Guitton Yann, Dervilly-Pinel Gaud, Jandova Renata, Stead Sara, Takats Zoltan, Le Bizec Bruno
a LUNAM Université, Oniris, Laboratoire d'Étude des Résidus et Contaminants dans les Aliments (LABERCA) , Nantes , France.
b UMR INRA 1329 , Waters Corporation , Wilmslow , UK.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2018 May;35(5):900-910. doi: 10.1080/19440049.2017.1421778. Epub 2018 Jan 17.
In a proof of concept perspective, Rapid Evaporative Ionisation Mass Spectrometry (REIMS) was explored for the direct analysis of meat samples from β-agonist treated livestock. In this context, the combination of REIMS with untargeted metabolomics was investigated to identify carcasses from treated animals on the basis of a modification of indirect metabolites profile. The REIMS analysis generated specific lipid profiles which enabled the differentiation of meat samples collected from pigs treated with ractopamine via their feeding regime. Furthermore, the strategy was found successful when tested on different muscle types (loin, shoulder and thigh), which further expands its applicability. Classification performances were greater than 95% accurate which fully answers requirements of a screening strategy. This research indicates that REIMS implemented in an untargeted-metabolomics workflow can be considered as a high-throughput and accurate strategy for real-time meat classification in relation to ractopamine (and wider β-agonists) treatment in pig production. This approach may subsequently be implemented as a rapid screening test, at the slaughterhouse or at border inspection points, to detect such practice.
从概念验证的角度出发,研究了快速蒸发电离质谱法(REIMS)用于直接分析来自用β-激动剂处理过的牲畜的肉类样品。在此背景下,研究了REIMS与非靶向代谢组学的结合,以基于间接代谢物谱的改变来识别来自处理过的动物的胴体。REIMS分析产生了特定的脂质谱,能够通过饲养方式区分从用莱克多巴胺处理过的猪采集的肉类样品。此外,当在不同肌肉类型(里脊肉、肩部和大腿)上进行测试时,该策略被证明是成功的,这进一步扩大了其适用性。分类性能的准确率超过95%,完全满足筛选策略的要求。这项研究表明,在非靶向代谢组学工作流程中实施的REIMS可被视为一种高通量且准确的策略,用于猪生产中与莱克多巴胺(以及更广泛的β-激动剂)处理相关的肉类实时分类。这种方法随后可在屠宰场或边境检查站作为快速筛选测试实施,以检测此类情况。