Research Article

The Application of FT-IR Spectroscopy for Quality Control of Flours Obtained from Polish Producers

Table 6

Parameters describing the calibrated models obtained with PLS.

ParameterSpectral rangeRMSECRMSEPRMSECV calibration predictionPRESSFactors numberMeanRange

Proteins (model I)I2, I6, I7, I80.220.320.290.970.932.14109.696.28–13.39
Crude fat (model II)I1, I6, I9, I110.110.130.180.960.940.6932.211.5–3.5
Ash (model III)I1, I4, I5, I60.380.550.190.950.941.2721.490.49–5.58
Moisture (model IV)I1, I90.110.150.190.940.890.76512.3711.1–13.7
CaloricityI1, I2, I3, I6, I7, I8, I9, I1081.543.81.060.850.9226.89315987.2615477.83–16778.33
Falling numberI2, I3, I5, I7, I810.818.20.840.950.9621.234224.54107–316
Palmitic acidI2, I5, I6, I9, I111.311.881.490.710.51105.27319.1215.99–23.59
Stearic acidI2, I5, I6, I9, I110.160.190.210.250.171.9920.760.36–1.04
Arachidic acidI2, I5, I6, I9, I110.050.060.060.760.750.1310.730.45–1.35
Oleic acidI2, I5, I6, I9, I111.662.042.540.660.54304.32316.6513.35–21.50
Linoleic acidI2, I5, I6, I9, I111.181.141.840.760.42159.78657.7654.58–61.36
Linolenic acidI5, I7, I9, I121.321.761.430.0060.1095.8414.963.17–8.10