Unknown

Dataset Information

0

Auto-flotation of heterocyst enables the efficient production of renewable energy in cyanobacteria.


ABSTRACT: Utilizing cyanobacteria as a bioenergy resource is difficult due to the cost and energy consuming harvests of microalgal biomass. In this study, an auto-floating system was developed by increasing the photobiological H2 production in the heterocysts of filamentous cyanobacteria. An amount of 1.0??M of diuron, which inhibited O2 production in cyanobacteria, resulted in a high rate of H2 production in heterocysts. The auto-floating process recovered 91.71% ± 1.22 of the accumulated microalgal biomass from the liquid media. Quantification analysis revealed that 0.72-1.10??mol H2 per mg dry weight microalgal biomass was necessary to create this auto-floating system. Further bio-conversion by using anaerobic digestion converted the harvested microalgal biomass into biogas. Through this novel coupled system of photobiological H2 production and anaerobic digestion, a high level of light energy conversion efficiency from solar energy to bioenergy was attained with the values of 3.79% ± 0.76.

SUBMITTER: Chen M 

PROVIDER: S-EPMC3915303 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Auto-flotation of heterocyst enables the efficient production of renewable energy in cyanobacteria.

Chen Ming M   Li Jihong J   Zhang Lei L   Chang Sandra S   Liu Chen C   Wang Jianlong J   Li Shizhong S  

Scientific reports 20140206


Utilizing cyanobacteria as a bioenergy resource is difficult due to the cost and energy consuming harvests of microalgal biomass. In this study, an auto-floating system was developed by increasing the photobiological H2 production in the heterocysts of filamentous cyanobacteria. An amount of 1.0 μM of diuron, which inhibited O2 production in cyanobacteria, resulted in a high rate of H2 production in heterocysts. The auto-floating process recovered 91.71% ± 1.22 of the accumulated microalgal biom  ...[more]

Similar Datasets

| S-EPMC3136707 | biostudies-literature
| S-EPMC3968457 | biostudies-literature
| S-EPMC5109257 | biostudies-literature
| S-EPMC7463236 | biostudies-literature
| S-EPMC6956762 | biostudies-literature
| S-EPMC10533634 | biostudies-literature
| S-EPMC4874684 | biostudies-literature
| S-EPMC9793493 | biostudies-literature
| S-EPMC4630624 | biostudies-literature
| S-EPMC3121805 | biostudies-literature