Directional methanolysis of kitchen waste for the co-production of methyl levulinate and fatty acid methyl esters: Catalytic strategy and machine learning modeling.

Zhang, Luxin; Xing, Xu; Liu, Yuting; Shi, Weiwei; Wang, Mingzhe

Zhang, Luxin; Xing, Xu; Liu, Yuting; Shi, Weiwei; Wang, Mingzhe.

Afiliación

Zhang L; College of Environmental and Municipal Engineering, Shaanxi Key Laboratory of Environmental Engineering, Key Lab of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, PR China. Electronic address: zhangluxinxx@126.com.
Xing X; College of Environmental and Municipal Engineering, Shaanxi Key Laboratory of Environmental Engineering, Key Lab of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, PR China.
Liu Y; College of Environmental and Municipal Engineering, Shaanxi Key Laboratory of Environmental Engineering, Key Lab of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, PR China.
Shi W; School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, PR China.
Wang M; School of Electrical and Data Engineering, University of Technology Sydney, 15 Broadway Ultimo, NSW 2007, Australia.

Bioresour Technol ; 367: 128274, 2023 Jan.

Article en En | MEDLINE | ID: mdl-36351533

Asunto(s)

Biocombustibles; Ácidos Grasos; Catálisis; Ésteres; Aprendizaje Automático

Palabras clave

FAMEs; Kitchen waste; Machine learning; Methanolysis; Methyl levulinate; Valorization

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ácidos Grasos / Biocombustibles Idioma: En Revista: Bioresour Technol Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article

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