Rechargeable Seawater-Based Chloride-Ion Batteries Enabled by Covalent Surface Chemistry in MXenes.
Jinlin YangYu ZhangYiming SongYanzeng GeSi TangJing LiHui ZhangDao-Xiong WuXin Long TianPublished in: Journal of the American Chemical Society (2024)
Rechargeable aqueous chloride-ion batteries (ACIBs) using Cl - ions as charge carriers represent a promising energy-storage technology, especially when natural seawater is introduced as the electrolyte, which can bring remarkable advantages in terms of cost-effectiveness, safety, and environmental sustainability. However, the implementation of this technology is hindered by the scarcity of electrodes capable of reversible chloride-anion storage. Here, we show that a Ti 3 C 2 Cl x MXene with Cl surface terminations enables reversible Cl - ion storage in aqueous electrolytes. Further, we developed seawater-based ACIBs that show a high specific capacity and an exceptionally long lifespan (40000 cycles, more than 1 year) in natural seawater electrolyte. The pouch-type cells achieve a high energy density (50 Wh L cell -1 ) and maintain stable performance across a broad temperature range (-20 to 50 °C). Our investigations reveal that the covalent interaction between Cl - ions and Cl-terminated MXene facilitates Cl - ion intercalation into the MXene interlayer, promoting rapid ion migration with a low energy barrier (0.10 eV). Moreover, this MXene variant also enables the reversible storage of Br - ions in an aqueous electrolyte with a long cycle life. This study may advance the design of anion storage electrodes and enable the development of sustainable aqueous batteries.
Keyphrases
- ion batteries
- ionic liquid
- solid state
- molecularly imprinted
- quantum dots
- primary care
- single cell
- induced apoptosis
- oxidative stress
- healthcare
- stem cells
- cell therapy
- signaling pathway
- gold nanoparticles
- dna methylation
- gene expression
- high resolution
- bone marrow
- reduced graphene oxide
- cell cycle arrest
- pi k akt
- life cycle
- liquid chromatography
- sensitive detection