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Optimization of yield for extraction of an
essential oil from Cinnamon using
Microwave-assisted extraction
Prepared by : SatishKumar K. Movaliya
Enrollment no. : 150170730008
Guided by : Prof. Yogesh J. Morabiya
Vishwakarma Government Engineering College, Chandkheda
Ahmedabad-382424
31st May, 2017
Outlines
Research Objectives
Introduction
Microwave-assisted extraction
Research gap from literature survey
Experimental work
Design of Experiment (DOE)
Results
Conclusion
Future scope of work
References
To extract an essential oil from cinnamon by using novel technique –
Microwave assisted extraction and Optimization of Microwave
extraction process parameter to obtain maximum yield of cinnamon
oil.
To analyze the components which are present in essential oil by GC-
MS.
Comparison of novel techniques with hydrodistillation and find out the
predictive model by using ANN (Artificial neural network).
Research objectives
 Properties of cinnamon oil
 Scientific name : Cinnamomum verum, Cinnamomum cassia, Cinnamomum
zeylanicum, Cinnamomum loureirii
 Common name : Cinnamon, Cinnamomon, Ceylon cinnamon, Chinese cinnamon,
Chinese cassia, Saigon cinnamon
 Molecular formula : C9H8O
 Molecular weight : 132.383 g/mol
 IUPAC name : 2-methoxy-4-prop-2-enylphenol
 Solubility : Soluble in 1-2.5 vols of 70% alcohol
 Specific gravity : 1.020-1.030 at 20°C
 Refractive index : 1.568-1.535 at 20°C
Introduction
 Cinnamon
Introduction
Structure of cinnamon oil [67]Cinnamon sticks, powder and dried flowers [67]
 Principle of microwave heating [65]
Microwave-assisted extraction
Microwave irradiation effect [65]
Microwave-assisted extraction
Before After
Representation of two heating modes : [31]
Microwave-assisted extraction
 Important parameters in MAE
 Selection of Solvent
 Solvent-to-Feed Ratio (S/F)
 Extraction time and cycle
 Microwave power level
 Extraction temperature
 Stirring
Microwave-assisted extraction
Selection of solvents [65]
Microwave-assisted extraction
Solvent name
Dielectric
constant
Boiling point (°C) Viscosity (cP)
Acetone 20.7 56 0.30
Ethanol 24.3 78 0.69
Hexane 1.89 69 0.30
Methanol 32.6 65 0.54
2-Propanol 19.9 82 0.30
Water 78.3 100 0.89
Ethyl acetate 6.02 77 0.43
Research scholars or authors was used only HD and
SCFE for extraction of cinnamon oil
Optimization method not applied
Not use water as a solvent
Research gap from literature survey
 Plant material
 1 kg Cinnamon bark collected
Pre-treatment procedure
 Washed into distilled water
 Dried in open air for 1 day at temp. about 25-30°C
 After drying Cinnamon crushed and grinded
 After grinding Cinnamon powder was sieved by mechanical sieve
shaker
 Collect the Cinnamon powder which average particle size was less
than 100 μm
Experimental work
 Experimental setup
Experimental work
 RAGA’s Microwave system
 20 liter capacity
 Maximum output power : 700 W
 Input power source : 250 V – 50 Hz
 Microwave frequency : 2450 MHz
 Cavity dimensions : 306 × 𝟐𝟏𝟏 × 320
mm
 Microwave power level :
140 W (20%) 210 W (30%)
240 W (35%) 280 W (40%)
350 W (50%) 420 W (60%)
450 W (65%) 490 W (70%)
560 W (80%) 700 W (100%)
 Taguchi method
o Developed by Genichi taguchi
o It is a statistical method sometime called as Robust design method
o Employed this method for improve products or manufacturing processes
o Powerful and effective method to solve challenging quality problems
o Depending upon objectives three norms of mean square deviation
1. Nominal the better
2. Smaller the better
3. Larger the better
Design of Experiment (DOE)
 Factors and their levels
Design of Experiment (DOE)
Factors
Levels
1 2 3 4
A Solid loading (gm) 20 25 30 35
B Solvent quantity (ml) 200 250 300 350
C
Microwave power level
(W)
280 420 490 700
D Extraction time (min) 15 20 25 30
Design of Experiment (DOE)
Run A B C D
Solid
loading
(gm)
Solvent
quantity
(ml)
Microwave
power level
(W)
Extraction
time (min)
1 1 1 1 1 20 200 280 15
2 1 2 2 2 20 250 420 20
3 1 3 3 3 20 300 490 25
4 1 4 4 4 20 350 700 30
5 2 1 2 3 25 200 420 25
6 2 2 1 4 25 250 280 30
7 2 3 4 1 25 300 700 15
8 2 4 3 2 25 350 490 20
9 3 1 3 4 30 200 490 30
10 3 2 4 3 30 250 700 25
11 3 3 1 2 30 300 280 20
12 3 4 2 1 30 350 420 15
13 4 1 4 2 35 200 700 20
14 4 2 3 1 35 250 490 15
15 4 3 2 4 35 300 420 30
16 4 4 1 3 35 350 280 25
Results
Experimen
t no.
