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

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...

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Detalles Bibliográficos
Autores principales: Zhou, Ming-Yue, Ding, Xiao-Qing, Hou, Li-Peng, Xie, Jin, Li, Bo-Quan, Huang, Jia-Qi, Zhang, Xue-Qiang, Zhang, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676632/
https://www.ncbi.nlm.nih.gov/pubmed/36595950
http://dx.doi.org/10.1016/j.xpro.2022.101867
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author Zhou, Ming-Yue
Ding, Xiao-Qing
Hou, Li-Peng
Xie, Jin
Li, Bo-Quan
Huang, Jia-Qi
Zhang, Xue-Qiang
Zhang, Qiang
author_facet Zhou, Ming-Yue
Ding, Xiao-Qing
Hou, Li-Peng
Xie, Jin
Li, Bo-Quan
Huang, Jia-Qi
Zhang, Xue-Qiang
Zhang, Qiang
author_sort Zhou, Ming-Yue
collection PubMed
description 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)
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spelling pubmed-96766322022-11-22 Protocol for quantitative nuclear magnetic resonance for deciphering electrolyte decomposition reactions in anode-free batteries Zhou, Ming-Yue Ding, Xiao-Qing Hou, Li-Peng Xie, Jin Li, Bo-Quan Huang, Jia-Qi Zhang, Xue-Qiang Zhang, Qiang STAR Protoc Protocol 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) Elsevier 2022-11-19 /pmc/articles/PMC9676632/ /pubmed/36595950 http://dx.doi.org/10.1016/j.xpro.2022.101867 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Zhou, Ming-Yue
Ding, Xiao-Qing
Hou, Li-Peng
Xie, Jin
Li, Bo-Quan
Huang, Jia-Qi
Zhang, Xue-Qiang
Zhang, Qiang
Protocol for quantitative nuclear magnetic resonance for deciphering electrolyte decomposition reactions in anode-free batteries
title Protocol for quantitative nuclear magnetic resonance for deciphering electrolyte decomposition reactions in anode-free batteries
title_full Protocol for quantitative nuclear magnetic resonance for deciphering electrolyte decomposition reactions in anode-free batteries
title_fullStr Protocol for quantitative nuclear magnetic resonance for deciphering electrolyte decomposition reactions in anode-free batteries
title_full_unstemmed Protocol for quantitative nuclear magnetic resonance for deciphering electrolyte decomposition reactions in anode-free batteries
title_short Protocol for quantitative nuclear magnetic resonance for deciphering electrolyte decomposition reactions in anode-free batteries
title_sort protocol for quantitative nuclear magnetic resonance for deciphering electrolyte decomposition reactions in anode-free batteries
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676632/
https://www.ncbi.nlm.nih.gov/pubmed/36595950
http://dx.doi.org/10.1016/j.xpro.2022.101867
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