Pirro Valentina, Girolami Flavia, Spalenza Veronica, Gardini Giulia, Badino Paola, Nebbia Carlo
a Department of Chemistry , University of Turin , Turin , Italy.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2015;32(5):702-11. doi: 10.1080/19440049.2015.1011713. Epub 2015 Mar 2.
A chemometric class modelling strategy (unequal dispersed classes - UNEQ) was applied for the first time as a possible screening method to monitor the abuse of growth promoters in veal calves. Five serum biomarkers, known to reflect the exposure to classes of compounds illegally used as growth promoters, were determined from 50 untreated animals in order to design a model of controls, representing veal calves reared under good, safe and highly standardised breeding conditions. The class modelling was applied to 421 commercially bred veal calves to separate them into 'compliant' and 'non-compliant' with respect to the modelled controls. Part of the non-compliant animals underwent further histological and chemical examinations to confirm the presence of either alterations in target tissues or traces of illegal substances commonly administered for growth-promoting purposes. Overall, the congruence between the histological or chemical methods and the UNEQ non-compliant outcomes was approximately 58%, likely underestimated due to the blindness nature of this examination. Further research is needed to confirm the validity of the UNEQ model in terms of sensitivity in recognising untreated animals as compliant to the controls, and specificity in revealing deviations from ideal breeding conditions, for example due to the abuse of growth promoters.
一种化学计量学分类建模策略(不等分散类 - UNEQ)首次作为一种可能的筛选方法应用于监测犊牛生长促进剂的滥用情况。从50只未处理的动物身上测定了五种血清生物标志物,这些标志物已知可反映非法用作生长促进剂的化合物类别暴露情况,以便设计一个对照模型,代表在良好、安全且高度标准化饲养条件下饲养的犊牛。将分类建模应用于421头商业养殖的犊牛,以根据建模对照将它们分为“合规”和“不合规”两类。部分不合规动物接受了进一步的组织学和化学检查,以确认目标组织中是否存在改变或是否有通常用于促进生长目的的非法物质痕迹。总体而言,组织学或化学方法与UNEQ不合规结果之间的一致性约为58%,由于该检查的盲目性,这一比例可能被低估。需要进一步研究以确认UNEQ模型在识别未处理动物符合对照方面的敏感性以及揭示与理想饲养条件偏差(例如由于生长促进剂滥用)方面的特异性方面的有效性。