Food nutritional labeling is compulsory in the European Union since 13 December 2016. The olive oil fatty acid composition shows high variation depending mainly on the variety. Thus, olive oil nutritional labeling is problematic for the industry. Besides, the analysis of all batches of olive oil using the official methods is expensive. Therefore, the olive oil industry is seriously concerned about solutions for nutritional labeling. In this study, a new rapid technique to measure the nutrients for the olive oil nutritional labeling, is assessed. A novel partial least squares (PLS) calibration model using log-ratio coordinates has been formulated and successfully tested for predicting the percentages of monounsaturated, saturated, and polyunsaturated fatty acids based on visible and near infrared spectroscopy. The model provided accuracy suitable for labeling, under the rules in force in the European Union. The error was generally much lower than the tolerance.

Industrial relevance

The approach here proposed can be a suitable solution for olive oil nutritional labeling, which is a current challenge for the olive oil industry.

中文翻译：

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使用Vis / NIR光谱和成分统计方法对橄榄油进行营养标记

自2016年12月13日起，欧盟必须对食品进行营养标签。橄榄油脂肪酸组成的变化主要取决于品种。因此，橄榄油的营养标签对工业是有问题的。此外，使用官方方法分析所有批次的橄榄油都非常昂贵。因此，橄榄油行业非常关注营养标签的解决方案。在这项研究中，评估了一种新的快速技术来测量橄榄油营养标签中的营养成分。已经建立了使用对数比坐标的新型偏最小二乘（PLS）校准模型，并通过可见和近红外光谱法成功地测试了该模型用于预测单不饱和，饱和和多不饱和脂肪酸的百分比。根据欧盟现行规定，该模型提供了适合贴标签的准确性。误差通常远低于公差。

行业相关性

这里提出的方法可能是橄榄油营养标签的合适解决方案，这是橄榄油行业当前面临的挑战。