Near-infrared (NIR) spectra were recorded for commercial apple juices. Analysis of these spectra using partial least squares (PLS) regression revealed quantitative relations between the spectra and quality- and taste-related properties of juices: soluble solids content (SSC), titratable acidity (TA), and the ratio of soluble solids content to titratable acidity (SSC/TA). Various spectral preprocessing methods were used for model optimization. The optimal spectral variables were chosen using the jack-knife-based method and different variants of the interval PLS (iPLS) method. The models were cross-validated and evaluated based on the determination coefficients ( R 2 ), root-mean-square error of cross-validation (RMSECV), and relative error (RE). The best model for the prediction of SSC ( R 2 = 0.881, RMSECV = 0.277 °Brix, and RE = 2.37%) was obtained for the first-derivative preprocessed spectra and jack-knife variable selection. The optimal model for TA ( R 2 = 0.761, RMSECV = 0.239 g/L, and RE = 4.55%) was obtained for smoothed spectra in the range of 6224–5350 cm −1 . The best model for the SSC/TA ( R 2 = 0.843, RMSECV = 0.113, and RE = 5.04%) was obtained for the spectra without preprocessing in the range of 6224–5350 cm −1 . The present results show the potential of the NIR spectroscopy for screening the important quality parameters of apple juices.
Włodarska, K., Khmelinskii, I., & Sikorska, E. (2018). Evaluation of Quality Parameters of Apple Juices Using Near-Infrared Spectroscopy and Chemometrics. Journal of Spectroscopy, 2018, 1–8. https://doi.org/10.1155/2018/5191283