{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T09:09:21Z","timestamp":1760346561263,"version":"build-2065373602"},"reference-count":47,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2016,10,19]],"date-time":"2016-10-19T00:00:00Z","timestamp":1476835200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007652","name":"INIA","doi-asserted-by":"publisher","award":["RTA2012-00062-C04-02"],"award-info":[{"award-number":["RTA2012-00062-C04-02"]}],"id":[{"id":"10.13039\/100007652","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A technique that combines the spatial resolution of a 3D structured-light (SL) imaging system with the spectral analysis of a hyperspectral short-wave near infrared system was developed for freshness predictions of gilthead sea bream on the first storage days (Days 0\u20136). This novel approach allows the hyperspectral analysis of very specific fish areas, which provides more information for freshness estimations. The SL system obtains a 3D reconstruction of fish, and an automatic method locates gilthead\u2019s pupils and irises. Once these regions are positioned, the hyperspectral camera acquires spectral information and a multivariate statistical study is done. The best region is the pupil with an R2 of 0.92 and an RMSE of 0.651 for predictions. We conclude that the combination of 3D technology with the hyperspectral analysis offers plenty of potential and is a very promising technique to non destructively predict gilthead freshness.<\/jats:p>","DOI":"10.3390\/s16101735","type":"journal-article","created":{"date-parts":[[2016,10,19]],"date-time":"2016-10-19T10:32:57Z","timestamp":1476873177000},"page":"1735","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Predicting Gilthead Sea Bream (Sparus aurata) Freshness by a Novel Combined Technique of 3D Imaging and SW-NIR Spectral Analysis"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6062-2061","authenticated-orcid":false,"given":"Eugenio","family":"Ivorra","sequence":"first","affiliation":[{"name":"Departamento de Ingenier\u00eda de Sistemas y Autom\u00e1tica, Universidad Polit\u00e8cnica de Val\u00e8ncia, Valencia 46022, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samuel","family":"Verdu","sequence":"additional","affiliation":[{"name":"Departamento de Tecnolog\u00eda de Alimentos, Universidad Polit\u00e8cnica de Val\u00e8ncia, Valencia 46022, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1896-5356","authenticated-orcid":false,"given":"Antonio","family":"S\u00e1nchez","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier\u00eda de Sistemas y Autom\u00e1tica, Universidad Polit\u00e8cnica de Val\u00e8ncia, Valencia 46022, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ra\u00fal","family":"Grau","sequence":"additional","affiliation":[{"name":"Departamento de Tecnolog\u00eda de Alimentos, Universidad Polit\u00e8cnica de Val\u00e8ncia, Valencia 46022, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9","family":"Barat","sequence":"additional","affiliation":[{"name":"Departamento de Tecnolog\u00eda de Alimentos, Universidad Polit\u00e8cnica de Val\u00e8ncia, Valencia 46022, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,10,19]]},"reference":[{"key":"ref_1","unstructured":"FAO Fisheries and Aquaculture Department (2013). Global Aquaculture Production Statistics for the Year, FAO Fisheries and Aquaculture Department."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1016\/S0924-2244(97)01049-2","article-title":"Methods to evaluate fish freshness in research and industry","volume":"8","author":"Olafsdattir","year":"1997","journal-title":"Trends Food Sci. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Rehbein, H., and Oehlenschlger, J. (2009). Fishery Products, Wiley-Blackwell.","DOI":"10.1002\/9781444322668"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.foodcont.2013.07.025","article-title":"Use of impedance spectroscopy for predicting freshness of sea bream (Sparus aurata)","volume":"35","author":"Fuentes","year":"2014","journal-title":"Food Control"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.foodchem.2014.11.156","article-title":"Development of a colorimetric sensor array for squid spoilage assessment","volume":"175","author":"Fuentes","year":"2015","journal-title":"Food Chem."},{"key":"ref_6","unstructured":"Federation European Aquaculture Producers (2014). European Aquaculture Production Report, Federation European Aquaculture Producers."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/S0308-8146(00)00196-5","article-title":"Freshness assessment of cultured sea bream (Sparus aurata) by chemical, physical and sensory methods","volume":"72","author":"Alasalvar","year":"2001","journal-title":"Food Chem."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1016\/j.foodchem.2007.10.034","article-title":"Freshness monitoring of sea bream (Sparus aurata) with a potentiometric sensor","volume":"108","author":"Barat","year":"2008","journal-title":"Food Chem."