Solid loading
(gm)
Solvent
quantity
(ml)
Microwave
power level
(W)
Extraction
time (min)
Yield
(%, w/w)
1 20 200 280 15 2.741
2 20 250 420 20 2.416
3 20 300 490 25 2.395
4 20 350 700 30 3.516
5 25 200 420 25 2.826
6 25 250 280 30 2.734
7 25 300 700 15 3.163
8 25 350 490 20 3.194
9 30 200 490 30 3.558
10 30 250 700 25 4.169
11 30 300 280 20 2.892
12 30 350 420 15 3.159
13 35 200 700 20 4.056
14 35 250 490 15 3.318
15 35 300 420 30 3.449
16 35 350 280 25 2.817
 Parametric study
Results
 Parametric study
Results
 Parametric study
Results
 Parametric study
Results
Fourier transform infrared spectroscopy (FTIR)
Results
Fourier transform infrared spectroscopy (FTIR)
Sample : Cinnamon powder before extraction
Results
Sr. no Wavenumber (cm-1) Functional group names
1 1004 Esters
2 1235 Ethers
3 1431 Nitro group
4 1555 Nitro group
5 1612 Alkenes, Amides, Amines
6 1654 Ketone, Esters, Alkenes
7 2924 Alkanes
8 3261 Alkynes, Phenols, Hydrogen O-H bonded
9 3732 Amines (Primary), Phenol
Fourier transform infrared spectroscopy (FTIR)
Results
 Fourier transform infrared spectroscopy (FTIR)
Sample : Cinnamon powder after extraction
Results
Sr. no Wavenumber (cm-1) Functional group names
1 1026 Esters, Ethers
2 1089 Ethers
3 1613 Alkenes
4 3369 Carboxylic acids, Phenols
Gas chromatography–mass spectrometry (GC–MS)
Results
 Gas chromatography–mass spectrometry (GC–MS)
Results
Probable Compound Retention time (min) Area (%)
𝛽-Methyl benzenepropanal 17.818 0.308
Cinnamaldehyde 21.644 89.324
Copaene 24.869 0.807
Coumarin 27.611 0.675
(𝜀)-Cinnamyl acetate 28.002 0.273
𝛾 −Cadinene 29.177 0.325
𝛼 −Muurolene 30.236 1.569
𝛿 −Cadinene 31.236 2.950
𝛼 −Cadinene 31.653 2.225
Cadinadiene-1,4 35.373 0.404
𝛼 −Amorphene 35.933 0.761
𝛼 −Cadinol 36.094 0.383
ANOVA (Analysis of variance) Results
Results
ANOVA (Analysis of variance) Results
Results
 ANN (Artificial neural network)
Results
 Coefficient of Regression
for ANN in case of 7 hidden
neurons, FFBP algorithm and
log sigmoid transfer function
Results
R^2 = 99.527
%
 Final model equation
Yield = 2.37 + [ 0.433 X1 – 0.00905 X2 – 0.00805 X3 – 0.3244 X4 – 000869 X1^2 +
0.00297 X4^2 + 0.000225 X1*X3 + 0.000463 X2*X4 + 0.000182 X3*X4
Where,
X1 : Solid loading (gm)
X2 : Solvent quantity (ml)
X3 : Microwave power level (W)
X4 : Extraction time (min)
Results
 Optimum yield from predictive model by using ANN
Results
Solid Loading (gm) 35
Solvent quantity (ml) 250
Microwave power level (W) 700
Extraction time (min) 30
Predictive yield (%,w/w) 4.837
Actual yield (%,w/w) 4.814
 Hydrodistillation method results
Results
Experiment
no.
