The research's goal is to find the best conditions for making a biosurfactant from bacteria by looking at the molecular structure of the biosurfactant made, the pH and salinity of the medium, and the amount of olive oil used as a carbon source. This research is descriptive/experimental research for screening and characterization of biosurfactants, while experimental research is for optimizing biosurfactant production. Optimization in this research used a completely randomized design (CRD). The parameter used in biosurfactant optimization is IE24. According to research on the bacterium P. aestusnigri NNA 0-9 from mangroves, the best conditions for biosurfactant production were using a 5% concentration of olive oil as a carbon source at pH 7 without the addition of NaCl and time incubation for 6 days. Based on the FTIR results, the biosurfactant molecular structure analysis shows that the compound that was made is rhamnolipid. The conclusions of this study provide a detailed description of the optimal parameters required for biosurfactant production while also providing identification of the molecular structure produced by the bacterium P. aestusnigri NNA 0-9 from mangrove. These findings provide a strong foundation for further development regarding the use of biosurfactants in industrial and environmental applications. In the optimization stage, statistical approach methods such as Response Surface Methodology (RSM) need to be used to obtain an optimization model
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Hamzah et al. (2024) studied this question.
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