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Treatment technologies for bakers’ yeast production wastewater

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Abstract

Researchers in recent years have utilized a broad spectrum of treatment technologies in treating bakers’ yeast production wastewater. This paper aims to review the treatment technologies for the wastewater, compare the process technologies, discuss recent innovations, and propose future perspectives in the research area. The review observed that nanofiltration was the most effective membrane process for the treatment of the effluent (at >95% pollutant rejection). Other separation processes like adsorption and distillation had technical challenges of desorption, a poor fit for high pollutant load and cost limitations. Chemical treatment processes have varying levels of success but they are expensive and produce toxic sludge. Sludge production would be a hurdle when product recovery and reuse are targeted. It is difficult to make an outright choice of the best process for treating the effluent because each has its merits and demerits and an appropriate choice can be made when all factors are duly considered. The process intensification of the industrial-scale production of the bakers’ yeast process will be a very direct approach, where the process optimisation, zero effluent discharge, and enhanced recovery of value-added product from the waste streams are important approaches that need to be taken into account.

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Acknowledgements

CAI wishes to acknowledge her mother, Mrs. Nkiru N. Onyechi for her prayers and words of encouragement during her career.

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The paper was conceptualized and supervised by CAI and JOI. The writing was supervised by JOI. The first and revised draft was prepared by CAI, JOI, IAOO, KOI, SG, SBK, SR and RK. All authors contributed equally in writing and review of the manuscript draft.

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Correspondence to Chinenye Adaobi Igwegbe, Selvasembian Rangabhashiyam or Joshua O. Ighalo.

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Igwegbe, C.A., Obiora-Okafo, I.A., Iwuozor, K.O. et al. Treatment technologies for bakers’ yeast production wastewater. Environ Sci Pollut Res 29, 11004–11026 (2022). https://doi.org/10.1007/s11356-021-17992-4

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