Castejón David, Fricke Pascal, Cambero María Isabel, Herrera Antonio
Centro de Asistencia a la Investigación de Resonancia Magnética Nuclear y de Resonancia de Spin Electrónico (CAI de RMN y RSE), Universidad Complutense de Madrid, 28040 Madrid, Spain.
Department of Molecular Biophysics, Leibniz-Institut für Molekulare Pharmakologie, 13125 Berlin, Germany.
Nutrients. 2016 Feb 16;8(2):93. doi: 10.3390/nu8020093.
In this work, we introduce an NMR-based screening method for the fatty acid composition analysis of edible oils. We describe the evaluation and optimization needed for the automated analysis of vegetable oils by low-field NMR to obtain the fatty acid composition (FAC). To achieve this, two scripts, which automatically analyze and interpret the spectral data, were developed. The objective of this work was to drive forward the automated analysis of the FAC by NMR. Due to the fact that this protocol can be carried out at low field and that the complete process from sample preparation to printing the report only takes about 3 min, this approach is promising to become a fundamental technique for high-throughput screening. To demonstrate the applicability of this method, the fatty acid composition of extra virgin olive oils from various Spanish olive varieties (arbequina, cornicabra, hojiblanca, manzanilla, and picual) was determined by ¹H-NMR spectroscopy according to this protocol.
在本研究中，我们介绍了一种基于核磁共振（NMR）的食用油脂肪酸组成分析筛选方法。我们描述了通过低场NMR对植物油进行自动分析以获得脂肪酸组成（FAC）所需的评估和优化过程。为此，开发了两个用于自动分析和解释光谱数据的脚本。本研究的目的是推动通过NMR对FAC进行自动分析。由于该方案可在低场进行，且从样品制备到打印报告的整个过程仅需约3分钟，因此该方法有望成为高通量筛选的一项基础技术。为证明该方法的适用性，根据此方案通过¹H-NMR光谱法测定了来自西班牙不同橄榄品种（阿贝奎纳、科尔尼卡布拉、霍吉布兰卡、曼萨尼拉和皮夸尔）的特级初榨橄榄油的脂肪酸组成。
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