Pan Global Achieves Outstanding Tin Recoveries in Spain's Metallurgical Program Phase Two

Pan Global Resources Reports Successful Metallurgical Test Results



In an exciting development for the mining sector, Pan Global Resources Inc. has announced the successful outcomes of its second phase of metallurgical testing at the La Romana copper-tin-silver mining project located in Southern Spain's Escacena Project. This phase demonstrated impressive results in tin recovery from gravity tailings, marking a significant advancement in the company's mining capabilities.

The metallurgical tests reflected high-grade tin concentrations of 63.2%, coupled with an estimated overall recovery rate of 64%, achieved through conventional gravity processing methods. These results are incredibly promising, showing an increase of 10% in tin recovery from previous estimations, which bolsters the potential economic benefits of the La Romana project.

According to Tim Moody, President and CEO of Pan Global, the ongoing mineralization studies at La Romana have yielded exceptional metallurgical results for both copper and tin, especially when compared to other mines within the Iberian Pyrite Belt. The success of these new tests underscores the potential for additional tin recovery from tailings that would typically be lost. The viability of conventional gravity separation methods has been confirmed, facilitating the production of high-quality, marketable tin concentrates.

Key Highlights of the Recent Metallurgical Testing


  • - High-Quality Concentrates: Tin concentrates of high quality are obtainable using conventional gravity separation techniques.
  • - Effective Recovery from Tailings: The additional tin recovery achieved from gravity tailings enhances the overall efficacy of the tin recovery process significantly.
  • - Low Contaminant Levels: The chemical analyses of the final tin concentrates revealed low levels of detrimental elements such as arsenic, mercury, and antimony.
  • - Increased Economic Valuation: The successful recovery methods contribute positively to the preliminary economic assessment (PEA) of the project, potentially mitigating risks associated with mining operations.

The metallurgical work involved rigorous tests overseen by Wardell Armstrong International (UK) and coordinated by Minepro Solutions SL (Spain). These results complement earlier positive metallurgical tests conducted on the copper-tin-silver mineralization at La Romana. Previous tests had already indicated the potential to generate high-quality copper concentrates via conventional flotation methods.

Future Steps and Testing


Looking ahead, the next phase may involve closed-circuit testing, including trials in a pilot plant that would allow for larger volumes of material to assess and optimize both concentrate grades and recovery rates. The aim is to enhance the project's feasibility for pre-feasibility and feasibility studies.

Overview of the Escacena Project


The Escacena Project encompasses an extensive area of 5,760 hectares, entirely controlled by Pan Global, situated in the prolific Iberian Pyrite Belt in Southern Spain. It's adjacent to major mining operations and includes promising discoveries of copper-tin-silver and copper-gold. This prime location, alongside the region's favorable infrastructure and supportive mining regulations, positions the project as a key player in the mining industry.

Amidst a global demand for critical metals like copper, attributed to its role in energy transition and electrification, Pan Global remains committed to developing its projects responsibly and sustainably. Their dedicated team of experts is focused on the exploration and extraction of valuable mineral resources while upholding environmental and community standards.

As the company moves forward, continuous advancements in metallurgical processes at La Romana could substantially contribute to the local economy and foster sustainable mining practices, reflecting Pan Global's strategic approach to modern mining operations.

Topics Heavy Industry & Manufacturing)

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