ArticleBioprocess and biosystems engineering2025
Optimizing rhamnolipid bio-surfactant production in a bioreactor using waste glycerol.
Article in Bioprocess and biosystems engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Production of Biosurfactant byInternational journal of molecular sciences · 2026Article
- Prospects and challenges regarding biosurfactants in advancing the petroleum industry.Frontiers in bioengineering and biotechnology · 2025Review
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Authors and funding
5 authors.
Funding
Abstract
Rhamnolipids (RLs) are glycolipid bio-surfactants produced by microorganisms with applications in industries, including environmental remediation and oil recovery, comparable to chemical surfactants. However, the reproducibility and scalability of RLs production in shake flask systems limit their industrial use, prompting the need for advanced bioreactor systems. This study aims to address this challenge by optimizing RLs production by Pseudomonas aeruginosa RS6 using treated waste glycerol (TWG), a low-cost by-product of biodiesel production, as a carbon source. Response surface methodology (RSM) was employed to evaluate the combined impact of TWG concentration, aeration, and agitation rates on RLs production and microbial behavior within a bioreactor system. Optimal conditions were then determined using central composite design (CCD) and analysis of variance (ANOVA). ANOVA revealed that the quadratic model significantly predicts RLs production (p < 0.0001). TWG concentration significantly influences RLs yield (p < 0.05), while TWG concentration and agitation rates significantly affect biomass production (p < 0.05). Optimal conditions were 2.827% TWG, 1.02 vvm aeration, and 443 rpm agitation. The model's validity was confirmed, yielding 11.32 g/L RLs and 5.38 g/L biomass. Kinetic studies showed Y
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.