journal article·2022-11Open access

Resolving Graphite‐Electrolyte Interphase of Lithium‐Ion Batteries using Air‐Tight Ambient Mass Spectrometry

Taghi Sahraeian, Jingfeng Zheng, Remy F. Lalisse, Christopher M. Hadad, Yiying Wu, Abraham K. Badu‐Tawiah

Batteries & Supercaps· Volume 5· Issue 11

Abstract

Abstract The formation of a stable solid electrolyte interphase (SEI) at graphite electrode is necessary for lithium‐ion batteries (LIB) to prevent excessive degradation of electrolytes. Until now, the exact organic composition of SEI has not been decisively determined with lithium ethylene mono‐carbonate (LEMC) being one of the debated components. An air‐tight ambient mass spectrometry (MS) platform is developed to directly characterize the air‐sensitive organic components present in SEI. Ionization occurs via a solvent‐free field‐induced process at atmospheric pressure. Our experimental data, based on tandem MS analysis, revealed LEMC to be the major organic component in SEI. This result resolves a long‐standing mystery surrounding the composition of native SEI in LIB, where no trace of the other debated compound, lithium ethylene dicarbonate, was detected. The energetics of fragmentation of LEMC and the corresponding stabilities of various ionic species detected during the air‐tight ambient MS analysis were calculated using density functional theory (DFT). Our findings confirmed favorable protonation energies and suggested the molecular structures for many of the detected species. Solvent (i. e., ethylene carbonate)‐induced stabilization effects observed during the ionization process were also confirmed by DFT. The reported study encourages the routine use of ambient mass spectrometry to characterize both anodic and cathodic electrodes of all battery types as well as to study other air‐sensitive materials in their native state.
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Research context

OpenAlex topics: Advanced Battery Materials and Technologies · Mass Spectrometry Techniques and Applications · Advancements in Battery Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry and Biochemistry The Ohio State University Columbus OH-43210 USA

Funding

Basic Energy Sciences

References (43)

Show source-provided references
1.
2. 10.1016/0378-7753(83)87040-210.1016/0378-7753(83)87040-2 ↗
3. 10.1149/2.1441707jes10.1149/2.1441707jes ↗
4. 10.1149/1.212885910.1149/1.2128859 ↗
5. 10.1038/s41557-019-0304-z10.1038/s41557-019-0304-z ↗
6.
7. 10.1016/S0378-7753(03)00277-510.1016/S0378-7753(03)00277-5 ↗
8. 10.1002/sia.207210.1002/sia.2072 ↗
9.
10. 10.1366/000370299194565010.1366/0003702991945650 ↗
11. 10.1016/j.jpowsour.2005.03.10710.1016/j.jpowsour.2005.03.107 ↗
12.
13. 10.1016/S0379-6779(97)04101-510.1016/S0379-6779(97)04101-5 ↗
14. 10.1016/S0013-4686(99)00194-210.1016/S0013-4686(99)00194-2 ↗
15. 10.1016/j.carbon.2017.02.00210.1016/j.carbon.2017.02.002 ↗
16.
17. Peled E. · 2001 · 52
18. 10.1016/j.electacta.2004.01.13010.1016/j.electacta.2004.01.130 ↗
19. 10.1021/acs.analchem.6b0129210.1021/acs.analchem.6b01292 ↗
20. 10.1002/anie.20200072710.1002/anie.202000727 ↗
21. 10.1002/ange.20200072710.1002/ange.202000727 ↗
22. 10.1149/1.176099210.1149/1.1760992 ↗
23. 10.1016/j.jpowsour.2007.11.11010.1016/j.jpowsour.2007.11.110 ↗
24. 10.1021/ac101948u10.1021/ac101948u ↗
25. 10.1021/ac403317d10.1021/ac403317d ↗
26. 10.1021/cm502201z10.1021/cm502201z ↗
27. 10.1149/1.289075610.1149/1.2890756 ↗
28. 10.1149/1.139182910.1149/1.1391829 ↗
29. 10.1002/batt.20210020810.1002/batt.202100208 ↗
30. 10.1002/batt.20200017010.1002/batt.202000170 ↗
31.
32. 10.1016/j.ijms.2022.11683610.1016/j.ijms.2022.116836 ↗
33. 10.1021/acs.analchem.1c0296010.1021/acs.analchem.1c02960 ↗
34. 10.1021/acs.analchem.9b0085710.1021/acs.analchem.9b00857 ↗
35. 10.1021/acs.analchem.9b0145610.1021/acs.analchem.9b01456 ↗
36. 10.1021/jasms.0c0006310.1021/jasms.0c00063 ↗
37.
38. 10.1126/science.110440410.1126/science.1104404 ↗
39. 10.1021/acs.langmuir.9b0243910.1021/acs.langmuir.9b02439 ↗
40. 10.1021/ac400140410.1021/ac4001404 ↗
41. 10.1021/jacs.1c0580710.1021/jacs.1c05807 ↗
42. Gaussian 16 (Revision C.01) M. J. Frisch G. W. Trucks H. B. Schlegel G. E. Scuseria M. A. Robb J. R. Cheeseman G. Scalmani V. Barone G. A. Petersson H. Nakatsuji X. Li M. Caricato A. V. Marenich J. Bloino B. G. Janesko R. Gomperts B. Mennucci H. P. Hratchian J. V. Ortiz A. F. Izmaylov J. L. Sonnenberg D. Williams-Young F. Ding F. Lipparini F. Egidi J. Goings B. Peng A. Petrone T. Henderson D. Ranasinghe V. G. Zakrzewski J. Gao N. Rega G. Zheng W. Liang M. Hada M. Ehara K. Toyota R. Fukuda J. Hasegawa M. Ishida T. Nakajima Y. Honda O. Kitao H. Nakai T. Vreven K. Throssell J. A. Montgomery Jr. J. E. Peralta F. Ogliaro M. J. Bearpark J. J. Heyd E. N. Brothers K. N. Kudin V. N. Staroverov T. A. Keith R. Kobayashi J. Normand K. Raghavachari A. P. Rendell J. C. Burant S. S. Iyengar J. Tomasi M. Cossi J. M. Millam M. Klene C. Adamo R. Cammi J. W. Ochterski R. L. Martin K. Morokuma O. Farkas J. B. Foresman and D. J. Fox Gaussian Inc. Wallingford CT 2016.
43. 10.1140/epjd/e2010-10449-710.1140/epjd/e2010-10449-7 ↗