Rock samples are prepared for geochemical analysis through a series of steps.
1. Drying: The rock samples are first dried to remove any moisture. This is important because moisture can interfere with the analysis and affect the accuracy of the results.
2. Crushing: The dried rock samples are then crushed into smaller pieces. This is done to increase the surface area of the sample, which allows for more efficient and accurate analysis.
3. Splitting: After crushing, the rock samples are split into smaller portions. This is done to ensure that each portion is representative of the original sample.
4. Pulverisation: The split rock samples are further pulverised to fully homogenise the samples and produce a fine grain size necessary for geochemical analysis. This step is important for obtaining accurate and reliable results.
5. Sample classification: The prepared samples can be classified as solids, powders, or liquids based on their original form. Different processing methods are used for each type of sample.
6. Powder compacting: Powder compacting is a common method used for sample preparation for X-ray fluorescence spectroscopy. The crushed and pulverised samples are processed to a certain particle size by grinding equipment. They are then pressed into a stable disc using pressing equipment.
7. Homogenization: More complex samples may require additional homogenization using a jaw crusher. This step ensures that the sample is well-mixed and representative.
8. Automation: High throughput XRF analysis may utilize automatic weighing and dosing lab equipment to accelerate sample preparation. This increases efficiency and allows the operator to focus on other tasks.
9. Fusion: For certain types of samples, such as solid metals or alloys, a specialized fusion furnace is used for sample preparation. This process involves melting the sample at high temperatures to create a homogeneous liquid for analysis.
Overall, sample preparation is a critical step in geochemical analysis. It greatly influences the accuracy and reliability of the results. By following proper sample preparation techniques, researchers can ensure that their analysis is accurate and reproducible.
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