Robotti Elisa, Belay Masho Hilawie, Calà Elisa, Benedetto Alessandro, Cerruti Simone, Pezzolato Marzia, Pennisi Francesco, Abete Maria Cesarina, Marengo Emilio, Brizio Paola
Department of Sciences and Technological Innovation, University of Piemonte Orientale, Viale Michel 11, 15121 Alessandria, Italy.
Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154 Torino, Italy.
Foods. 2023 Jan 18;12(3):449. doi: 10.3390/foods12030449.
In the field of food control for fresh products, the identification of foods subjected to illicit conservation treatments to extend their shelf life is fundamental. Fresh fish products are particularly subjected to this type of fraud due to their high commercial value and the fact that they often have to be transported over a long distance, keeping their organoleptic characteristics unaltered. Treatments of this type involve, e.g., the bleaching of the meat and/or the momentary abatement of the microbial load, while the degradation process continues. It is therefore important to find rapid methods that allow the identification of illicit treatments. The study presented here was performed on 24 sea bass samples divided into four groups: 12 controls (stored on ice in the fridge for 3 or 24 h), and 12 treated with a Cafodos-like solution for 3 or 24 h. Muscle and skin samples were then characterized using micro-Raman spectroscopy. The data were pre-processed by smoothing and taking the first derivative and then PLS-DA models were built to identify short- and long- term effects on the fish's muscle and skin. All the models provided the perfect classification of the samples both in fitting and cross-validation and an analysis of the bands responsible for the effects was also reported. To the best of the authors' knowledge, this is the first time Raman spectroscopy has been applied for the identification of a Cafodos-like illicit treatment, focusing on both fish muscle and skin evaluation. The procedure could pave the way for a future application directly on the market through the use of a portable device.
在新鲜产品的食品控制领域,识别经过非法保鲜处理以延长保质期的食品至关重要。新鲜鱼产品因其高商业价值以及常常需要长途运输且保持其感官特性不变的事实,特别容易遭受此类欺诈。这类处理包括,例如,鱼肉的漂白和/或微生物负荷的短暂降低,而降解过程仍在继续。因此,找到能够识别非法处理的快速方法很重要。此处呈现的研究是对24个海鲈样本进行的,这些样本分为四组:12个对照组(在冰箱中冰藏3或24小时),以及12个用类似卡福多斯溶液处理3或24小时的样本。然后使用显微拉曼光谱对肌肉和皮肤样本进行表征。数据经过平滑处理并取一阶导数进行预处理,然后建立偏最小二乘判别分析(PLS - DA)模型以识别对鱼的肌肉和皮肤的短期和长期影响。所有模型在拟合和交叉验证中都对样本进行了完美分类,并且还报告了对产生这些影响的谱带的分析。据作者所知,这是首次将拉曼光谱应用于识别类似卡福多斯的非法处理,重点是对鱼的肌肉和皮肤进行评估。该程序可能通过使用便携式设备为未来直接在市场上的应用铺平道路。