Comparative study of electrode material (aluminium and stainless steel) for treatment by electrocoagulation of Vinasse liquid from sugar beet industry

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2025-02-01 DOI:10.1016/j.cdc.2025.101180
Samia Elbouatlaoui, Nadia Dkhireche, Iman Chaouki
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Abstract

The treatment of industrial wastewater has seen significant advancements in technology. Among these industries, the molasses sector has become one of the most rapidly growing economic segments worldwide. The industrial waste generated, particularly vinasse, is rich in organic matter and exhibits pollution levels that far exceed acceptable discharge standards for surface waters. This study focuses on treating vinasse using the electrocoagulation technique, employing aluminum and iron electrodes. Current densities of 0.01, 0.025, and 0.05 A/cm² were applied to assess their efficiency in treating vinasse effluent. Operating parameters such as pH, conductivity, and electrode dissolution kinetics were monitored. High abatement rates were achieved at 0.05 A/cm² for both electrode types. Turbidity was reduced with an efficiency of 64 % for the aluminum electrode and 61 % for the iron electrode, while the chemical oxygen demand was decreased by 69 % and 72 %, respectively. Monitoring the dissolution kinetics of the electrodes over 8 h demonstrated that similar efficiency levels could be achieved with reduced electrolysis time and increased current density. The treated water was partially treated and requires further biological treatment to meet discharge standards or for safe reuse.
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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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