Ladislav Nedbal Department of Biological Dynamics Institute of Systems Biology & Ecology CAS Zámek 136, 37333 Nové Hrady, Czech Republic
Jan 28, 2016
Ladislav NedbalDepartment of Biological Dynamics
Institute of Systems Biology & Ecology CASZámek 136, 37333 Nové Hrady, Czech Republic
Solar biofuels from microorganisms, why not yet?
0 < (EFUEL –EM) / m2.year = (EEsolar - EM) / m2.yearEM… construction, maintenance, fertilizers, pumping, harvesting,
processing, refining, distribution…)
EM … biological and technological constraint (≈ € !!!)
Esolar … geographical constraint
CROP Corn Soybean Canola Jatropha Coconut Oil palm Microalgae Microalgae
OIL YIELD (l/ha)
172 446 1190 1892 2689 5950 136900 58700
70% and 30% oil in wet biomass (adapted from Y.Chisti (2007) Biotechnology Advances 25: 294-306)
Region SW USA NE USA UK
Lipid content 0.5 0.33 0.5 0.33 0.5 0.33
Biodiesel, gal/m2/year
1.24 0.82 1.06 0.71 0.77 0.52
With yields ≈ 1-2 gal(oil) / m2 / year and oil price < $3 / gal: the capital cost depreciation < several $ / year
Solar biofuels from microorganisms … continued …0 < (EFUEL –EM) / m2.year = (EEsolar - EM) / m2.year
EM… construction, maintenance, fertilizers, pumping, harvesting, processing, refining, distribution…)
EM … biological and technological constraint (≈ € !!!)Esolar … geographical constraint
E … thermodynamic, biological a technological constraint
Irradiance
Used
LostSolutions:- Decrease the antenna- Dilute the light technologically in space
- Dilute the light technologically in time
High density algal cultures
Cell light dynamics in dense algal cultures
Light dynamics in dense algal cultures
A.A.
B.B.
C.C.
Constant mean irradiance, variable period & L:D ratio
BB
Chlorella vulgaris500 E.m-2.s-1
Constant incident irradiance, variable period & L:D ratio
AA
Chlorella vulgarisI0=2000 E.m-2.s-1
1ms
continuous
100ms
1s
Constant incident irradiance, variable L:D ratio
AA
Chlorella vulgaris10 ms period
2400 E.m-2.s-1
1200
700
250
130
Constant incident irradiance, constant L:D, variable period
Chlorella vulgarisL:D=1:1, I0=2000 E.m-2.s-1
2400 E.m-2.s-1
1200
700
250
130
T
Rate of photoinhibition
L:D=1:1, I0=2000 E.m-2.s-1
T= 10ms
Cont. I0=1000 E.m-2.s-1
Electron transfer
Conclusions for flashing light effect in the ms-range:
1) per area yield increase in dense cultures & high irradiance
2) reduction of photoinhibition rates
Harmonic light forcing with periods > 1 s
harmonic light input
non-linear output
2 amplitudeT
offset
Simulation tool
Nedbal et al.(2008) Biotechnology & Bioengineering 100: 902-910.
Non-linear fluorescence responseContinuous light Oscillating light
Nedbal et al. (2003) Biochim.Biophys.Acta: Bioenergetics 1607: 5-17Nedbal, et al. (2005) Photosynth.Res. 84: 99–106
Non-linear response in dynamic light
Non-linear response caused by regulation
Non-linear response caused by regulation
Non-linear response caused by regulation
Non-linear response in growth C
onst
ant l
ight
T=10
s
T=10
0s
Con
stan
t lig
ht
Metabolic rhythms of the cyanobacterium Cyanothece sp. ATCC 51142 correlate with modeled dynamics of circadian clock.
Different L/D ratio.
Different L/D ratio.
Model prediction for circadian Kai clock confronted with metabolic dynamics in 12L: 12D
Model prediction for circadian Kai clock in 6L: 6D
Model prediction in 6L: 6D qualitatively confirmedby experiment
Modeling Tools
Models are able to simulate the non-linearity … poorly
Comprehensive modeling space, SBML, MIRIAM
…. soon to be continued
Thank you for your attention!
Collaborators:
Photon Systems Instruments, Brno, CZ
Jan Červený, Ondra Komárek, Víťa Březina from
Nové Hrady, CZ
Fusheng Xiong, Vláďa Tichý from Třeboň, CZ
Johann Grobbelaar, UOFS Bloemfontain, S.Africa
Himadri Pakrasi, WUSTL, St.Louis, USA
Govindjee, UIUC, Urbana, USA
Agu Laisk, Tartu, Estonia
Conrad Mullineaux, London, UK