National Measurement Laboratory, Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, United Kingdom.
National Measurement Laboratory, Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, United Kingdom.
Food Chem. 2024 Jan 30;432:137279. doi: 10.1016/j.foodchem.2023.137279. Epub 2023 Aug 26.
In this study, the difference between wild and farmed salmon production was successfully profiled and differentiated by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-ToF MS) combined with chemometric analysis. The established method based on multivariate analysis mainly involved principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) as the screening and verifying tools to provide insights into the distinctive features found in wild and farmed salmon products, respectively. The discrimination between farmed and wild salmon was accomplished with 100% classification accuracy using chemometric models, 100% identification accuracy was also achieved in distinguishing wild Salmo salar and Oncorhynchus nerka samples. The results of the present work suggest that the proposed method could serve as a reference for detecting salmon fraud relating to wild or farmed production and expand the application of MALDI-ToF technology further into food authenticity applications.
本研究通过基质辅助激光解吸电离飞行时间质谱（MALDI-ToF MS）结合化学计量学分析，成功地对野生和养殖三文鱼的生产差异进行了分析和区分。该方法主要基于多元分析，包括主成分分析（PCA）、偏最小二乘判别分析（PLS-DA）和正交偏最小二乘判别分析（OPLS-DA），分别作为筛选和验证工具，以深入了解野生和养殖三文鱼产品的特征。利用化学计量学模型，养殖和野生三文鱼的区分准确率达到 100%，野生大西洋三文鱼和虹鳟的识别准确率也达到 100%。本研究结果表明，该方法可作为检测与野生或养殖生产相关的三文鱼欺诈的参考，并进一步拓展 MALDI-ToF 技术在食品真实性应用中的应用。
