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不同尺度下核心脂质产生的定量分析

Quantitative Analysis of Core Lipid Production in at Different Scales.

作者信息

Baumann Lydia M F, Taubner Ruth-Sophie, Oláh Kinga, Rohrweber Ann-Cathrin, Schuster Bernhard, Birgel Daniel, Rittmann Simon K-M R

机构信息

Institute for Geology, Center for Earth System Research and Sustainability, Universität Hamburg, Bundesstraße 55, 20146 Hamburg, Germany.

Archaea Physiology & Biotechnology Group, Department of Functional and Evolutionary Ecology, Universität Wien, Djerassiplatz 1, 1030 Wien, Austria.

出版信息

Bioengineering (Basel). 2022 Apr 10;9(4):169. doi: 10.3390/bioengineering9040169.

DOI:10.3390/bioengineering9040169
PMID:35447729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9027985/
Abstract

Archaeal lipids have a high biotechnological potential, caused by their high resistance to oxidative stress, extreme pH values and temperatures, as well as their ability to withstand phospholipases. Further, methanogens, a specific group of archaea, are already well-established in the field of biotechnology because of their ability to use carbon dioxide and molecular hydrogen or organic substrates. In this study, we show the potential of the model organism to act both as a carbon dioxide based biological methane producer and as a potential supplier of archaeal lipids. Different cultivation settings were tested to gain an insight into the optimal conditions to produce specific core lipids. The study shows that up-scaling at a constant particle number (n/n = const.) seems to be a promising approach. Further optimizations regarding the length and number of the incubation periods and the ratio of the interaction area to the total liquid volume are necessary for scaling these settings for industrial purposes.

摘要

古菌脂质具有很高的生物技术潜力,这是由于它们对氧化应激、极端pH值和温度具有高度抗性,以及它们能够抵御磷脂酶。此外,产甲烷菌作为古菌的一个特定群体,因其能够利用二氧化碳和分子氢或有机底物,在生物技术领域已得到广泛应用。在本研究中,我们展示了模式生物作为基于二氧化碳的生物甲烷生产者和古菌脂质潜在供应者的潜力。测试了不同的培养条件,以深入了解生产特定核心脂质的最佳条件。研究表明,在恒定颗粒数(n/n = 常数)下进行放大似乎是一种有前景的方法。为了将这些条件扩大到工业规模,需要进一步优化孵育期的长度和数量以及相互作用面积与总液体体积的比例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/157dad8bc161/bioengineering-09-00169-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/d8e9a37d58f6/bioengineering-09-00169-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/2daacb0fbc4b/bioengineering-09-00169-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/ac45a0eebd40/bioengineering-09-00169-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/e03b920f302e/bioengineering-09-00169-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/c50ca4ec371d/bioengineering-09-00169-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/7df93398f4c8/bioengineering-09-00169-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/dce58d1e8cf4/bioengineering-09-00169-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/4dc1309866d1/bioengineering-09-00169-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/94a859665ddc/bioengineering-09-00169-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/157dad8bc161/bioengineering-09-00169-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/d8e9a37d58f6/bioengineering-09-00169-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/2daacb0fbc4b/bioengineering-09-00169-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/ac45a0eebd40/bioengineering-09-00169-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/e03b920f302e/bioengineering-09-00169-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/c50ca4ec371d/bioengineering-09-00169-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/7df93398f4c8/bioengineering-09-00169-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/dce58d1e8cf4/bioengineering-09-00169-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/4dc1309866d1/bioengineering-09-00169-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/94a859665ddc/bioengineering-09-00169-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96dd/9027985/157dad8bc161/bioengineering-09-00169-g010.jpg

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