OPTIMIZATION OF SALINITY AND INOCULUM DENSITY ON LIPID PRODUCTION FROM SCENEDESMUS SP. IN TWO-STEP CULTIVATION WITH RESPONSE SURFACE METHODOLOGY (RSM) APPROACH

In this study, Scenedesmus sp. was cultivated using a two-step cultivation method. In the first stage, Scenedesmus was cultured with the addition of inorganic carbon in the form of CO2 for the first three days. Subsequently, in the second stage, Scenedesmus sp. was cultivated with the addition of...

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Main Author: Rahel Limawan, Jane
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/83007
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:83007
spelling id-itb.:830072024-07-29T20:39:17ZOPTIMIZATION OF SALINITY AND INOCULUM DENSITY ON LIPID PRODUCTION FROM SCENEDESMUS SP. IN TWO-STEP CULTIVATION WITH RESPONSE SURFACE METHODOLOGY (RSM) APPROACH Rahel Limawan, Jane Indonesia Final Project Inoculum density, respons surface methodology, salinity, Scenedesmus sp, two-step cultivation. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/83007 In this study, Scenedesmus sp. was cultivated using a two-step cultivation method. In the first stage, Scenedesmus was cultured with the addition of inorganic carbon in the form of CO2 for the first three days. Subsequently, in the second stage, Scenedesmus sp. was cultivated with the addition of organic carbon in the form of glucose at 24 g.L-1 . The cultivation conditions varied by inoculum density and salinity during the second stage. Inoculum density variations were log 6.5, log 7, and log 7.5 cells/mL, while salinity variations used were 0.5, 1, and 2% (w/v). The Response Surface Methodology (RSM) was used for data collection, and response optimization was performed using a response optimizer with Minitab software. This research aimed to determine the stochastic equation to be used for optimizing the inoculum density and salinity variations that would enhance lipid production from Scenedesmus sp. Based on the study, inoculum density and salinity significantly influenced the response variables such as sugar consumption rate (g.L-1 .day-1 ), maximum biomass (g), and lipid concentration (% w/w). RSM analysis indicated that inoculum density positively correlated with lipid concentration (% w/w) and maximum biomass production (g.L-1 ). The optimal inoculum density and salinity, determined through response optimization and stochastic equation, to enhance maximum biomass and lipid concentration (% w/w) were log 6.99 cells.mL-1 and 2% respectively. These values resulted in a maximum biomass of 1,4 g.L-1 and a lipid concentration of 61.8% from Scenedesmus sp. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description In this study, Scenedesmus sp. was cultivated using a two-step cultivation method. In the first stage, Scenedesmus was cultured with the addition of inorganic carbon in the form of CO2 for the first three days. Subsequently, in the second stage, Scenedesmus sp. was cultivated with the addition of organic carbon in the form of glucose at 24 g.L-1 . The cultivation conditions varied by inoculum density and salinity during the second stage. Inoculum density variations were log 6.5, log 7, and log 7.5 cells/mL, while salinity variations used were 0.5, 1, and 2% (w/v). The Response Surface Methodology (RSM) was used for data collection, and response optimization was performed using a response optimizer with Minitab software. This research aimed to determine the stochastic equation to be used for optimizing the inoculum density and salinity variations that would enhance lipid production from Scenedesmus sp. Based on the study, inoculum density and salinity significantly influenced the response variables such as sugar consumption rate (g.L-1 .day-1 ), maximum biomass (g), and lipid concentration (% w/w). RSM analysis indicated that inoculum density positively correlated with lipid concentration (% w/w) and maximum biomass production (g.L-1 ). The optimal inoculum density and salinity, determined through response optimization and stochastic equation, to enhance maximum biomass and lipid concentration (% w/w) were log 6.99 cells.mL-1 and 2% respectively. These values resulted in a maximum biomass of 1,4 g.L-1 and a lipid concentration of 61.8% from Scenedesmus sp.
format Final Project
author Rahel Limawan, Jane
spellingShingle Rahel Limawan, Jane
OPTIMIZATION OF SALINITY AND INOCULUM DENSITY ON LIPID PRODUCTION FROM SCENEDESMUS SP. IN TWO-STEP CULTIVATION WITH RESPONSE SURFACE METHODOLOGY (RSM) APPROACH
author_facet Rahel Limawan, Jane
author_sort Rahel Limawan, Jane
title OPTIMIZATION OF SALINITY AND INOCULUM DENSITY ON LIPID PRODUCTION FROM SCENEDESMUS SP. IN TWO-STEP CULTIVATION WITH RESPONSE SURFACE METHODOLOGY (RSM) APPROACH
title_short OPTIMIZATION OF SALINITY AND INOCULUM DENSITY ON LIPID PRODUCTION FROM SCENEDESMUS SP. IN TWO-STEP CULTIVATION WITH RESPONSE SURFACE METHODOLOGY (RSM) APPROACH
title_full OPTIMIZATION OF SALINITY AND INOCULUM DENSITY ON LIPID PRODUCTION FROM SCENEDESMUS SP. IN TWO-STEP CULTIVATION WITH RESPONSE SURFACE METHODOLOGY (RSM) APPROACH
title_fullStr OPTIMIZATION OF SALINITY AND INOCULUM DENSITY ON LIPID PRODUCTION FROM SCENEDESMUS SP. IN TWO-STEP CULTIVATION WITH RESPONSE SURFACE METHODOLOGY (RSM) APPROACH
title_full_unstemmed OPTIMIZATION OF SALINITY AND INOCULUM DENSITY ON LIPID PRODUCTION FROM SCENEDESMUS SP. IN TWO-STEP CULTIVATION WITH RESPONSE SURFACE METHODOLOGY (RSM) APPROACH
title_sort optimization of salinity and inoculum density on lipid production from scenedesmus sp. in two-step cultivation with response surface methodology (rsm) approach
url https://digilib.itb.ac.id/gdl/view/83007
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