Solid loading
(gm)
Solvent
quantity (ml)
Extraction
time (min)
Yield
(%, w/w)
1
30 250
30 1.093
2 60 1.472
3 90 1.952
4 120 2.513
5 150 2.806
6 180 3.108
 Gas chromatography–mass spectrometry (GC–MS)
Results
Probable Compound Retention time (min) Area (%)
Benzaldehyde 18.916 2.207
Borneol 20.584 1.529
Cinnamaldehyde 23.047 62.60
Coumarin 26.087 1.298
𝛽-Cadinene 29.475 5.204
Trans-𝛼-Bengamotene 29.975 5.847
Camphor 30.236 3.742
𝛼-Humulene 31.380 2.950
Eugerol 32.065 4.603
Guaiacol 32.904 0.865
𝛼-Terpineol 34.237 3.507
Cubenol 34.564 5.602
Results
Collected oil
 Comparison of MAE with HD
Results
Parameter MAE HD
Solid loading (gm) 30 30
Solvent quantity (ml) 250 250
Microwave power level (W) 700 -
Extraction time (min) 30 180
Maximum yield (%, w/w) 4.169 3.108
Microwave-assisted extraction is a rapid extraction technique for
extraction of an essential oil.
In MAE method optimum conditions were obtained at solid loading 35
gm, solvent quantity 250 ml, microwave power level 700 W and
extraction time 30 min.
Microwave power level is more significant parameter for rapid
extraction.
MAE is more cost effective and environmental friendly technique.
Conclusion
To study the various properties of cinnamon oil
I. Anti-oxidant activity
II. Anti-microbial activity
III. Zone of inhibition
Future scope of work
1. Y. Li, D. Kong, and H. Wu, “Analysis and evaluation of essential oil components of
cinnamon barks using GC–MS and FTIR spectroscopy,” Industrial Crops and
Products, vol. 41, pp. 269–278, Jan. 2013.
2. R. Li, Y. Wang, Z.-T. Jiang, and S. Jiang, “Chemical Composition of the Essential
Oils of Cinnamomum loureirii Nees. From China Obtained by Hydrodistillation
and Microwave-assisted Hydrodistillation,” Journal of Essential Oil Research, vol.
22, no. 2, pp. 129–131, Mar. 2010.
3. E. Schmidt et al., “Composition and antioxidant activities of the essential oil of
cinnamon (Cinnamomum zeylanicum Blume) leaves from Sri Lanka,” Journal of
Essential Oil Bearing Plants, vol. 9, no. 2, pp. 170–182, 2006.
4. N. Jeyaratnam, A. H. Nour, R. Kanthasamy, A. H. Nour, A. R. Yuvaraj, and J. O.
Akindoyo, “Essential oil from Cinnamomum cassia bark through hydrodistillation
and advanced microwave assisted hydrodistillation,” Industrial Crops and Products,
vol. 92, pp. 57–66, Dec. 2016.
References
5. N. N. Kasim, S. N. A. S. Ismail, N. D. Masdar, F. Ab Hamid, and W. I. Nawawi,
“Extraction and Potential of Cinnamon Essential Oil towards Repellency and
Insecticidal Activity,” International Journal of Scientific and Research Publications,
vol. 4, no. 7, 2014.
6. M. R. Thakker, J. K. Parikh, and M. A. Desai, “Microwave assisted extraction of
essential oil from the leaves of Palmarosa: Multi-response optimization and
predictive modelling,” Industrial Crops and Products, vol. 86, pp. 311–319, Aug.
2016.
7. N. Jeyaratnam, A. H. Nour, and J. O. Akindoyo, “The potential of Microwave
Assisted Hydrodistillation in extraction of essential oil from cinnamomum cassia
(cinnamon),” 2006.
References
Paper publication
 Satish Kumar M, “Optimization of Yield for Extraction of an
Essential Oil from Cinnamon using Microwave-Assisted
Extraction”, Journal of Chromatography & Separation
techniques, 2017. ISSN:2157-7064.
