reaction condition optimization and artificial neural network modelling
Praveen Kumar (Avtor), Ramanpreet Kaur (Avtor), Shilpi Verma (Avtor), Urška Lavrenčič Štangar (Avtor)

Povzetek

In this study, the catalytic activity of Cu-derived oxide catalysts in glycerol hydrogenolysis was investigated and the effect on the selectivity of 1,2-propanediol (1,2-PDO) with the different Cu/Al molar ratios was observed. The glycerol conversion/1,2-PDO selectivity was found to be dependent on the metallic sites and surface acidity of the Cu-based catalyst. The surface acidity and metallic sites of Cu nanoparticles were significantly improved with the increase of Cu/Al mole fraction in the catalyst. The efficiency of the Cu-derived oxide catalyst was attributed to the well-dispersed Cu and the presence of acidic sites. As expected, the Cu-based oxide catalyst (3CuAl) showed remarkable catalytic performance for 1,2-PDO synthesis with the highest turnover frequency (TOF) from the hydrogenolysis reaction. It is observed that the Cu-derived oxide catalyst is stable and efficient under strident reaction conditions in the presence of water and high temperature (aqueous glycerol solution (20 wt%), 210 °C, 40 bar). Moreover, the reaction conditions for glycerol hydrogenolysis in the presence of active 3CuAl were optimized to maximize the selectivity of 1,2-PDO with TOF. In addition, overcoming the limitation due to the external mass transfer resistance was investigated. The rate of glycerol consumption was subjected to kinetic analysis, which revealed a zero-order relationship on glycerol concentration, indicating that adsorbed glycerol was the most tightly bonded organic adsorbate. Further, the experimental reaction data was validated through the developed artificial neural network (ANN) model.

Ključne besede

hidrogenoliza glicerola;kataliza;katalitska aktivnost;glycerol hydrogenolysis;catalysis;catalytic activity;interface studies;surface acidity and metallic phase;ANN modelling;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FKKT - Fakulteta za kemijo in kemijsko tehnologijo
UDK: 66.092.094.25.097
COBISS: 131392259 Povezava se bo odprla v novem oknu
ISSN: 0169-1317
Št. ogledov: 56
Št. prenosov: 26
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: hidrogenoliza glicerola;kataliza;katalitska aktivnost;študij površin;površinska kislost in kovinska faza;ANN modeliranje;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 1-10
Zvezek: ǂVol. ǂ232
Čas izdaje: Feb. 2023
DOI: 10.1016/j.clay.2022.106762
ID: 17458823