Portable coffee analytics are already present in professional and enthusiast coffee practice. The open question is how such measurement can be translated into decision-relevant knowledge. This study addresses this question through moka brewing and low-cost digital refractometry. A full-factorial experiment was conducted with a one-cup Bialetti Moka Express, varying roast level, grind size and initial water temperature in a 3 × 3 × 2 design with five replicates per condition (n = 90). Total dissolved solids (TDS) were measured in triplicate with a DiFluid R2 Extract refractometer, and extraction yield (EY) was calculated from TDS, beverage mass and coffee dose. EY was analysed using a linear mixed model; dispersion was compared with Brown–Forsythe tests on within-condition deviations. Within the tested ranges, grind size was the strongest lever for EY (coarse 13.5%, fine 21.7%). Roast level had a smaller, directed effect, mainly separating the light roast from the medium and dark roasts. The initial water temperature did not measurably affect EY, although pre-heated water shortened the preparation time. Dispersion did not differ between factor levels once mean differences were accounted for. Read through a craft-consumption lens, the study illustrates how portable analytics can support measurement-enabled practice by making brewing questions experimentally testable.
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Perkmann et al. (2026) studied this question.
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