Khalida Muda, Mohamad Ali Fulazzaky*, Tiffany Messer, Ahmad Hanis Omar and Armstrong Ighodalo Omoregie,
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引用次数: 0
Abstract
The treatment of dye-contaminated wastewater using granular sludge was evaluated to ensure an effective design process for biogranulation technology. The investigation of dye-contaminated wastewater treatment in a sequencing batch reactor (SBR) aimed to understand the decolorization of mixed azo dyes (MAD) mediated by aerobic granular sludge (AGS) and magnetic-activated carbon aerobic granular sludge (MACAGS). The applicability of Generalized Fulazzaky equations was expanded to predict the mechanisms and kinetics of global, external, and internal mass transfer. The performance of SBR in decolorizing MAD with AGS and MACAGS reached 65.04% and 82.32% efficiency, respectively, exhibiting an increased efficiency of 17.28% (82.32–65.04%) with the presence of magnetic-activated carbon (MAC) in the formation of AGS. A trend in the variation of the internal mass transfer factor was similar to that of the global mass transfer factor and was far higher than that of the external mass transfer factor, indicating that the rate-limiting step of MAD decolorization was dependent on the resistance of external mass transfer. An analysis of the decolorization efficiency based on the internal mass transfer factor provided new insights into the role of MAC in enhancing the SBR performance, contributing to the advanced treatment of dye-contaminated wastewater.
期刊介绍:
ACS ES&T Engineering publishes impactful research and review articles across all realms of environmental technology and engineering, employing a rigorous peer-review process. As a specialized journal, it aims to provide an international platform for research and innovation, inviting contributions on materials technologies, processes, data analytics, and engineering systems that can effectively manage, protect, and remediate air, water, and soil quality, as well as treat wastes and recover resources.
The journal encourages research that supports informed decision-making within complex engineered systems and is grounded in mechanistic science and analytics, describing intricate environmental engineering systems. It considers papers presenting novel advancements, spanning from laboratory discovery to field-based application. However, case or demonstration studies lacking significant scientific advancements and technological innovations are not within its scope.
Contributions containing experimental and/or theoretical methods, rooted in engineering principles and integrated with knowledge from other disciplines, are welcomed.