Curated Dataset Supporting "Scaling glucose-based rhamnolipid production with engineered Pseudomonas putida: Environmental and economic challenges from plasmid-based pilot test to antibiotic-free industry simulation"

Read full text
Authors: Sebastian Ospina, Delphine Devriese, Igor De Las Heras, Evelien Uitterhaegen, Karel De Winter, Wim Soetaert, Patricio Cano, Manuel Salvador, German Cavero
Cited by: 0

Abstract

This dataset provides a comprehensive set of tables describing the process simulation and techno-economic analysis of rhamnolipid biosurfactant production through microbial fermentation. The dataset encompasses material and energy balances, operating parameters, capital investment estimates, and itemized operating cost projections for a hypothetical industrial-scale facility. Simulations were carried out using SuperPro Designer 14, and data were generated using process simulation methodologies and standardized cost estimation frameworks applicable to biotechnological manufacturing. The dataset includes normalized material consumption factors, section-level process metrics, component physicochemical properties, and aggregated economic indicators suitable for comparative techno-economic assessments, sensitivity analysis, educational case studies, and preliminary feasibility evaluations in biosurfactant production and bioprocess engineering.

Fields of Study & Subjects

Microbial bioremediation and biosurfactants Microbial Metabolic Engineering and Bioproduction Environmental Chemistry and Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Language
EN
Document type
Dataset