Process design and carbon footprint analysis of thraustochytrid biomass production using distillery wastewater
Joshua Enrique Ignacio , Jewel A. Capunitan , Maria Victoria Migo-Sumagang
Carbon Footprints ›› 2026, Vol. 5 ›› Issue (3) : 41
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.
Thraustochytrid / distillery wastewater / DWSIM / carbon footprint intensity analysis
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
Mobius® iFlex Bioreactor. Data sheet. MilliporeSigma. https://www.merckmillipore.com/deepweb/assets/sigmaaldrich/marketing/global/documents/417/331/ds12340en-mobius-iflex-bioreactor-datasheet-ms.pdf (accessed 2026-01-25). |
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
Calculation tools and guidance. Greenhouse gas protocol. https://ghgprotocol.org/calculation-tools-and-guidance (accessed 2026-01-25). |
| [24] |
Philippines country climate development report. The World Bank Group. https://thedocs.worldbank.org/en/doc/4ec3282919652f7545bc25c49c1811e4-0070012022/original/PHCCDR-FINAL-formatted.pdf (accessed 2026-01-25). |
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
ClimateHub. Explore Climate Footprints. https://apps.carboncloud.com/climatehub/ (accessed 2026-01-25). |
| [29] |
|
| [30] |
Emission factors for greenhouse gas inventories. U.S. Environmental Protection Agency. https://www.epa.gov/system/files/documents/2024-02/ghg-emission-factors-hub-2024.pdf (accessed 2026-01-25). |
| [31] |
Philippines, country profile 2020. Climate transparency. https://www.climate-transparency.org/wp-content/uploads/2021/01/Philippines-CT-2020.pdf (accessed 2026-01-25). |
| [32] |
|
| [33] |
|
/
| 〈 |
|
〉 |