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Published on: June 28, 2017
Inline NMR Detection of Li+ in Aqueous Solutions Using a Cryogen-Free Magnet at 4.7 T
Eric Schmid1, Jens Hänisch2, Frank Hornung2
1Institute of Mechanical Process Engineering and Mechanics, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
Inline flow Nuclear Magnetic Resonance (NMR) is effective for 7Li analysis in lithium extraction. This method shows great potential for expanding applications in battery technology and resource management.
Area of Science:
- Analytical Chemistry
- Materials Science
- Electrochemistry
Background:
- Lithium is crucial for battery technology, necessitating efficient and eco-friendly extraction methods.
- Inline-compatible analytical techniques are vital for optimizing lithium extraction processes.
- Nuclear Magnetic Resonance (NMR) is a proven analytical method with existing inline applications.
Purpose of the Study:
- To evaluate the suitability of 7Li NMR for inline flow measurements.
- To define the limitations and potential applications of a specific NMR measurement setup for lithium analysis.
- To investigate the impact of internal pre-polarization on 7Li NMR measurements.
Main Methods:
- Utilized a cryogen-free magnet with a variable magnetic field (4.7 T) for 7Li NMR measurements.
- Conducted spin echo measurements to analyze the influences of flow velocity, repetition time, and lithium concentration.
- Explored the possibilities of internal pre-polarization for enhanced signal detection.
Main Results:
- The study demonstrated that the developed NMR method and setup are well-suited for inline flow measurements of 7Li.
- Investigated parameters like flow velocity, repetition time, and lithium concentration to establish measurement limitations.
- Internal pre-polarization was explored as a method to potentially improve sensitivity.
Conclusions:
- The 7Li NMR flow measurement setup shows significant promise for inline analysis in lithium extraction.
- The findings provide a basis for defining the operational parameters and application scope of this analytical technique.
- This technology has the potential to enhance the efficiency and environmental sustainability of lithium resource management.
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