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. 2024 Apr 11;13(8):1157. doi: 10.3390/foods13081157

Table 1.

Calibration and validation data of the chemometric model based on FT-MIR spectroscopy to predict quality parameters in craft beer.

CALIBRATION
(n = 45)
VALIDATION
(n = 15)
Algorithm Parameter Units Factors R2c SEC R2v SEP MD RR %RD RPD
PCR Color EBC 1 0.2403 16.93 - 16.96 - - - -
Alcohol %(v/v) 4 0.7102 1.03 - 1.08 - - - -
Bitterness IBU 2 0.4386 16.84 - 16.82 - - - -
Turbidity NTU 3 0.3172 16.51 - 16.47 - - - -
pH - 1 0.5648 0.24 - 0.25 - - - -
Acidity mg/L 2 0.2909 8.38 - 8.72 - - - -
PLS1 Color EBC 10 0.9999 0.06 0.9973 0.07 0.15–0.74 0.59–0.99 2.22–6.57 14.39–18.62
Alcohol %(v/v) 10 0.9999 0.01 0.9890 0.01 0.13–0.68 0.63–1.04 0.76–5.33 13.01–17.93
Bitterness IBU 10 0.9999 0.05 0.9948 0.06 0.11–0.79 0.57–1.15 1.61–6.25 9.01–15.32
Turbidity NTU 10 0.9999 0.11 0.9964 0.14 0.16–0.68 0.55–1.36 1.35–4.68 11.02–16.97
pH - 10 0.9999 0.01 0.9905 0.01 0.09–0.81 0.44–1.28 1.98–4.87 10.48–18.89
Acidity mg/L 10 0.9999 0.04 0.9851 0.05 0.18–0.80 0.54–1.45 2.01–6.19 8.32–14.35
PLS2 Color EBC 5 0.7198 10.64 - 10.95 - - - -
Alcohol %(v/v) 1 0.8604 1.53 - 1.56 - - - -
Bitterness IBU 7 0.7371 11.54 - 12.95 - - - -
Turbidity NTU 1 0.9240 10.11 - 10.11 - - - -
pH - 1 0.7488 0.46 - 0.47 - - - -
Acidity mg/L 7 0.7197 8.58 - 8.58 - - - -

The algorithm with the best predictive capacity is given in italics and bold.