Urease production using corn steep liquor as a low-cost nutrient source by Sporosarcina pasteurii: biocementation and process optimization via artificial intelligence approaches.

Maleki-Kakelar, Mahdi; Azarhoosh, Mohammad Javad; Golmohammadi Senji, Sina; Aghaeinejad-Meybodi, Abbas

Maleki-Kakelar, Mahdi; Azarhoosh, Mohammad Javad; Golmohammadi Senji, Sina; Aghaeinejad-Meybodi, Abbas.

Affiliation

Maleki-Kakelar M; Department of Chemical Engineering, University of Zanjan, Zanjan, Iran. mmaleki@znu.ac.ir.
Azarhoosh MJ; Chemical Engineering Department, Urmia University, Urmia, Iran.
Golmohammadi Senji S; Department of Civil Engineering, University of Tehran, Tehran, Iran.
Aghaeinejad-Meybodi A; Chemical Engineering Department, Urmia University, Urmia, Iran.

Environ Sci Pollut Res Int ; 29(10): 13767-13781, 2022 Feb.

Article in En | MEDLINE | ID: mdl-34599437

Subject(s)

Urease; Zea mays; Artificial Intelligence; Calcium Carbonate; Nutrients; Sporosarcina

Key words

Adaptive neuro-fuzzy inference system; Biogrout; Genetic programming; Industrial waste; Microbial induced carbonate precipitation; Shear strength; Soil improvement

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urease / Zea mays Type of study: Health_economic_evaluation / Prognostic_studies Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2022 Document type: Article Affiliation country: Iran Country of publication: Germany

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