naa a22 4500 510726453 CHVBK 20180411082937.0 cr unu---uuuuu 180411e20130801xx s 000 0 eng 10.1007/s11947-011-0773-6 doi (NATIONALLICENCE)springer-10.1007/s11947-011-0773-6 An Advanced Colour Calibration Method for Fish Freshness Assessment: a Comparison Between Standard and Passive Refrigeration Modalities [Elektronische Daten] [Corrado Costa, Francesca Antonucci, Paolo Menesatti, Federico Pallottino, Clara Boglione, Stefano Cataudella] Freshness represents a pivotal aspect in fish product for both security and quality. Its evaluation still represents the key factor driving the consumer' choices. Fish appearance is affected by many different factors that demand the contribution of different disciplines to be understood: from the physical and optical properties to the slaughtering and post-slaughtering conditions. An innovative preservation system is represented by the Passive Refrigeration PRS™ developed for the preservation and transport of perishable food products. Scientific methods for product freshness evaluation may be conveniently divided into two categories: sensorial and instrumental. In this study, an instrumental method of colour calibration and discrimination is proposed at pilot scale for automatic evaluation of gilthead seabream (Sparus aurata) freshness. We propose a non-destructive method based on the colorimetric imaging of the whole external body of seabreams to evaluate through multivariate partial least squares which approach the differences in the freshness preservation under four refrigeration modalities. The matrix of the independent variables is represented by RGB values for each pixel belonging to an extracted region of interest (129,633 values). The dependent variable is composed by two dummy variable corresponding to fresh (T0) or non-fresh (T2) individuals. T1 individuals were used as external test. The results quantified significant colorimetric differences between fresh and non-fresh fish. All fish used to create the model (T0 and T2) were correctly classified as fresh or non-fresh, while external test individuals (T1) were all classified as fresh. The proposed imaging method merges different image analysis techniques: (a) colorimetric calibration, (b) morphometric superimposition and (c) partial least square discriminant analysis modelling. This innovative and non-destructive approach allows the automatic assessment of fish freshness. Springer Science+Business Media, LLC, 2012 Fish freshness assessment nationallicence Gilthead seabream nationallicence Colorimetric calibration nationallicence PLS nationallicence Warping nationallicence Passive refrigeration system nationallicence Costa Corrado CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Via della Pascolare, 16, Monterotondo Scalo, 00015, Rome, Italy aut Antonucci Francesca CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Via della Pascolare, 16, Monterotondo Scalo, 00015, Rome, Italy aut Menesatti Paolo CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Via della Pascolare, 16, Monterotondo Scalo, 00015, Rome, Italy aut Pallottino Federico CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Via della Pascolare, 16, Monterotondo Scalo, 00015, Rome, Italy aut Boglione Clara Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome "Tor Vergata”, Via della Ricerca Scientifica, 00133, Rome, Italy aut Cataudella Stefano Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome "Tor Vergata”, Via della Ricerca Scientifica, 00133, Rome, Italy aut Food and Bioprocess Technology Springer US; http://www.springer-ny.com 6/8(2013-08-01), 2190-2195 1935-5130 6:8<2190 2013 6 11947 https://doi.org/10.1007/s11947-011-0773-6 text/html Onlinezugriff via DOI 1 brief-communication jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11947-011-0773-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Costa Corrado CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Via della Pascolare, 16, Monterotondo Scalo, 00015, Rome, Italy aut NATIONALLICENCE 700 1- Antonucci Francesca CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Via della Pascolare, 16, Monterotondo Scalo, 00015, Rome, Italy aut NATIONALLICENCE 700 1- Menesatti Paolo CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Via della Pascolare, 16, Monterotondo Scalo, 00015, Rome, Italy aut NATIONALLICENCE 700 1- Pallottino Federico CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Via della Pascolare, 16, Monterotondo Scalo, 00015, Rome, Italy aut NATIONALLICENCE 700 1- Boglione Clara Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome "Tor Vergata”, Via della Ricerca Scientifica, 00133, Rome, Italy aut NATIONALLICENCE 700 1- Cataudella Stefano Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome "Tor Vergata”, Via della Ricerca Scientifica, 00133, Rome, Italy aut NATIONALLICENCE 773 0- Food and Bioprocess Technology Springer US; http://www.springer-ny.com 6/8(2013-08-01), 2190-2195 1935-5130 6:8<2190 2013 6 11947 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer