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Optimization of lutein production with mixotrophic
cultivation of an indigenous microalga
Reporter: Chen-Chun Liu (劉振群)
Advisor: Jo-Shu Chang
Date: June 26, 2014
2
Outline
• The background
• Research overview
• Results and discussion
• Conclusion
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
The Background
of this study
Microalga
Lutein
Microalgae as promising feedstock for lutein production
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
3
The Background ─ Microalga
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
4
• Transform the sunlight into chemical
energy via photosynthesis
• Various essential nutrients, such as
DHA, EPA, protein, and pigments
GH-B4
The Background ─ Lutein
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
5
Photosynthetic pigments
Chlorophylls Carotenoids
Xanthophylls
(CxHyOz)
• Photosynthesis pigments
• Classified into xanthophylls, because its structure
consists of two hydroxyl functional groups
The Background ─ Lutein
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
6
Diseases Preventing mechanisms by lutein
Xerophthalmia Quenching active oxygen species
Age macular degeneration Protect cells from blue light-induced
damage and scavenge free radicals
Colorectal cancer N.A.
Light-induced erythema Filtering of blue light and scavenging
reactive intermediates
Cardiovascular diseases Protect against the development of early
atherosclerosis
Reference: Brown, 2008; Slattery et al., 2000; Mares-Perlman et al., 2002
The Background
─ Microalgae as promising feedstock for lutein production
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
7
1) No limitation of seasonal harvesting
2) Higher growth rate than marigolds
3) Sufficient lutein content inside biomass
4) High lutein productivity
5) Existence of lutein in free form
6) No need for an extra separating step in
comparison with other plants
Source Lutein content
(μg/100g)
Egg yolk 384-1320
Broccoli 710-3300
Carrot 170-650
Lettuce 1000-47806
Orange 64
Papaya 38
Spinach 5930–7900
Corn 2190
Tomato 10-200
Marigold (Tagetes erecta L.) 30000
Microalgae 300000-700000
10 time ↑
Present source
Promising source
Reference: Abdel-Aal et al., 2013; Del Campo
et al., 2007; Fraser & Bramley, 2004;
Hammershøj et al., 2010
Research overview
of this study
The Schematic Diagram of Research
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
8
The Schematic Diagram of Research
9
Semi-batch integrated
with two-stage
Microalga Strain
Medium Optimizing Engineering StrategiesLight Intensity
Semi-batch
RSM of C/N
RSM of Trace metal
Medium Choice
Optimizing of cultivation condition for lutein production The use of engineering strategies to enhance
the performance on lutein production
1) Two-level factional factorial design
2) Steepest ascent
3) Central composite design
4) Confirmed experiment
1) Central composite design
2) Confirmed experiment
RSM:
Response surface
methodology
Results and discussion
of optimal condition for cultivation
Microalgal Strain Selecting
Suitable Medium Chosen
Effect of Sodium Acetate Concentration, Effect of Sodium Nitrate Concentration, RSM
Two-level Fractional Factorial Experimental Design, Steepest Ascent Method, RSM
Effect of light intensity
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
10
Microalgal Strain Selecting
- Condition of experiments
Microalgal strain:
Chlorella sp.
Scenedesmus abundans GH-D11
Scenedesmus obliquus AS-6-1
Chlorella sorokiniana HCH-2
Operated system:
Mixotrophic cultivation, 1L batch
Media:
BG-11 medium
Organic carbon source:
3 g/L sodium acetate
Nitrogen source:
1 g/L sodium nitrate
Light intensity:
150 mmol/m2/s
(TL5, Fluorescent lamp)
Inoculum size:
0.04 g/L
Aeration:
0.2 vvm with 2.5% CO2
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
11
Microalgal Strain Selecting
- The procedure of experiments
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
12
Microalga isolation Acetate-tolerant strains
Chlorella sp.
Chlorella
sorokiniana
Scenedesmus
abundans
Scenedesmus
obliquus
Mixotrophic cultivation
Objective:
1) The strain was higher tolerance of acetate,
2) and had potential to produce lutein
Microalgal Strain Selecting
- Summary of experimental data
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
13
Strain Cultivation
time*
(d)
Maximal specific
growth rate
(1/d)
Biomass
Productivity*
(g/L/d)
Lutein
Content*
(mg/g)
Maximal Lutein
productivity*
(mg/L/d)
Chlorella sp. 1.0 2.263 1.10 2.55 2.79
HCH-2 1.2 1.320 0.66 3.65 2.42
GH-D11 2.5 1.042 0.53 3.83 2.01
AS-6-1 2.0 1.071 0.53 1.80 0.95
The highest performance
Batch
cultivation
Find out
its optimal conditions
*calculated on the period of maximal lutein productivity
Suitable Medium Choice
- Condition of experiments
Microalgal strain:
Chlorella sp.
Operated system:
Mixotrophic cultivation, 1L batch
Media:
Basal medium
modified Bold Basal medium (MBBM)
modified Bristol's medium (MBM)
Blue Green medium (BG-11)
Organic carbon source:
3 g/L sodium acetate
Nitrogen source:
1 g/L sodium nitrate
Light intensity:
150 mmol/m2/s
(TL5, Fluorescent lamp)
Inoculum size:
0.04 g/L
Aeration:
0.2 vvm with 2.5% CO2
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
14
Suitable Medium Choice
- Summary of experimental data
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
15
Medium Maximal specific
growth rate
(1/d)
Biomass
productivity*
(g/L/d)
Lutein
content*
(mg/g)
Maximal lutein
productivity*
(mg/L/d)
COST
BM 2.133 1.23 1.78 2.19 High
MBM 2.497 1.35 2.30 3.09 Low
MBBM 2.377 1.29 2.29 2.96 Medium
BG-11 2.628 1.32 2.57 3.39 Low
*calculated on the period of maximal lutein productivity
Suitable Medium Choice
- Conclusion of medium choice
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
16
Ion
optimum
C/N optimum
Medium choice
BG-11 medium
1) was suitable for growth and has better lutein performance of
production.
2) the chemical cost of BG-11 was the lowest among these medium
Carbon and Nitrogen Optimizing
- The procedure of the optimum of acetate and nitrate concentration
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
17
Response
Surface Methodology
Effect of
Substrate Concentration
Confirmation of
RSM model
Carbon and Nitrogen Optimizing
- Effect of substrate concentration
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
18
Response
Surface Methodology
Effect of
Substrate Concentration
Confirmation of
RSM model
Sodium acetate concentration (g/L)
0 2 4 6 8 10 12
Luteinproductivity(mg/L/d)
1.0
1.5
2.0
2.5
3.0
3.5
Sodium nitrate concentration (g/L)
0.0 0.5 1.0 1.5 2.0 2.5 3.0
Luteinproductivity(mg/L/d)
2.8
3.0
3.2
3.4
3.6
3.8
Carbon and Nitrogen Optimizing
- Experimental design matrix of RSM of acetate and nitrate
R
u
n
Comment Code value Real value RV
X31 X32 𝝃31
(g/L)
𝝃32
(g/L)
Y3
(mg/L/d)
1 FF -1 -1 3 1.5 3.60
2 FF -1 1 3 2.5 3.49
3 FF 1 -1 9 1.5 2.71
4 FF 1 1 9 2.5 3.07
5 Axial -1 0 3 2.0 3.60
6 Axial 1 0 9 2.0 2.64
7 Axial 0 -1 6 1.5 3.89
8 Axial 0 1 6 2.5 3.08
9 Center-Ax 0 0 6 2.0 3.66
10 Center-Ax 0 0 6 2.0 3.78
11 Center-Ax 0 0 6 2.0 4.06
12 Center-Ax 0 0 6 2.0 4.06
13 Center-Ax 0 0 6 2.0 4.21
X31, 𝜉31, quantity of acetate; X32, 𝜉32, quantity of nitrate; Y3, maximal lutein productivity
19
2.4
2.6
2.8
3.0
3.2
3.4
3.6
3.8
4.0
4.2
4.4
3
4
5
6
7
8
9
1.6
1.8
2.0
2.2
Luteinproductivity(mg/L/d)
Sodium acetate (g/L)
Sodium
nitrate (g/L)
Carbon and Nitrogen Optimizing
- The procedure of optimum of sodium acetate and sodium nitrate
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
20
Response
Surface Methodology
Effect of
Substrate Concentration
Confirmation of
RSM model
Optimum value:
Sodium acetate concentration: 4.88 g/L
Sodium nitrate concentration: 1.83 g/L
Maximal lutein productivity: 3.96 mg/L/d
Carbon and Nitrogen Optimizing
- The procedure of optimum of sodium acetate and sodium nitrate
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
21
Response
Surface Methodology
Effect of
Substrate Concentration
Confirmation of
RSM model
Biomassproduction(g/L)
0.0
0.5
1.0
1.5
2.0
2.5
Sodiumnitrate(g/L)
0.0
0.5
1.0
1.5
2.0
2.5
pH
4
6
8
10
12
14
Sodiumacetate(g/L)
0
1
2
3
4
5
Time (d)
0 1 2 3
Luteincontent(mg/g)
0
1
2
3
4
5
Luteinproductivity(mg/L/d)
0
1
2
3
4
Biomassproductivity(g/L/d)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
Maximal lutein productivity:
3.97±0.19 mg/L/d
Carbon and Nitrogen Optimizing
- Conclusion of optimum of sodium acetate and sodium nitrate
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
22
Ion
optimum
C/N optimum
Medium choice
4.88 g/L of sodium acetate and 1.83 g/L of sodium nitrate
1) were the optimal composition of carbon and nitrate source for
Chlorella sp. to produce lutein.
2) The growth curve and the time course of lutein content changing
were investigated
Trace Metal Optimizing
- The procedure of the optimum of trace metal
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
23
In briefly, that is
Experimental preparation
Two level fractional
factorial design
Steepest ascent method
Response surface
methodology
Trace Metal Optimizing
- The procedure of the optimum of trace metal
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
24
1) Calcium chloride dehydrate
2) Copper sulfate pentahydrate
3) Ferric ammonium citrate
4) Magnesium sulfate heptahydrate
5) Sodium chloride
6) Zinc sulfate heptahydrate
Experimental preparation
Two level fractional
factorial design
Steepest ascent method
Response surface
methodology
Trace Metal Optimizing
- The procedure of the optimum of trace metal
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
25
1) Calcium chloride dehydrate*
2) Copper sulfate pentahydrate
3) Ferric ammonium citrate
4) Sodium chloride*
* whose p-value were less than 0.05
Experimental preparation
Two level fractional
factorial design
Steepest ascent method
Response surface
methodology
Y = 𝛽0 +
i=1
k
𝛽𝑖χi
Y: the predicted response
β0: the intercept
βi: linear coefficients
Step
O-Δ O O+Δ O+2Δ O+3Δ
Luteinproductivity(mg/L/d)
2.8
3.0
3.2
3.4
3.6
3.8
4.0
Trace Metal Optimizing
- The procedure of the optimum of trace metal
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
26
X22
X21
Experimental preparation
Two level fractional
factorial design
Steepest ascent method
Response surface
methodology
Trace Metal Optimizing
- Experimental design matrix of RSM of CaCl2·2H2O and NaCl
R
U
n
Comment Code value Real value RV
X41 X42 𝝃41
(mg/L)
𝝃42
(mg/L)
Y4
(mg/L/d)
1 FF 1 1 55 61 3.44
2 FF 1 -1 55 356 3.18
3 FF -1 1 45 61 3.03
4 FF -1 -1 45 356 2.94
5 Axial 1.414 0 57 208 3.46
6 Axial 0 1.414 50 0 3.16
7 Axial 0 -1.414 50 417 3.11
8 Axial -1.414 0 43 208 3.57
9 Center-Ax 0 0 50 208 4.14
10 Center-Ax 0 0 50 208 4.00
11 Center-Ax 0 0 50 208 3.80
12 Center-Ax 0 0 50 208 3.75
13 Center-Ax 0 0 50 208 3.71
X41, 𝜉41, quantity of CaCl2·2H2O ; X42, 𝜉42, quantity of NaCl; Y4, maximal lutein productivity
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
28
2.4
2.6
2.8
3.0
3.2
3.4
3.6
3.8
4.0
4.2
4.4
34
36
38
40
42
0
50
100
150
200
250
300
350
400
Luteinproductivity(mg/L/d)
Ca 2+
concentration (mg/L) Sodium
chloride (mg/L)
Optimum value:
CaCl2∙2H2O concentration: 51 mg/L
NaCl concentration: 218 mg/L
Predicted lutein productivity: 3.88 mg/L/d
Experimental preparation
Two level fractional
factorial design
Steepest ascent method
Response surface
methodology
Trace Metal Optimizing
- The procedure of the optimum of trace metal
Trace Metal Optimizing
- The procedure of the optimum of trace metal
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
29
Two level fractional
factorial design
Steepest ascent method
Response surface
methodology
Confirmation of
RSM model
Biomassproduction(g/L)
0.0
0.5
1.0
1.5
2.0
2.5
Sodiumnitrate(g/L)
0.0
0.5
1.0
1.5
2.0
2.5
pH
4
6
8
10
12
14
Sodiumacetate(g/L)
0
1
2
3
4
5
Time (d)
0 1 2 3
Luteincontent(mg/g)
0
1
2
3
4
5
Luteinproductivity(mg/L/d)
0
1
2
3
4
Biomassproductivity(g/L/d)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
Maximum lutein productivity:
4.10±0.04 mg/L/d
Trace Metal Optimizing
- Conclusion of optimum of trace metal
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
30
Ion
optimum
C/N optimum
Medium choice
51 mg/L of CaCl2∙2H2O and 218 mg/L of NaCl
1) were the optimal composition of ion, especially for
calcium chloride and sodium chloride for Chlorella sp.
to produce lutein.
2) It was the end step of optimizing medium
Effect of Light intensity
- Condition of experiments
Microalgal strain:
Chlorella sp.
Operated system:
Mixotrophic cultivation, 1L batch
Medium:
BG-11 medium
Organic carbon source:
4.88 g/L sodium acetate
Nitrogen source:
1.83 g/L sodium nitrate
Light intensity:
150 - 600 mmol/m2/s
(TL5, Fluorescent lamp)
Inoculum size:
0.04 g/L
Aeration:
0.2 vvm with 2.5% CO2
Ion concentration:
CaCl2∙2H2O: 51 mg/L
NaCl: 218 mg/L
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
31
Effect of light intensity
- Investigating the influence on growth and available for outdoor cultivation
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
32
Biomassproduction(g/L)
0.0
0.5
1.0
1.5
2.0
2.5
3.0
150 umol/m2
/s
300 umol/m2
/s
450 umol/m2
/s
600 umol/m2
/s
Sodiumacetate
(g/L)
0
1
2
3
4
5
0.0 0.5 1.0 1.5 2.0 2.5 3.0
Biomassproductivity
(g/L/d)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
(a)
(b)
(c)
There were no statistically significant
results for biomass productivity
And, the acetate still could be
exhausted regardless of the light
intensity.
Effect of light intensity
- Summary of experimental data
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
33
Light intensity
(μmol/m2/s)
Biomass productivity*
(g/L/d)
Lutein content*
(mg/g)
Lutein productivity
(mg/L/d)
150 (Origin) 1.06±0.01 3.87±0.09 4.10±0.04
300 1.02±0.01 3.78±0.06 3.86±0.06
450 1.03±0.02 3.66±0.11 3.78±0.11
600 1.01±0.04 3.69±0.05 3.72±0.14
*calculated on the period of maximal lutein productivity
Results and discussion
of application of engineering strategies
Semi-batch system
Semi-batch integrated with two-stage system
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
34
Semi-batch System
- Condition of experiments
Microalgal strain:
Chlorella sp.
Operated system:
Mixotrophic cultivation, 1L
Medium:
BG-11 medium
Organic carbon source:
4.88 g/L sodium acetate
Nitrogen source:
1.83 g/L sodium nitrate
Light intensity:
150 mmol/m2/s
(TL5, Fluorescent lamp)
Inoculum size:
0.04 g/L
Aeration:
0.2 vvm with 2.5% CO2
Ion concentration:
CaCl2∙2H2O: 38.55 mg/L
NaCl: 218 mg/L
Replacement ratio:
20% - 80%
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
35
Semi-batch system
- The illustrated diagram of semi-batch operation
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
36
Batch cultivation
start to conduct
the semi-batch
operation
continue to culture microalga
till it can be harvested
take out specific
ratio of medium
supplement
fresh medium
X(g/L)
t(d)
(about 2 day)
Semi-batch system
- Summary of semi-batch experimental data
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
37
Replacement
ratio
(%)
Cultivation
time*
(hr)
Biomass
productivity*
(g/L/d)
Lutein
content*
(mg/g)
Lutein
productivity*
(mg/L/d)
Batch 42 1.06±0.01 3.87±0.09 4.10±0.04
20% 9.50±0.45 1.00±0.06 3.93±0.02 3.95±0.24
40% 15.40±2.37 1.18±0.15 3.78±0.17 4.43±0.46
60% 22.60±2.52 1.32±0.08 3.70±0.22 4.86±0.20
80% 25.00±1.67 1.55±0.12 3.58±0.21 5.51±0.21
Forty percent time saved
• The cultivation time could be reduced indeed; even for 80%
replacement ratio, and it still reduced about forty percent time.
• The biomass productivity and lutein productivity increased
under the replacement ratio enhanced.
• The lutein content in biomass was seemingly no difference
*calculated on the period of maximal lutein productivity
Semi-batch integrated with two-stage system
- Introductory remark
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
38
Despite of the good results with conventional semi-batch,
it still had some disadvantages:
a) repeated adaptation of different environment (with or without acetate),
b) extra timeframe for accumulation of lutein,
c) the insufficient stability of cultivation system,
d) and the poor utilization of mixed gas.
Semi-batch integrated with two-stage system
- Condition of experiments
Microalgal strain:
Chlorella sp.
Operated system:
Mixotrophic cultivation, 1L
Medium:
BG-11 medium
Organic carbon source:
4.88 g/L sodium acetate
Nitrogen source:
1.83 g/L sodium nitrate
Light intensity:
150 mmol/m2/s
(TL5, Fluorescent lamp)
Inoculum size:
0.04 g/L
Aeration:
0.2 vvm with 2.5% CO2
Ion concentration:
Calcium (II): 38.55 mg/L
Sodium chloride: 218 mg/L
Replacement ratio:
60, and 80%
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
39
Semi-batch integrated with two-stage system
- The illustrated diagram of semi-batch operation
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
40
Semi-batch
operation
Lutein
accumulation
Buffer
tank
1. cell growth
2. mixotrophic
3. acetate existing
1. lutein
accumulation
2. autotrophic
3. acetate free
X(g/L)
t(d)
Content (mg/g)
t(d)
Semi-batch integrated with two-stage system
- Summary of experimental data
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
41
Replacement
ratio
(%)
Cultivation
time*
(hr)
Biomass
productivity*
(g/L/d)
Lutein
content*
(mg/g)
Lutein
productivity*
(mg/L/d)
Batch 42 1.06±0.01 3.87±0.09 4.10±0.04
Semi-batch 60% 22.60±2.52 1.32±0.08 3.70±0.22 4.86±0.20
Semi-batch 80% 25.00±1.67 1.55±0.12 3.58±0.21 5.51±0.21
Integrated system
60%
13.2±1.9 1.44±0.10 3.93±0.09 5.66±0.30
Integrated system
80%
16 1.98±0.04 3.85±0.13 7.62±0.21
Integrated system: semi-batch integrated with two-stage
*calculated on the period of maximal lutein productivity
Conclusion
of this study
Overview of this research
Comparison with the other previous studies
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
42
Conclusion
- Overview of this research
Energy/Environmental Biotechnology &
Biochemical Engineering Laboratory
43
Conclusion
- Comparison with the other previous studies
Microalga strain Operation
system
Cultivation
condition
Biomass
productivity
(g/L/day)
Lutein
content
(mg/g)
Lutein
productivity
(mg/L/day)
References
Chlorella protothecoides Batch Heterotrophic 1.90 1.90 3.6 (Wei et al., 2008)
Chlorella zofingiensis Batch Autotrophic 0.88 3.4 3.0 (Del Campo et al.,
2007)
Scenedesmus obliquus FSP-3 Batch Autotrophic 0.92 4.52 4.15 (Ho et al., 2014a)
Chlorella zofingiensis Batch Autotrophic 0.45 7.2 3.2 (Del Campo et al.,
2004)
Coccomyxa onubensis Semi-batch Autotrophic 0.55 6.2 3.41 (Vaquero et al., 2012)
Scenedesmus obliquus FSP-3 Semi-batch Autotrophic 1.23±0.03 4.57±0.26 5.56±0.31 (Chan, 2012)
Desmodesmus sp. F51 Fed-batch Autotrophic 0.65 5.5 3.56 (Xie et al., 2013)
Scenedesmus almeriensis Continuous Autotrophic 0.87 5.5 4.77 (Sánchez et al., 2008a)
Scenedesmus almeriensis Continuous Autotrophic 0.72 5.3 3.8 (Sánchez et al., 2008b)
Muriellopsis sp. Continuous Autotrophic 1.67 4.3 7.2 (Del Campo et al.,
2001)
Coccomyxa acidophila Batch Mixotrophic 0.26 3.50 0.9 (Casal et al., 2011)
Chlorella sp. Batch Mixotrophic 1.03±0.04 3.86±0.22 3.97±0.19 This study
Chlorella sp. Semi-batch Mixotrophic 1.55±0.12 3.58±0.21 5.51±0.21 This study
Chlorella sp. Integrated system Mixotrophic 1.98±0.04 3.85±0.13 7.62±0.21 This study
Integrated system: semi-batch integrated with two-stage
About me
45
at National Cheng
Kung University
master student,
second year, major
in Chemical
Engineering
conference attended
4 of internal conf.
2 of international conf.
main author or coauthor
3 of accepted publication
1 of modification
some skills has learned
in the past period
I

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Optimization of lutein production with mixotrophic cultivation of an indigenous microalga

  • 1. Optimization of lutein production with mixotrophic cultivation of an indigenous microalga Reporter: Chen-Chun Liu (劉振群) Advisor: Jo-Shu Chang Date: June 26, 2014
  • 2. 2 Outline • The background • Research overview • Results and discussion • Conclusion Energy/Environmental Biotechnology & Biochemical Engineering Laboratory
  • 3. The Background of this study Microalga Lutein Microalgae as promising feedstock for lutein production Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 3
  • 4. The Background ─ Microalga Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 4 • Transform the sunlight into chemical energy via photosynthesis • Various essential nutrients, such as DHA, EPA, protein, and pigments GH-B4
  • 5. The Background ─ Lutein Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 5 Photosynthetic pigments Chlorophylls Carotenoids Xanthophylls (CxHyOz) • Photosynthesis pigments • Classified into xanthophylls, because its structure consists of two hydroxyl functional groups
  • 6. The Background ─ Lutein Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 6 Diseases Preventing mechanisms by lutein Xerophthalmia Quenching active oxygen species Age macular degeneration Protect cells from blue light-induced damage and scavenge free radicals Colorectal cancer N.A. Light-induced erythema Filtering of blue light and scavenging reactive intermediates Cardiovascular diseases Protect against the development of early atherosclerosis Reference: Brown, 2008; Slattery et al., 2000; Mares-Perlman et al., 2002
  • 7. The Background ─ Microalgae as promising feedstock for lutein production Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 7 1) No limitation of seasonal harvesting 2) Higher growth rate than marigolds 3) Sufficient lutein content inside biomass 4) High lutein productivity 5) Existence of lutein in free form 6) No need for an extra separating step in comparison with other plants Source Lutein content (μg/100g) Egg yolk 384-1320 Broccoli 710-3300 Carrot 170-650 Lettuce 1000-47806 Orange 64 Papaya 38 Spinach 5930–7900 Corn 2190 Tomato 10-200 Marigold (Tagetes erecta L.) 30000 Microalgae 300000-700000 10 time ↑ Present source Promising source Reference: Abdel-Aal et al., 2013; Del Campo et al., 2007; Fraser & Bramley, 2004; Hammershøj et al., 2010
  • 8. Research overview of this study The Schematic Diagram of Research Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 8
  • 9. The Schematic Diagram of Research 9 Semi-batch integrated with two-stage Microalga Strain Medium Optimizing Engineering StrategiesLight Intensity Semi-batch RSM of C/N RSM of Trace metal Medium Choice Optimizing of cultivation condition for lutein production The use of engineering strategies to enhance the performance on lutein production 1) Two-level factional factorial design 2) Steepest ascent 3) Central composite design 4) Confirmed experiment 1) Central composite design 2) Confirmed experiment RSM: Response surface methodology
  • 10. Results and discussion of optimal condition for cultivation Microalgal Strain Selecting Suitable Medium Chosen Effect of Sodium Acetate Concentration, Effect of Sodium Nitrate Concentration, RSM Two-level Fractional Factorial Experimental Design, Steepest Ascent Method, RSM Effect of light intensity Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 10
  • 11. Microalgal Strain Selecting - Condition of experiments Microalgal strain: Chlorella sp. Scenedesmus abundans GH-D11 Scenedesmus obliquus AS-6-1 Chlorella sorokiniana HCH-2 Operated system: Mixotrophic cultivation, 1L batch Media: BG-11 medium Organic carbon source: 3 g/L sodium acetate Nitrogen source: 1 g/L sodium nitrate Light intensity: 150 mmol/m2/s (TL5, Fluorescent lamp) Inoculum size: 0.04 g/L Aeration: 0.2 vvm with 2.5% CO2 Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 11
  • 12. Microalgal Strain Selecting - The procedure of experiments Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 12 Microalga isolation Acetate-tolerant strains Chlorella sp. Chlorella sorokiniana Scenedesmus abundans Scenedesmus obliquus Mixotrophic cultivation Objective: 1) The strain was higher tolerance of acetate, 2) and had potential to produce lutein
  • 13. Microalgal Strain Selecting - Summary of experimental data Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 13 Strain Cultivation time* (d) Maximal specific growth rate (1/d) Biomass Productivity* (g/L/d) Lutein Content* (mg/g) Maximal Lutein productivity* (mg/L/d) Chlorella sp. 1.0 2.263 1.10 2.55 2.79 HCH-2 1.2 1.320 0.66 3.65 2.42 GH-D11 2.5 1.042 0.53 3.83 2.01 AS-6-1 2.0 1.071 0.53 1.80 0.95 The highest performance Batch cultivation Find out its optimal conditions *calculated on the period of maximal lutein productivity
  • 14. Suitable Medium Choice - Condition of experiments Microalgal strain: Chlorella sp. Operated system: Mixotrophic cultivation, 1L batch Media: Basal medium modified Bold Basal medium (MBBM) modified Bristol's medium (MBM) Blue Green medium (BG-11) Organic carbon source: 3 g/L sodium acetate Nitrogen source: 1 g/L sodium nitrate Light intensity: 150 mmol/m2/s (TL5, Fluorescent lamp) Inoculum size: 0.04 g/L Aeration: 0.2 vvm with 2.5% CO2 Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 14
  • 15. Suitable Medium Choice - Summary of experimental data Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 15 Medium Maximal specific growth rate (1/d) Biomass productivity* (g/L/d) Lutein content* (mg/g) Maximal lutein productivity* (mg/L/d) COST BM 2.133 1.23 1.78 2.19 High MBM 2.497 1.35 2.30 3.09 Low MBBM 2.377 1.29 2.29 2.96 Medium BG-11 2.628 1.32 2.57 3.39 Low *calculated on the period of maximal lutein productivity
  • 16. Suitable Medium Choice - Conclusion of medium choice Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 16 Ion optimum C/N optimum Medium choice BG-11 medium 1) was suitable for growth and has better lutein performance of production. 2) the chemical cost of BG-11 was the lowest among these medium
  • 17. Carbon and Nitrogen Optimizing - The procedure of the optimum of acetate and nitrate concentration Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 17 Response Surface Methodology Effect of Substrate Concentration Confirmation of RSM model
  • 18. Carbon and Nitrogen Optimizing - Effect of substrate concentration Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 18 Response Surface Methodology Effect of Substrate Concentration Confirmation of RSM model Sodium acetate concentration (g/L) 0 2 4 6 8 10 12 Luteinproductivity(mg/L/d) 1.0 1.5 2.0 2.5 3.0 3.5 Sodium nitrate concentration (g/L) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Luteinproductivity(mg/L/d) 2.8 3.0 3.2 3.4 3.6 3.8
  • 19. Carbon and Nitrogen Optimizing - Experimental design matrix of RSM of acetate and nitrate R u n Comment Code value Real value RV X31 X32 𝝃31 (g/L) 𝝃32 (g/L) Y3 (mg/L/d) 1 FF -1 -1 3 1.5 3.60 2 FF -1 1 3 2.5 3.49 3 FF 1 -1 9 1.5 2.71 4 FF 1 1 9 2.5 3.07 5 Axial -1 0 3 2.0 3.60 6 Axial 1 0 9 2.0 2.64 7 Axial 0 -1 6 1.5 3.89 8 Axial 0 1 6 2.5 3.08 9 Center-Ax 0 0 6 2.0 3.66 10 Center-Ax 0 0 6 2.0 3.78 11 Center-Ax 0 0 6 2.0 4.06 12 Center-Ax 0 0 6 2.0 4.06 13 Center-Ax 0 0 6 2.0 4.21 X31, 𝜉31, quantity of acetate; X32, 𝜉32, quantity of nitrate; Y3, maximal lutein productivity 19
  • 20. 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0 4.2 4.4 3 4 5 6 7 8 9 1.6 1.8 2.0 2.2 Luteinproductivity(mg/L/d) Sodium acetate (g/L) Sodium nitrate (g/L) Carbon and Nitrogen Optimizing - The procedure of optimum of sodium acetate and sodium nitrate Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 20 Response Surface Methodology Effect of Substrate Concentration Confirmation of RSM model Optimum value: Sodium acetate concentration: 4.88 g/L Sodium nitrate concentration: 1.83 g/L Maximal lutein productivity: 3.96 mg/L/d
  • 21. Carbon and Nitrogen Optimizing - The procedure of optimum of sodium acetate and sodium nitrate Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 21 Response Surface Methodology Effect of Substrate Concentration Confirmation of RSM model Biomassproduction(g/L) 0.0 0.5 1.0 1.5 2.0 2.5 Sodiumnitrate(g/L) 0.0 0.5 1.0 1.5 2.0 2.5 pH 4 6 8 10 12 14 Sodiumacetate(g/L) 0 1 2 3 4 5 Time (d) 0 1 2 3 Luteincontent(mg/g) 0 1 2 3 4 5 Luteinproductivity(mg/L/d) 0 1 2 3 4 Biomassproductivity(g/L/d) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Maximal lutein productivity: 3.97±0.19 mg/L/d
  • 22. Carbon and Nitrogen Optimizing - Conclusion of optimum of sodium acetate and sodium nitrate Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 22 Ion optimum C/N optimum Medium choice 4.88 g/L of sodium acetate and 1.83 g/L of sodium nitrate 1) were the optimal composition of carbon and nitrate source for Chlorella sp. to produce lutein. 2) The growth curve and the time course of lutein content changing were investigated
  • 23. Trace Metal Optimizing - The procedure of the optimum of trace metal Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 23 In briefly, that is Experimental preparation Two level fractional factorial design Steepest ascent method Response surface methodology
  • 24. Trace Metal Optimizing - The procedure of the optimum of trace metal Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 24 1) Calcium chloride dehydrate 2) Copper sulfate pentahydrate 3) Ferric ammonium citrate 4) Magnesium sulfate heptahydrate 5) Sodium chloride 6) Zinc sulfate heptahydrate Experimental preparation Two level fractional factorial design Steepest ascent method Response surface methodology
  • 25. Trace Metal Optimizing - The procedure of the optimum of trace metal Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 25 1) Calcium chloride dehydrate* 2) Copper sulfate pentahydrate 3) Ferric ammonium citrate 4) Sodium chloride* * whose p-value were less than 0.05 Experimental preparation Two level fractional factorial design Steepest ascent method Response surface methodology Y = 𝛽0 + i=1 k 𝛽𝑖χi Y: the predicted response β0: the intercept βi: linear coefficients
  • 26. Step O-Δ O O+Δ O+2Δ O+3Δ Luteinproductivity(mg/L/d) 2.8 3.0 3.2 3.4 3.6 3.8 4.0 Trace Metal Optimizing - The procedure of the optimum of trace metal Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 26 X22 X21 Experimental preparation Two level fractional factorial design Steepest ascent method Response surface methodology
  • 27. Trace Metal Optimizing - Experimental design matrix of RSM of CaCl2·2H2O and NaCl R U n Comment Code value Real value RV X41 X42 𝝃41 (mg/L) 𝝃42 (mg/L) Y4 (mg/L/d) 1 FF 1 1 55 61 3.44 2 FF 1 -1 55 356 3.18 3 FF -1 1 45 61 3.03 4 FF -1 -1 45 356 2.94 5 Axial 1.414 0 57 208 3.46 6 Axial 0 1.414 50 0 3.16 7 Axial 0 -1.414 50 417 3.11 8 Axial -1.414 0 43 208 3.57 9 Center-Ax 0 0 50 208 4.14 10 Center-Ax 0 0 50 208 4.00 11 Center-Ax 0 0 50 208 3.80 12 Center-Ax 0 0 50 208 3.75 13 Center-Ax 0 0 50 208 3.71 X41, 𝜉41, quantity of CaCl2·2H2O ; X42, 𝜉42, quantity of NaCl; Y4, maximal lutein productivity
