LWT · 2012 · 13 citations · 14 references
AgricultureFood ScienceFood AnalysisFood ChemistryFood ProcessingChromatographic Food AnalysisFood Safety AnalysisFood Safety AssessmentFood Safety In ProcessingSpectroscopic Food AnalysisCalibration ModelsCross-validationCross-validation StudiesFlavor Compound AnalysisFood Flavor AnalysisFood Safety DetectionIndustrial Process Monitoring
The aim of this study was to evaluate the potential of using front face fluorescence (FFF) to monitor the impact of industrial process on carrot baby food, and to calibrate their content in neoformed compounds (NFC). Chromatographically measured NFC included furosine, carboxymethyllysine, and furan. The effect of using different raw material, fresh carrots, frozen cubes or pasteurized puree on NFC content in the resultant sterilized puree was also tested. Bidimensional FFF spectra acquired on the samples were decomposed using multiway PARAFAC model and used to predict the chromatographically measured NFC. FFF PARAFAC sample intensities systematically evolved with successive industrial process steps. The levels of NFC increased the most during heat treatment operations. Frozen cubes resulted in the purees with the lowest content in NFC, compared to fresh or pasteurized carrot cubes. Satisfactory calibration models (R2 > 0.94) of the chromatographically measured NFC were obtained using FFF PARAFAC sample intensities as predictors. The multivariate regression models root mean square of cross validation for furosine, carboxymethyllysine, and furan were 3.98 mg/kg, 1.38 mg/kg and 5.23 µg/kg, respectively. From these first results we conclude that FFF is a promising tool to monitor fast and easily vegetable processing in a quality control approach.
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PARAFAC. Tutorial and applications
Rasmus Bro · Chemometrics and Intelligent Laboratory Systems · 1997 · 2.8K citations
Joy C Rickman, Christine Bruhn, Diane M. Barrett · Journal of the Science of Food and Agriculture · 2007 · 253 citations