NIR and MIR spectroscopy as rapid methods to monitor red wine fermentation

被引:118
作者
Di Egidio, Valentina [1 ]
Sinelli, Nicoletta [1 ]
Giovanelli, Gabriella [1 ]
Moles, Agostina [1 ]
Casiraghi, Ernestina [1 ]
机构
[1] Univ Milan, Dept Food Sci & Technol, I-20133 Milan, Italy
关键词
Alcoholic fermentation; NIR spectroscopy; MIR spectroscopy; Red wine; Process monitoring; NEAR-INFRARED SPECTROSCOPY; REFLECTANCE; BIOPROCESS; QUALITY; SCALE; FOOD;
D O I
10.1007/s00217-010-1227-5
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Fifteen micro-fermentation trials were conducted during the 2008 vintage harvest in the Valtellina (Northern Italy) viticultural area. During fermentation, the spectra were achieved in the near and mid-infrared region by a FT-NIR spectrometer and a FT-IR spectrometer, respectively. Samples were also analysed by using chemical methods to evaluate sugars (glucose and fructose), alcohols (ethanol and glycerol) and phenolic compounds (total phenolics, total anthocyanins and total flavonoids). The pretreated spectral data were processed using principal component analysis. After feature selection by the algorithm SELECT, linear discriminant analysis (LDA) was applied to spectral data as a classification technique, to predict the fermentation stage from initial to final phase. Moreover, partial least square regression was used to predict sugar content, ethanol, glycerol and phenolic compounds simultaneously. LDA results, characterised by a high percentage of correct classification (87% and 100% as average value in prediction for NIR and MIR spectroscopy, respectively), showed that samples belonging to a particular fermentation step could be correctly classified. Good calibration models for the prediction of the main compositional changes during alcoholic fermentation were obtained with both FT-NIR and FT-IR, suggesting that either instruments could be used to evaluate online and simultaneously these compounds in red wine.
引用
收藏
页码:947 / 955
页数:9
相关论文
共 26 条
[11]   Stepwise orthogonalization of predictors in classification and regression techniques: An "old" technique revisited [J].
Forina, Michele ;
Lanteri, Silvia ;
Casale, Monica ;
Oliveros, M. Conception Cerrato .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2007, 87 (02) :252-261
[12]  
Lanteri M. Forina. S., 2008, THESIS U GENOVA
[13]  
Massart D.L., 1998, HDB CHEMOMETRICS Q B
[14]   Analysis of organic acids in wines by Fourier-transform infrared spectroscopy [J].
Moreira, JL ;
Santos, L .
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2005, 382 (02) :421-425
[15]  
Naes T., 2000, USER FRIENDLY GUIDE
[16]   Multiplexing fibre optic near infrared (NIR) spectroscopy as an emerging technology to monitor industrial bioprocesses [J].
Roychoudhury, Payal ;
O'Kennedy, Ronan ;
McNeil, Brian ;
Harvey, Linda M. .
ANALYTICA CHIMICA ACTA, 2007, 590 (01) :110-117
[17]   The potential of mid infrared spectroscopy (MIRS) for real time bioprocess monitoring [J].
Roychoudhury, Payal ;
Harvey, Linda M. ;
McNeil, Brian .
ANALYTICA CHIMICA ACTA, 2006, 571 (02) :159-166
[18]   FTIR spectroscopy applied to bacterial cells as a novel method for monitoring complex biotechnological processes [J].
Schuster, KC ;
Mertens, F ;
Gapes, JR .
VIBRATIONAL SPECTROSCOPY, 1999, 19 (02) :467-477
[19]  
SINGLETON V. L., 1965, AMER J ENOL VITICULT, V16, P144
[20]   Simultaneous determination of multiple components in lactic acid fermentation using FT-MIR, NIR, and FT-Raman spectroscopic techniques [J].
Sivakesava, S ;
Irudayaraj, J ;
Ali, D .
PROCESS BIOCHEMISTRY, 2001, 37 (04) :371-378