Êtes-vous un étudiant de l'EPFL à la recherche d'un projet de semestre?
Travaillez avec nous sur des projets en science des données et en visualisation, et déployez votre projet sous forme d'application sur Graph Search.
The chemical parameters needed to explain and predict bioavailability, biodynamics, and baseline toxicity are not readily available for most nonpolar chemicals detected in the environment. Here, we demonstrate that comprehensive two-dimensional gas chromatography (GC x GC) retention times can be used to predict 26 relevant properties for nonpolar chemicals, specifically: partition coefficients for diverse biotic media and passive sampler phases; aquatic baseline toxicity; and relevant diffusion coefficients. The considered biotic and passive sampler phases include membrane and storage lipids, serum and muscle proteins, carbohydrates, algae, mussels, polydimethylsiloxane, polyethylene, polyoxymethylene, polyacrylate, polyurethane, and semipermeable membrane devices. GC x GC-based chemical property predictions are validated with a compilation of 1038 experimental property data collected from the literature. As an example application, we overlay a map of baseline toxicity to fathead minnows onto the separated analyte signal of a polychlorinated alkanes (chlorinated paraffins) technical mixture that contains 7820 congeners. In a second application, GC x GC-estimated properties are used to parametrize multiphase partitioning models for mammalian tissues and organs. In a third example, we estimate chemical depuration kinetics for mussels. Finally, we illustrate an approach to screen the GC x GC chromatogram for nonpolar chemicals of potentially high concern, defined based on their GC X GC estimated biopartitioning properties, diffusion properties, and baseline toxicity.
Johan Auwerx, Olivier Burri, Xiaoxu Li, Tanes Imamura de Lima, Giacomo Vincenzo Giorgio Von Alvensleben, Martin Rainer Wohlwend, Pirkka-Pekka Untamo Laurila, Ludger Jan Elzuë Goeminne, Barbara Moreira Crisol, Amélia Lalou, Renata Mangione
Bart Deplancke, Julie Marie Russeil, Sonia Karaz, Maria Deak, Umji Lee, Benjamin D. Cosgrove