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International Journal of Applied Environmental Sciences
ISSN 0973-6077 Volume 13, Number 1 (2018), pp. 27-38
© Research India Publications
http://www.ripublication.com
Modelling Interaction of CO2 Concentration and the
Biomass Algae Due to Reduction of Anthropogenic
Carbon Based on Predator-Prey Model
Ruly Budiono1, Hafizan Juahir2, Mustafa Mamat3,
Sukono4, Mohamad Nurzaman5
1,5Department of Biology, Faculty of Mathematics and Natural Sciences Universitas Padjadjaran, Bandung, Indonesia, 45363
2East Coast Environmental Research Institute (ESERI), Universiti Sultan Zainal Abidin,
Tembila Campus, 2200 Besut, Terengganu, Malaysia 3Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin
Tembila Campus, 2200 Besut, Terengganu, Malaysia 4Department of Mathematics, Faculty of Mathematics and Natural Sciences
Universitas Padjadjaran, Bandung, Indonesia, 45363
Abstract
The energy consumption produces 75% of Carbon Dioxide to the antropogenic
emission in the atmosphere. It causes a greatest impact in Climate change
during a recent century. These major factors lead not only scientist, but also
people all over the world to take into account in reducing the carbon emission.
One of the safest and sustainable ways to reduce the concentration of
anthropogenic carbon is to add a role of a biomass converter. Here, we
modeled the carbon consumption for the biomass production of phytoplankton
Nanochloropis oculata in a controlled fine-scale environment into simple
28 Ruly Budiono, Hafizan Juahir, Mustafa Mamat, Sukono, Mohamad Nurzaman
mathematical formulation based on predator and prey (lotka-Volterra) model.
We set him density of the biomass as ‘predator’ and the concentration of
carbon as ‘prey’. In the simulation result, the predator and prey model is fitted
with the data. The model is validated with the experimental data which will be
used for the provisional purposes that is to see the behavior of the
phytoplankton in reducing carbon in atmosphere. However, this is a
preliminary study that can be developed for further research.
Keywords: CO2 concentration, biomass energy, Nanochloropis oculata, predator and prey, mathematical modeling
INTRODUCTION
This research is intended to support the agreement reached in the climate change
conference in Paris, November 2015 (Paris Agreement) by 165 participating
countries. Where Indonesia is committed to reducing as soon as possible carbon
dioxide (CO2) emissions by 29% by 2030, or 41% reduction in carbon gas assisted by
developed countries in terms of limiting the average rise in global warming
temperature of 2̊ C and taking efforts to limit it to temperature average 1.5̊ C. With the
discovery of low-level plant species that quickly absorb / reduce carbon dioxide
emissions (CO2) waste so that carbon dioxide (CO2) wastes can be converted into
useful compounds in the plant body, which are renewable bioenergy / biofuel
feedstocks, food livestock, medicines, green economy-based oxygen producers [5].
The rapid absorption of carbon dioxide (CO2) emissions can support global warming
global warming. In the process of photosynthesis, the interaction of light, nutrients,
acidity (Ph), salinity, temperature and water can influence the growth rate of plants in
low levels so that the formation of compounds in plants maximum and carbon dioxide
(CO2) can be absorbed maximum. This supports the reduction of CO2 emissions can
be done transparently to support the carbon trading accounting system [4; 5].
One way to avoid and overcome the increase of carbon dioxide emissions is the
existence of an effort capable of fixation of carbon dioxide emission gas in the
atmosphere, using phytoplankton [1; 6]. Naturally green plants require (CO2) in the
air for photosynthesis. In addition to high levels of plants some types of
phytoplankton living in the sea and on land can also perform photosynthesis. Its great
potential as a raw material for renewable and renewable energy, phytoplankton may
also play a role in reducing atmospheric gas (CO2) emissions [10; 7].
