scholarly journals Effects of Process Variables in Semi-continuous Cultivation of Chlorella Minutissima on the Biomass Composition

2021 ◽  
Author(s):  
Geronimo Virginio Tagliaferro ◽  
Wallyson Ribeiro dos Santos ◽  
Júlio Cesar dos Santos ◽  
Priscila Pereira ◽  
Carolina Roma ◽  
...  
Keyword(s):  
Landfill Leachate ◽  
High Selectivity ◽  
Specific Growth ◽  
Biomass Productivity ◽  
Continuous Cultivation ◽  
Influential Factor ◽  
Biomass Composition ◽  
Process Variables ◽  
Airlift Photobioreactor ◽  
Maximum Content

Abstract The biomass composition of Chlorella minutissima 26a was evaluated in different conditions for the microalgae cultured in landfill leachate in airlift photobioreactor operated in semi-continuous mode. The effects of the following factors in cells composition were evaluated: landfill leachate concentration (LC), CO2 percentual flow added in the gas stream (GP), aeration flow in the reactor (AF) and feed flowrate (FR). A Taguchi L9 orthogonal arrangement was used to evaluate the effects of those four factors on the following response variables: Biomass Productivity (BP), Lipid Productivity (LP), Carbohydrate Productivity (CP) and Proteins Productivity (PP). Results showed that the microalgae had high selectivity to produce proteins, reaching a maximum content of 69,60% in the following conditions: LC: 10%, GP: null, AF: 0,30 vvm and FR: 0.9 µmax vvm. The highest contents of lipid and carbohydrate were 17.4% (LC: 15%, GP: null, AF: 0,45 vvm and FR: 0.7 µmax vvm) and 11.6% (LC: 10%, GP: 15%, AF: 0,15 vvm and FR: 0.7 µmax vvm.), respectively, both values achieved at the two experiment with the highest values of specific growth rate (0.44 d-1 and 0.47 d-1, respectively). Statistical analysis showed LC was the most influential factor in the cell chemical composition, being significant (p<0,1) in the productivity of lipids, proteins and carbohydrates, with high values observed using between 5 and 10% of LC in the medium. GP did not show significance for any response studied, while the variables AF and FR showed significance in the productivity of proteins.

Continuous cultivation of Chlorella minutissima 26a in landfill leachate-based medium using concentric tube airlift photobioreactor

2019 ◽  
Vol 41 ◽  
pp. 101549
Author(s):  
Geronimo Virginio Tagliaferro ◽  
Hélcio José Izário Filho ◽  
Anuj Kumar Chandel ◽  
Silvio Silvério da Silva ◽  
Messias Borges Silva ◽  
...  
Keyword(s):  
Landfill Leachate ◽  
Continuous Cultivation ◽  
Airlift Photobioreactor

Surface Roughness Scrutinizaton with RIE CF4+Argon Gaseous on Platinum Deposited Wafer

2014 ◽  
Vol 487 ◽  
pp. 71-74
Author(s):  
Zaliman Sauli ◽  
Vithyacharan Retnasamy ◽  
Aaron Koay Terr Yeow ◽  
Goh Siew Chui ◽  
K. Anwar ◽  
...  
Keyword(s):  
Surface Roughness ◽  
High Temperature ◽  
Influential Factor ◽  
Process Variables ◽  
Negative Effects ◽  
Working Pressure ◽  
Bias Power ◽  
High Temperature And Pressure ◽  
Temperature And Pressure ◽  
Controllable Process

Aluminium metallization has a disadvantage when it comes to high-end applications as it cannot withstand the high temperature and pressure. This paper studies the factors that affect the surface roughness on a Platinum deposited wafer after reactive ion etching (RIE) using a combination of CF4and Argon gaseous. A total of three controllable process variables, with 8 sets of experiments were scrutinized using a systematically designed design of experiment (DOE). The three variables in the investigation are ICP power, Bias power, and working pressure. The estimate of the effect calculated for ICP power, Bias power, and working pressure are-6.3608, -3.2858, and-5.394 respectively. All three factors gave negative effects. This implies that the surface roughness decreases when ICP power, Bias power, and working pressure is high. The ICP Power is the most influential factor followed by working pressure, and bias power.

scholarly journals Comparison of Biomass Productivity of Two Green Microalgae through Continuous Cultivation

KSBB Journal ◽  
2012 ◽  
Vol 27 (2) ◽  
pp. 97-102
Author(s):  
Geun-Ho Gim ◽  
Young-Mi Lee ◽  
Duk-Jin Kim ◽  
Sang-Hwa Jeong ◽  
Si-Wouk Kim
Keyword(s):  
Biomass Productivity ◽  
Continuous Cultivation ◽  
Green Microalgae

Continuous cultivation of Chlorella minutissima 26a in a tube-cylinder internal-loop airlift photobioreactor to support 3G biorefineries

2019 ◽  
Vol 130 ◽  
pp. 439-445 ◽  
Author(s):  
Geronimo Virginio Tagliaferro ◽  
Hélcio José Izário Filho ◽  
Anuj Kumar Chandel ◽  
Silvio Silvério da Silva ◽  
Messias Borges Silva ◽  
...  
Keyword(s):  
Continuous Cultivation ◽  
Internal Loop ◽  
Airlift Photobioreactor

scholarly journals Effect of the Carbon Concentration, Blend Concentration, and Renewal Rate in the Growth Kinetic ofChlorellasp.

