This document summarizes research on the microbial parameters that influence biogas production. The research aims to better understand the complex microbial communities involved in anaerobic digestion by studying different biomasses, digestates, and process parameters. Experiments using an Automatic Methane Potential Test System showed reproducible biogas production from maize but no significant difference between digestates. Future work will examine adapted versus non-adapted digestates and changes in microbial communities in lab-scale bioreactors. The researchers also plan to study key enzyme mRNA to identify microorganisms linked to methanogenesis. The overall goal is to optimize digestates for different biomasses to increase biogas yields.
bioprocess technology deals with the culture of microbes in large scale level.online measurements helps in determining the concentration of organisms in the bioreactor. spectro photometer ,fluorescence microscopy and capacitance based biomass monitor are most common methods used inonline measurement
Impacts
Farmers, product manufacturers, policy makers, teachers, students and the general public will be better informed about sustainable management practices for dairy.
Greenhouse gas emissions from all components of the dairy production cycle (cow, manure, and soil management) will be reduced.
Beneficial management practices will be adopted in dairy production systems to increase resilience to climate change.
Viral assay means determination of number of viral particles per unit volume of a sample.
Through this slide the role of redioactivity in viral assay is described.
bioprocess technology deals with the culture of microbes in large scale level.online measurements helps in determining the concentration of organisms in the bioreactor. spectro photometer ,fluorescence microscopy and capacitance based biomass monitor are most common methods used inonline measurement
Impacts
Farmers, product manufacturers, policy makers, teachers, students and the general public will be better informed about sustainable management practices for dairy.
Greenhouse gas emissions from all components of the dairy production cycle (cow, manure, and soil management) will be reduced.
Beneficial management practices will be adopted in dairy production systems to increase resilience to climate change.
Viral assay means determination of number of viral particles per unit volume of a sample.
Through this slide the role of redioactivity in viral assay is described.
Optimization of biogas yield by optimizing the relative composition of each s...Mohammadali Mozafarian
The anaerobic digestion (AD) process is a consolidated industrial approach to produce biogas from organic matrices. AD process can be performed either by using mono substrate digestion or co-digestion of different substrates. The latter strategy has some advantages over the mono substrate AD process, including macro/micro nutrition balance. However, the feedstock mixture generally affects the biogas production. Thus, preliminary tests dedicated to determine the best relative substrate amounts are
typically carried out.
The present study was performed to evaluate the employment of statistical approach to set up such preliminary tests. The design of experiment, response surface methodology (RSM) and specifically mixture design were used to define the experiments, whose aim was optimizing a response variable (biomethane production) related to the co-digestion of grape pomace, olive mill wastewater, and corn stover.
The design points were set up according to the augmented simplex centroid design on the vertices, edges, and interior of the triangle representing the pure, binary and mixture of the three substrates, respectively. The batch assays were performed in triplicate under a thermophilic condition at 50?C using a methanogenic inoculum and the experiment lasted 76 days. The analysis was performed three times per week in order to measure the produced biogas. A statistically significant polynomial model was developed according to the experimental results obtained from the design points and the optimization was performed considering the obtained model.Finally, the obtained optimal point suggested being consistent with the experimental results, which proved the significance of the method and final model.
Optimization of biogas yield by optimizing the relative composition of each s...Mohammadali Mozafarian
The anaerobic digestion (AD) process is a consolidated industrial approach to produce biogas from organic matrices. AD process can be performed either by using mono substrate digestion or co-digestion of different substrates. The latter strategy has some advantages over the mono substrate AD process, including macro/micro nutrition balance. However, the feedstock mixture generally affects the biogas production. Thus, preliminary tests dedicated to determine the best relative substrate amounts are
typically carried out.
The present study was performed to evaluate the employment of statistical approach to set up such preliminary tests. The design of experiment, response surface methodology (RSM) and specifically mixture design were used to define the experiments, whose aim was optimizing a response variable (biomethane production) related to the co-digestion of grape pomace, olive mill wastewater, and corn stover.
The design points were set up according to the augmented simplex centroid design on the vertices, edges, and interior of the triangle representing the pure, binary and mixture of the three substrates, respectively. The batch assays were performed in triplicate under a thermophilic condition at 50?C using a methanogenic inoculum and the experiment lasted 76 days. The analysis was performed three times per week in order to measure the produced biogas. A statistically significant polynomial model was developed according to the experimental results obtained from the design points and the optimization was performed considering the obtained model.Finally, the obtained optimal point suggested being consistent with the experimental results, which proved the significance of the method and final model.
