Dipartimento di Scienze degli Alimenti, Università degli Studi di Parma, Via del Taglio 10, 43126 Parma, Italy.
Dipartimento di Scienze degli Alimenti, Università degli Studi di Parma, Via del Taglio 10, 43126 Parma, Italy.
Meat Sci. 2015 May;103:83-9. doi: 10.1016/j.meatsci.2015.01.005. Epub 2015 Jan 15.
This work describes a metabolic profiling study of non-irradiated and irradiated beef (at 2.5, 4.5 and 8 kGy) using (1)H NMR and chemometrics. The assignment of all major NMR signals of the aqueous/methanolic extracts was performed. A comprehensive multivariate data analysis proved the ability to distinguish between the irradiated and non-irradiated beef. Classification trees revealed that three metabolites (glycerol, lactic acid esters and tyramine or a p-substituted phenolic compound) are important biomarkers for classification of the irradiated and non-irradiated beef samples. Overall, the achieved metabolomic results show that the changes in the metabolic profile of meat provide a valuable insight to be used in detecting irradiated beef. The use of the NMR-based approach simplifies sample preparation and decrease the time required for analysis, compared to available official analytical procedures.
本工作采用(1)H NMR 和化学计量学方法描述了非辐照和辐照牛肉(2.5、4.5 和 8 kGy)的代谢组学研究。对水/甲醇提取物中所有主要 NMR 信号的归属进行了分析。全面的多元数据分析证明了能够区分辐照和非辐照牛肉的能力。分类树表明,三种代谢物(甘油、乳酸酯和酪胺或 p-取代酚类化合物)是分类辐照和非辐照牛肉样品的重要生物标志物。总的来说,所获得的代谢组学结果表明,肉的代谢谱的变化为检测辐照牛肉提供了有价值的见解。与现有的官方分析程序相比,基于 NMR 的方法可简化样品制备并减少分析所需的时间。