Evaluation of the interaction of temperature and light intensity on the growth of Phaeodactylum tricornutum: Kinetic modeling and optimization

2020 ◽  
Vol 154 ◽  
pp. 107456
Author(s):  
Duygu Ova Ozcan ◽  
Bikem Ovez
Keyword(s):  
Light Intensity ◽  
Kinetic Modeling ◽  
Phaeodactylum Tricornutum ◽  
Modeling And Optimization

scholarly journals Phaeodactylum Trıcornutum Kültürlerinde Biyomas Tahmini

2017 ◽  
Vol 5 (2) ◽  
pp. 182
Author(s):  
Burcu Ak ◽  
Gökhan Tamer Kayaalp ◽  
Oya Işık ◽  
Melis Çelik Güney
Keyword(s):  
Light Intensity ◽  
Chlorophyll A ◽  
Optical Density ◽  
Phaeodactylum Tricornutum ◽  
Dry Matter ◽  
Nitrogen Deficiency ◽  
Regression Equation ◽  
Control Group ◽  
Analysis Method ◽  
The Mathematical Model

Phaeodactylum tricornutum is the microalgae that is known to produce lipid. In this study, it was aimed to estimate the microalgae Phaeodactylum tricornutum dry matter cultured in the conditions of nitrogen deficiency as a stress factor, in outdoor, in photo bioreactors, by using multiple regression analysis method. In this study, diatom Phaeodactylum tricornutum (Bohlin) was cultured medium of which N was reduced by 50% and with 20% inoculation ratio. The light intensity, temperature, optical density and chlorophyll a, were measured daily. The mathematical model was formed for control group and 50 % of the N applied to the group using optical density, temperature, light intensity, chlorophyll a and without chlorophyll a. The regression equation of control group was estimated. The R2 value of control group was found 95.1% and statistically significant. Then, the regression equation was estimated for control group without chlorophyll a. The R2 value of this equation was found 94.0% and statistically significant. And then, the regression equation was estimated in 50% nitrogen. The R2 value of control group was found 92.4% and statistically significant. Finally, the regression equation was estimated in 50% nitrogen deficiency without chlorophyll a. The R2 value of this equation was found 91.7% and statistically significant.

Thermo-kinetic modeling and optimization of the sulfur recovery unit thermal stage

2016 ◽  
Vol 103 ◽  
pp. 1095-1104 ◽  
Author(s):  
Samane Zarei ◽  
Hamid Ganji ◽  
Maryam Sadi ◽  
Mehdi Rashidzadeh
Keyword(s):  
Kinetic Modeling ◽  
Sulfur Recovery ◽  
Modeling And Optimization ◽  
Sulfur Recovery Unit ◽  
Recovery Unit

Kinetic modeling and optimization of the operating condition of MTO process on SAPO-34 catalyst

2012 ◽  
Vol 18 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Ali Taheri Najafabadi ◽  
Shohreh Fatemi ◽  
Morteza Sohrabi ◽  
Maede Salmasi
Keyword(s):  
Kinetic Modeling ◽  
Operating Condition ◽  
Modeling And Optimization ◽  
Mto Process

Kinetic modeling and optimization of biomass pyrolysis for bio-oil production

2016 ◽  
Vol 38 (14) ◽  
pp. 2065-2071 ◽  
Author(s):  
Hamayoun Mahmood ◽  
Muhammad Moniruzzaman ◽  
Suzana Yusup ◽  
Mohammad Ilyas Khan ◽  
Maria Jafar Khan
Keyword(s):  
Kinetic Modeling ◽  
Oil Production ◽  
Biomass Pyrolysis ◽  
Modeling And Optimization ◽  
Bio Oil
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