Electric Metals Ore Sorting Assessment Indicates Potential to More Than Double Emily Manganese Feed Grade While Recovering 92% of Contained Manganese
Original announcement by tmx on
- Company
- Electric Metals (USA) Limited
- Ticker
- EML
- Exchange
- TSX
- Region
- Minnesota
- Primary commodity
- Manganese
- Secondary commodities
- Iron ore
- Document categories
- Metallurgy
- Extracted
- 2026-08-20 21:17:08 UTC
Analysis by Minestarters Atlas
Minestarters Atlas analysis
Summary
Electric Metals has reported positive results from a simulated ore sorting assessment at its Emily Manganese Deposit. The study indicates that particle-scale sorting could upgrade a drill core dataset from 8.2% Mn to 17.5% Mn while recovering 92% of the manganese and rejecting 57% of the material.
Reasoning: The assessment demonstrates a significant potential to upgrade manganese feed grade from 8.2% to 17.5% while maintaining 92% recovery, though it relies on simulation rather than physical trials.
Positive factors
- significant grade upgrade potential
- substantial waste rejection (57%)
- high manganese recovery (92%)
- potential for lower downstream processing costs
Negative factors
- results are based on numerical simulations, not physical sorting trials
- subject to future physical test work and economic evaluation
Facts used in scoring: 3
Classification and evidence
Bench Scale Onlynegative
Only preliminary bench tests completed — no locked-cycle or pilot work.
Why it applies: The results are based on numerical simulations of XRF data rather than physical ore sorting trials.
Evidence · text
“While the reported sorting results are based on numerical simulations calibrated against laboratory assays rather than physical sorting trials”
Theoretical Recovery Onlynegative
Only theoretical or liberation-derived recovery reported, with no actual test result.
Why it applies: The recovery figures are derived from numerical simulations of XRF measurements.
Evidence · text
“the study demonstrates that ore sorting has the potential... based on numerical simulations”
Extracted facts
Stored fact records: 3. Some facts used in scoring do not have a stored record.
Metallurgical Results (3)
ore sortingmanganeseRecovery: 92 %Head Grade: 8.2Head Grade Unit: %View all detailsHide details
Identity
- Commodity
- manganese
- Ticker
- EML
Test Work
- Program Status
- preliminary
- Test Type
- ore sorting
- Processing Route
- particle-scale ore sorting
- Sample
- Simulated particle-scale ore sorting (drill core dataset)
Recovery
- Recovery
- 92 %
- Recovery Basis
- theoretical
- Head Grade
- 8.2
- Head Grade Unit
- %
Review
- Needs Review
- No
- Historical
- No
Dates
- Event date
- 2026-06-30T00:00:00.000Z
Reasoning: Simulated upgrade from 8.2% to 17.5% Mn with 92% recovery is highly material for project economics.
Positive factors
- high recovery
- significant grade upgrade
Negative factors
- simulated results only
Evidence · text
“upgraded a drill core dataset, averaging approximately 8.2% Mn, to approximately 17.5% Mn while recovering approximately 92% of the contained manganese”
ore sortingmanganeseRecovery: 92 %Head Grade: 8.2Head Grade Unit: %View all detailsHide details
Identity
- Commodity
- manganese
- Ticker
- EML
Test Work
- Program Status
- preliminary
- Test Type
- ore sorting
- Processing Route
- bulk ore sorting
- Sample
- Simulated bulk ore sorting (drill core dataset)
Recovery
- Recovery
- 92 %
- Recovery Basis
- theoretical
- Head Grade
- 8.2
- Head Grade Unit
- %
Review
- Needs Review
- No
- Historical
- No
Dates
- Event date
- 2026-06-30T00:00:00.000Z
Reasoning: Bulk sorting shows a more modest upgrade to 13.1% Mn compared to particle-scale.
Positive factors
- grade upgrade
Negative factors
- lower upgrade than particle-scale
Evidence · text
“Simulated bulk ore sorting upgraded a drill core dataset averaging approximately 8.2% Mn to approximately 13.1% Mn while recovering approximately 92% of contained manganese”
Fact 3manganeseView all detailsHide details
Identity
- Commodity
- manganese
- Ticker
- EML
Test Work
- Sample
- High-selectivity simulated sorting scenario (18% threshold)
Recovery
- Conc. Grade
- 33
- Conc. Grade Unit
- %
Review
- Needs Review
- No
- Historical
- No
Dates
- Event date
- 2026-06-30T00:00:00.000Z
Reasoning: Achieving 33% Mn concentrate demonstrates high selectivity potential.
Positive factors
- high concentrate grade
Evidence · text
“Higher-selectivity simulated sorting scenarios produced concentrate grades approaching 33% Mn”
How Atlas produces this analysis
Minestarters Atlas uses automated extraction to summarize mining announcements, identify reported measurements, and classify supporting evidence. Sentiment reflects the extracted narrative and classification rules; it is an interpretation, not a reported measurement. Evidence quotes and context are provided where available. Missing data, low-confidence results, and review flags indicate limitations. Check the original publisher announcement before relying on an interpretation.