Feedstock and Process Evidence for Engineering Assessment of Residue-Based Bacillus Surfactin Production
Rojas-Gargate, Diego Glicerio
Mezarina-Estrada, Josue Mesac
Tello-Gallardo, Mayra Xiomara
Guzman-Sanchez, William Andres
Contreras-Liza, Sergio Eduardo
Arakaki-Yañez, Suemi Ainhoa
Pesantes-Rojas, Carlos Roberto
Falcón-Cerna, Aida Nerida
Azabache Cubas, Elvia Elizabeth
Suclupe-Angeles, Erika Brigitte Isabel
Pdf

How to Cite

Rojas-Gargate D.G., Mezarina-Estrada J.M., Tello-Gallardo M.X., Guzman-Sanchez W.A., Contreras-Liza S.E., Arakaki-Yañez S.A., Pesantes-Rojas C.R., Falcón-Cerna A.N., Azabache Cubas E.E., Suclupe-Angeles E.B.I., 2026, Feedstock and Process Evidence for Engineering Assessment of Residue-Based Bacillus Surfactin Production, Chemical Engineering Transactions, 127, 349-354.
Pdf

Abstract

Agro-industrial and food-processing residues have been investigated as alternative feedstocks for surfactin production by Bacillus, but published systems differ in biological configuration, feedstock conversion, medium formulation, reactor operation, oxygen-transfer measurements and product-recovery basis. This targeted engineering synthesis separates directly reported observations from cross-study interpretation. Evidence coverage differed by question: the DGS study directly documented feedstock-conversion dependence, whereas the brewery-trub oxygen-supply study provided reactor-scale oxygen-transfer measurements; direct ranking was not justified because the systems differed in biological, operational and measurement bases. Reported product titers and kLa values therefore required system-specific interpretation. The proposed evidence-to-inference workflow explicitly separates reporting status, comparability and evidence-supported inference, providing a structured basis for cross-system assessment without numerical robustness scores or industrial-performance prediction. It is a conceptual screening procedure rather than a validated predictive tool.
Pdf