Prediction of naturally-occurring, industrially-induced and total trans fatty acids in butter, dairy spreads and Cheddar cheese using vibrational spectroscopy and multivariate data analysis

被引:18
|
作者
Zhao, Ming [1 ,2 ]
Beattie, Renwick J. [3 ]
Fearon, Anna M. [3 ]
O'Donnell, Colm P. [2 ]
Downey, Gerard [1 ,2 ]
机构
[1] Teagasc Food Res Ctr Ashtown, Dublin 15, Ireland
[2] Univ Coll Dublin, Sch Biosyst Engn, Dublin 4, Ireland
[3] Agrifood & Biosci Inst, Belfast, Antrim, North Ireland
关键词
INFRARED-SPECTROSCOPY; RISK-FACTORS; MILK; ISOMERS; FRESH;
D O I
10.1016/j.idairyj.2015.07.011
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
This study investigated the use of vibrational spectroscopy [near infrared (NIR), Fourier-transform mid-infrared (FT-MIR), Raman] and multivariate data analysis for (1) quantifying total trans fatty acids (TT), and (2) separately predicting naturally-occurring (NT: i.e., C16:1 t9; C18:1 trans-n, n = 6 ... 9, 10, 11; C18:2 trans) and industrially-induced trans fatty acids (IT = TT - NT) in Irish dairy products, i.e., butter (n = 60), Cheddar cheese (n = 44), and dairy spreads (n = 54). Partial least squares regression models for predicting NT, IT and TT in each type of dairy product were developed using FT-MIR, NIR and Raman spectral data. Models based on NIR, FT-MIR and Raman spectra were used for the prediction of NT and TT content in butter; best prediction performance achieved a coefficient of determination in validation ((RV)-V-2) similar to 0.91-0.95, root mean square error of prediction (RMSEP) similar to 0.07-0.30 for NT; (RV)-V-2 similar to 0.92-0.95, RMSEP similar to 0.23-0.29 for TT. (C) 2015 Elsevier Ltd. All rights reserved.
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页码:41 / 51
页数:11
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