Flexigas symposium 20130415 hanzehogeschool - gert hofstede
1. Parameters of biogas production:
the microbial connection
Gert J.H.Hofstede, Expertise Centre ALIFE, Institute for Life Sciences and Technology,
HanzeUniversity of Applied Sciences, Groningen, the Netherlands
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3. Parameters of biogas production: the microbial connection
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Dr. Ir. Jan Peter Nap
(lector)
Dr. Folkert Faber
(senior lecturer)
Brian Wouterse
(trainee)
4. Parameters of biogas production:
the microbial connection
In the Netherlands:
About ~180 biogas installations.
In these installations manure and residual
materials are (co-)digested.
0,5 billion (=109) m3 biogas is produced
Green electricity can be generated.
Current situation:
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5. Parameters of biogas production:
the microbial connection
Current situation:
Relatively limited knowledge on the complex
community of microorganisms
The economy of biogas plants does not allow
failure (cleaning and restarting)
Fairly conservative enterprise
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6. Parameters of biogas production:
the microbial connection
Why this research ?
The use of defined digestate of microorganisms
targeted towards the feedstock might speed up
biogas production.
Opening the microbial black box is supposed to
increase biogas yield and the overall process
efficiency.
The overall objective of this research is to describe
the microbial community that participates in the AD
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7. Parameters of biogas production:
the microbial connection
Have different biomasses distinct biomethane
potentials?
Are different methanogenic communities,
responsible for biogas production?
Is the methanogenic community influenced by
different environments and different process
parameters?
Research question
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8. Parameters of biogas production: the microbial connection
Experimental tools
Automatic Methane Potential Test System
(AMPTSII) batch
2 Labscale bioreactor (10 l, Infors)
continuous
Molecular techniques (qPCR )
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9. Parameters of biogas production: the
microbial connection
AMPTSII, bioprocescontrol
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10. Parameters of biogas production: the microbial connection
AMPTSII-experiments:
Reproducibility
3 different digestates
2 types of biomass
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11. Parameters of biogas production: the microbial connection
General setup: 15 bottles, 1 type of biomass
(maize), 1 type of digestate (Proces B.V) ,
30 days
Digestate to biomass ratio of 1:1 (based on
% Organic Dry Matter [ODM]) was used.
General set up of
AMPTSII assays
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12. Parameters of biogas production: the microbial connection
Conclusion
The AMPTSII yields reproducible
results, both in terms of total gas
volume and in terms of methane
production
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13. Parameters of biogas production: the microbial connection
Conclusion:
No significant difference between
total biogas productions from
maize by different types of digestates
( Donderen, Lutjegast en Tolbert).
(ANOVA, one-tail, p=0.05).
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14. Parameters of biogas production: the microbial connection
Future-plans:
In future experiments, we will look the
biogas flow-rate with for example
‘biomass adapted digestates’ the
digestate (Proces B.V) was not
adapted to maize.
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16. Parameters of biogas production: the microbial connection
Biogasplants (F1 and F2)
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17. Parameters of biogas production: the microbial connection
The overall objective of this research is to
determine the relative changes in microbial
community that participates in the anaerobic
digestion on a Labscale Infors bioreactor
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18. Parameters of biogas production: the
microbial connection
Methanogens, the biological generators of methane
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19. Parameters of biogas production: the microbial connection
FastRNA® SPIN KIT for SOIL
Total DNA and RNA isolation
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20. Parameters of biogas production: the microbial connection
Primer combinations used in this study
for monitoring the population
dynamics of methanogens in biogas
plants
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21. Parameters of biogas production: the microbial connection
This study revealed the limitation of the qPCR
due to the primers. in silico by the RDP-site
Experimental circumstances probably
influence the ‘reference’ Archaea population
Conclusion/discussion
Commonly used primers in literature should
be reconsidered in the light of expanding data
in RDP
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22. Parameters of biogas production: the microbial connection
Since available primers may not be applicable
to all samples,there is a requirement to design
more primers to ensure adequate coverage
and amplification of methanogens.
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Conclusion/discussion
23. Parameters of biogas production: the microbial connection
Therefore, we also look to at another
approach: mRNA of (key-) enzymes that play a
role in the methanogenesis :
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Together with Marina Gil Lopez from the
Universitat de Barcelona we did the first
experiments on RNA
24. Parameters of biogas production: the microbial connection
Identification of Enzymes Involved in synthesis
of biogas
The challenge is to find (key-)enzymes that
can be linked to (specific methanogenic)
micro-organisms.
as key enzymes can be linked to micro-
organisms, relative amounts of micro organisms
can be calculated.
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25. Parameters of biogas production: the microbial connection
The future for me? I will end up with a
bucket full of digestate (or micro-
organisms) optimized for every biomass.
That is applied science in my opinion
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