Nannochloropsis sp. is a phytoplankton of a group of green algae. The cells are
ball-shaped with greenish color, small in diameter 2-8 μm [16; 17]. According to
Modelling Interaction of CO2 Concentration and the Biomass Algae Due… 29
Minillo et al. [11], mentions that the highest growth of Nannochloropsis sp. occurred
at pH 6.2-9.8. The pH range for growth of green phytoplankton is 7-9 .
In this research, test observations were performed to increase the production of cell
biomass Nannochloropsis oculata, by giving several concentrations of carbon dioxide
and different light intensity settings which can be judged most effective in its growth.
It is expected that this type of Nannochloropsis oculata can absorb and utilize carbon
dioxide effectively to increase the abundance of microalgae cell biomass, so as to
reduce carbon emissions in the atmosphere. With the application of photo bioreactor
technology and the use of different lights that are considered effective in supplying
media and culturing microalgae in the absorption of carbohydrate (CO2) gas both
during the day and night.
METHODOLOGY
Nanochloropsis oculata
Microalgae are the most primitive plant organisms that are resistant to
microorganisms, and live in all areas of sound, both fresh and marine. Microalgae are
classified as plants because they have chlorophyll and have a high-level cell network
[2]. The heat of nutrients that can be developed as a source of biodiesel feedstock
[10].
One type of microalga that can utilize carbon dioxide through photosynthesis is
marine microalgae namely Nannochloropsis sp. Described by Hernandes-Mireles et
al. [6] and Trevisan [15], that In addition to utilize CO2 from the atmosphere,
Nannochloropsis sp. is very important for humanity life. Nannochloropsis sp. can be
utilized to produce different types of biofuels or biofuels. Also explained by
Klinthong et al. [10], Nannochloropsis sp. has a high fat content that has the potential
to produce biofuel as an effort to handle the crisis of oil scarcity. In addition
Nannochloropsis sp. can become bioremediation. Bioremediation is the Restoration of
the environmental conditions of heavy metal pollution exploited by living creatures.
Nannochloropsis oculata is one type of marine microalgae that has an important role
in increasing the temperature of carbon dioxide CO2 exhaust gas [16]. Carbon dioxide
is capable of accelerating the growth of cell biomass content from Nannochloropsis
oculata. Using various types of light sources can be more effective in the
photosynthesis process of Nannochloropsis oculata because it corresponds to the
amount of energy that the microalgae can accept for its growth process [12; 14].
30 Ruly Budiono, Hafizan Juahir, Mustafa Mamat, Sukono, Mohamad Nurzaman
Experimental Study
The study was conducted in three stages consisting of: preparation stage including
Walne's medium manufacturing process, second stage including biomass harvesting
process, and lastly the calculation of carbon dioxide absorption absorbed by
Microalga Nannochloropsis oculata. Provision of fertilizer is done during cultivation.
Walne fertilizer is very beneficial for the growth of Nannochloropsis sp because
walne fertilizer contains vitamin B12 and B1 as well as trace elements with
composition ZnCl2, CaCl2, (NH4) 6, CuSO4 [13].
This test is done for 1 year. All tests are performed by repetition of 3 (three) times. The
treatment in this research is giving of Walne and vitamin fertilizer media. Walne doses
are used based on trials that have been done BBPBAP Jepara and the dose is commonly
used for culture Nannochloropsis sp. in the Natural Feed Division, Center for Brackish
water Aquaculture Development, Jepara
Data Analysis
The research method used a randomized block design (RAK) with four variables of
CO2 flow treatment i.e. CO2 15G / M / 1JAM / 3x, CO2 30G / M / 1JAM / 3x, CO2
60G / M / 1JAM / 3x and three treatment 4 intensity of fluorescent lamp lamp (TL)
9000 LUX, 7000 LUX, 3000 LUX and Indirect Sunlight. The growth and cell
biomass test of Nannochloropsis oculata using the Walne breeding nutritional
medium. Carbohydrate content was analyzed by luff schoorli method, fat with
soxhlex method, protein with Kjeldahl and Lowry method. Calculation of cell
abundance using Haemocytometre count method was followed by calculation of
specific growth rate miu μ [9]. The data obtained will be analyzed by statistical test,
with ANOVA test with 5% error rate. Thus, it can be known that the inhibition of
carbon dioxide (CO2) with various treatment of light source to growth.
