Process design and carbon footprint analysis of thraustochytrid biomass production using distillery wastewater

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:This paper provides a validated simulation framework and carbon footprint hotspot analysis for thraustochytrid biomass production, useful for LCA researchers and bioprocess engineers.

🏢実務担当者:Distillery operators and food ingredient producers can use the findings to valorize wastewater and identify energy efficiency improvements to reduce carbon footprint.

🏛政策担当者:The study supports circular economy policies by demonstrating how industrial wastewater can be turned into high-value products while reducing emissions.

An increasing global demand for omega-3 polyunsaturated fatty acids (PUFAs) necessitates the development of sustainable alternatives to traditional fish oil. Thraustochytrids, a group of marine protists, have emerged as a promising microbial source capable of producing high levels of PUFAs. However, the commercial viability of producing PUFA-rich thraustochytrid biomass often is hindered by high media costs. This study explores a sustainable process design using distillery wastewater (DWW) as a low-cost feedstock. A commercial-scale process of the thraustochytrid biomass (TB) production is simulated in DWSIM (a steady-state and dynamic sequential modular chemical process simulator) to establish a validated flowsheet. Mathematical validation is done by calculating the percentage error between the DWSIM simulation and the empirical bench-scale cell dry weight data. Based on the model’s material and energy balances, a comprehensive carbon footprint analysis is conducted to evaluate the environmental sustainability of the system. Analysis identified carbon footprint hotspots from electricity consumption, specifically for the freeze-dryer unit. Alternatives include replacement of the unit to a homogenizer for cell disruption, reducing the footprint to 4.16%, still below the desired 7.5% reduction target. Therefore, more emissions reduction options such as shifting to renewable energy should be explored. This DWSIM-based commercial-scale analysis addresses a critical knowledge gap in microbial PUFA production by quantifying unit operation resource intensities, identifying key environmental hotspots, and providing footprint-reduction strategies essential for translating thraustochytrid cultivation from laboratory to industrial scale.

• openalex https://doi.org/10.20517/cf.2026.12first seen 2026-07-26 05:32:46