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Adriano Arruda Henrard ◽  
Gabriel Martins da Rosa ◽  
Luiza Moraes ◽  
Michele Greque de Morais ◽  
Jorge Alberto Vieira Costa
Keyword(s):  
Specific Growth ◽  
Biomass Productivity ◽  
Cost Effective ◽  
Batch Cultivation ◽  
Maximum Specific Growth Rate ◽  
Residual Water ◽  
Microalgae Cultivation ◽  
Renewal Rate ◽  
Alternative Sources ◽  
Semicontinuous Cultivation

The microalgae cultivation can be used as alternative sources of food, in agriculture, residual water treatment, and biofuels production. Semicontinuous cultivation is little studied but is more cost-effective than the discontinuous (batch) cultivation. In the semicontinuous cultivation, the microalga is maintained in better concentration of nutrients and the photoinhibition by excessive cell is reduced. Thus, biomass productivity and biocompounds of interest, such as lipid productivity, may be higher than in batch cultivation. The objective of this study was to examine the influence of blend concentration, medium renewal rate, and concentration of sodium bicarbonate on the growth ofChlorellasp. during semicontinuous cultivation. The cultivation was carried out in Raceway type bioreactors of 6 L, for 40 d at 30°C, 41.6 µmol m−2 s−1, and a 12 h light/dark photoperiod. Maximum specific growth rate (0.149 d−1) and generating biomass (2.89 g L−1) were obtained when the blend concentration was 0.80 g L−1, the medium renewal rate was 40%, and NaHCO3was 1.60 g L−1. The average productivity (0.091 g L−1 d−1) was achieved with 0.8 g L−1of blend concentration and NaHCO3concentration of 1.6 g L−1, independent of the medium renewal rate.

Surface Roughness Analysis on Reactive Ion Etched Aluminium Deposited Wafer

2014 ◽  
Vol 487 ◽  
pp. 141-144
Author(s):  
Zaliman Sauli ◽  
Vithyacharan Retnasamy ◽  
Aaron Koay Terr Yeow
Keyword(s):  
Surface Roughness ◽  
Design Of Experiment ◽  
The Other ◽  
Influential Factor ◽  
Rf Power ◽  
Process Variables ◽  
Negative Effects ◽  
Ion Etching ◽  
Roughness Analysis ◽  
Controllable Process

This paper investigates the factors that affect the surface roughness on an Aluminium deposited wafer after reactive ion etching (RIE) using a combination of Tetrafluoromethane (CF4) and Oxygen (O2) gaseous. A total of four controllable process variables, with 16 sets of experiments were scrutinized using an orderly designed design of experiment (DOE). The four variables in the investigation are the composition of CF4 gas, the composition of O2 gas, RF power, and time. The estimate of effect calculated for the composition of CF4 gas, the composition of O2 gas, RF power, and time are-0.9813, -0.7488, -0.0438, and 4.7138 respectively. All factors gave negative effects except for time. This implies that the surface roughness decreases when the content of CF4, O2, and RF power is high. The results indicate that time is the most influential factor compared to the other three factors and is directly proportional to the surface roughness of the etched Aluminium deposited wafer.

Main Effects Study on Plasma Etched Aluminium Metallization

2014 ◽  
Vol 487 ◽  
pp. 195-198
Author(s):  
Zaliman Sauli ◽  
Vithyacharan Retnasamy ◽  
Aaron Koay Terr Yeow
Keyword(s):  
Surface Roughness ◽  
Design Of Experiment ◽  
Influential Factor ◽  
Gas Composition ◽  
Rf Power ◽  
Process Variables ◽  
Negative Effects ◽  
Controllable Process ◽  
Main Effects

Main effects contributing to the quality of surface roughness on an etched aluminium metallization wafer using Reactive Ion Etching (RIE) was studied. A total of three controllable process variables, with eight sets of experiments were scrutinized using an orderly designed design of experiment (DOE). The three variables in the investigation are composed of CF4 gas, composed of O2 gas and RF power while time is constant. The estimate of effect calculated for composition of CF4 gas, composition of O2 gas and RF power are-2.205, -0.975, and-0.525 respectively. All factors gave negative effects. This implies that the surface roughness increases when the content of CF4, O2, and RF power is lower. The results suggest that the composition of CF4 gaseous as the most influential factor as its main effects plot has the steepest slope followed by oxygen and RF power.

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