Nannochloropsis oculata culture is conducted on a laboratory scale. During the
culturing process, N. oculata is highly dependent on the availability of temperature,
aeration, pH, nutrient formulas, light intensity, and carbon dioxide. With culture
media pH ranging from 8-9, with optimum pH 8.5-9. The intensity of light (lux) used
at 3000lux and 9000lux was performed on a 24 hour light treatment [10; 16].
Growth Test and Cell Biomass on Nannochloropsis oculata with Walne medium
Nannochloropsis oculata seeds as much as 1L with cell density of 1 x 106 cells / ml
cultured on culture container volume 2 L. Then given medium as culture growth with
Modelling Interaction of CO2 Concentration and the Biomass Algae Due… 31
medium Walne. The observation of the abundance of microalgae cells from each
study jar was done every day. The calculation of cell abundance using
Haemocytometer and microscope is observed for 24 hours once [2].
The content of dissolved carbon dioxide in water can be calculated using titration
method by Boyd in 1988. The calculation of abundance of microalga cells In addition
to calculating the abundance of microalgae cells, also calculated the specific growth
rate μ [9].
0
0ln(ln
TTNN
t
t
. (1)
Calculation of growth of phytoplankton cell Nannochloropsis oculata. N is density of
cell. C is constant improved neubauer (5.104)
CNND
2
)( 21 . (2)
Test Value Concentration of dissolved carbon dioxide Cell biomass in
Nannochloropsis oculata with medium Walne
Carbon concentration dissolved is calculated using following formula of Boyd in 1982.
VlpNm
2CO . (3)
Where m is the tittrant volume of NaOH, p is molarity of CO2, V and l is water
volume. N is constant (0.0227). While the biomass density are calculated using
following formula
)me(cultureolu
)drymass(Biomass
lgr
. (4)
The analysis was statistically performed by the ANOVA and Duncan test. ANOVA
(Analysis of Variance) test was conducted to determine the real effect of treatment on
the variables studied [9].
RESULT AND DISCUSSION
Nannochloropsis oculata culture is done on a laboratory scale. During the culturing
process, N. oculata relies heavily on the availability of temperature, aeration, pH,
nutrient formulas, light intensity, and carbon dioxide. With culture media pH ranging
32 Ruly Budiono, Hafizan Juahir, Mustafa Mamat, Sukono, Mohamad Nurzaman
from 8-9, with optimum pH 8.5-9. The intensity of light (lux) used at 3000 lux and
9000 lux was performed on a 24 hour light treatment.
By applying 15% CO2 concentration with CO2 gas flow rate (0.0199 g / l / m) at 180
buble / hour and 35% carbon dioxide injection with CO2 gas flow rate (0.0599 g / l /
l), speed 480 buble / hour, it is applied nutrition formula Walne every 2 days once as
much as 1 ml. Growth of nannochloropsis oculata performed for 21 days has
increased, with the number of cells abundance in each treatment has different values.
On the 3rd day until the 11th day, there is a steady increase with the condition of
almost balanced growth value, this phase is called lag phase. The lag phase is
characterized by an insignificant increase in density.
Figure 1. 15% CO2 concentration a gas flow rate (0.0199 g / l / m) at 180 buble / hour
and 35% carbon dioxide injection with CO2 gas flow rate (0.0599 g / l / l) speed 480
buble / hour. Performed nutrition formula Walne every 2 days once as much as 1 ml.
