Disrupting the Hofmeister bias in salt liquid-liquid extraction with an arylethynyl bisurea anion receptor

Hazel A. Fargher, Lætitia H. Delmau, Vyacheslav S. Bryantsev, Michael M. Haley, Darren W. Johnson, Bruce A. Moyer

Research output: Contribution to journalArticlepeer-review

Abstract

Host-mediated liquid-liquid extraction is a convenient method for the separation of inorganic salts. However, selective extraction of an anion, regardless of its hydrophilicity or lipophilicity as qualitatively described by its place in the Hofmeister series, remains challenging. Herein we report the complete disruption of the Hofmeister-based ordering of anions in host-mediated extraction by a rigidified tweezer-type receptor possessing remarkably strong anion-binding affinity under the conditions examined. Experiments introduce a convenient new method for determination of anion binding using phosphorus inductively coupled plasma mass spectrometry (ICP-MS) to measure extraction of tetra-n-butylphosphonium (TBP+) salts from water into nitrobenzene, specifically examining the disrupting effect of the added arylethynyl bisurea anion receptor. In the absence of the receptor, the salt partitioning follows the expected Hofmeister-type ordering favoring the larger, less hydrated anions; the analysis yields the value −24 kJ mol−1 for the standard Gibbs energy of partitioning of TBP+ cation from water into nitrobenzene at 25 °C. Selectivity is markedly changed by the addition of receptor to the nitrobenzene and is concentration dependent, giving rise to three selectivity regimes. We then used SXLSQI liquid-liquid equilibrium analysis software developed at Oak Ridge National Laboratory to fit host-mediated extraction equilibria for TBP+ salts of Cl, Br, I, and NO3 to the distribution data. While the reverse-Hofmeister 1 : 1 binding of the anions by the receptor effectively cancels the Hofmeister selectivity of the TBPX partitioning into nitrobenzene, formation of unexpected 2 : 1 receptor : anion complexes favoring Cl and Br dominates the selectivity at elevated receptor concentrations, producing the unusual order Br > Cl > NO3 > I in anion distribution wherein a middle member of the series is selected and the most lipophilic anion is disfavored. Density functional theory calculations confirmed the likelihood of forming 2 : 1 complexes, where Cl and Br are encapsulated by two receptors adopting energetically competitive single or double helix structures. The calculations explain the rare non-Hofmeister preference for Br. This example shows that anion receptors can be used to control the selectivity and efficiency of salt extraction regardless of the position of the anion in the Hofmeister series.

Original languageEnglish
Pages (from-to)5311-5318
Number of pages8
JournalChemical Science
Volume15
Issue number14
DOIs
StatePublished - Mar 7 2024

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists, Office of Graduate Student Research (SCGSR) program. The SCGSR program is administered by the Oak Ridge Institute for Science and Education (ORISE) for the DOE. ORISE is managed by ORAU under contract number DE-SC0014664. This work was also supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division (B. A. M. and V. S. B.) and the NIH (R01-GM087398 to D. W. J./M. M. H.). This work was also supported by the Bradshaw and Holzapfel Research Professorship in Transformational Science and Mathematics to DWJ. ICP-MS instrumentation was supported by NSF award CHE-2117614 from the Major Research Instrumentation program. We also thank Liam Twight for ICP-MS instrument support. This research used resources of the Compute and Data Environment for Science (CADES) at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. Additionally, this study utilized the resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231 using NERSC award BES-ERCAP 0027044. All opinions expressed in this paper are the authors' and do not necessarily reflect the policies and views of DOE, ORAU, or ORISE.

FundersFunder number
Workforce Development for Teachers and Scientists
Basic Energy Sciences
Data Environment for Science
Office of Graduate Student Research
U.S. Department of Energy
Office of Science
Chemical Sciences, Geosciences, and Biosciences Division
SCGSR
National Science FoundationCHE-2117614
Oak Ridge Associated UniversitiesDE-SC0014664
CADESDE-AC05-00OR22725
Lawrence Berkeley National LaboratoryDE-AC02-05CH11231, BES-ERCAP 0027044
National Institutes of HealthR01-GM087398

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