Electric Metals Ore Sorting Assessment Indicates Potential to More Than Double Emily Manganese Feed Grade While Recovering 92% of Contained Manganese

About this update from Electric Metals Usa Limited

Drill Core Dataset Averaging 8.2% Mn Simulated to Upgrade to 17.5% Mn While Rejecting Approximately 57% of Material Prior to Processing Higher-selectivity simulated sorting scenarios produced concentrate grades approaching 33% Mn WILMINGTON, DE / ACCESS Newswire / June 30, 2026 / Electric Metals (USA) Limited (TSXV:EML) (OTCQB:EMUS) ("Electric Metals" or the "Company") is pleased to report positive results from an ore sorting assessment completed by Rados International Technologies ("Rados") on drill core from the Emily Manganese Deposit, part of the Company's North Star Manganese Project in Minnesota. The results show that particle-scale ore sorting upgraded a drill core dataset, averaging approximately 8.2% Mn, to approximately 17.5% Mn while recovering approximately 92% of the contained manganese. This means 57% of the material could potentially be rejected prior to downstream processing while retaining approximately 92% of the contained manganese. "These results demonstrate that ore sorting has the potential to be a significant value-enhancing technology for the Emily Manganese Deposit," said Brian Savage, Chief Executive Officer of Electric Metals. "The work demonstrates that material previously below our 10% cut-off grade could be upgraded to the same grade contemplated in our current development plan for the Emily Deposit, highlighting the potential for ore sorting to turn sub-cut-off mineralization into economic ore, subject to further economic evaluation." The work supports Electric Metals' strategy of evaluating advanced sensor-based pre-concentration technologies capable of upgrading ore feed grade, reducing downstream processing costs, improving project economics and enhancing the utilization of mineralized material within the deposit. The evaluation utilized the Rados XRF+ Drill Core Analyzer ("DCA"), which scanned approximately 4,200 feet of drill core from 18 drill holes at high resolution. The resulting dataset was calibrated against laboratory assays and used to simulate the performance of XRF-based ore sorting under a range of operating scenarios. The results demonstrate that the Emily manganese mineralization exhibits the grade variability and geological characteristics required for successful sensor-based ore sorting. For a project like what is being explored in Emily, the results could translate into lower transportation, crushing, gr...

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