1.43
2.00
2.552.76
3.32
4.80
6.02 5.995.83
6.02
1.26
1.651.85
2.05
2.64
4.19
5.024.87
5.074.82
1.65 1.76
2.18 2.18
2.97
3.75
4.294.02
5.02 4.98
1.351.56
1.76 1.88
2.95
3.61
4.153.88
5.01 5.02
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
3th 5th 7th 9th 11th 13th 15th 17th 19th 21th
Average Growth Rate of Nannochloropsis oculata (million cells)
9000 lux (treatment) 3000 lux (treatment)
9000 lux (control) 3000 lux (control)
Modelling Interaction of CO2 Concentration and the Biomass Algae Due… 33
CO2 absorption by the Phytoplankton
Figure 2. CO2 Absorption by the phytoplankton for every light intensity
Based on the graph above, the concentration of dissolved carbon dioxide is directly
proportional to the cell biomass productivity. This means that the higher the
absorption of carbon dioxide the greater the rate of biomass productivity. And the
lower the uptake of carbon dioxide, the lower the biomass productivity. for best
growth occurs at carbon dioxide concentration 35% CO2 / 2kg CO2 with light
intensity 9000 lux in 1 l / minute yielded percentage of optimal absorbed CO2 that is
equal to 0,73245 g / l, and for treatment with concentration of 15% CO2 / 2kg CO2
with light intensity 3000 lux, that is equal to 0,5327 g / l. Meanwhile, for the
treatment of light intensity control 3000 lux and 9000 lux 0% CO2, no soluble carbon
dioxide uptake analysis was done with 0% CO2 percentage.
The results of Nannochloropsis oculata's ability to absorb carbon dioxide tend to be
good, compared with previous research, Okryreza et al. (2013), percentage of carbon
dioxide uptake in some fioplanktons, namely Chlorella vulgaris (0.551 g / l),
Chlamydomonas sp. (0.052 g / l), and Spirulina sp. of (0.891 g / l). It is known that
the highest percentage of carbon dioxide absorption (CO2) is Spirulina sp. which is
able to absorb carbon dioxide (CO2) optimally. This is possible, because Spirulina sp.
is a type of blue-green pigment algae that has better adaptability than Chlorella
vulgaris, Chlamdomonas sp. as well as Nannochloropsis oculata which is a green
0.73245
0.46611
0 0
0.98667
0.8
0.453330.4
0
0.2
0.4
0.6
0.8
1
1.2
0 1 2 3 4
(g/l
)
Intensitas Cahaya (lux)
Relation between dissolved carbon and biomass production
Titrasi
Biomassa
Linear(Titrasi)
Linear(Biomassa)
34 Ruly Budiono, Hafizan Juahir, Mustafa Mamat, Sukono, Mohamad Nurzaman
pigmented algae. Based on these results, not the same as the results of research that
has been done by Klinthong et al. [10].
Effect of Light Intensity on Biomass Production Growth
Based on the results obtained from this study, increased production of biomass growth
occurs in the exponential phase. In the exponential phase occurs cell division up to
two-fold, so that from the optimal growth results, it can be known that the number of
biomass N. oculata is increasing. The highest biomass increase occurred in the final
exponential phase, i.e.on the 15th day at the treatment of 9000 lux 35% CO2 / 2kg
CO2 with an increase of 0.9867 g / l.
Figure 3. Biomass production in Exponential Phase
Meanwhile, for the lowest biomass increase occurred in the final exponential phase,
i.e. on the 15th day on the control treatment 3000 lux 0% CO2. By giving
concentration of optimal lux intensity, it is effective for the absorption process of
carbon dioxide as to increase growth rate and production of cell biomass
Nannochloropsis oculata. In accordance with the results obtained by Hirata et al.,
(1996) which mentions that the higher the intensity of light given the higher growth
rate of phytoplankton cells are consistent as well as to the maximum point.
