Conversion of bio-oil extracted from Chlorella vulgaris micro algae to biodiesel via modified superparamagnetic nano-biocatalyst
Tahereh Nematian,
Zeinab Salehi and
Alireza Shakeri
Renewable Energy, 2020, vol. 146, issue C, 1796-1804
Abstract:
Rhizopus oryzae lipase (ROL) was loaded on Fe3O4 superparamagnetic nanoparticles (MNPs) with electrostatic attractions and covalent bonding. The nano-biocatalysts were used in biodiesel production process to investigate the effect of enzyme covalent bonding on catalytic performance. For nano-biocatalysts preparation, ROL was loaded on pure MNPs and MNPs functionalized with 3-aminopropyl triethylenesilane (MNP-AP), electrostatically. The enzyme was also bonded to MNPs functionalized with 3-aminopropyl triethylenesilane-glutaraldehyde (MNP-AP-GA), covalently. The hydrolytic activity, kinetic parameters, esterification productivity, and reusability of ROL/MNP, ROL/MNP-AP, and ROL/MNP-AP-GA as the four nano-biocatalysts were investigated and compared. The morphology, structure and magnetic characteristics of the MNPs were evaluated using FESEM, FTIR, XRD and VSM. The components of products were analyzed using GC-MS technique. The covalent bonding increased enzyme loading on the support from 36.35 to 51.75 wt %. Transesterification reaction in the presence of ROL/MNP-AP-GA showed the highest conversion (69.8 wt %) among immobilized biocatalysts. Reusability analysis showed that the covalent bonding of enzyme (ROL/MNP-AP-GA) can prevent catalyst wasting, significantly. The conversion after five cycles of reuse for ROL/MNP-AP-GA was 2 times higher than ROL/MNP-AP and 3 times higher than ROL/MNP. The covalent bonding of lipase using relatively long chain coupler agents showed to be a reliable method for enhancing enzyme loading and productivity.
Keywords: Lipase immobilization; Fe3O4 superparamagnetic; Catalyst reusability; Biodiesel production; Microalgae bio-oil (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:146:y:2020:i:c:p:1796-1804
DOI: 10.1016/j.renene.2019.08.048
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