  • 28. Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 28 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0 4.2 4.4 34 36 38 40 42 0 50 100 150 200 250 300 350 400 Luteinproductivity(mg/L/d) Ca 2+ concentration (mg/L) Sodium chloride (mg/L) Optimum value: CaCl2∙2H2O concentration: 51 mg/L NaCl concentration: 218 mg/L Predicted lutein productivity: 3.88 mg/L/d Experimental preparation Two level fractional factorial design Steepest ascent method Response surface methodology Trace Metal Optimizing - The procedure of the optimum of trace metal
  • 29. Trace Metal Optimizing - The procedure of the optimum of trace metal Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 29 Two level fractional factorial design Steepest ascent method Response surface methodology Confirmation of RSM model Biomassproduction(g/L) 0.0 0.5 1.0 1.5 2.0 2.5 Sodiumnitrate(g/L) 0.0 0.5 1.0 1.5 2.0 2.5 pH 4 6 8 10 12 14 Sodiumacetate(g/L) 0 1 2 3 4 5 Time (d) 0 1 2 3 Luteincontent(mg/g) 0 1 2 3 4 5 Luteinproductivity(mg/L/d) 0 1 2 3 4 Biomassproductivity(g/L/d) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 Maximum lutein productivity: 4.10±0.04 mg/L/d
  • 30. Trace Metal Optimizing - Conclusion of optimum of trace metal Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 30 Ion optimum C/N optimum Medium choice 51 mg/L of CaCl2∙2H2O and 218 mg/L of NaCl 1) were the optimal composition of ion, especially for calcium chloride and sodium chloride for Chlorella sp. to produce lutein. 2) It was the end step of optimizing medium
  • 31. Effect of Light intensity - Condition of experiments Microalgal strain: Chlorella sp. Operated system: Mixotrophic cultivation, 1L batch Medium: BG-11 medium Organic carbon source: 4.88 g/L sodium acetate Nitrogen source: 1.83 g/L sodium nitrate Light intensity: 150 - 600 mmol/m2/s (TL5, Fluorescent lamp) Inoculum size: 0.04 g/L Aeration: 0.2 vvm with 2.5% CO2 Ion concentration: CaCl2∙2H2O: 51 mg/L NaCl: 218 mg/L Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 31
  • 32. Effect of light intensity - Investigating the influence on growth and available for outdoor cultivation Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 32 Biomassproduction(g/L) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 150 umol/m2 /s 300 umol/m2 /s 450 umol/m2 /s 600 umol/m2 /s Sodiumacetate (g/L) 0 1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Biomassproductivity (g/L/d) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 (a) (b) (c) There were no statistically significant results for biomass productivity And, the acetate still could be exhausted regardless of the light intensity.
  • 33. Effect of light intensity - Summary of experimental data Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 33 Light intensity (μmol/m2/s) Biomass productivity* (g/L/d) Lutein content* (mg/g) Lutein productivity (mg/L/d) 150 (Origin) 1.06±0.01 3.87±0.09 4.10±0.04 300 1.02±0.01 3.78±0.06 3.86±0.06 450 1.03±0.02 3.66±0.11 3.78±0.11 600 1.01±0.04 3.69±0.05 3.72±0.14 *calculated on the period of maximal lutein productivity
  • 34. Results and discussion of application of engineering strategies Semi-batch system Semi-batch integrated with two-stage system Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 34
  • 35. Semi-batch System - Condition of experiments Microalgal strain: Chlorella sp. Operated system: Mixotrophic cultivation, 1L Medium: BG-11 medium Organic carbon source: 4.88 g/L sodium acetate Nitrogen source: 1.83 g/L sodium nitrate Light intensity: 150 mmol/m2/s (TL5, Fluorescent lamp) Inoculum size: 0.04 g/L Aeration: 0.2 vvm with 2.5% CO2 Ion concentration: CaCl2∙2H2O: 38.55 mg/L NaCl: 218 mg/L Replacement ratio: 20% - 80% Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 35
  • 36. Semi-batch system - The illustrated diagram of semi-batch operation Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 36 Batch cultivation start to conduct the semi-batch operation continue to culture microalga till it can be harvested take out specific ratio of medium supplement fresh medium X(g/L) t(d) (about 2 day)
  • 37. Semi-batch system - Summary of semi-batch experimental data Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 37 Replacement ratio (%) Cultivation time* (hr) Biomass productivity* (g/L/d) Lutein content* (mg/g) Lutein productivity* (mg/L/d) Batch 42 1.06±0.01 3.87±0.09 4.10±0.04 20% 9.50±0.45 1.00±0.06 3.93±0.02 3.95±0.24 40% 15.40±2.37 1.18±0.15 3.78±0.17 4.43±0.46 60% 22.60±2.52 1.32±0.08 3.70±0.22 4.86±0.20 80% 25.00±1.67 1.55±0.12 3.58±0.21 5.51±0.21 Forty percent time saved • The cultivation time could be reduced indeed; even for 80% replacement ratio, and it still reduced about forty percent time. • The biomass productivity and lutein productivity increased under the replacement ratio enhanced. • The lutein content in biomass was seemingly no difference *calculated on the period of maximal lutein productivity
  • 38. Semi-batch integrated with two-stage system - Introductory remark Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 38 Despite of the good results with conventional semi-batch, it still had some disadvantages: a) repeated adaptation of different environment (with or without acetate), b) extra timeframe for accumulation of lutein, c) the insufficient stability of cultivation system, d) and the poor utilization of mixed gas.
