New PLS analysis approach to wine volatile compounds characterization by near infrared spectroscopy (NIR)

被引:87
作者
Genisheva, Z. [1 ]
Quintelas, C. [1 ]
Mesquita, D. P. [1 ]
Ferreira, E. C. [1 ]
Oliveira, J. M. [1 ]
Amaral, A. L. [1 ,2 ]
机构
[1] Univ Minho, CEB Ctr Biol Engn, P-4710057 Braga, Portugal
[2] Inst Politecn Coimbra, ISEC, DEQB, Rua Pedro Nunes, P-3030199 Coimbra, Portugal
关键词
NIR spectroscopy; PCA; PLS; Volatile compounds; Wine; PHENOLIC-COMPOUNDS; GRAPE SKINS; RED; FERMENTATIONS; REFLECTANCE;
D O I
10.1016/j.foodchem.2017.11.015
中图分类号
O69 [应用化学];
学科分类号
070301 [无机化学];
摘要
This work aims to explore the potential of near infrared (NIR) spectroscopy to quantify volatile compounds in Vinho Verde wines, commonly determined by gas chromatography. For this purpose, 105 Vinho Verde wine samples were analyzed using Fourier transform near infrared (FT-NIR) transmission spectroscopy in the range of 5435 cm(-1) to 6357 cm(-1). Boxplot and principal components analysis (PCA) were performed for clusters identification and outliers removal. A partial least square (PLS) regression was then applied to develop the calibration models, by a new iterative approach. The predictive ability of the models was confirmed by an external validation procedure with an independent sample set. The obtained results could be considered as quite good with coefficients of determination (R-2) varying from 0.94 to 0.97. The current methodology, using NIR spectroscopy and chemometrics, can be seen as a promising rapid tool to determine volatile compounds in Vinho Verde wines.
引用
收藏
页码:172 / 178
页数:7
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