Research Axis OPTIFIL

Research Axis OPTIFIL

Research Axis OPTIFIL: Optimization of Water and Residue Recovery Pathways: Quality, Safety, and Usage Trade-offs

Coordinator : Julie JIMENEZ

Participants : Dominique Patureau, Nathalie Wéry, Rémi Servien, Jérôme Harmand, Laura Alvarez-Fraga, Eric Latrille, Virginie Rossard, Valérie Bru, Sophie Cuissette

Non permanents : Kassandra Galopin, Jessica Do Souto Soeiro, Soline Lèbre, Erika Sinisgalli, Agathe Jung, Oriane Della-Negra, Yoce Aprianto, Anouar Mejait

OPTIFIL, a research axis of LBE, is part of the development of environmental biorefineries by transforming organic waste and wastewater into valuable resources for the production of energy, nutrients, and bio-based molecules.
Its main objective is to shift from a linear approach to resource management towards a circular approach, by studying recovery pathways that integrate environmental and health issues from the early stages of process design, through a reverse engineering approach.

OPTIFIL investigates the fate of organic matter (C and N), nutrients (N, P, K, S), and contaminants (chemical and biological), from the inputs (organic waste and wastewater) to the receiving environments (soils, water, air). This strategy enables a multi-criteria evaluation of the resulting products to support eco-design and multi-objective optimization of treatment chains.

Three main objectives structure the research conducted within OPTIFIL:

1.    Characterization of the matter (composition, structure, reactivity) and contaminants (occurrence, interactions among them and with organic matter) and their fate within treatment pathways (e.g., biochemical and granulometric fractionation, structural characterization, spectroscopic methods, chemometric tools, indicators of safety and mobility) in order to:
2.    Understand and decorrelate the sources of variability in recovery chains to better control the quality of end-products and their effects on agroecosystems;
3.    Eco-design recovery pathways and apply reverse engineering, using multi-criteria evaluation tools and multi-objective optimization approaches.

AxeOPTIFIL_en_2025

Figure : Research questions investigated into OPTIFIL

Contact : Julie Jimenez