Modelling the Experimental Data
Here, the Nanochloropis oculata has been experimented as the ‘Predator’ of the ‘Prey’
Carbon (CO2) Concentration to produce the biomass energy. The in vitro data of the
Modelling Interaction of CO2 Concentration and the Biomass Algae Due… 35
experiment is used for built a mathematical model based on Lotka-Volterra in 1926
[15]. In this work we propose a model to predict the increase of biomass density due
to CO2 concentration, considering the plant-atmospheric carbon interaction. Basically
we first obtain an experiment data considering the grows of the Nanochloropis oculata with controlled light density and evaporation. This data is then to be used for
built the mathematical model based on modification of Lotka-Volterra predator-prey
model. This research is to draws a provision of the interaction between the biomass
plant and the anthropogenic carbon in the atmosphere, with the equations is:
aCvNdtdC
. (5)
),( TLfNAeCdtdN
. (6)
We consider the carbon concentration as prey, while the biomass density is predator.
The carbon concentration (mg/l) is denoted by C which depends on adduction rate a (mg/days). The vegetal biomass distribution v is proportional to the density of
produced phytoplankton N (ppm). A (t) is the parameter related to the in vitro treatment such as the light density L and the temperature T. The T0 is room
temperature:
TT
bLTTLA0126
),(
. (7)
The sampled experimental data for 25 days is presented below (controlled light
density of 9000 Lux at room temperature (250).
Figure 4. The experimental data vs the predicted model
36 Ruly Budiono, Hafizan Juahir, Mustafa Mamat, Sukono, Mohamad Nurzaman
Based on the results obtained from the simulation, the proposed model may represent
the results of a carbon conversion experiment into biomass with plankton media. Can
be seen in experimental data of carbon concentration, the fit simulation model is near
perfect. On the other hand, biomass density simulation faces little problem in
emulating experimental data. This occurs because the biomass experimental data is
slightly anomalous in the modeling. There may be several in vitro factors during the
chemical treatment, in the experimental sample. However, in this real case it is within
reasonable limits.. More result can be seen in full paper
CONCLUSION
Based on the result of research, it can be concluded that: The higher concentration of
carbon dioxide and the intensity of light (lux) given the higher the rate of growth and
production of cell biomass Nannochloropsis oculata. Carbon dioxide concentration
35% CO2 / 2kg CO2 and light intensity 9000 lux effective in accelerating cell growth
rate of 6,025.000 cell / ml and increase cell biomass production rate of
Nannochloropsis oculata equal to (0,9867 g / l) with absorbance value equal to (1, 23
Abs). With the concentration of dissolved carbon dioxide (0.735 g / l). The
mathematical model has been proposed to the experimental data of CO2 by the
phytoplankton. The result shows that the model is well fitted for the first 21 days of
data. However, we need more data to validate the model in term of building a robust
model prediction.
ACKNOWLEDGEMENTS
We acknowledge to the Rector, Director of DRPMI, and Dean of FMIPA, Universitas
Padjadjaran, which has a grant program of the Riset Fundamental Unpad which
supports to increase research activities and publications to researchers at the
Universitas Padjadjaran.
REFERENCES
[1] Ali, A.M.A.S., Vignesh, S., Boomapriya, B., and Prasanya, D., 2016,
Feasibility Study on Carbon Sequestration Using Algae, International Research Journal of Engineering and Technology (IRJET), Volume: 03 Issue:
06 | June-2016. www.irjet.net.
[2] Aslam, A. and Mughal, T.A., 2016, A Review on Microalgae to Achieve
Maximal Carbon Dioxide (CO2) Mitigation from Industrial Flue Gases,
Modelling Interaction of CO2 Concentration and the Biomass Algae Due… 37
International Journal of Research in Advent Technology, Vol.4, Issue 9,
September 2016, E-ISSN: 2321-9637. Available online at www.ijrat.org
[3] Berge, T., Daugbjerg, N., and Hansen, P.J., 2012, Isolation and
cultivation of Microalgae Select for Low Growth Rate and Tolerance
to High pH, Harmful Algae, 20 (2012), 101 – 110. ww w.els evier.c o m/lo cat
e/hal.
[4] Cheng, W-H. and Chou, M-S., 2016, Optimization of Gas-Water Absorption
Equilibrium of Carbon Dioxide for Algae Liquors: Selection of Alkaline
Buffering Chemicals, Hindawi Publishing Corporation, International Journal of Photoenergy, Volume 2016, Article ID 2562638, 5 pages.
http://dx.doi.org/10.1155/2016/2562638.
