In this application note, a flexible analytical system comprised of a Xevo G2-XS QTof with APGC and ACQUITY UPLC I-Class was used in conjunction with a well-defined informatics workflow to elucidate degradation markers in Li-Ion battery electrolytes in both the volatile and non-volatile chemical space.
Multivariate analysis in UNIFI was able to pinpoint potential organic impurity chemical markers that increase with increasing incidence of charging cycles on battery substrates.
Combining HRMS data, MSE, and powerful library and database searching offered by UNIFI enables the identification of structural elucidation workflow degradation markers. With this information available, a structure was proposed that enabled battery manufacturers to determine which components in electrolyte mixtures were implicated in battery lifecycle reduction. The information also helped guide direct research efforts into modifying or replacing these components to improve battery performance and reliability.
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