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. 2024 Feb 23:12:1347452.
doi: 10.3389/fbioe.2024.1347452. eCollection 2024.

Life cycle assessment for early-stage process optimization of microbial biosurfactant production using kinetic models-a case study on mannosylerythritol lipids (MEL)

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Life cycle assessment for early-stage process optimization of microbial biosurfactant production using kinetic models-a case study on mannosylerythritol lipids (MEL)

Lars Bippus et al. Front Bioeng Biotechnol. .

Abstract

Introduction: This study assesses the environmental impacts of mannosylerythritol lipids (MELs) production for process optimization using life cycle assessment (LCA). MELs are glycolipid-type microbial biosurfactants with many possible applications based on their surface-active properties. They are generally produced by fungi from the family of Ustilaginaceae via fermentation in aerated bioreactors. The aim of our work is to accompany the development of biotechnological products at an early stage to enable environmentally sustainable process optimization. Methods: This is done by identifying hotspots and potentials for improvement based on a reliable quantification of the environmental impacts. The production processes of MELs are evaluated in a cradle-to-gate approach using the Environmental Footprint (EF) 3.1 impact assessment method. The LCA model is based on upscaled experimental data for the fermentation and purification, assuming the production at a 10 m³ scale. In the case analyzed, MELs are produced from rapeseed oil and glucose, and purified by separation, solvent extraction, and chromatography. Results: The results of the LCA show that the provision of substrates is a major source of environmental impacts and accounts for 20% of the impacts on Climate Change and more than 70% in the categories Acidification and Eutrophication. Moreover, 33% of the impacts on Climate Change is caused by the energy requirements for aeration of the bioreactor, while purification accounts for 42% of the impacts respectively. For the purification, solvents are identified as the main contributors in most impact categories. Discussion: The results illustrate the potentials for process optimization to reduce the environmental impacts of substrate requirements, enhanced bioreactor aeration, and efficient solvent use in downstream processing. By a scenario analysis, considering both experimental adaptations and prospective variations of the process, the laboratory development can be supported with further findings and hence efficiently optimized towards environmental sustainability. Moreover, the presentation of kinetic LCA results over the fermentation duration shows a novel way of calculating and visualizing results that corresponds to the way of thinking of process engineers using established environmental indicators and a detailed system analysis. Altogether, this LCA study supports and demonstrates the potential for further improvements towards more environmentally friendly produced surfactants.

Keywords: biosurfactant; biotechnology; downstream processing; fermentation; life cycle assessment (LCA); mannosylerythritol lipids (MELs); prospective LCA.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
General structure of di-acylated mannosylerythritol lipids (MEL). The different variants MEL-A, -B, -C and -D (MEL-A: R1 = R2 = Ac; MEL-B: R1 = Ac, R2 = OH; MEL-C: R1 = OH, R2 = Ac, MEL-D: R1 = R2 = OH) with varying length of fatty acid side-chains at C2’ and C3’ (m = 2–16, n = 2–10) depend on the microorganism used for their production (Beck et al., 2019a).
FIGURE 2
FIGURE 2
Process flow chart for MEL fermentation and purification with system boundaries.
FIGURE 3
FIGURE 3
Schematic illustration of the bioreactor used for MEL production with main material flows representing the base case (scenario 3) and the process parameters that were varied during the scenario analysis.
FIGURE 4
FIGURE 4
Process steps of MEL purification, mass flows are normalized to the production of 1 kg pure MEL.
FIGURE 5
FIGURE 5
Results of the contribution analysis for the fermentation and purification processes for MEL production for base case scenario FB1-Exp (scenario 3) in the impact category EF 3.1 Climate Change, total.
FIGURE 6
FIGURE 6
Results of the contribution analysis for the fermentation and purification processes for MEL production for base case scenario FB1-Exp (scenario 3) for selected EF 3.1 impact assessment categories and primary energy demand.
FIGURE 7
FIGURE 7
Scenario analysis for process optimization scenarios for the fermentation and purification processes for MEL production in the impact category EF 3.1 Climate Change, total, impacts are normalized to the base case scenario FB1-Exp (scenario 3).
FIGURE 8
FIGURE 8
Concentration of oil, fatty acids, and MEL (A) and kinetic presentation of LCA results in the impact category EF 3.1 Climate Change, total (B) over process duration of the production culture for a fed-batch fermentation of MEL using a kinetic substrate conversion model for FB1-Exp (scenario 3).
FIGURE 9
FIGURE 9
Concentration of oil, fatty acids, and MEL (A) and kinetic presentation of LCA results in the impact category EF 3.1 Climate Change, total (B) over process duration of the production culture for an optimized fed-batch fermentation of MEL using a kinetic substrate conversion model for FB3-Exp (scenario 6).

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