Paper publication
Questions ?
Thank you.

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Optimization of yield for extraction of an essential oil from Cinnamon using Microwave-assisted extraction

  • 1. Optimization of yield for extraction of an essential oil from Cinnamon using Microwave-assisted extraction Prepared by : SatishKumar K. Movaliya Enrollment no. : 150170730008 Guided by : Prof. Yogesh J. Morabiya Vishwakarma Government Engineering College, Chandkheda Ahmedabad-382424 31st May, 2017
  • 2. Outlines Research Objectives Introduction Microwave-assisted extraction Research gap from literature survey Experimental work Design of Experiment (DOE) Results Conclusion Future scope of work References
  • 3. To extract an essential oil from cinnamon by using novel technique – Microwave assisted extraction and Optimization of Microwave extraction process parameter to obtain maximum yield of cinnamon oil. To analyze the components which are present in essential oil by GC- MS. Comparison of novel techniques with hydrodistillation and find out the predictive model by using ANN (Artificial neural network). Research objectives
  • 4.  Properties of cinnamon oil  Scientific name : Cinnamomum verum, Cinnamomum cassia, Cinnamomum zeylanicum, Cinnamomum loureirii  Common name : Cinnamon, Cinnamomon, Ceylon cinnamon, Chinese cinnamon, Chinese cassia, Saigon cinnamon  Molecular formula : C9H8O  Molecular weight : 132.383 g/mol  IUPAC name : 2-methoxy-4-prop-2-enylphenol  Solubility : Soluble in 1-2.5 vols of 70% alcohol  Specific gravity : 1.020-1.030 at 20°C  Refractive index : 1.568-1.535 at 20°C Introduction
  • 5.  Cinnamon Introduction Structure of cinnamon oil [67]Cinnamon sticks, powder and dried flowers [67]
  • 6.  Principle of microwave heating [65] Microwave-assisted extraction
  • 7. Microwave irradiation effect [65] Microwave-assisted extraction Before After
  • 8. Representation of two heating modes : [31] Microwave-assisted extraction
  • 9.  Important parameters in MAE  Selection of Solvent  Solvent-to-Feed Ratio (S/F)  Extraction time and cycle  Microwave power level  Extraction temperature  Stirring Microwave-assisted extraction
  • 10. Selection of solvents [65] Microwave-assisted extraction Solvent name Dielectric constant Boiling point (°C) Viscosity (cP) Acetone 20.7 56 0.30 Ethanol 24.3 78 0.69 Hexane 1.89 69 0.30 Methanol 32.6 65 0.54 2-Propanol 19.9 82 0.30 Water 78.3 100 0.89 Ethyl acetate 6.02 77 0.43
  • 11. Research scholars or authors was used only HD and SCFE for extraction of cinnamon oil Optimization method not applied Not use water as a solvent Research gap from literature survey
  • 12.  Plant material  1 kg Cinnamon bark collected Pre-treatment procedure  Washed into distilled water  Dried in open air for 1 day at temp. about 25-30°C  After drying Cinnamon crushed and grinded  After grinding Cinnamon powder was sieved by mechanical sieve shaker  Collect the Cinnamon powder which average particle size was less than 100 μm Experimental work
  • 13.  Experimental setup Experimental work  RAGA’s Microwave system  20 liter capacity  Maximum output power : 700 W  Input power source : 250 V – 50 Hz  Microwave frequency : 2450 MHz  Cavity dimensions : 306 × 𝟐𝟏𝟏 × 320 mm  Microwave power level : 140 W (20%) 210 W (30%) 240 W (35%) 280 W (40%) 350 W (50%) 420 W (60%) 450 W (65%) 490 W (70%) 560 W (80%) 700 W (100%)