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1016\/S0963-9969(02)00220-X","article-title":"Comparison of selected methods of assessing freshness quality and remaining storage life of iced gilthead sea bream (Sparus aurata)","volume":"36","author":"Lougovois","year":"2003","journal-title":"Food Res. Int."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1374","DOI":"10.1016\/j.foodchem.2012.10.114","article-title":"Evaluation of sea bream (Sparus aurata) shelf life using an optoelectronic nose","volume":"138","author":"Fuentes","year":"2013","journal-title":"Food Chem."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.jfoodeng.2013.05.023","article-title":"Freshness assessment of gilthead sea bream (Sparus aurata) by machine vision based on gill and eye color changes","volume":"119","author":"Dowlati","year":"2013","journal-title":"J. Food Eng."},{"key":"ref_12","unstructured":"Menesatti, P., Costa, C., and Aguzzi, J. (2010). Hyperspectral Imaging for Food Quality Analysis and Control, Academic Press."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.tifs.2014.03.006","article-title":"Hyperspectral imaging as an effective tool for quality analysis and control of fish and other seafoods: Current research and potential applications","volume":"37","author":"Cheng","year":"2014","journal-title":"Trends Food Sci. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1016\/j.foodchem.2014.08.124","article-title":"Suitability of hyperspectral imaging for rapid evaluation of thiobarbituric acid (TBA) value in grass carp (Ctenopharyngodon idella) fillet","volume":"171","author":"Cheng","year":"2015","journal-title":"Food Chem."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jfoodeng.2016.02.004","article-title":"Developing a multispectral imaging for simultaneous prediction of freshness indicators during chemical spoilage of grass carp fish fillet","volume":"182","author":"Cheng","year":"2016","journal-title":"J. Food Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.jfoodeng.2013.02.022","article-title":"Detection of expired vacuum-packed smoked salmon based on PLS-DA method using hyperspectral images","volume":"117","author":"Ivorra","year":"2013","journal-title":"J. Food Eng."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.jfoodeng.2010.10.030","article-title":"Automatic freshness assessment of cod (Gadus morhua) fillets by Vis\/Nir spectroscopy","volume":"103","author":"Sivertsen","year":"2011","journal-title":"J. Food Eng."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.foodcont.2014.02.010","article-title":"Laser-based imaging system for non-invasive monitoring of quality changes of papaya during drying","volume":"42","author":"Udomkun","year":"2014","journal-title":"Food Control"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.foodcont.2013.02.031","article-title":"Comparison of TOF and SL techniques for in-line measurement of food item volume using animal and vegetable tissues","volume":"33","author":"Ivorra","year":"2013","journal-title":"Food Control"},{"key":"ref_20","unstructured":"Marchant, J. (2000, January 3\u20137). Fusing 3D information for crop\/weeds classification. Proceedings of the 15th International Conference on Pattern Recognition, Barcelona, Spain."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"47","DOI":"10.14358\/PERS.72.1.47","article-title":"Mapping Sagebrush Distribution Using Fusion of Hyperspectral and Lidar Classifications","volume":"72","author":"Mundt","year":"2006","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.isprsjprs.2012.03.005","article-title":"Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment","volume":"69","author":"Naidoo","year":"2012","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_23","first-page":"B5","article-title":"Geological outcrop modelling and interpretation using ground based hyperspectral and laser scanning data fusion","volume":"37","author":"Kurz","year":"2008","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.cageo.2013.01.018","article-title":"Terrestrial lidar and hyperspectral data fusion products for geological outcrop analysis","volume":"54","author":"Buckley","year":"2013","journal-title":"Comput. Geosci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/S0168-1605(99)00142-7","article-title":"Use of time\u2013temperature integrators and predictive modelling for shelf life control of chilled fish under dynamic storage conditions","volume":"53","author":"Taoukis","year":"1999","journal-title":"Int. J. Food Microbiol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1016\/j.foodchem.2005.06.041","article-title":"Changes in the quality of fish oils due to storage temperature and time","volume":"98","author":"Boran","year":"2006","journal-title":"Food Chem."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1016\/j.foodcont.2007.07.014","article-title":"Study of sea bass (Dicentrarchus labrax L.) salting process: Kinetic and thermodynamic control","volume":"19","author":"Fuentes","year":"2008","journal-title":"Food Control"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"756","DOI":"10.4315\/0362-028X-50.9.756","article-title":"Rapid quantitative determination of trimethylamine using steam distillation","volume":"50","author":"Malle","year":"1987","journal-title":"J. Food Prot."