Reversible anionic redox has rejuvenated the search for high-capacity lithium-ion battery cathodes. Real-world success necessitates the holistic mastering of this electrochemistry's kinetics, thermodynamics, and stability. Here we prove oxygen redox reactivity in the archetypical lithium- and manganese-rich layered cathodes through bulk-sensitive synchrotron-based spectroscopies, and elucidate their complete anionic/cationic charge-compensation mechanism. Furthermore, via various electroanalytical methods, we answer how the anionic/cationic interplay governs application-wise important issues-namely sluggish kinetics, large hysteresis, and voltage fade-that afflict these promising cathodes despite widespread industrial and academic efforts. We find that cationic redox is kinetically fast and without hysteresis unlike sluggish anions, which furthermore show different oxidation vs. reduction potentials. Additionally, more time spent with fully oxidized oxygen promotes voltage fade. These fundamental insights about anionic redox are indispensable for improving lithium-rich cathodes. Moreover, our methodology provides guidelines for assessing the merits of existing and future anionic redox-based high-energy cathodes, which are being discovered rapidly.
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http://dx.doi.org/10.1038/s41467-017-02291-9 | DOI Listing |
Chem Asian J
January 2025
Mahatma Gandhi University, School of Chemical Sciences, Priyadarsini Hills, 686560, Kottayam, INDIA.
Enantiomeric separation of chiral molecules is pivotal for exploring fundamental questions about life's origin and many other fields. Crystallisation is an important platform for the separation of chiral molecules, elegantly applied to many systems, for instance, the formation of conglomerates, where the enantiomers crystallise as separate phases. Many approaches have been proposed to explore crystallisation-driven enantiomeric separation with fewer insights into the complex pathways associated with the separation processes.
View Article and Find Full Text PDFMar Drugs
January 2025
ARC Industrial Transformation Training Centre for Green Chemistry in Manufacturing, Deakin University, Waurn Ponds, Geelong, VIC 3216, Australia.
Squid viscera, a byproduct of squid processing, contains oil rich in omega-3 fatty acids (up to 10% by mass) and the antioxidant astaxanthin. However, its high free fatty acid (FFA) content compromises stability. To address this, pilot-scale (200 L) enzymatic re-esterification of squid oil using immobilized lipase (Lipozyme RMIM) was demonstrated, resulting in high acylglyceride yields.
View Article and Find Full Text PDFGels
January 2025
Ecole Nationale Supérieure de Chimie de Rennes, Univ. Rennes, CNRS, UMR 6226, CEDEX 7, 35708 Rennes, France.
A new green hydrogel consisting of cherry stone (CS) powder and sodium alginate (SA) was synthesized through physical crosslinking. The product had a mean diameter of 3.95 mm, a moisture content of 92.
View Article and Find Full Text PDFCurr Med Chem
January 2025
Department of Pharmaceutical Sciences, Shalom Institute of Health & Allied Sciences, Sam Higginbottom University of Agriculture, Technology & Sciences, Allahabad, 211007, Uttar Pradesh, India.
Background: Thymoquinone (TQ) is found in the seeds of Nigella sativa. It has immunomodulatory, antibacterial, anti-inflammatory, antioxidant, astringent, antifungal, and antihistaminic properties, making it a highly valuable compound of interest. However, the use of it as a therapeutic drug is highly challenging because of its poor solubility, low bioavailability, and short-term stability.
View Article and Find Full Text PDFRSC Adv
January 2025
College of Agriculture and Biological Science, Dali University Dali 671000 China
The conformational dynamics and activation mechanisms of KRAS proteins are of great importance for targeted cancer therapy. However, the detailed molecular mechanics of KRAS activation induced by GTP binding remains unclear. In this study, we systematically investigated how GTP/GDP exchange affects the thermodynamic and kinetic properties of KRAS and explored the activation mechanism using molecular dynamics (MD) simulations, Markov state models (MSMs), and neural relational inference (NRI) models.
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