Bai Yang, Wang Xin, Ha Liya, Ao Qier, Dong Xin, Guo Jun, Zhao Yan
College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, PR China.
Institute of Quality and Standardization, Inner Mongolia Autonomous Region Market Supervision Administration, Hohhot 010018, PR China.
Food Chem. 2025 Feb 15;465(Pt 1):141911. doi: 10.1016/j.foodchem.2024.141911. Epub 2024 Nov 4.
In recent years, the origin and safety of counterfeit meat products have raised significant concerns among consumers. Therefore, there was an urgent need to develop a new method using fingerprinting techniques for meat product traceability. This study aimed to evaluate the traceability and authenticity of beef from Inner Mongolia by measuring the δC and δN values, as well as 13 mineral elements. In the complex environment of feeding regimes and agricultural types, δN, δC, and Se were selected as characteristic variables to differentiate feeding regimes, while Fe, K, Tl, Sr, Mn, and δC were chosen as characteristic variables for tracing the origin of the beef. Linear discriminant analysis achieved an accuracy rate of up to 100 %. This research confirmed the effectiveness of combining stable isotopes with mineral elements in accurately determining the origin of Inner Mongolian beef and verifying the authenticity of typical feed, providing a valuable strategy for traceability.
近年来,假冒肉类产品的来源和安全性引起了消费者的极大关注。因此,迫切需要开发一种利用指纹技术进行肉类产品可追溯性的新方法。本研究旨在通过测量δC和δN值以及13种矿物元素来评估内蒙古牛肉的可追溯性和真实性。在复杂的饲养方式和农业类型环境中,选择δN、δC和Se作为区分饲养方式的特征变量,而选择Fe、K、Tl、Sr、Mn和δC作为追溯牛肉来源的特征变量。线性判别分析的准确率高达100%。本研究证实了将稳定同位素与矿物元素相结合在准确确定内蒙古牛肉来源和验证典型饲料真实性方面的有效性,为可追溯性提供了有价值的策略。