Publication:
Characterization of the alluvial tin deposit from pengkalan hulu, peninsular malaysia

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Date
2024-08-01
Authors
Mohamad Edy Rashimy Bin Zulkipli
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This study explores the alluvial tin deposit located in Pengkalan Hulu, Peninsular Malaysia, with a detailed focus on its characterization. The research addresses the issue of accurately identifying and quantifying tin-bearing minerals, particularly cassiterite (SnO₂), which is crucial for assessing the economic viability of the deposit. The problem is significant due to the need for sustainable extraction methods and a comprehensive understanding of the deposit's composition and spatial distribution. The objective of this study is to analyse the mineralogical and geochemical properties of Pengkalan Hulu alluvial deposits to gain a comprehensive understanding of formation, spatial distribution and economic potential. This study found that samples 20923, 20925, 20927, and 20930 showed recovery during gravity separation using a Mozley table, with sample 20925 having the highest recovery at 6.72%. SEM-EDX analysis revealed the presence of Carbon, Oxygen, and Silicon, while XRD analysis indicated a high quartz content, especially in sample 20927. ICPMS results showed significant cassiterite content in sample 20922, despite it not being recovered through gravity separation, suggesting fine particle size limitations. XRF analysis demonstrated an inverse relationship between SiO2 and Al2O3 content, with a direct correlation between Al2O3 and K2O. These findings highlight the geological and mineralogical diversity of the samples, indicating varied cassiterite and elemental distributions, which are key for understanding the mineral potential and characteristics of the alluvial deposits in the area. To consistently characterize alluvial tin deposits, it's crucial to perform meticulous sampling and use comprehensive analysis techniques like XRF, XRD, and SEM/EDX. Samples should be ground to 75 microns for precise XRF analysis. Keeping databases like XPERT High Score Plus up to date ensures accurate mineral identification. Additionally, improving low-grade ore quality through impurity removal techniques, such as washing or sizing, enhances the purity and quality of the samples. These steps will improve the accuracy and reliability of mineral characterization, aiding in better resource management.
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