Near-infrared spectroscopic (NIR) technique was used, for the first time, to predict volatile
phenols content, namely guaiacol, 4-methyl-guaiacol, eugenol, syringol, 4-methyl-syringol and 4-
allyl-syringol, of aged wine spirits (AWS). This study aimed to develop calibration models for the
volatile phenol’s quantification in AWS, by NIR, faster and without sample preparation. Partial
least square regression (PLS-R) models were developed with NIR spectra in the near-IR region
(12,500–4000 cm−1
) and those obtained from GC-FID quantification after liquid-liquid extraction. In
the PLS-R developed method, cross-validation with 50% of the samples along a validation test set
with 50% of the remaining samples. The final calibration was performed with 100% of the data. PLS-R
models with a good accuracy were obtained for guaiacol (r2 = 96.34; RPD = 5.23), 4-methyl-guaiacol
(r2 = 96.1; RPD = 5.07), eugenol (r2 = 96.06; RPD = 5.04), syringol (r2 = 97.32; RPD = 6.11), 4-methylsyringol (r2 = 95.79; RPD = 4.88) and 4-allyl-syringol (r2 = 95.97; RPD = 4.98). These results reveal that
NIR is a valuable technique for the quality control of wine spirits and to predict the volatile phenols
content, which contributes to the sensory quality of the spirit beverages. info:eu-repo/semantics/publishedVersion