The metal extraction mechanism of basic extractants is typically described as an anion exchange process, but this mechanism does not correctly explain all observations. This paper introduces a novel model for the extraction of metals by basic extractants from chloride media supported by experimental data on methyltrioctylammonium chloride and Aliquat 336 chloride systems. This model relies on the hypothesis that the metal species least stabilized in the aqueous phase by hydration (i.e., the metal species with the lowest charge density) is extracted more efficiently than the more water stabilized species (i.e., species with higher charge densities). Once it is transferred to the organic phase, the extracted species can undergo further Lewis acid-base adduct formation reactions with the chloride anions available in the organic phase to form negatively charged chloro complexes, which than associate with the organic cations. Salting-out agents influence the extraction, most likely by decreasing the concentration of free water molecules, which destabilizes the metal complex in the aqueous phase. The evidence provided includes (1) the link between extraction and transition-metal speciation, (2) the trend in extraction efficiency as a function of the concentration of different salting-out agents, and (3) the behavior of HCl in the extraction system. The proposed extraction model better explains the experimental observations in comparison to the anion exchange model and allows the prediction of optimal conditions for metal extractions and separations a priori, by selecting the most suitable salting-out agent and its concentration.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acs.inorgchem.9b01782 | DOI Listing |
PLoS One
January 2025
Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Mushrooms are considered one of the safe and effective medications because they have great economic importance due to countless biological properties. Cordyceps militaris contains bioactive compounds with antioxidant, antimicrobial and anti-cancerous properties. This study was projected to analyze the potentials of biometabolites and to extract antimicrobial peptides and protein from the C.
View Article and Find Full Text PDFPLoS One
January 2025
Guang'an Hospital of Traditional Chinese Medicine, Guang'an, Sichuan Province, China.
Objectives: This study aimed to systematically incorporate the post-traumatic growth experience of breast cancer patients and furnish insights for the formulation of targeted psychological care measures.
Methods: The search period we were ranged from establishing the database to February 2024. We systematically searched four Chinese databases and seven English databases.
J Mol Model
January 2025
Department of Biochemistry, Faculty of Basic Medical Science, Olabisi Onabanjo University, Sagamu Campus, Ago Iwoye, Ogun State, Nigeria.
Context: The medications for metabolic syndromes are very minimal and the available are not effective and show adverse effects. There is a huge need for the development of effective and safe drugs to battle metabolic syndromes. In this context, our study aimed to decipher the key molecules from Artocarpus communis seed hexane fraction and their possible mechanism of action against metabolic syndrome.
View Article and Find Full Text PDFJ Funct Morphol Kinesiol
December 2024
College of Education, National Tsing Hua University, Nanda Campus, No. 521, Nanda Rd., Hsinchu City 300193, Taiwan.
Top badminton players must carefully schedule tournaments to perform well and improve their rankings. This study examines how players plan their tournament participation and whether their scheduling strategies affect their rankings and performance, especially during Olympic and non-Olympic years. Data were extracted from the Badminton World Federation (BWF) ranking system for the top 50 men's and women's singles players from May 2014 to May 2019.
View Article and Find Full Text PDFIET Syst Biol
January 2025
School of Computer, University of South China, Hengyang, Hunan, China.
Spatially resolved transcriptomics technologies potentially provide the extra spatial position information and tissue image to better infer spatial cell-cell interactions (CCIs) in processes such as tissue homeostasis, development, and disease progression. However, methods for effectively integrating spatial multimodal data to infer CCIs are still lacking. Here, the authors propose a deep learning method for integrating features through co-convolution, called SpaGraphCCI, to effectively integrate data from different modalities of SRT by projecting gene expression and image feature into a low-dimensional space.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!