Lish Mitra Pourmohammadi, Ashjari Maryam, Yousefi Maryam, Mohammadi Mehdi, Ramazani Ali
Bioprocess Engineering Department, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran; Department of Chemistry, University of Zanjan, Zanjan, Iran.
Bioprocess Engineering Department, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Int J Biol Macromol. 2025 Mar;297:139814. doi: 10.1016/j.ijbiomac.2025.139814. Epub 2025 Jan 12.
The catalytic performance of Candida antarctica lipase B (CALB) immobilized on silica-coated magnetic nanoparticles was evaluated for biodiesel production via methanolysis of rapeseed oil. Two different covalent immobilization approaches were compared to assess the effect of immobilization protocols on lipase efficiency. The first approach involved immobilization of CALB on amine-functionalized magnetic nanoparticles (MNPs), which targeted the Lys-rich regions of the enzyme. The second used epoxy-functionalized MNPs, enabling broader nucleophilic groups on the enzyme surface to participate in the coupling reaction. Immobilization of 20 mg of CALB on 1 g of each support resulted in 82 % and 86 % protein loading on the amine- and epoxy-functionalized MNPs, respectively, after 24 h of incubation. Response surface methodology (RSM) was applied to optimize biodiesel production by analyzing the effects of parameters such as reaction temperature, time, t-butanol concentration, biocatalyst loading, and molecular sieve quantity on the yield of fatty acid methyl esters (FAME). Out of 45 designed experiments, the maximum FAME yields were 92 % and 84 % for the epoxy- and amine-functionalized MNPs, respectively.
评估了固定在二氧化硅包覆磁性纳米颗粒上的南极假丝酵母脂肪酶B(CALB)通过菜籽油甲醇解生产生物柴油的催化性能。比较了两种不同的共价固定方法,以评估固定方案对脂肪酶效率的影响。第一种方法是将CALB固定在胺功能化磁性纳米颗粒(MNPs)上,该颗粒靶向酶的富含赖氨酸区域。第二种方法使用环氧功能化MNPs,使酶表面更广泛的亲核基团参与偶联反应。在1 g每种载体上固定20 mg CALB,孵育24 h后,胺功能化和环氧功能化MNPs上的蛋白质负载量分别为82%和86%。应用响应面法(RSM)通过分析反应温度、时间、叔丁醇浓度、生物催化剂负载量和分子筛用量等参数对脂肪酸甲酯(FAME)产率的影响来优化生物柴油生产。在45个设计实验中,环氧功能化和胺功能化MNPs的最大FAME产率分别为92%和84%。