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Recent progress in microbial fuel cells using substrates from diverse sources

Sonawane, Jayesh M., Mahadevan, Radhakrishnan, Pandey, Ashok, Greener, Jesse·2022·Heliyon

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Crossref · 10.1016/j.heliyon.2022.e12353

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  • The juice processing industry generates large volumes of wastewater characterized by high organic loads, primarily from fruit residues, sugars, and organic acids.

    “Among these, the juice processing industry generates large volumes of wastewater characterized by high organic loads, primarily from fruit residues, sugars, and organic acids4,9.”

    From Performance of maize tassel activated carbon for COD removal from industrial wastewater under optimized conditions (2025) · cites this paper as [4]

    The Fruit waste section (page unavailable) says orange-juice production generates a large volume of residues, including seeds and peels. It does not say that juice processing generates large volumes of wastewater or characterize that wastewater as having high organic loads primarily from fruit residues, sugars, and organic acids. (LLM, conf=0.78)

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  • Juice processing effluents typically exhibit elevated COD and BOD levels, low pH values due to natural acids, and high turbidity from suspended solids and pulp.

    “These effluents typically exhibit elevated COD and BOD levels, low pH values due to natural acids (e.g., citric acid), and high turbidity from suspended solids and pulp.”

    From Performance of maize tassel activated carbon for COD removal from industrial wastewater under optimized conditions (2025) · cites this paper as [4]

    The Fruit waste section discusses residues from juice extraction and clarified cashew apple juice as an MFC substrate, but does not describe juice-processing effluents. The Industrial wastewater and Agricultural waste sections report COD, BOD, acidity, and suspended solids for other effluents; they do not establish elevated COD and BOD, acid-driven low pH, or pulp-driven turbidity for juice-processing effluents. Searches for juice wastewater, citric acid, and fruit-processing effluent found no passage addressing those properties together. (LLM, conf=0.75)

    Experimental — accuracy not yet measured

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Metadata

Authors
Sonawane, J. M., Mahadevan, R., Pandey, A., & Greener, J.
Venue
Heliyon
Publisher
Elsevier BV
Published
2022-12
Volume
8
Issue
12
Pages
e12353
ISSN
2405-8440
Cited by
145
References
0
Language
en
Funders
Natural Sciences and Engineering Research Council of Canada

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