Department of Adaptive Biotechnologies, Global Change Research Centre, Academy of Science of the Czech Republic, Drásov, Czech Republic.
Institut für Theoretische Biologie, Humboldt-Universität zu Berlin, Berlin, Germany.
Bioresour Technol. 2016 Feb;202:142-51. doi: 10.1016/j.biortech.2015.11.062. Epub 2015 Dec 2.
The prediction of the world's future energy consumption and global climate change makes it desirable to identify new technologies to replace or augment fossil fuels by environmentally sustainable alternatives. One appealing sustainable energy concept is harvesting solar energy via photosynthesis coupled to conversion of CO2 into chemical feedstock and fuel. In this work, the production of ethylene, the most widely used petrochemical produced exclusively from fossil fuels, in the model cyanobacterium Synechocystis sp. PCC 6803 is studied. A novel instrumentation setup for quantitative monitoring of ethylene production using a combination of flat-panel photobioreactor coupled to a membrane-inlet mass spectrometer is introduced. Carbon partitioning is estimated using a quantitative model of cyanobacterial metabolism. The results show that ethylene is produced under a wide range of light intensities with an optimum at modest irradiances. The results allow production conditions to be optimized in a highly controlled setup.
预测世界未来的能源消耗和全球气候变化，使得人们希望找到新技术来替代或补充化石燃料，以实现环境可持续的替代品。一个吸引人的可持续能源概念是通过光合作用来收集太阳能，同时将二氧化碳转化为化学原料和燃料。在这项工作中，研究了在模式蓝藻集胞藻 6803 中生产乙烯，乙烯是最广泛使用的石油化工产品，完全由化石燃料生产。介绍了一种新颖的仪器设置，用于使用平板光生物反应器与膜进质谱仪相结合定量监测乙烯的生产。利用蓝藻代谢的定量模型来估计碳分配。结果表明，在广泛的光强度范围内都能产生乙烯，中等辐照度下有最佳效果。这些结果使得在高度可控的设置中可以优化生产条件。