  • 39. Semi-batch integrated with two-stage system - Condition of experiments Microalgal strain: Chlorella sp. Operated system: Mixotrophic cultivation, 1L Medium: BG-11 medium Organic carbon source: 4.88 g/L sodium acetate Nitrogen source: 1.83 g/L sodium nitrate Light intensity: 150 mmol/m2/s (TL5, Fluorescent lamp) Inoculum size: 0.04 g/L Aeration: 0.2 vvm with 2.5% CO2 Ion concentration: Calcium (II): 38.55 mg/L Sodium chloride: 218 mg/L Replacement ratio: 60, and 80% Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 39
  • 40. Semi-batch integrated with two-stage system - The illustrated diagram of semi-batch operation Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 40 Semi-batch operation Lutein accumulation Buffer tank 1. cell growth 2. mixotrophic 3. acetate existing 1. lutein accumulation 2. autotrophic 3. acetate free X(g/L) t(d) Content (mg/g) t(d)
  • 41. Semi-batch integrated with two-stage system - Summary of experimental data Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 41 Replacement ratio (%) Cultivation time* (hr) Biomass productivity* (g/L/d) Lutein content* (mg/g) Lutein productivity* (mg/L/d) Batch 42 1.06±0.01 3.87±0.09 4.10±0.04 Semi-batch 60% 22.60±2.52 1.32±0.08 3.70±0.22 4.86±0.20 Semi-batch 80% 25.00±1.67 1.55±0.12 3.58±0.21 5.51±0.21 Integrated system 60% 13.2±1.9 1.44±0.10 3.93±0.09 5.66±0.30 Integrated system 80% 16 1.98±0.04 3.85±0.13 7.62±0.21 Integrated system: semi-batch integrated with two-stage *calculated on the period of maximal lutein productivity
  • 42. Conclusion of this study Overview of this research Comparison with the other previous studies Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 42
  • 43. Conclusion - Overview of this research Energy/Environmental Biotechnology & Biochemical Engineering Laboratory 43
  • 44. Conclusion - Comparison with the other previous studies Microalga strain Operation system Cultivation condition Biomass productivity (g/L/day) Lutein content (mg/g) Lutein productivity (mg/L/day) References Chlorella protothecoides Batch Heterotrophic 1.90 1.90 3.6 (Wei et al., 2008) Chlorella zofingiensis Batch Autotrophic 0.88 3.4 3.0 (Del Campo et al., 2007) Scenedesmus obliquus FSP-3 Batch Autotrophic 0.92 4.52 4.15 (Ho et al., 2014a) Chlorella zofingiensis Batch Autotrophic 0.45 7.2 3.2 (Del Campo et al., 2004) Coccomyxa onubensis Semi-batch Autotrophic 0.55 6.2 3.41 (Vaquero et al., 2012) Scenedesmus obliquus FSP-3 Semi-batch Autotrophic 1.23±0.03 4.57±0.26 5.56±0.31 (Chan, 2012) Desmodesmus sp. F51 Fed-batch Autotrophic 0.65 5.5 3.56 (Xie et al., 2013) Scenedesmus almeriensis Continuous Autotrophic 0.87 5.5 4.77 (Sánchez et al., 2008a) Scenedesmus almeriensis Continuous Autotrophic 0.72 5.3 3.8 (Sánchez et al., 2008b) Muriellopsis sp. Continuous Autotrophic 1.67 4.3 7.2 (Del Campo et al., 2001) Coccomyxa acidophila Batch Mixotrophic 0.26 3.50 0.9 (Casal et al., 2011) Chlorella sp. Batch Mixotrophic 1.03±0.04 3.86±0.22 3.97±0.19 This study Chlorella sp. Semi-batch Mixotrophic 1.55±0.12 3.58±0.21 5.51±0.21 This study Chlorella sp. Integrated system Mixotrophic 1.98±0.04 3.85±0.13 7.62±0.21 This study Integrated system: semi-batch integrated with two-stage
  • 45. About me 45 at National Cheng Kung University master student, second year, major in Chemical Engineering conference attended 4 of internal conf. 2 of international conf. main author or coauthor 3 of accepted publication 1 of modification some skills has learned in the past period I

Editor's Notes

  1. This table further summarized the other observed factors, and semi-batch integrated with two-stage system was abbreviated as integrated system. It was shown that the cultivation time can be reduced approaching to sixty percent of time compared with batch cultivation. The maximal biomass productivity was 1.98 g/L/d observed with 80% replacement ratio. Moreover, the lutein content of both ratios was almost no different from batch system, and that implied the application of integrated system not causing the negative effect on lutein accumulation. Furthermore, the lutein productivity with 80% replacement ratio was improved to 7.62 mg/L/d, which was the most performance in this work and quite well in previous literature.