  • 14.  Taguchi method o Developed by Genichi taguchi o It is a statistical method sometime called as Robust design method o Employed this method for improve products or manufacturing processes o Powerful and effective method to solve challenging quality problems o Depending upon objectives three norms of mean square deviation 1. Nominal the better 2. Smaller the better 3. Larger the better Design of Experiment (DOE)
  • 15.  Factors and their levels Design of Experiment (DOE) Factors Levels 1 2 3 4 A Solid loading (gm) 20 25 30 35 B Solvent quantity (ml) 200 250 300 350 C Microwave power level (W) 280 420 490 700 D Extraction time (min) 15 20 25 30
  • 16. Design of Experiment (DOE) Run A B C D Solid loading (gm) Solvent quantity (ml) Microwave power level (W) Extraction time (min) 1 1 1 1 1 20 200 280 15 2 1 2 2 2 20 250 420 20 3 1 3 3 3 20 300 490 25 4 1 4 4 4 20 350 700 30 5 2 1 2 3 25 200 420 25 6 2 2 1 4 25 250 280 30 7 2 3 4 1 25 300 700 15 8 2 4 3 2 25 350 490 20 9 3 1 3 4 30 200 490 30 10 3 2 4 3 30 250 700 25 11 3 3 1 2 30 300 280 20 12 3 4 2 1 30 350 420 15 13 4 1 4 2 35 200 700 20 14 4 2 3 1 35 250 490 15 15 4 3 2 4 35 300 420 30 16 4 4 1 3 35 350 280 25
  • 17. Results Experimen t no. Solid loading (gm) Solvent quantity (ml) Microwave power level (W) Extraction time (min) Yield (%, w/w) 1 20 200 280 15 2.741 2 20 250 420 20 2.416 3 20 300 490 25 2.395 4 20 350 700 30 3.516 5 25 200 420 25 2.826 6 25 250 280 30 2.734 7 25 300 700 15 3.163 8 25 350 490 20 3.194 9 30 200 490 30 3.558 10 30 250 700 25 4.169 11 30 300 280 20 2.892 12 30 350 420 15 3.159 13 35 200 700 20 4.056 14 35 250 490 15 3.318 15 35 300 420 30 3.449 16 35 350 280 25 2.817
  • 22. Fourier transform infrared spectroscopy (FTIR) Results
  • 23. Fourier transform infrared spectroscopy (FTIR) Sample : Cinnamon powder before extraction Results Sr. no Wavenumber (cm-1) Functional group names 1 1004 Esters 2 1235 Ethers 3 1431 Nitro group 4 1555 Nitro group 5 1612 Alkenes, Amides, Amines 6 1654 Ketone, Esters, Alkenes 7 2924 Alkanes 8 3261 Alkynes, Phenols, Hydrogen O-H bonded 9 3732 Amines (Primary), Phenol
  • 24. Fourier transform infrared spectroscopy (FTIR) Results
  • 25.  Fourier transform infrared spectroscopy (FTIR) Sample : Cinnamon powder after extraction Results Sr. no Wavenumber (cm-1) Functional group names 1 1026 Esters, Ethers 2 1089 Ethers 3 1613 Alkenes 4 3369 Carboxylic acids, Phenols
  • 27.  Gas chromatography–mass spectrometry (GC–MS) Results Probable Compound Retention time (min) Area (%) 𝛽-Methyl benzenepropanal 17.818 0.308 Cinnamaldehyde 21.644 89.324 Copaene 24.869 0.807 Coumarin 27.611 0.675 (𝜀)-Cinnamyl acetate 28.002 0.273 𝛾 −Cadinene 29.177 0.325 𝛼 −Muurolene 30.236 1.569 𝛿 −Cadinene 31.236 2.950 𝛼 −Cadinene 31.653 2.225 Cadinadiene-1,4 35.373 0.404 𝛼 −Amorphene 35.933 0.761 𝛼 −Cadinol 36.094 0.383
  • 28. ANOVA (Analysis of variance) Results Results
  • 29. ANOVA (Analysis of variance) Results Results
  • 30.  ANN (Artificial neural network) Results
  • 31.  Coefficient of Regression for ANN in case of 7 hidden neurons, FFBP algorithm and log sigmoid transfer function Results R^2 = 99.527 %
  • 32.  Final model equation Yield = 2.37 + [ 0.433 X1 – 0.00905 X2 – 0.00805 X3 – 0.3244 X4 – 000869 X1^2 + 0.00297 X4^2 + 0.000225 X1*X3 + 0.000463 X2*X4 + 0.000182 X3*X4 Where, X1 : Solid loading (gm) X2 : Solvent quantity (ml) X3 : Microwave power level (W) X4 : Extraction time (min) Results
