SciMed Education
How can impurities in sunflower oil be analyzed using High Resolution ICP-OES?
In Summary
High Resolution ICP-OES enables accurate detection of trace impurities and macro elements in sunflower oil using a simple organic dilution method. With high matrix tolerance, high-resolution optics, and CSI software for interference correction, the technique delivers reliable, low-level detection of elements such as Pb, Cd, Hg, Ca, Mg, and P. This makes it ideal for routine quality control and regulatory compliance in edible oil analysis.
What is the challenge?
Analysis of heavy metal impurities and macro minerals in sunflower oil using organic dilution, complicated by solvent-related background signals.
What is the challenge?
HR ICP-OES with high matrix tolerance for organic samples, high-resolution optics, and CSI software for interference-free detection.
What is sunflower oil and why analyze it?
Sunflower oil is widely used in food, cosmetics, and industrial applications. It is produced from sunflower seeds through extraction and refining processes such as degumming, bleaching, and dewaxing.
While refining improves stability, it can reduce nutritional components and alter product properties. At the same time, food safety regulations require strict monitoring of toxic metals such as Pb, Cd, and Hg.
Impurities may originate from farming, extraction, or processing, while key nutrients like phosphorus, calcium, and magnesium must also be controlled.
How are samples prepared and analyzed?
Sunflower oil samples were:
• Homogenised using a 10 min ultrasonic bath to ensure uniform sample distribution
• Diluted 1:5 with kerosene to reduce viscosity and improve sample introduction
Calibration
• Calibration standards prepared using organometallic standards in kerosene for matrix matching
• Yttrium used as an internal standard to correct for signal drift and improve accuracy
Instrumentation
Analysis was performed using the PlasmaQuant 9100 Elite now superseded by the PlasmaQuant 9200 Elite, with an organic sample introduction kit and cooled spray chamber.
Method Overview
Direct dilution enables low detection limits compared to digestion methods. The method analyzes As, Ca, Cd, Hg, Mg, P, and Pb in organic matrices.
High spectral resolution and CSI software allow separation of analyte signals from strong solvent background interference.
What parameters are used for evaluation?
Key parameters include plasma view, integration mode, baseline correction (ABC), and spectral interference correction using CSI software.
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What results were achieved?
Organic matrices generate strong background signals that can overlap with analyte lines. CSI software enables subtraction of solvent signals for accurate analysis.
Results showed:
• High accuracy (QC recovery: 95–101%)
• Consistent multi-line agreement
• Reliable detection of trace and macro elements
Processing trends confirmed decreasing nutritional content (Ca, Mg, P) with increased refining, while toxic metal levels remained low.
Why is this method effective?
Why is this method effective?
The method enables accurate impurity analysis in sunflower oil using simple dilution.
Key benefits:
• Low detection limits (ppb range)
• Minimal sample preparation
• Effective interference correction via CSI
• High robustness for organic matrices
The PlasmaQuant 9100 Elite provides stable, precise, and interference-free analysis, making it ideal for routine quality control of vegetable oils. The PlasmaQuant 9200 Elite combines the same high performance with a smaller footprint low argon and energy consumption.
What to do Next?
Ready to improve your analysis? Enhance your edible oil testing with reliable impurity detection by requesting product details, speaking with an expert, scheduling a demo, or contacting SciMed to learn more.
Page FAQ's
Impurities in sunflower oil can be analysed using HR ICP-OES following a simple dilution of the sample in kerosene. The technique uses high-resolution optics and CSI software to separate analyte signals from strong solvent background interference, enabling accurate detection of trace and macro elements.
ICP-OES is well suited to edible oil analysis due to its ability to handle organic matrices, deliver multi-element detection, and provide high sensitivity across a wide concentration range. It enables both impurity monitoring and nutritional element analysis in a single run.
The method enables detection of key toxic elements such as lead (Pb), cadmium (Cd), and mercury (Hg), alongside macro and nutritional elements including calcium (Ca), magnesium (Mg), and phosphorus (P).
The main challenge is the strong background signal generated by organic solvents, which can overlap with analyte emission lines. This can affect accuracy if not properly corrected.
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