[5] Erbach, G., 2016, The Paris Agreement A New Framework for Global Climate
Action. EPRS | European Parliamentary Research Service., PE 573.910.
[6] Gaikwad, R.W., Gudadhe, M.D., and Bhagat, S.L., 2016, Carbon Dioxide
Capture, Tolerance and Sequestration Using Microalgae A Review,
International Journal Of Pharmaceutical, Chemical And Biological Sciences
(IJPCBS) 2016, 6(3), 345-349. www.ijpcbs.com
[7] Hallegraeff, G.M. 2010, Ocean Climate Change, Phytoplankton Community
Responses, and Harmful Algal Blooms: A Formidable Predictive Challenge, J. Phycol. 46, 220–235 (2010), @2010 Phycological Society of America. DOI:
10.1111/j.1529-8817.2010.00815.x
[8] Hernandez-Mireles, I., van der Stel, R., and Goetheer, E., 2014, New
Methodologies for Integrating Algae with CO2 Capture, Energy Procedia
63 ( 2014 ) 7954 – 7958.
[9] Ibrahima, M., Skaugenb, G., and Ertesvåg, I.S., 2014, Modelling CO2 –Water
Thermodynamics Using SPUNG Equation of State (EoS) concept with
Various Reference Fluids, Energy Procedia 51 ( 2014 ) 353 – 362. Available
online at www.sciencedirect.com
[10] Klinthong, W., Yang, Y-H., Huang, C-H., and Tan, C-S., 2015, A Review:
Microalgae and Their Applications in CO2 Capture and Renewable Energy,
Aerosol and Air Quality Research, 15: 712–742, 2015. Copyright © Taiwan
Association for Aerosol Research, ISSN: 1680-8584 print / 2071-1409 online.
doi: 10.4209/aaqr.2014.11.0299
[11] Minillo, A., Godoy, H.C., and Fonseca, G.G., 2013, Growth Performance of
Microalgae Exposed to CO2, Journal of Clean Energy Technologies, Vol. 1,
38 Ruly Budiono, Hafizan Juahir, Mustafa Mamat, Sukono, Mohamad Nurzaman
No. 2, April 2013. DOI: 10.7763/JOCET.2013.V1.26
[12] Salih, F.M., 2011, Microalgae Tolerance to High Concentrations of Carbon
Dioxide: A Review, Journal of Environmental Protection, 2011, 2, 648-654.
doi:10.4236/jep.2011.25074 Published Online July 2011
(http://www.scirp.org/journal/jep).
[13] Sharmila,K., Ramya,S., and Ponnusami, B.A., 2014, Carbon sequestration
using microalgae-a Review, International Journal of ChemTech Research,
CODEN (USA): IJCRGG, ISSN : 0974-4290, Vol.6, No.9, pp 4128-4133,
September 2014.
[14] Singh, S.P. and Singh, P., 2014, Effect of CO2 Concentration on Algal
Growth: A Review, Renewable and Sustainable Energy Reviews, 38 (2014)
172–179. www.elsevier.com/locate/rser.
[15] Trevisan, L.A., 2008, Prey-Predator Modeling Of CO2 Atmospheric
Concentration, Working Paper, Departamento de Matemática e Estatística,
Universidade Estadual de Ponta Grossa, Avenida Carlos Cavalcante 4748.
[16] Van Wagenen, J., Miller, T.W., Hobbs, S., Hook, P., Crowe, B., and
Huesemann, M., 2012, Effects of Light and Temperature on Fatty Acid
Production in Nannochloropsis Salina, Energies 2012, 5, 731-740;
doi:10.3390/en5030731.
[17] Zhang, X., 2015, Microalgae Removal of CO2 from Flue Gas, IEA Clean Coal
Centre, April 2015, ISBN: 978–92–9029–572-3.