Article Dans Une Revue (Article De Synthèse) Environmental Chemistry Année : 2024

Rare Earth Elements binding humic acids: NICA-Donnan modelling

Résumé

Rationale. Understanding rare earth element (REE) speciation in different natural environments is important to evaluate their environmental risks because different chemical species of an element may have different bioavailability and toxicity. REEs have a great affinity for particulate and dissolved organic matter, particularly fulvic and humic acids (HAs). Thus, the use of humic ion binding models may help to understand and predict the behaviour and speciation of these species in surface waters, groundwaters and soils. Methodology. In this work, we used previously published experimental datasets to parameterise the NICA–Donnan model for REEs binding with HAs, using the model optimisation tool PEST-ORCHESTRA. We propose using linear free energy relationships (LFERs) to constrain the number of parameters to optimise. Results. We determined a coherent NICA–Donnan parameter set for the whole REEs series being compatible with available generic NICA–Donnan parameters for other metals. The impact of pH, ionic strength and REE/HA ratio as well as the presence of competitors (Fe3+, Al3+ and Cu2+) on model results is analysed. Discussion. We consolidate confidence in our derived NICA–Donnan parameters for REEs by comparing them with the Irving–Rossotti LFER. We also show the general applicability of this relationship to predict and constrain metal-binding parameters for the NICA–Donnan model. We discuss observed shortcomings and provide suggestions for potential improvement of NICA–Donnan modelling.

Fichier principal
Vignette du fichier
Manuscript_revision_Final.pdf (1.29 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-04184021 , version 1 (21-08-2023)

Licence

Identifiants

Citer

Alba Otero-Fariña, Noémie Janot, Rémi Marsac, Charlotte Catrouillet, Jan E Groenenberg. Rare Earth Elements binding humic acids: NICA-Donnan modelling. Environmental Chemistry, 2024, 21 (1), pp.EN23049. ⟨10.1071/EN23049⟩. ⟨hal-04184021v1⟩
334 Consultations
605 Téléchargements

Altmetric

Partager

  • More