Nuclear magnetic resonance (NMR) spectroscopy, in combination with different chemometric methods, was widely used for metabolomic profiling in the geographical determination of food origin. In the present study, spectra data of cherry tomatoes, collected from Pachino (Sicily) and Sabaudia (Latium), were analyzed by principal component analysis (PCA), k nearest neighbors (kNN), and partial least‐squares discriminant analysis (PLS‐DA) in order to discriminate the samples according to their geographical provenance.

中文翻译：

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应用 1 H NMR 光谱结合多变量分析来研究意大利樱桃番茄的代谢特征

核磁共振 (NMR) 光谱结合不同的化学计量学方法，被广泛用于食品来源地理测定中的代谢组学分析。在本研究中，通过主成分分析 (PCA)、k 最近邻 (kNN) 和偏最小二乘判别分析 (PLS- DA)，以便根据其地理来源区分样本。