OPTIMIZATION OF THE C:N RATIO AND INOCULUM DENSITY ON LIPID PRODUCTION FROM SCENEDESMUS SP. THROUGH TWO STEP CULTIVATION USING RESPONSE SURFACE METHODOLOGY (RSM)
Lipid production in microalgae can be influenced by the C :N ratio, inoculum density, and salinity stress. To enhance lipid production, a two-stage cultivation system can be applied. The first stage of cultivation is conducted to produce biomass. In the second stage, cultivation is directed towar...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/83072 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Lipid production in microalgae can be influenced by the C :N ratio, inoculum
density, and salinity stress. To enhance lipid production, a two-stage cultivation
system can be applied. The first stage of cultivation is conducted to produce
biomass. In the second stage, cultivation is directed towards lipid production by
adding environmental and nutritional stressors. In this study, the microalga
Scenedesmus sp. was cultivated in two stages, with the first stage being
photoautotrophic and the second stage being photoheterotrophic. In the second
stage of cultivation, salinity stress was applied by adding 10 g/L NaCl, and
variations in the C:N ratio and inoculum density were implemented to determine
the optimal conditions for lipid production. The maximum lipid content and dry
biomass weight under optimal conditions will be determined using a stochastic
model prediction based on RSM and response optimizer. The C:N ratio variations
were achieved by adding glucose at appropriate concentrations to achieve C:N
ratios of 3, 35, and 70 while keeping the nitrogen concentration constant. Inoculum
density variations used were Log 6.5, 7, and 7.5 cells/mL in the stationary phase.
This study found that the maximum lipid content and dry biomass weight were
directly proportional to the C:N ratio and inoculum density. The results of this study
predicted that a C:N ratio of 36.5 and an inoculum density of Log 6.94 cells/mL
would result in optimal responses for maximum lipid content and dry biomass
weight, which are 71.98 (%(w/w)) and 1.615 (g/L), respectively |
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