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New kinetic models for predicting the removal of oil and grease from food-processing industry wastewater

Fulazzaky, Mohamad Ali and Abdullah, Shakila and Muda, Khalida and Martin, Abraham Yazdi and Mohammad Fulazzaky, Mohammad Fulazzaky (2022) New kinetic models for predicting the removal of oil and grease from food-processing industry wastewater. Chemical Engineering Research and Design, 188 (NA). pp. 1067-1076. ISSN 0263-8762

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Official URL: http://dx.doi.org/10.1016/j.cherd.2022.10.047

Abstract

Biochemical accumulation rate of Serratia marcescens SA30 to remove the oil and grease (O&G) contaminant from a wastewater can be described using the kinetic models of packed-bed column reactor (PBCR) treatment system. The aim of this study was to develop the linear and logarithmic equations for predicting the efficiency of O&G removal from food-processing industry wastewater. The results showed that the performance of PBCR treatment process can achieve nearly 100% efficiency when the PBCR experiments were run using the initial O&G concentrations of 26.9 and 33.5 g L-1 with a volumetric flow rate of 0.18 L h-1. The applicability of the linear and logarithmic equations represented a quick and reliable method to monitor the trend of O&G removal by the PBCR treatment process contributes to strengthening the future biotechnological methods of treating oil-contaminated wastewater in the tropical environment.

Item Type:Article
Uncontrolled Keywords:Biochemical accumulation rate, Kinetic model, Oil-contaminated wastewater, Packed-bed column reactor, Serratia marcescens SA30
Subjects:T Technology > TP Chemical technology
Divisions:Civil Engineering
ID Code:103076
Deposited By: Widya Wahid
Deposited On:12 Oct 2023 09:20
Last Modified:12 Oct 2023 09:20

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