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Real-Time Monitoring of Organic Carrot (var. Romance) During Hot-Air Drying Using Near-Infrared Spectroscopy

Moscetti, Roberto; Haff, Ron P.; Ferri, Serena; Raponi, Flavio; Monarca, Danilo; Liang, Peishih and Massantini, Riccardo (2017) Real-Time Monitoring of Organic Carrot (var. Romance) During Hot-Air Drying Using Near-Infrared Spectroscopy. Food and Bioprocess Technology, 10 (11), pp. 2046-2059.

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The worldwide consumption of dried carrot (Daucus carota L.) is on a growing trend. Conventional methods for drying carrots include hot-water blanching followed by hot-air drying, which is usually uncontrolled and therefore prone to product quality deterioration. Thus, there is a need for innovative drying systems that yield high-value end products. In this study, the efficacy of NIR spectroscopy for the non-destructive monitoring of physicochemical changes and drying behaviour in organic carrot slices during 8-h hot-air drying at 40 °C was demonstrated using Partial least squares (PLS) regression and PLS discriminant analysis (PLS-DA). The impact of hot-water blanching pre-treatment (at 95 °C for 1.45 min) for enzyme inactivation on performances of both regression and classification models was also evaluated. PLS regression models were successfully developed to monitor changes in water activity (R2 = 0.91–0.96), moisture content (R2 = 0.97–0.98), total carotenoids content (R2 = 0.92–0.96), lightness for unblanched carrots (R2 = 0.80–0.83) and hue angle for blanched samples (R2 = 0.85–0.87). Soluble solids content prediction was poor for both treatments (RMSEP = 3.43–4.40). Classification models were developed to recognise dehydration phases of carrot slices on the basis of their NIR spectral profile using K-means and PLS-DA algorithms in sequence. The performance of each PLS-DA model was defined based on its accuracy, sensitivity and specificity rates. All of the selected models provided from good (> 0.85) to excellent (> 0.95) sensitivity and specificity for the predefined drying phases. Feature selection procedures yielded both regression and classification models with performances very similar to models computed from the full spectrum.

EPrint Type:Journal paper
Keywords:Daucus carotaL., Smart drying, Carrot slices, Convective air drying, Chemometrics, Feature selection, BÖLN, BOELN, BÖL, BOEL, FKZ 14OE006, Core Organic Plus, SusOrganic
Subjects: Food systems > Food security, food quality and human health
Food systems > Processing, packaging and transportation
Research affiliation: European Union > CORE Organic Plus > SusOrganic
Germany > Federal Organic Farming Scheme - BOELN > Food > Processing
Italy > Univ. Tuscia
USA > Other organizations
Related Links:http://coreorganicplus.org/research-projects/susorganic/, http://www.bundesprogramm.de, https://orgprints.org/perl/search/advanced?addtitle%2Ftitle=&keywords=14OE006&%20projects=BOELN&_order=bypublication&_action_search=Suchen
Deposited By: von Gersdorff, Gardis J.E.
ID Code:31398
Deposited On:13 Dec 2017 10:59
Last Modified:13 Dec 2017 10:59
Document Language:English
Refereed:Peer-reviewed and accepted

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