},{"key":"ref_29","first-page":"551","article-title":"Freshness test of fish using measurement of refractive index of eye and mussel fluids of fish","volume":"11","author":"Kiertzmann","year":"1964","journal-title":"Zentralbratt Veterin\u00e4r-Medezin"},{"key":"ref_30","unstructured":"Trobina, M. Error Model of a Coded-Light Range Sensor. Available online: http:\/\/citeseerx.ist.psu.edu\/viewdoc\/download?doi=10.1.1.34.6434&rep=rep1&type=pdf."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.1109\/34.888718","article-title":"A flexible new technique for camera calibration","volume":"22","author":"Zhang","year":"2000","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.jfoodeng.2013.12.031","article-title":"Continuous monitoring of bread dough fermentation using a 3D vision Structured Light technique","volume":"130","author":"Ivorra","year":"2014","journal-title":"J. Food Eng."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","article-title":"A Threshold Selection Method from Gray-Level Histograms","volume":"9","author":"Otsu","year":"1979","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/S0169-7439(98)00109-9","article-title":"Orthogonal signal correction of near-infrared spectra","volume":"44","author":"Wold","year":"1998","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"ref_35","unstructured":"Horaud, R., Mohr, R., and Lorecki, B. (1992, January 12\u201314). Linear Camera Calibration. Proceedings of the 1992 IEEE International Conference on Robotics and Automation, Nice, France."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1002\/cem.1180010107","article-title":"Multi-way principal components-and PLS-analysis","volume":"1","author":"Wold","year":"1987","journal-title":"J. Chemom."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/0169-7439(93)85002-X","article-title":"SIMPLS: An alternative approach to partial least squares regression","volume":"18","year":"1993","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"ref_38","unstructured":"Holland, J.H. (1975). Adaptation in Natural and Artificial Systems, University of Michigan Press."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.tifs.2016.01.011","article-title":"Data mining derived from food analyses using non-invasive\/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines","volume":"50","author":"Ropodi","year":"2016","journal-title":"Trends Food Sci. Technol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1586","DOI":"10.1007\/s13197-013-1166-9","article-title":"Microbiological evolution of gilthead sea bream (Sparus aurata) in Canary Islands during ice storage","volume":"52","author":"Carrascosa","year":"2013","journal-title":"J. Food Sci. Technol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.ijfoodmicro.2004.05.024","article-title":"Effects of modified atmosphere and vacuum packaging on microbiological and chemical properties of rainbow trout (Oncorynchus mykiss) fillets","volume":"97","author":"Arashisar","year":"2004","journal-title":"Int. J. Food Microbiol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.foodchem.2003.05.006","article-title":"The effects of modified atmosphere packaging and vacuum packaging on chemical, sensory and microbiological changes of sardines (Sardina pilchardus)","volume":"85","author":"Polat","year":"2004","journal-title":"Food Chem."},{"key":"ref_43","unstructured":"Pascual, M., Calder\u00f3n, V., and Pascual, M.A. (1999). Metodolog\u00eda Anal\u00edtica Para Alimentos y Bebidas, D\u00edaz de Santos."},{"key":"ref_44","unstructured":"Ingram, M. (1978). Sampling for Microbiological Analysis: Principles and Specific Applications, University of Toronto Press."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2291","DOI":"10.1007\/s11947-013-1227-0","article-title":"Innovative Automated Landmark Detection for Food Processing: The Backwarping Approach","volume":"7","author":"Costa","year":"2014","journal-title":"Food Bioprocess Technol."},{"key":"ref_46","first-page":"181","article-title":"Deterioration and shelf-life extension of fish and fishery products by modified atmosphere packaging","volume":"33","author":"Masniyom","year":"2011","journal-title":"Sonklanakarin J. Sci. Technol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1097\/00000433-199706000-00010","article-title":"Determination of Postmortem Interval by Sampling Vitreous Humour","volume":"18","author":"James","year":"1997","journal-title":"Am. J. Forensic Med. Pathol."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/10\/1735\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:33:22Z","timestamp":1760211202000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/10\/1735"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,19]]},"references-count":47,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2016,10]]}},"alternative-id":["s16101735"],"URL":"https:\/\/doi.org\/10.3390\/s16101735","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2016,10,19]]}}}