Desirability function approach for optimization of enzymatic transesterification catalyzed by lipase immobilized on mesoporous magnetic nanoparticles
| Autor: | Mohammad Reza Seifi, Kamran Kheiralipour, Mahmoud Karimi, Golmohammad Khoobbakht, Wenqiao Yuan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Biodiesel
060102 archaeology biology Central composite design Renewable Energy Sustainability and the Environment Chemistry 020209 energy food and beverages 06 humanities and the arts 02 engineering and technology Transesterification Mesoporous silica complex mixtures chemistry.chemical_compound Chemical engineering Biodiesel production 0202 electrical engineering electronic engineering information engineering biology.protein 0601 history and archaeology Methanol Response surface methodology Lipase |
| Zdroj: | Renewable Energy. 158:253-262 |
| ISSN: | 0960-1481 |
| Popis: | Lipase-catalyzed transesterification for biodiesel production is clean, effective and water tolerance compare with conventional chemical or physical biodiesel synthesis methods. Therefore, in the present research, Burkholderia cepacia lipase was immobilized onto mesoporous silica/iron oxide magnetic core-shell nanoparticles for canola waste cooking oil (WCO) conversion to biodiesel. Response Surface Methodology (RSM) with Central Composite Design (CCD) was used to optimize the transesterification parameters. A quadratic polynomial equation was obtained for biodiesel yield by multiple regression analysis. Desirability function approach gave the optimal transesterification condition as: immobilized lipase concentration of 36%, reaction time of 25 h, methanol to WCO molar ratio of 6.2 and reaction temperature of 34 °C. The predicted biodiesel yield was 92% at the optimal condition. Transesterification catalyzed by the immobilized lipase carried out three times repeatedly, by losing just 11% of lipase activity in the third cycle of the transesterification. |
| Databáze: | OpenAIRE |
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