Chemistry Department, Istituto Zooprofilattico Sperimentale della Puglia e della Basilicata, Via Manfredonia 20, 71121 Foggia, Italy.
Department of Pharmacy, University of Genoa, Viale Cembrano 4, 16148 Genoa, Italy.
Food Chem. 2022 Dec 15;397:133842. doi: 10.1016/j.foodchem.2022.133842. Epub 2022 Aug 1.
The European Food Safety Authority asked for novel approaches for identifying mechanically separated meat (MSM) in meat products, due to food safety concern. In this study, a novel approach based on multivariate analysis of 43 trace elements in meat products is described. Overall, 27 trace elements and 16 rare earth elements were determined by using ICP-MS after sample mineralization of 100 meat samples, composed of different percentages of MSM, obtained at low and high pressure, and without MSM. After development and optimization, the multivariate approach was validated by analyzing and then classifying 10 "blind" meat samples, obtaining method accuracy equal to 90%. Thus, the applicability of this new analytical approach was demonstrated. The method represents a significant improvement for this type of determination, especially when MSM is obtained at low pressure, since this product is characterized by chemical characteristics very similar to fresh meat.
由于食品安全问题，欧洲食品安全局（European Food Safety Authority）要求寻找新方法来识别肉类制品中的机械分离肉（mechanically separated meat，MSM）。在本研究中，描述了一种基于多元分析 43 种痕量元素的新方法。总体而言，通过对 100 个肉样进行 1000 个样本的矿物化处理，使用 ICP-MS 测定了 27 种痕量元素和 16 种稀土元素，这些肉样由不同比例的 MSM、高低压获得的以及不含 MSM 的肉样组成。经过开发和优化，该多元方法通过分析和分类 10 个“盲样”进行了验证，方法准确率达到 90%。因此，证明了这种新分析方法的适用性。该方法是对此类检测的重大改进，尤其是在以低压获得 MSM 时，因为该产品的化学特性与新鲜肉非常相似。
