کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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4563984 | 1330910 | 2012 | 7 صفحه PDF | دانلود رایگان |

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.
► Manufacturing of carrot baby food induces formation of neoformed contaminants.
► These contaminants are mainly produced during strong heat operations.
► Fluorescence analysis evidences product physico-chemical changes during the process.
► Multiway analysis of the fluorescence image allows modeling of such changes.
► Calibration models chromatographically measured NFC allow assessing neoformed contaminants in real time.
Journal: LWT - Food Science and Technology - Volume 49, Issue 2, December 2012, Pages 305–311