Suppr超能文献

利用微藻培养进行生物修复和生物质生产,处理受制药废水污染的河水。

Bioremediation and biomass production of microalgae cultivation in river watercontaminated with pharmaceutical effluent.

机构信息

Institute of Bioresources and Sustainable Development, An Autonomous Institute under Department of Biotechnology, Govt. of India, Sikkim Centre, Tadong, Gangtok-737102, Sikkim, India.

Institute of Bioresources and Sustainable Development, An Autonomous Institute under Department of Biotechnology, Govt. of India, Sikkim Centre, Tadong, Gangtok-737102, Sikkim, India.

出版信息

Bioresour Technol. 2020 Jul;307:123233. doi: 10.1016/j.biortech.2020.123233. Epub 2020 Mar 24.

Abstract

This work evaluated the potential of microalgae of Chlorella sp., SL7A, Chlorococcum sp., SL7B and Neochloris sp.,SK57 cultivated in river water contaminated with pharmaceutical effluent for biomass and lipid production. It has been observed that fast growing algae in this medium is Neochloris sp.SK57. Maximum biomass and lipid yield was obtained from Neochloris sp. SK57 (0.52 g/l) and Chlorococcum sp. SL7B (0.129 g/l)along with drycell weight of lipid was 28%.The increased in biomass and lipid in this media is could due to assimilation of organic nutrients and stress due to other components present in the river water. Fatty acid profile of algal biomass showed that saturated fatty acids production is enhanced in oils of Neochloris sp. SK57, and its suitability in food and fuel applications. Water quality of the river water was monitored before and after algal cultivation. Results showed that quality of river water was improved after algal cultivation.

摘要

本研究评估了在受制药废水污染的河水条件下培养的小球藻(Chlorella sp.,SL7A)、绿球藻(Chlorococcum sp.,SL7B)和颤藻(Neochloris sp.,SK57)用于生物量和脂质生产的潜力。结果表明,在该培养基中快速生长的藻类是颤藻(Neochloris sp.,SK57)。从颤藻(Neochloris sp.,SK57)中获得了最大的生物量和脂质产量(0.52 g/l)和绿球藻(Chlorococcum sp.,SL7B)(0.129 g/l),同时干细胞的脂质重量为 28%。这种培养基中生物量和脂质的增加可能是由于有机营养物质的同化以及河水中其他成分带来的胁迫。藻类生物质的脂肪酸谱表明,颤藻(Neochloris sp.,SK57)中饱和脂肪酸的产量增加,这使其适合于食品和燃料应用。在藻类培养前后监测了河水的水质。结果表明,藻类培养后河水的质量得到了改善。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验