用于高效多巴胺涂层的重组漆酶生物合成

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biochemical Engineering Journal Pub Date : 2024-09-10 DOI:10.1016/j.bej.2024.109483
Flávia F. Magalhães , Márcia C. Neves , Augusto Q. Pedro , Mara G. Freire , Valéria C. Santos-Ebinuma , Ana P.M. Tavares
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引用次数: 0

摘要

漆酶是一种用途广泛的生物催化剂,可用于多种工业领域。本研究报告了在 Komagataella phaffii X33 中表达 Trametes versicolor 漆酶的情况。在轨道振动器中研究了重组漆酶生产的培养参数(甲醇和 CuSO4 浓度以及温度)。通过每天添加 1 % (v/v) 甲醇、补充 0.1 mM CuSO4 和在 25 °C 下培养,提高了漆酶的产量。在这些条件下,在 4 L 搅拌罐生物反应器中扩大了漆酶的产量。随后,采用超滤和丙酮沉淀相结合的方法浓缩和纯化漆酶,纯化系数达到 3.02。生产出的漆酶在 pH 值为 4.0 至 8.0 的范围内具有很强的稳定性,热稳定性可达 30 °C。迈克尔斯-门顿动力学显示,迈克尔斯常数(KM)和最大反应速率(Vmax)值分别为 44.5 µM 和 110.9 µM/min。最后,经漫反射光谱(UV-Vis DRS)和扫描电子显微镜(SEM)证实,漆酶被用作一种生物催化剂,可帮助多巴胺聚合成聚多巴胺,从而实现纤维素滤纸的一步涂布。这项工作代表了在轨道摇床和生物反应器中生产漆酶领域的进步,同时也首次证明了漆酶辅助多巴胺聚合可在滤纸上涂布聚多巴胺。
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Recombinant laccase biosynthesis for efficient polydopamine coating

Laccases are versatile biocatalysts with interest for various industrial applications. This study reports the expression of Trametes versicolor laccase in Komagataella phaffii X33. The cultivation parameters (methanol and CuSO4 concentration, and temperature) for recombinant laccase production were studied in an orbital shaker. Enhanced laccase production was achieved by adding 1 % (v/v) methanol daily, supplementing 0.1 mM CuSO4 and incubating at 25 °C. Under these conditions, laccase production was scaled-up in a 4 L stirred tank bioreactor. Subsequently, laccase was concentrated and purified using a combined protocol of ultrafiltration and acetone precipitation, achieving a purification factor of 3.02. The laccase produced exhibited robust stability within a pH range from 4.0 to 8.0 and thermal stability up to 30 °C. Michaelis Menten kinetic revealed Michaelis constant (KM) and maximum rate of reaction (Vmax) values of 44.5 µM and 110.9 µM/min, respectively. Finally, laccase was employed as a biocatalyst to assist the polymerization of dopamine to polydopamine, allowing the one-step coating of cellulose filter paper, as confirmed by diffuse reflectance spectroscopy (UV-Vis DRS) and scanning electron microscopy (SEM). This work represents an advance in the field of laccase production in both orbital shaker and bioreactor, while demonstrating, for the first time, the laccase-assisted polymerization of dopamine for the coating of filter paper with polydopamine.

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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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