Silver Storm's La Parrilla Mine Laboratory Construction Nears Completion
Toronto, Ontario, May 05, 2026: Silver Storm Mining Ltd. (“Silver Storm” or the "Company") (TSX.V: SVRS | OTCQX: SVRSF | FSE: SVR) is pleased to provide an update on the construction of a new assay and metallurgical sampling laboratory at the Company’s 100%-owned La Parrilla Silver Mine Complex (“La Parrilla”) in Durango State, Mexico. The Company expects the commissioning process to be completed by the end of 2Q 2026, at which point the laboratory will become fully operational.
Greg McKenzie, President and CEO, commented, “The new mine laboratory will support potential operations, development, resource growth, and exploration activities at La Parrilla. With the laboratory construction nearing completion, Silver Storm is in a strong position to advance the potential 2Q 2026 restart of operating activities alongside the 2026 drilling program at La Parrilla.”
The new laboratory is located on site at La Parrilla and equipped to support sample preparation and analysis workflows. Silver and gold analysis will be conducted using fire assay with a gravimetric finish for high-grade samples and an atomic absorption spectrometry (AAS) finish for standard-grade samples. For base metals, analysis will be conducted using AAS following multi-acid digestion. Current instrumentation includes three pulverising mills, a drying oven, two muffle furnaces dedicated to fusion and cupellation processes, and two AAS spectrometers. Installation of the extraction system and air compressor is underway, as these components are essential to ensure safety and efficiency prior to the laboratory becoming fully operational. Construction of the laboratory is nearing completion, and final commissioning remains on schedule to be completed by the end of 2Q 2026.
The addition of the new laboratory will significantly strengthen the Company’s operational capabilities by enabling in-house sample preparation and analytical testing, reducing turnaround times for sample analysis, improving data reliability, and enhancing overall control of the analytical process.
