Protocol for quantitative nuclear magnetic resonance for deciphering electrolyte decomposition reactions in anode-free batteries

Ming-Yue Zhou; Xiao-Qing Ding; Li-Peng Hou; Jin Xie; Bo-Quan Li; Jia-Qi Huang; Xue-Qiang Zhang; Qiang Zhang

doi:10.1016/j.xpro.2022.101867

Protocol for quantitative nuclear magnetic resonance for deciphering electrolyte decomposition reactions in anode-free batteries

STAR Protoc. 2022 Dec 16;3(4):101867. doi: 10.1016/j.xpro.2022.101867. Epub 2022 Nov 19.

Authors

Ming-Yue Zhou¹, Xiao-Qing Ding², Li-Peng Hou¹, Jin Xie¹, Bo-Quan Li², Jia-Qi Huang², Xue-Qiang Zhang³, Qiang Zhang⁴

Affiliations

¹ Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China.
² Advanced Research Institute for Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China; School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China.
³ Advanced Research Institute for Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China; School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China. Electronic address: zhangxq@bit.edu.cn.
⁴ Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China. Electronic address: zhang-qiang@mails.tsinghua.edu.cn.

Abstract

In this protocol, we describe the quantification of electrolytes using nuclear magnetic resonance. We detail the steps involved for battery cycling, sample preparation, instrument operation, and data analysis. The protocol can be used to quantify electrolyte decomposition reactions and the apparent electron transfer numbers of different electrolyte components. The protocol is optimized for lithium-based anode-free batteries but can also be applied to other rechargeable batteries. For complete details on the use and execution of this protocol, please refer to Zhou et al. (2022).¹.

Keywords: Chemistry; Energy; Material sciences; NMR.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Data Analysis*
Electrolytes
Electron Transport
Magnetic Resonance Imaging*
Magnetic Resonance Spectroscopy

Substances

Electrolytes