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    Predicting the Production of Probiotic Biomass and Lactic Acid via Fuzzy Logic during the Anaerobic Treatment of Swine Waste (<i>Sus domestica</i>) with <i>Lactobacillus</i> <i>acidophilus</i>

    Source: Journal of Environmental Engineering:;2024:;Volume ( 150 ):;issue: 001::page 04023093-1
    Author:
    Joaquín Estrada-García
    ,
    Diana Ibeth Romero-Mota
    ,
    Gustavo Ángel Huerta-Pérez
    ,
    Alberto Alfonso Aguilar-Lasserre
    ,
    Juan Manuel Méndez-Contreras
    DOI: 10.1061/JOEEDU.EEENG-7497
    Publisher: ASCE
    Abstract: The massive generation of pig manure significantly contributes to the emission of greenhouse gases; in addition, its poor disposal represents a serious risk to human and animal health. In recent years, the microbial fermentation process has become relevant because it is considered a circular bioeconomy strategy, guaranteeing the recovery of agro-industrial waste and waste management. In this work, the production of lactic acid and biomass was evaluated from an anaerobic bioconversion process of swine residues in the presence of L. acidophilus. A 5 L capacity reactor was used, and different stirring speeds were evaluated (100, 150, and 200 rpm). It was concluded that the highest production of lactic acid and biomass was 30.15 and 111.52  g/L, respectively, which were reached during the experiments carried out at 100 rpm. The biomass was analyzed to determine the content of carbohydrates, proteins, and cell count, which were 0  g/L, 17.16%, and 3.45×107cfu/g, respectively. Finally, the fuzzy logic technique was applied, and response surface graphs were generated to determine the variables with the greatest impact on lactic acid and biomass generation.
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      Predicting the Production of Probiotic Biomass and Lactic Acid via Fuzzy Logic during the Anaerobic Treatment of Swine Waste (<i>Sus domestica</i>) with <i>Lactobacillus</i> <i>acidophilus</i>

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4296615
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    • Journal of Environmental Engineering

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    contributor authorJoaquín Estrada-García
    contributor authorDiana Ibeth Romero-Mota
    contributor authorGustavo Ángel Huerta-Pérez
    contributor authorAlberto Alfonso Aguilar-Lasserre
    contributor authorJuan Manuel Méndez-Contreras
    date accessioned2024-04-27T22:25:17Z
    date available2024-04-27T22:25:17Z
    date issued2024/01/01
    identifier other10.1061-JOEEDU.EEENG-7497.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4296615
    description abstractThe massive generation of pig manure significantly contributes to the emission of greenhouse gases; in addition, its poor disposal represents a serious risk to human and animal health. In recent years, the microbial fermentation process has become relevant because it is considered a circular bioeconomy strategy, guaranteeing the recovery of agro-industrial waste and waste management. In this work, the production of lactic acid and biomass was evaluated from an anaerobic bioconversion process of swine residues in the presence of L. acidophilus. A 5 L capacity reactor was used, and different stirring speeds were evaluated (100, 150, and 200 rpm). It was concluded that the highest production of lactic acid and biomass was 30.15 and 111.52  g/L, respectively, which were reached during the experiments carried out at 100 rpm. The biomass was analyzed to determine the content of carbohydrates, proteins, and cell count, which were 0  g/L, 17.16%, and 3.45×107cfu/g, respectively. Finally, the fuzzy logic technique was applied, and response surface graphs were generated to determine the variables with the greatest impact on lactic acid and biomass generation.
    publisherASCE
    titlePredicting the Production of Probiotic Biomass and Lactic Acid via Fuzzy Logic during the Anaerobic Treatment of Swine Waste (Sus domestica) with Lactobacillus acidophilus
    typeJournal Article
    journal volume150
    journal issue1
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/JOEEDU.EEENG-7497
    journal fristpage04023093-1
    journal lastpage04023093-17
    page17
    treeJournal of Environmental Engineering:;2024:;Volume ( 150 ):;issue: 001
    contenttypeFulltext
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