首页> 外文期刊>Journal of Agricultural and Food Chemistry >Chemometric Discrimination of the Varietal Origin of Extra Virgin Olive Oils: Usefulness of C-13 Distortionless Enhancement by Polarization Transfer Pulse Sequence and H-1 Nuclear Magnetic Resonance Data and Effectiveness of Fusion with Mid-Infrared Spectroscopy Data
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Chemometric Discrimination of the Varietal Origin of Extra Virgin Olive Oils: Usefulness of C-13 Distortionless Enhancement by Polarization Transfer Pulse Sequence and H-1 Nuclear Magnetic Resonance Data and Effectiveness of Fusion with Mid-Infrared Spectroscopy Data

机译:多初榨橄榄油的变形辨别:通过偏振传递脉冲序列和H-1核磁共振数据和中红外光谱数据融合的有效性的C-13无畸形增强的有用性

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摘要

The label authentication of monovarietal extra virgin olives is of great relevance from a socio-economical point of view. This work aims to gain insights into the prediction of the varietal origin of extra virgin olive oil (EVOO) samples obtained from single olive cultivars, French cultivars Oliviere, Salonenque, and Tanche and Portuguese cultivars Blanqueta, Carrasquenha, and Galega Vulgar, collected in 2016-2017 and 2017-2018 harvest seasons. To pursue this study, spectroscopic approaches based on one-dimensional nuclear magnetic resonance (1D NMR) spectroscopy, namely, H-1 and C-13 NMR distortionless enhancement by polarization transfer (DEPT) 45 pulse sequence, and Fourier transform mid-infrared spectroscopy (FT-MIR) are used in combination with partial least square discriminant analysis (PLS1-DA). The results obtained by PLS1-DA models using H-1 and C-13 NMR DEPT 45 data are compared to those of PLS1-DA models using MIR data. The application of a control chart method allows for the optimization of the interpretation of the PLS1-DA results, and an efficient two-step strategy is proposed to improve the discrimination of the six studied cultivars. Then, NMR and MIR data are combined by either a mid- or high-level data fusion approach to further improve the discrimination. The models are also tested on samples from other cultivars to check their ability to reject varieties that were not considered in the calibration process.
机译:从社会经济角度来看,单品种特级初榨橄榄的标签认证具有很大的相关性。这项工作旨在深入了解从2016-2017年和2017-2018年收获季节采集的单一橄榄品种、法国品种Oliviere、Salonenque、Tanche和葡萄牙品种Blanqueta、Carrasquenha和Galega Vulgar中获得的特级初榨橄榄油(EVOO)样品的品种来源预测。为了进行这项研究,基于一维核磁共振(1D NMR)光谱的光谱方法,即H-1和C-13 NMR无失真增强极化转移(DEPT)45脉冲序列,以及傅里叶变换中红外光谱(FT-MIR)与偏最小二乘鉴别分析(PLS1-DA)相结合。将使用H-1和C-13 NMR数据的PLS1-DA模型所得结果与使用MIR数据的PLS1-DA模型所得结果进行了比较。应用控制图方法可以优化PLS1-DA结果的解释,并提出了一种有效的两步策略,以改善对六个研究品种的鉴别。然后,NMR和MIR数据通过中级或高级数据融合方法进行组合,以进一步提高分辨力。该模型还对来自其他品种的样本进行了测试,以检查它们拒绝校准过程中未考虑的品种的能力。

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