Determining quality parameters of fish oils by means of 1H nuclear magnetic resonance, mid-infrared, and near-infrared spectroscopy in combination with multivariate statistics

Article ID	Journal	Published Year	Pages	File Type
8889292	Food Research International	2018	13 Pages	PDF

Keywords

EPA TMS Resilient backpropagation RMSEC Rprop tetramethylsilane ANV SEP DGF SPA TBARS DTGs ratio of performance to deviation RPD MLR PLSR ANN RMSECV RMSEP ATR Acid value Anisidine value Peroxide value Eicosapentaenoic acid docosahexaenoic acid Successive Projections Algorithm Attenuated total reflectance MAE Data fusion Standard error of prediction root mean square error of prediction Root Mean Square Error of Calibration DHA Partial least squares regression Multiple linear regression artificial neural networks Nuclear magnetic resonance spectroscopy Infrared spectroscopy CARS thiobarbituric acid reactive substances root mean square error of cross-validation Competitive adaptive reweighted sampling NIPALS

Related Topics

Life Sciences Agricultural and Biological Sciences Food Science

Determining quality parameters of fish oils by means of 1H nuclear magnetic resonance, mid-infrared, and near-infrared spectroscopy in combination with multivariate statistics

Authors

Editha Giese, Ole Winkelmann, Sascha Rohn, Jan Fritsche,