Abstract
Near-infrared calibrations were developed for the prediction of moisture, wort protein, and diastatic power in germinating (green) malt. Spectra of green malt samples were collected over a wavelength range of 400– 2,500 nm; however, only energy in a wavelength range of 1,100–2,500 nm was used during calibration development. Calibration performance was evaluated using spectral data processed in the form of the logarithm of reciprocal reflectance (log (1/R)) and the first derivative of log (1/R). Partial least square regression was used to develop calibration equations. Optimal calibrations were produced using spectra processed as the first derivative of log (1/R) for moisture and as log (1/R) for wort protein and diastatic power. Standard errors of cross-validation achieved for calibrations were 0.68% (moisture), 0.28% (wort protein), and 20° ASBC (diastatic power). The performance of wort protein and diastatic power calibrations were examined in analytical tracking studies of malt batches. Wort protein calibration demonstrated a high degree of predictive accuracy, but the performance of the diastatic power calibration was less than satisfactory.
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