Optimization of photosynthetic hydrogen yield from platinized photosystem I complexes using response surface methodology
Light-dependent hydrogen production by platinized Photosystem I isolated from the cyanobacterium Thermosynechococcus elongatus BP-1 was optimized using response surface methodology (RSM). The process parameters studied included temperature, light intensity and wavelength, and platinum salt concentra...
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Published in | International journal of hydrogen energy Vol. 36; no. 18; pp. 11684 - 11692 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier Ltd
01.09.2011
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | Light-dependent hydrogen production by platinized Photosystem I isolated from the cyanobacterium
Thermosynechococcus elongatus BP-1 was optimized using response surface methodology (RSM). The process parameters studied included temperature, light intensity and wavelength, and platinum salt concentration. Application of RSM generated a model that agrees well with the data for H
2 yield (
R
2 = 0.99 and
p < 0.001). Significant effects on the total H
2 yield were seen when the platinum salt concentration and temperature were varied during platinization. However, light intensity during platinization had a minimal effect on the total H
2 yield within the region studied. The values of the parameters used during the platinization that optimized the production of H
2 were light intensity of 240 μE m
−2 s
−1, platinum salt concentration of 636 μM and temperature of 31 °C. A subsequent validation experiment at the predicted conditions for optimal process yield gave the maximum H
2 yield measured in the study, which was 8.02 μmol H
2 per mg chlorophyll.
► We used RSM to optimize photosynthetic hydrogen yield from platinized Photosystem I complexes. ► We examined the effect of process variables on the rate of hydrogen production. ► Platinum concentration and temperature had a significant effect on H
2 yield. ► Data from the predicted optimum conditions validated the model predictions. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0360-3199 1879-3487 |
DOI: | 10.1016/j.ijhydene.2011.06.068 |