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Castro G, Cruz-Borbolla J, Galván M, Guevara-García A, Ireta J, Matus MH, Meneses-Viveros A, Ignacio Perea-Ramírez L, Pescador-Rojas M. Hydrodesulfurization of Dibenzothiophene: A Machine Learning Approach. ChemistryOpen 2024:e202400062. [PMID: 38607955 DOI: 10.1002/open.202400062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 03/18/2024] [Indexed: 04/14/2024] Open
Abstract
The hydrodesulfurization (HDS) process is widely used in the industry to eliminate sulfur compounds from fuels. However, removing dibenzothiophene (DBT) and its derivatives is a challenge. Here, the key aspects that affect the efficiency of catalysts in the HDS of DBT were investigated using machine learning (ML) algorithms. The conversion of DBT and selectivity was estimated by applying Lasso, Ridge, and Random Forest regression techniques. For the estimation of conversion of DBT, Random Forest and Lasso offer adequate predictions. At the same time, regularized regressions have similar outcomes, which are suitable for selectivity estimations. According to the regression coefficient, the structural parameters are essential predictors for selectivity, highlighting the pore size, and slab length. These properties can connect with aspects like the availability of active sites. The insights gained through ML techniques about the HDS catalysts agree with the interpretations of previous experimental reports.
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Affiliation(s)
- Guadalupe Castro
- Departamento de Química, Universidad Autónoma Metropolitana-Iztapalapa, Av. Ferrocarril San Rafael Atlixco 186, Col. Leyes de Reforma 1 A Sección, Iztapalapa, C.P. 09310, Ciudad de México, México
| | - Julián Cruz-Borbolla
- Área Académica de Química, Centro de Investigaciones Químicas - Universidad Autónoma del Estado de Hidalgo, Carretera Pachuca-Tulancingo km. 4.5, Ciudad del Conocimiento, C.P. 42184, Mineral de la Reforma, Hidalgo, México
| | - Marcelo Galván
- Departamento de Química, Universidad Autónoma Metropolitana-Iztapalapa, Av. Ferrocarril San Rafael Atlixco 186, Col. Leyes de Reforma 1 A Sección, Iztapalapa, C.P. 09310, Ciudad de México, México
| | - Alfredo Guevara-García
- Departamento de Química, CONAHCYT-Universidad Autónoma Metropolitana-Iztapalapa, Av. Ferrocarril San Rafael Atlixco 186, Col. Leyes de Reforma 1 A Sección, Iztapalapa, C.P. 09310, Ciudad de México, México
| | - Joel Ireta
- Departamento de Química, Universidad Autónoma Metropolitana-Iztapalapa, Av. Ferrocarril San Rafael Atlixco 186, Col. Leyes de Reforma 1 A Sección, Iztapalapa, C.P. 09310, Ciudad de México, México
| | - Myrna H Matus
- Instituto de Química Aplicada, Universidad Veracruzana, Av. Luis Castelazo Ayala s/n, Col. Industrial-Ánimas, A.P. 575, Xalapa, Ver., México
| | - Amilcar Meneses-Viveros
- Departamento de Computación, CINVESTAV-IPN, Av. IPN 2508, Col. San Pedro Zacatenco, C.P. 07360, Ciudad de Mexico, México
| | - Luis Ignacio Perea-Ramírez
- Instituto de Química Aplicada, Universidad Veracruzana, Av. Luis Castelazo Ayala s/n, Col. Industrial-Ánimas, A.P. 575, Xalapa, Ver., México
| | - Miriam Pescador-Rojas
- Escuela Superior de Cómputo, Instituto Politécnico Nacional, Instituto Politécnico Nacional, Av. Juan de Dios Bátiz s/n, esq. Av. Miguel Othón de Mendizabal, Col. Lindavista, Gustavo A. Madero, C. P. 07738, Ciudad de México, México
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Xiao Z, Li Q, Wang W, Li G, Lin G, Li X, Chen S. Effects of temperature and time on the facile low-temperature pre-sulfurization of tube-like unsupported Co-Mo catalysts for hydrodesulfurization. MOLECULAR CATALYSIS 2022. [DOI: 10.1016/j.mcat.2022.112470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Han D, Li Q, Wang E, Xie W, Chen G, Zhang Q, Bing L, Wang F, Fu H, Wang G. The evolution of NiMo unsupported catalysts with 3DOM structure for thiophene hydrodesulfurization. Catal Today 2022. [DOI: 10.1016/j.cattod.2022.03.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Liang J, Wu M, Zhang Z, Wang H, Huang T, Zhao L, Liu Y, Liu C. Constructing superior Co-Mo HDS catalyst from a crystalline precursor separated from the impregnating solution. Catal Sci Technol 2022. [DOI: 10.1039/d2cy00083k] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
In this paper, a Co tetra-capped Keggin crystalline Co4Mo12 was separated from the impregnating solution through the self-assembly strategy. The crystalline Co4Mo12 was structurally characterized and used as a molecular...
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Jiang J, Chen J, Jiang P, Leng Y, Jin W. N-doped Carbon-coated Metal Sulfides/Phosphides Derived from Protic Salts for Oxygen Evolution Reaction. ChemCatChem 2019. [DOI: 10.1002/cctc.201801966] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Jiusheng Jiang
- The Key Laboratory of Synthetic and Biological Colloids School of Chemical and Material Engineering; Jiangnan University; Wuxi 214122 Jiangsu China
| | - Jianping Chen
- The Key Laboratory of Synthetic and Biological Colloids School of Chemical and Material Engineering; Jiangnan University; Wuxi 214122 Jiangsu China
| | - Pingping Jiang
- The Key Laboratory of Synthetic and Biological Colloids School of Chemical and Material Engineering; Jiangnan University; Wuxi 214122 Jiangsu China
| | - Yan Leng
- The Key Laboratory of Synthetic and Biological Colloids School of Chemical and Material Engineering; Jiangnan University; Wuxi 214122 Jiangsu China
| | - Wei Jin
- The Key Laboratory of Synthetic and Biological Colloids School of Chemical and Material Engineering; Jiangnan University; Wuxi 214122 Jiangsu China
- Institute of Process Engineering; Chinese Academy of Sciences; 1th Ber-er-tiao Zhongguancun, Beijing 100190 China
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