The impact of implementing a modular, automatic, systematic, and equiprobable-design sampling system for abrasive mineral slurries (such as a “cross-stream cut + increment capture + homogenization + controlled secondary division” scheme) is substantial and predominantly positive, because it directly addresses the very error components that generate bias rather than merely dispersion: delimitation error (DE) and extraction error (EE).

1) Metrological and statistical impact: bias reduction and true improvement in sample representativeness

• In slurry sampling, DE and EE arise from incorrect cutter design and/or operation, and they generally have a non-zero mean; therefore, they introduce bias into the reported grade. ISO 11794 states that delimitation becomes negligible if the entire stream cross-section is diverted for the same duration, and that EE becomes negligible if the increment is extracted completely, without losses due to splashing/spillage and with sufficient capacity to prevent reflux within the cutter.
• AMIRA P754 emphasizes that DE, EE, and PE require special attention because they can easily introduce bias, although they can be minimized through properly designed systems. It also states that DE is eliminated when the cutter diverts the entire stream cross-section for an equal period of time, and that EE is eliminated when the increment is completely extracted without losses.
• In Gy/Pitard terms, the physical realization of the increment is precisely composed of DE + EE, and if this realization is properly controlled, bias is prevented from accumulating throughout the process.

Result: an equiprobable system does not merely “average out” the error; rather, it reduces or eliminates its most dangerous component (bias) and turns the problem primarily into one of controllable random errors (FE/GE/QE), which can then be managed through a higher number of increments and a sound sampling plan.

2) Impact on operational precision: lower variability and more stable reconciliations

• ISO 11794 recognizes that FE and GE cannot be eliminated, but they can be reduced by increasing the number of increments, provided the design allows them to be collected in a repeatable manner.
• ISO 11648-2 warns that systematic errors may arise from process periodicities and recommends stratified random sampling within fixed intervals whenever such a risk exists.

Result: a properly designed automatic and systematic sampling system (and, where applicable, with random stratification) reduces dispersion and improves balance stability, resulting in less monthly “noise.”

3) Impact on metallurgical accounting and financial risk: more auditable and defensible data

• AMIRA P754 indicates that, for metallurgical accounting, sampling error must be considered together with errors in mass measurement, moisture determination, and assaying, and that the system must be transparent and supported by an audit trail.
• A modular automated system with PLC control and traceability (such as the approach described for the JKL SMM) provides repeatability, reduces human error, and delivers a technically defensible methodology for audits by separating primary sample collection from secondary sample division under controlled logic.

Result: this reduces the risk of disputes (third-party settlements, mine-to-plant reconciliation issues) and improves the technical defensibility of the data during audits.

4) Mechanical impact (abrasive slurries): sustaining correct sampling over time

In abrasive slurries, the greatest enemy of equiprobability is wear-induced change in cutter geometry, which progressively degrades DE/EE over time. ISO 11648-2 recommends that cutter lips retain their geometry even after wear, and that cutter dynamics be controlled (acceleration outside the stream and constant velocity while traversing the stream).

ISO 11794 further requires frequent inspection and maintenance of cutter openings, as well as design verification whenever modifications are introduced.

Result: the positive impact can only be sustained if the system incorporates wear-resistant materials, controlled tolerances, and a verification routine, ensuring quality throughout its service life, not only at start-up.

Conclusion
Implementing an automatic, modular, equiprobable sampling system for abrasive mineral slurries significantly improves measurement quality because it directly addresses the root cause of bias (DE and EE) through proper cross-stream cutting and complete increment extraction (ISO 11794 / AMIRA). This enhances sample representativeness, reduces discrepancies in mass balances, and lowers financial risk by delivering traceable and auditable data (AMIRA) while maintaining robust design and operating rules (ISO 11648 / Gy).(ISO 11794 / AMIRA), lo que mejora representatividad, reduce discrepancias en balances y baja el riesgo financiero al entregar datos trazables y auditables (AMIRA) y mantener reglas de diseño/operación robustas (ISO 11648 / Gy).