Publication Type Journal Article
Title PLS-R Calibration Models for Wine Spirit Volatile Phenols Prediction by Near-Infrared Spectroscopy
Authors Ofelia Anjos Ilda Caldeira Tiago A. Fernandes Soraia Ines Pedro Claudia Vitoria Sheila Oliveira-Alves S Catarino Sara Canas
Groups BioMol
Journal SENSORS
Year 2022
Month
Notice: Undefined index: in /afs/ist.utl.pt/groups/cqe/web/tmp/templates_c/77f86a5f762542dadf50c7f7fefa96acd45c2726_0.file.paper.tpl.html.php on line 163
Volume 22
Number 1
Pages
Abstract 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 (r(2) = 96.34; RPD = 5.23), 4-methyl-guaiacol (r(2) = 96.1; RPD = 5.07), eugenol (r(2) = 96.06; RPD = 5.04), syringol (r(2) = 97.32; RPD = 6.11), 4-methyl-syringol (r(2) = 95.79; RPD = 4.88) and 4-allyl-syringol (r(2) = 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.
DOI http://dx.doi.org/10.3390/s22010286
ISBN
Publisher
Book Title
ISSN
EISSN 1424-8220
Conference Name
Bibtex ID WOS:000759130900001
Observations
Back to Publications List