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Updated: Jun 17, 2026
05:33
Solid-state Graft Copolymer Electrolytes for Lithium Battery Applications
Published on: August 12, 2013
Raman composition analysis of electrolyte solvent mixtures from industrial lithium-ion battery (LIB) recycling
Tom Goldberg1, Roland Haseneder1, Andreas S Braeuer1
1Institute of Thermal-, Environmental- and Resources' Process Engineering, Technische Universität Bergakademie Freiberg, Leipziger Str. 28, 09599 Freiberg, Germany. Andreas.Braeuer@tun.tu-freiberg.de.
Analytical Methods : Advancing Methods and Applications
|June 16, 2026
Summary
This study introduces a Raman spectroscopy technique for analyzing electrolyte solvent mixtures in lithium-ion battery recycling. The method accurately quantifies compositions, aiding efficient battery recycling processes.
Area of Science:
- Analytical Chemistry
- Materials Science
- Electrochemistry
Background:
- Lithium-ion battery recycling is crucial for sustainability.
- Accurate analysis of electrolyte solvent mixtures is needed for efficient recycling.
- Current methods may lack accuracy or robustness for complex mixtures.
Purpose of the Study:
- To develop and validate a Raman spectroscopy method for quantitative analysis of electrolyte solvent mixtures.
- To compare the performance of Classical Least Squares (CLS) and Partial Least Squares (PLS) regression for this application.
- To establish a strategy for assessing and including low-abundance compounds in quantitative models.
Main Methods:
- Quantitative analysis using Raman spectroscopy.
- Application of Classical Least Squares (CLS) and Partial Least Squares (PLS) regression.
- Development of a method for assessing trace compounds.
- Utilized Shifted Excitation Raman Difference Spectroscopy (SERDS) in the near-infrared region.
Main Results:
- CLS regression demonstrated superior accuracy and robustness compared to PLS.
- Achieved low mean absolute deviations (0.006 mol mol-1 for binary, 0.018 mol mol-1 for quinary mixtures).
- Successfully quantified real condensate samples from industrial battery recycling.
Conclusions:
- The developed Raman spectroscopy method provides accurate and robust quantification of electrolyte solvent mixtures.
- The method is applicable to complex industrial samples with varying fluorescence backgrounds.
- The approach facilitates improved electrolyte recovery and recycling efficiency in lithium-ion batteries.
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