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Growth, CO 2 consumption and H 2 production of Anabaena variabilis ATCC 29413‐U under different irradiances and CO 2 concentrations
Author(s) -
Berberoğlu H.,
Barra N.,
Pilon L.,
Jay J.
Publication year - 2008
Publication title -
journal of applied microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.889
H-Index - 156
eISSN - 1365-2672
pISSN - 1364-5072
DOI - 10.1111/j.1365-2672.2007.03559.x
Subject(s) - anabaena variabilis , irradiance , saturation (graph theory) , scaling , growth rate , kinetic energy , production (economics) , chemistry , analytical chemistry (journal) , environmental science , environmental chemistry , biology , mathematics , physics , cyanobacteria , optics , genetics , geometry , macroeconomics , combinatorics , quantum mechanics , bacteria , economics
Abstract Aims: The objective of this study is to develop kinetic models based on batch experiments describing the growth, CO 2 consumption, and H 2 production of Anabaena variabilis ATCC 29413‐U TM as functions of irradiance and CO 2 concentration. Methods and Results: A parametric experimental study is performed for irradiances from 1120 to 16100 lux and for initial CO 2 mole fractions from 0·03 to 0·20 in argon at pH 7·0 ± 0·4 with nitrate in the medium. Kinetic models are successfully developed based on the Monod model and on a novel scaling analysis employing the CO 2 consumption half‐time as the time scale. Conclusions: Monod models predict the growth, CO 2 consumption and O 2 production within 30%. Moreover, the CO 2 consumption half‐time is an appropriate time scale for analysing all experimental data. In addition, the optimum initial CO 2 mole fraction is 0·05 for maximum growth and CO 2 consumption rates. Finally, the saturation irradiance is determined to be 5170 lux for CO 2 consumption and growth whereas, the maximum H 2 production rate occurs around 10 000 lux. Significance and Impact of the Study: The study presents kinetic models predicting the growth, CO 2 consumption and H 2 production of A. variabilis . The experimental and scaling analysis methods can be generalized to other micro‐organisms.