时间等变量,通过一系列实验设计(如普拉克特-伯曼设计和中央复合可旋转设计)得出了优化系统。结果表明,使用废铁电极通过电凝去除六价铬的高效优化系统适用于 1 L 的体积,包括使用 0.7 A 的电流、pH 值 1.5、0.75 mg L-1 的氯化钠以及 30-45 分钟的时间范围(浓度范围为 80-150 mg L-1)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hexavalent chromium removal by electrocoagulation using iron scrap electrodes: Optimization and kinetic modeling

Hexavalent chromium removal by electrocoagulation using iron scrap electrodes: Optimization and kinetic modeling

Electrocoagulation is an advanced process that ensures efficiency in treating effluents containing heavy metals. The cost minimization through the reuse of scrap metal as electrodes gains prominence due to its high efficiency. This study aimed to evaluate and establish an optimized system for Cr(VI) electrocoagulation using scrap iron electrodes. The optimized system was derived through a series of experimental designs such as Plackett–Burman and Central Composite Rotatable Design, considering variables such as pH, Cr(VI) concentration, system temperature, agitation, applied electrical current, and reaction time. The results demonstrated that an efficient and optimized system for Cr(VI) removal through electrocoagulation using scrap iron electrodes, achieved for a 1 L volume, involves the use of: a current of 0.7 A, pH 1.5, 0.75 mg L−1 of NaCl, and a time range of 30–45 min for concentrations ranging from 80 to 150 mg L−1.

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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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