Wielogorska Ewa, Chevallier Olivier, Black Connor, Galvin-King Pamela, Delêtre Marc, Kelleher Colin T, Haughey Simon A, Elliott Christopher T
Institute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom.
DBN Plant Molecular Laboratory, National Botanic Gardens of Ireland, Glasnevin, Dublin 9, Ireland.
Food Chem. 2018 Jan 15;239:32-39. doi: 10.1016/j.foodchem.2017.06.083. Epub 2017 Jun 15.
Due to increasing number of food fraud incidents, there is an inherent need for the development and implementation of analytical platforms enabling detection and quantitation of adulteration. In this study a set of unique biomarkers of commonly found oregano adulterants became the targets in the development of a LC-MS/MS method which underwent a rigorous in-house validation. The method presented very high selectivity and specificity, excellent linearity (R>0.988) low decision limits and detection capabilities (<2%), acceptable accuracy (intra-assay 92-113%, inter-assay 69-138%) and precision (CV<20%). The method was compared with an established FTIR screening assay and revealed a good correlation of quali- and quantitative results (R>0.81). An assessment of 54 suspected adulterated oregano samples revealed that almost 90% of them contained at least one bulking agent, with a median level of adulteration of 50%. Such innovative methodologies need to be established as routine testing procedures to detect and ultimately deter food fraud.
由于食品欺诈事件日益增多，开发和实施能够检测和定量掺假的分析平台具有内在需求。在本研究中，一组常见牛至掺假物的独特生物标志物成为开发液相色谱-串联质谱（LC-MS/MS）方法的目标，该方法经过了严格的内部验证。该方法具有很高的选择性和特异性、出色的线性（R>0.988）、低决策限和检测能力（<2%）、可接受的准确度（批内92-113%，批间69-138%）和精密度（CV<20%）。该方法与已建立的傅里叶变换红外光谱（FTIR）筛选分析方法进行了比较，结果表明定性和定量结果具有良好的相关性（R>0.81）。对54个疑似掺假牛至样品的评估显示，其中近90%至少含有一种填充剂，掺假中位数水平为50%。需要将此类创新方法确立为常规检测程序，以检测并最终遏制食品欺诈行为。
