Determination of Elemental Impurities in Lithium Carbonate Using ICP-OES

Significance of the Topic

Lithium carbonate is a key raw material in the manufacturing of lithium-ion batteries, serving as the precursor for cathode and electrolyte components. As global demand for battery-grade lithium compounds rises, ensuring the purity of lithium carbonate is essential to optimize battery performance, safety, and lifespan.

Goals and Overview of the Study

This study evaluates an Agilent 5800 Vertical Dual View ICP-OES system equipped with a seven-port switching valve (AVS 7) and Intelligent software tools for the accurate determination of 27 elemental impurities in a commercial 99 % lithium carbonate sample. Key objectives include method development, assessment of sensitivity, accuracy, precision, and long-term stability under high lithium matrix conditions.

Methodology

A one-gram portion of lithium carbonate was dissolved in 100 mL of 10 % nitric acid, degassed, and analyzed in triplicate. Calibration standards for 27 trace elements were prepared in 10 % nitric acid at concentrations from 0 to 0.5 mg/L (0 mg/L to 0.02 mg/L for sodium). Internal standards of bismuth, indium, and rubidium corrected matrix effects. Spike recovery experiments at 0.05 and 0.1 mg/L evaluated method accuracy. Long-term stability was tested with 290 measurements of spiked lithium carbonate and lithium hydroxide over 6.8 hours.

Used Instrumentation

Agilent 5800 Vertical Dual View ICP-OES with cooled cone interface (CCI) and solid-state RF system SeaSpray concentric glass nebulizer Double-pass cyclonic spray chamber Easy-fit fully demountable quartz torch AVS 7 seven-port switching valve Agilent ICP Expert Pro software with IntelliQuant Screening, Fitted Background Correction, Fast Automated Curve-fitting Technique, and Early Maintenance Feedback

Main Results and Discussion

Calibration curves for all 27 elements exhibited linearity with correlation coefficients above 0.999. Limits of detection and quantitation met or exceeded Chinese industrial standards. Spike recoveries ranged from 95 % to 110 %, demonstrating accuracy in a high-lithium matrix. The AVS 7 reduced sample carryover and cut per-sample run time from 137 s to 84 s, improving throughput by over 38 %. Long-term precision (%RSD) for spiked samples remained below 5 % over nearly 7 hours, with stable calibration verification recoveries within ±10 %.

Benefits and Practical Applications

• Rapid multi-element analysis with minimal maintenance
• Robust performance in high-matrix lithium samples
• Automated interference detection and wavelength selection
• Proactive maintenance alerts to minimize downtime
• Cost-effective quality control for battery-grade chemicals

Future Trends and Possibilities for Use

The integration of advanced screening tools and matrix-tolerant sample introduction is expected to expand to other critical battery materials and high-matrix analyses. Ongoing development of international standards (e.g., ISO 11757) and further automation using artificial intelligence will streamline method development. Miniaturized, high-throughput ICP-OES platforms may emerge for in-line quality control in battery manufacturing.

Conclusion

The Agilent 5800 VDV ICP-OES with AVS 7 and smart software tools delivers accurate, precise, and stable quantification of trace impurities in lithium carbonate under challenging matrix conditions. The method supports high-throughput routine quality control for the lithium-ion battery supply chain with low maintenance requirements and reliable long-term performance.

References

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