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Author |
Li, T.; Piltz, B.; Podola, B.; Dron, A.; de Beer, D.; Melkonian, M. |
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Title |
Microscale profiling of photosynthesis-related variables in a highly productive biofilm photobioreactor |
Type |
A1 Journal article |
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Year |
2016 |
Publication |
Biotechnology and bioengineering |
Abbreviated Journal |
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Volume |
113 |
Issue |
5 |
Pages |
1046-1055 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
In the present study depth profiles of light, oxygen, pH and photosynthetic performance in an artificial biofilm of the green alga Halochlorella rubescens in a porous substrate photobioreactor (PSBR) were recorded with microsensors. Biofilms were exposed to different light intensities (50-1,000mol photons m(-2) s(-1)) and CO2 levels (0.04-5% v/v in air). The distribution of photosynthetically active radiation showed almost identical trends for different surface irradiances, namely: a relatively fast drop to a depth of about 250 mu m, (to 5% of the incident), followed by a slower decrease. Light penetrated into the biofilm deeper than the Lambert-Beer Law predicted, which may be attributed to forward scattering of light, thus improving the overall light availability. Oxygen concentration profiles showed maxima at a depth between 50 and 150m, depending on the incident light intensity. A very fast gas exchange was observed at the biofilm surface. The highest oxygen concentration of 3.2mM was measured with 1,000mol photons m(-2) s(-1) and 5% supplementary CO2. Photosynthetic productivity increased with light intensity and/or CO2 concentration and was always highest at the biofilm surface; the stimulating effect of elevated CO2 concentration in the gas phase on photosynthesis was enhanced by higher light intensities. The dissolved inorganic carbon concentration profiles suggest that the availability of the dissolved free CO2 has the strongest impact on photosynthetic productivity. The results suggest that dark respiration could explain previously observed decrease in growth rate over cultivation time in this type of PSBR. Our results represent a basis for understanding the complex dynamics of environmental variables and metabolic processes in artificial phototrophic biofilms exposed to a gas phase and can be used to improve the design and operational parameters of PSBRs. Biotechnol. Bioeng. 2016;113: 1046-1055. (c) 2015 Wiley Periodicals, Inc. |
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000373476700013 |
Publication Date |
2015-10-24 |
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0006-3592 |
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UA library record; WoS full record; WoS citing articles |
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Call Number |
UA @ admin @ c:irua:133255 |
Serial |
8248 |
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Author |
Liu, Y.; Ngo, H.H.; Guo, W.; Peng, L.; Chen, X.; Wang, D.; Pan, Y.; Ni, B.-J. |
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Title |
Modeling electron competition among nitrogen oxides reduction and N2Oaccumulation in hydrogenotrophic denitrification |
Type |
A1 Journal article |
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Year |
2018 |
Publication |
Biotechnology and bioengineering |
Abbreviated Journal |
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Volume |
115 |
Issue |
4 |
Pages |
978-988 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
Hydrogenotrophic denitrification is a novel and sustainable process for nitrogen removal, which utilizes hydrogen as electron donor, and carbon dioxide as carbon source. Recent studies have shown that nitrous oxide (N2O), a highly undesirable intermediate and potent greenhouse gas, can accumulate during this process. In this work, a new mathematical model is developed to describe nitrogen oxides dynamics, especially N2O, during hydrogenotrophic denitrification for the first time. The model describes electron competition among the four steps of hydrogenotrophic denitrification through decoupling hydrogen oxidation and nitrogen reduction processes using electron carriers, in contrast to the existing models that couple these two processes and also do not consider N2O accumulation. The developed model satisfactorily describes experimental data on nitrogen oxides dynamics obtained from two independent hydrogenotrophic denitrifying cultures under various hydrogen and nitrogen oxides supplying conditions, suggesting the validity and applicability of the model. The results indicated that N2O accumulation would not be intensified under hydrogen limiting conditions, due to the higher electron competition capacity of N2O reduction in comparison to nitrate and nitrite reduction during hydrogenotrophic denitrification. The model is expected to enhance our understanding of the process during hydrogenotrophic denitrification and the ability to predict N2O accumulation. |
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000426493300016 |
Publication Date |
2017-12-14 |
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0006-3592 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Times cited |
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Open Access ![sorted by Open Access field, ascending order (up)](img/sort_asc.gif) |
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Call Number |
UA @ admin @ c:irua:149850 |
Serial |
8261 |
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Permanent link to this record |