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电池电解质的溶液核磁共振:评估和减轻过渡金属溶解引起的谱线展宽

Solution NMR of Battery Electrolytes: Assessing and Mitigating Spectral Broadening Caused by Transition Metal Dissolution.

作者信息

Allen Jennifer P, Grey Clare P

机构信息

Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, Cambridge, United Kingdom.

The Faraday Institution, Quad One, Harwell Science and Innovation Campus, Didcot OX11 0RA, United Kingdom.

出版信息

J Phys Chem C Nanomater Interfaces. 2023 Feb 28;127(9):4425-4438. doi: 10.1021/acs.jpcc.2c08274. eCollection 2023 Mar 9.

Abstract

NMR spectroscopy is a powerful tool that is commonly used to assess the degradation of lithium-ion battery electrolyte solutions. However, dissolution of paramagnetic Ni and Mn ions from cathode materials may affect the NMR spectra of the electrolyte solution, with the unpaired electron spins in these paramagnetic solutes inducing rapid nuclear relaxation and spectral broadening (and often peak shifts). This work establishes how dissolved Ni and Mn in LiPF electrolyte solutions affect H, F, and P NMR spectra of pristine and degraded electrolyte solutions, including whether the peaks from degradation species are at risk of being lost and whether the spectral broadening can be mitigated. Mn is shown to cause far greater peak broadening than Ni, with the effect of Mn observable at just 10 μM. Generally, F peaks from PF degradation species are most affected by the presence of the paramagnetic metals, followed by P and H peaks. Surprisingly, when NMR solvents are added to acquire the spectra, the degree of broadening is heavily solvent-dependent, following the trend of solvent donor number (increased broadening with lower solvent donicity). Severe spectral broadening is shown to occur whether Mn is introduced via the salt Mn(TFSI) or is dissolved from LiMnO. We show that the weak F and P peaks in spectra of electrolyte samples containing micromolar levels of dissolved Mn are broadened to an extent that they are no longer visible, but this broadening can be minimized by diluting electrolyte samples with a suitably coordinating NMR solvent. LiPO addition to the sample is also shown to return F and P spectral resolution by precipitating Mn out of electrolyte samples, although this method consumes any HF in the electrolyte solution.

摘要

核磁共振光谱法是一种常用的强大工具,用于评估锂离子电池电解液的降解情况。然而,来自阴极材料的顺磁性镍和锰离子的溶解可能会影响电解液的核磁共振光谱,这些顺磁性溶质中的未成对电子自旋会导致快速的核弛豫和光谱展宽(且常常伴有峰位移)。这项工作确定了LiPF电解液中溶解的镍和锰如何影响原始和降解电解液的氢、氟和磷核磁共振光谱,包括降解产物的峰是否有丢失的风险以及光谱展宽是否可以减轻。结果表明,锰导致的峰展宽比镍大得多,在仅10 μM时就能观察到锰的影响。一般来说,PF降解产物的氟峰受顺磁性金属存在的影响最大,其次是磷峰和氢峰。令人惊讶的是,当添加核磁共振溶剂来获取光谱时,展宽程度强烈依赖于溶剂,遵循溶剂给体数的趋势(溶剂给体数越低,展宽越大)。无论是通过盐Mn(TFSI)引入锰还是从LiMnO中溶解锰,都会出现严重的光谱展宽。我们表明,含有微摩尔水平溶解锰的电解液样品光谱中的弱氟峰和磷峰展宽到不再可见的程度,但通过用适当配位的核磁共振溶剂稀释电解液样品,可以将这种展宽降至最低。向样品中添加LiPO也显示出通过使锰从电解液样品中沉淀出来而恢复氟和磷的光谱分辨率,尽管这种方法会消耗电解液中的任何氢氟酸。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/320a/10009815/dba635210890/jp2c08274_0001.jpg

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