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In this episode of Bench Boost our team revisits method detection limits (MDLs) with a focus on why mining applications often produce higher MDLs than expected. Autumn contrasts instrument detection limits with method detection limits, which reflect real sample matrices, interferences, and method variability. Liv explains mining-specific drivers of elevated MDLs, including aggressive sample preparation and impacts from dilution and high total dissolved solids. Mike closes the episode this week by discussing practical ways to improve MDLs.