FE Lock has undergone controlled testing and independent laboratory validation, showing dosedependent arsenic reduction with repeatable results.
• Controls (C-series) range: 0.304–0.843 ppm soluble As (natural variability)
• 6-gram average: 0.552 ppm (~9.8% reduction vs control average 0.612 ppm)
• 10-gram average: 0.473 ppm (~22.7% reduction vs control); clean 10-gram average (excl. compromised 10-3): 0.391 ppm (~36.1%)
• Independent TapScore results previously showed ~49% reduction at higher doses
• Clear separation between treated and untreated samples, increasing with dose
TapScore performed arsenic analysis on treated and untreated samples. At higher FE Lock doses, soluble arsenic was reduced by ~49%. These in-house results show the same directional trend: greater reductions at higher doses, with repeatable separation between treated and untreated samples.
Treatment - Arsenic (ppm) - Percent reduction
Control (C-series avg; range 0.304–0.843) - 0.612 - 0%
6-gram - 0.552 - 9.8%
10-gram - 0.473 - 22.7%
10-gram (clean, excl. 10-3) - 0.391 - 36.1%
Notes: Jar 10-2 = 0.362 ppm (lowest); Jar 10-3 had a filter rip allowing solids to pass and inflate ppm; it is excluded from the "clean" average.
Placeholders: Bar chart (reduction by dose), Line graph (doseresponse), Comparison (treated vs. untreated).
Workflow overview:
• Soak cycles — representative contact times and mixing.
• Filtration — separation of solids and leachate.
• Sample handling — labeled, preserved as applicable.
• Submission to TapScore — arsenic analysis with documented chain‑of‑custody.
These reductions in soluble arsenic indicate improved handling safety and reduced arsenic mobility in leachate and pressate. For municipalities and coastal programs, FE Lock supports post-collection treatment workflows, helping reduce environmental risk during staging, transport, and processing while fitting within existing operations.
Testing is ongoing. Additional optimization and field trials are planned to refine dosing guidance, evaluate seasonal variability, and expand data across diverse coastal conditions.