将可再生甘油转化为碳酸甘油作为增值产品的生物催化设计

M. Tudorache, George Ghemes, Andreea Nae, E. Matei, I. Mercioniu, E. Kemnitz, Benjamin S. Ritter, S. Coman, V. Pârvulescu
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引用次数: 8

摘要

比较研究了两种不同的生物催化模型,即酶固定在磁性颗粒上(EIMP)和酶聚集体在磁性颗粒上交联(CLEMPA)。第一个模型被设计成酶固定在磁性颗粒表面(EIMP)。将酶聚集体和磁性粒子置于节点中,聚戊二醛交联剂作为网络边缘,构建网络结构。该设计被称为交联酶聚集体到磁性颗粒(CLEMPA)。以黑曲霉脂酶为原料制备生物催化剂,催化甘油(Gly)转化为碳酸甘油(GlyC)。采用扫描电镜(SEM)、激光散射(LLS)和紫外-可见技术对两种设计(EIMP和CLEMPA)的生物催化剂特性进行了评价。EIMP模型受覆盖颗粒表面的聚合物层组成的强烈影响,而磁性颗粒的大小主要影响CLEMPA设计。此外,测试模型的生物催化能力被评估为EIMP的最大Gly转化率为52%,GlyC选择性为90%,CLEMPA的最大Gly转化率为73%,GlyC选择性为77%。这两种生物催化模型都成功地用于从生物柴油过程中直接收集的“粗”甘油制备GlyC(例如,EIMP的Gly转化率为49%,GlyC选择性为91%,CLEMPA的Gly转化率为70%,GlyC选择性为80%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biocatalytic designs for the conversion of renewable glycerol into glycerol carbonate as a value-added product
A comparative study of two different biocatalytic models, e.g. enzyme immobilized on magnetic particles (EIMP) and cross-linking enzyme aggregates onto magnetic particles (CLEMPA) was performed. The first model was designed as enzyme-immobilized on the magnetic particles surface (EIMP). The second model was constructed as a network structure with the enzyme aggregates and magnetic particles placed into the nodes and polyglutaraldehyde cross-linker as the network ledges. The design was called cross-linking enzyme aggregates onto magnetic particles (CLEMPA). The biocatalysts were prepared using lipase enzyme from Aspergillus niger for catalyzing the glycerol (Gly) conversion to glycerol carbonate (GlyC). The biocatalyst characteristics for both designs (EIMP and CLEMPA) were evaluated using scanning electron microscopy (SEM), laser light scattering (LLS) and UV-Vis techniques. The EIMP model was strongly influenced by the composition of the polymeric layer covering the particles surface, while the size of the magnetic particles affected mostly the CLEMPA design. Also, the biocatalytic capacity of the tested models was evaluated as maximum 52% Gly conversion with 90% GlyC selectivity for EIMP, and 73% Gly conversion with 77% GlyC selectivity for CLEMPA. Both biocatalytic models were successfully used to prepare GlyC from “crude” glycerol collected directly from the biodiesel process (e.g. 49% Gly conversion with 91% GlyC selectivity for EIMP and 70% Gly conversion with 80% GlyC selectivity for CLEMPA).
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