Abstract The most common frauds of tuna cans supply chain concern the substitution or mixing of valuable tuna species with cheaper ones, which is strictly prohibited by the European regulation. The aim of this work was to investigate the ability of mid-infrared (MIR) spectroscopy as a rapid and non-destructive tool to identify canned bigeye, yellowfin and skipjack tunas and detect their presence in a binary mixture of canned tunas. The MIR spectra were acquired on 232 canned tunas produced at the pilot scale. The factorial discriminant analysis (FDA) was applied to the first 5 principal components (PCs) of the principal component analysis (PCA) of the three spectral regions: 3000–2800 cm−1, 1700–1500 cm−1 and 1500–900 cm−1. A robust model was created with correct classification amounting to 90.38% that was tested on 30 commercial canned tuna. A total (100%) of correct classification was obtained for skipjack tuna, while misclassification was observed for cans labelled as bigeye and yellowfin suggesting an adulteration action or mislabelling during process technology.

中文翻译：

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中红外光谱结合化学计量学工具用于向日葵培养基罐装金枪鱼的定性分析

摘要 金枪鱼罐头供应链中最常见的欺诈行为涉及将有价值的金枪鱼品种与更便宜的品种进行替代或混合，这是欧洲法规严格禁止的。这项工作的目的是研究中红外 (MIR) 光谱作为一种快速且无损的工具来识别大眼金枪鱼、黄鳍金枪鱼和鲣鱼罐头的能力，并检测它们在罐头金枪鱼的二元混合物中的存在。MIR 光谱是在中试规模生产的 232 条罐装金枪鱼上获得的。因子判别分析 (FDA) 应用于三个光谱区域的主成分分析 (PCA) 的前 5 个主成分 (PC)：3000-2800 cm-1、1700-1500 cm-1 和 1500-900 cm -1。创建了一个稳健的模型，正确分类达 90.38%，并在 30 条商业罐装金枪鱼上进行了测试。