98%
921
2 minutes
20
Adsorption reactions of various cations on clay minerals have different effects on their environmental behaviors depending on the molecular-scale adsorption structure. Some cations form outer-sphere complexes via hydration, while others create inner-sphere complexes through dehydration. This preference dictates their environmental impact. However, the factors controlling these complex formations remain unclear. Furthermore, research on the adsorption preferences of radium (Ra) is lacking. Thus, this study conducted the first EXAFS study of Ra adsorbed on clay minerals and showed that Ra forms inner-sphere complexes on vermiculite, which can be surprising because Ra is a divalent cation and prefers to be hydrated. In order to investigate the factors controlling the complex formations, this study conducted systematic EXAFS measurements and DFT calculations for alkali and alkaline earth metal cations. The results showed the importance of the size-matching effect between the adsorbed cation and the cavity of the tetrahedral sheets and that the complex formation can be estimated by the combination of the ionic radius and hydration enthalpy of the adsorbed cation. Furthermore, this study also analyzed environmental core samples. Their results showed the fixation of Ra by clay minerals and the controlling factors can effectively predict cation environmental behavior.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jcis.2024.01.120 | DOI Listing |
Langmuir
September 2025
Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum (East China)), Ministry of Education, Qingdao 266580, China.
Surfactant-enhanced spontaneous imbibition is a proven method of enhancing oil recovery from shale reservoirs. However, a significant knowledge gap concerning the impact of clay minerals on surfactant-enhanced imbibition in shale reservoirs remains. Therefore, this study first analyzed the mineral composition and pore structure of the shale reservoirs.
View Article and Find Full Text PDFInt J Environ Health Res
September 2025
Laboratory of Extremophile Plants, Center of Biotechnology of Borj-Cedria, BP 901, HammamLif, Tunisia.
Corrosion of mild steel in marine environments poses a major challenge for industrial sustainability. This study aims to develop an eco-friendly corrosion protection approach by combining phenolic extracts (PE) from extremophile plants with Zn₂-Al-layered double hydroxides (LDH) to form hybrid inhibitors for S235JR steel in artificial seawater (3.5% NaCl).
View Article and Find Full Text PDFPLoS One
September 2025
Daqing Yongzhu Petroleum Technology Development Co Ltd., Daqing, China.
Background: Strongly water-sensitive reservoirs with high clay content face challenges in conventional development due to clay swelling and impeded seepage. CO2 injection shows potential for enhanced oil recovery (EOR) and carbon sequestration; however, the role of clay minerals in regulating CO2-induced asphaltene deposition and sequestration remains unclear.
Methodology: We conducted experiments on clay-oil interactions, nuclear magnetic resonance (NMR), measurements of crude oil properties, and long core water flooding tests to evaluate deposition, reservoir damage, and CO2 sequestration.
Biomacromolecules
September 2025
Department of Chemical Engineering, CERES, University of Coimbra, Rua Sílvio Lima, Pólo II, 3030-790 Coimbra, Portugal.
Cellulose nanofibrils (CNFs) produced via deep eutectic solvent (DES) pretreatment were used, for the first time, to prepare composite films/nanopapers with fibrous clays (sepiolite and palygorskite). Highly transparent films containing up to 50% clay were successfully obtained, avoiding energy-intensive homogenization processes and clay chemical modifications, with absolute transparency losses relative to the transparency of the neat CNF film of ∼15% for 50% sepiolite. Higher transparency losses were found for TEMPO-oxidized CNF and cationic CNF composite films prepared for comparison purposes.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Mechanical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
The unconfined compressive strength of organic-rich clay shale is a fundamental parameter in geotechnical and energy applications, influencing drilling efficiency, wellbore stability, and excavation design. This study presents machine learning-based predictive models for unconfined compressive strength estimation, trained on a comprehensive dataset of 1217 samples that integrate non-destructive indicators such as ultrasonic pulse velocity, shale fabric metrics, wettability potential and destructive field-derived parameters. A dual-model framework was implemented using Support Vector Machine, Decision Tree, K-Nearest Neighbor, and Extreme Gradient Boosting (XGBoost) algorithms.
View Article and Find Full Text PDF