Large Language Modeling to Assist Natural Polyphenols as Green Precipitants for Recycling Spent Batteries

Langmuir, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

The growing demand for energy storage batteries, driven by the need to alleviate global warming and reduce fossil fuel dependency, has led environmental concerns surrounding spent batteries. Efficient recycling of these batteries is essential prevent pollution recover valuable metal ions such as nickel (Ni2+), cobalt (Co2+), manganese (Mn2+). Conventional hydrometallurgical methods battery recycling, while effective, often involve harmful chemicals processes. Natural polyphenols offer a greener alternative due their ability coordinate with ions. However, optimizing polyphenol selection efficient recovery remains labor-intensive challenge. This study presents strategy combining natural green precipitants power GPT-4, large language model (LLM), enhance precipitation from By leveraging capabilities GPT-4 in processing, we enable dynamic, iterative collaboration between human researchers LLM, different experimental conditions. results show that tannic acid achieved rates 94.8, 96.7, 96.7% Ni2+, Co2+, Mn2+, respectively, outperforming conventional methods. integration enhances both efficiency accuracy process, ensuring sustainability minimizing secondary utilizing biodegradable materials. innovative demonstrates potential artificial intelligence-driven analysis chemistry address challenges, paving way more sustainable

Language: Английский

Ultrasound-assisted preparation of shikonin-loaded emulsions for the treatment of bacterial infections

Ultrasonics Sonochemistry, Journal Year: 2025, Volume and Issue: 115, P. 107302 - 107302

Published: March 4, 2025

Bacteria can encapsulate themselves in a self-generated matrix of hydrated extracellular polymeric substances such as polysaccharides, proteins, and nucleic acids, thereby forming bacterial biofilm infections. These biofilms are drug resistant will diminish the efficacy antimicrobial agents, rendering treatment infections challenging. Herein, an innovative strategy is proposed to synergistically degrade eradicate entrapped bacteria through integrating α-amylase (α-Amy), shikonin (SK) epigallocatechin gallate (EGCG) within emulsion. The natural protein α-Amy deployed enzymatically hydrolyze polysaccharide biofilms. Due amphipilic properties cross-linking capability EGCG, formed α-Amy/SK@EGCG emulsion possess high stability. SK was encapsulated ultrasound-assisted assembly, targeting treat infection after degradation. In vitro vivo experiments demonstrate that polyphenol-protein stabilized loaded with antibacterial achieves profound penetration into due hydrolysis mediated by α-Amy. As result, significantly alleviate inflammation symptoms accelerate healing process biofilm-infected wounds. This study provides promising therapeutic for development novel materials aimed enhanced

Language: Английский

Assembly of Emulsion-Based Cascade Vehicles for Combination Oxygen–Chemotherapy in Diabetic Wound Healing

Langmuir, Journal Year: 2024, Volume and Issue: 40(37), P. 19766 - 19774

Published: Sept. 5, 2024

High blood glucose and insufficient angiogenesis in diabetic wounds prevent healing, often leading to amputation or death. To address this, a multifunctional emulsion loaded with simvastatin stabilized by enzymes was synthesized using ultrasound-assisted emulsification. This promotes reduces levels. Glucose oxidase catalase at the interface catalyze cascading response, lowering concentration wound site improving microenvironment. Simvastatin further angiogenesis. The significantly accelerated healing rats, offering promising approach management.

Language: Английский