  • 33.  Optimum yield from predictive model by using ANN Results Solid Loading (gm) 35 Solvent quantity (ml) 250 Microwave power level (W) 700 Extraction time (min) 30 Predictive yield (%,w/w) 4.837 Actual yield (%,w/w) 4.814
  • 34.  Hydrodistillation method results Results Experiment no. Solid loading (gm) Solvent quantity (ml) Extraction time (min) Yield (%, w/w) 1 30 250 30 1.093 2 60 1.472 3 90 1.952 4 120 2.513 5 150 2.806 6 180 3.108
  • 35.  Gas chromatography–mass spectrometry (GC–MS) Results Probable Compound Retention time (min) Area (%) Benzaldehyde 18.916 2.207 Borneol 20.584 1.529 Cinnamaldehyde 23.047 62.60 Coumarin 26.087 1.298 𝛽-Cadinene 29.475 5.204 Trans-𝛼-Bengamotene 29.975 5.847 Camphor 30.236 3.742 𝛼-Humulene 31.380 2.950 Eugerol 32.065 4.603 Guaiacol 32.904 0.865 𝛼-Terpineol 34.237 3.507 Cubenol 34.564 5.602
  • 37.  Comparison of MAE with HD Results Parameter MAE HD Solid loading (gm) 30 30 Solvent quantity (ml) 250 250 Microwave power level (W) 700 - Extraction time (min) 30 180 Maximum yield (%, w/w) 4.169 3.108
  • 38. Microwave-assisted extraction is a rapid extraction technique for extraction of an essential oil. In MAE method optimum conditions were obtained at solid loading 35 gm, solvent quantity 250 ml, microwave power level 700 W and extraction time 30 min. Microwave power level is more significant parameter for rapid extraction. MAE is more cost effective and environmental friendly technique. Conclusion
  • 39. To study the various properties of cinnamon oil I. Anti-oxidant activity II. Anti-microbial activity III. Zone of inhibition Future scope of work
  • 40. 1. Y. Li, D. Kong, and H. Wu, “Analysis and evaluation of essential oil components of cinnamon barks using GC–MS and FTIR spectroscopy,” Industrial Crops and Products, vol. 41, pp. 269–278, Jan. 2013. 2. R. Li, Y. Wang, Z.-T. Jiang, and S. Jiang, “Chemical Composition of the Essential Oils of Cinnamomum loureirii Nees. From China Obtained by Hydrodistillation and Microwave-assisted Hydrodistillation,” Journal of Essential Oil Research, vol. 22, no. 2, pp. 129–131, Mar. 2010. 3. E. Schmidt et al., “Composition and antioxidant activities of the essential oil of cinnamon (Cinnamomum zeylanicum Blume) leaves from Sri Lanka,” Journal of Essential Oil Bearing Plants, vol. 9, no. 2, pp. 170–182, 2006. 4. N. Jeyaratnam, A. H. Nour, R. Kanthasamy, A. H. Nour, A. R. Yuvaraj, and J. O. Akindoyo, “Essential oil from Cinnamomum cassia bark through hydrodistillation and advanced microwave assisted hydrodistillation,” Industrial Crops and Products, vol. 92, pp. 57–66, Dec. 2016. References
  • 41. 5. N. N. Kasim, S. N. A. S. Ismail, N. D. Masdar, F. Ab Hamid, and W. I. Nawawi, “Extraction and Potential of Cinnamon Essential Oil towards Repellency and Insecticidal Activity,” International Journal of Scientific and Research Publications, vol. 4, no. 7, 2014. 6. M. R. Thakker, J. K. Parikh, and M. A. Desai, “Microwave assisted extraction of essential oil from the leaves of Palmarosa: Multi-response optimization and predictive modelling,” Industrial Crops and Products, vol. 86, pp. 311–319, Aug. 2016. 7. N. Jeyaratnam, A. H. Nour, and J. O. Akindoyo, “The potential of Microwave Assisted Hydrodistillation in extraction of essential oil from cinnamomum cassia (cinnamon),” 2006. References
  • 43.  Satish Kumar M, “Optimization of Yield for Extraction of an Essential Oil from Cinnamon using Microwave-Assisted Extraction”, Journal of Chromatography & Separation techniques, 2017. ISSN:2157-7064. Paper publication