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Combinatorial mixtures of organic solutes for improved liquid/liquid extraction of ions.
Liu, Shu; Wei, An-Tsun; Wang, Hui; Van Winkle, David; Lenhert, Steven.
Afiliação
  • Liu S; Department of Physics, Florida State University, Tallahassee, Florida, 32306, USA.
  • Wei AT; Department of Industrial Engineering, Florida State University, Tallahassee, Florida, 32306, USA.
  • Wang H; Department of Industrial Engineering, Florida State University, Tallahassee, Florida, 32306, USA.
  • Van Winkle D; Department of Physics, Florida State University, Tallahassee, Florida, 32306, USA.
  • Lenhert S; Department of Biological Science and Integrative Nanoscience Institute, Florida State University, Tallahassee, Florida, 32306, USA. slenhert@fsu.edu.
Soft Matter ; 19(36): 6903-6910, 2023 Sep 20.
Article em En | MEDLINE | ID: mdl-37656021
ABSTRACT
Biological systems routinely extract and organize ions in complex yet highly ordered and active systems. Much of this function is attributed to proteins, although recent evidence indicates aggregates of lipids are also capable of molecular recognition. Here we tested the hypothesis that combinatorial mixtures of organic solutes might lead to enhanced liquid/liquid extraction. We started with liquid oleic acid as an organic phase extracting copper ions from water and added a library of additives. By using Bayesian optimization to autonomously direct the combinatorial formulation, we discovered mixtures that enhanced the extraction performance. The main additive that improved the system was octylphosphonic acid. Interestingly, the optimal mixture has a significant improvement compared to this additive alone. This suggests that the combinations of organic solutes are better than using pure components in liquid/liquid extraction. Furthermore, we found that precipitation occurs in the samples showing better extraction efficiency, which has interesting material properties and potential for new types of supramolecular biosensors.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article