Nogales-Bueno Julio, Baca-Bocanegra Berta, Hernández-Hierro José Miguel, Garcia Raquel, Barroso João Mota, Heredia Francisco José, Rato Ana Elisa
MED - Mediterranean Institute for Agriculture, Environment and Development & Departamento de Fitotecnia, Escola de Ciências e Tecnologia, Universidade de Évora, Pólo da Mitra, Évora, Portugal.
Food Colour and Quality Laboratory, Facultad de Farmacia, Universidad de Sevilla, Sevilla, Spain.
Front Plant Sci. 2021 Sep 9;12:729880. doi: 10.3389/fpls.2021.729880. eCollection 2021.
"Persian" walnut ( L.) is one of the most consumed tree nuts in the world. It is rich in several bioactive compounds, with polyunsaturated and monounsaturated fatty acids (PUFA and MUFA) appearing at high concentrations. Walnut consumption protects against cardiovascular, carcinogenic, and neurological disorders. The fatty acid profile has usually been determined by gas chromatography, a reliable and robust tool, but also complex, polluting, and time consuming. In this study, near infrared hyperspectral imaging has been used for the screening of total fat, MUFA, PUFA, saturated, and individual fatty acids in walnuts. Five different walnuts varieties have been considered and modified partial least square (MPLS) regressions have been performed. The SEs of prediction (SEP) in external validation (ranged from 2.12% for PUFA to 13.08% for MUFA) suggest that hyperspectral imaging can be a reliable tool for controlling these parameters in a simple, non-destructive and environmentally friendly way.
波斯核桃（Juglans regia L.）是世界上消费最多的坚果之一。它富含多种生物活性化合物，其中多不饱和脂肪酸和单不饱和脂肪酸（PUFA和MUFA）含量很高。食用核桃可预防心血管疾病、癌症和神经紊乱。脂肪酸谱通常通过气相色谱法测定，这是一种可靠且强大的工具，但也复杂、污染环境且耗时。在本研究中，近红外高光谱成像已用于筛选核桃中的总脂肪、MUFA、PUFA、饱和脂肪酸和单个脂肪酸。研究考虑了五个不同的核桃品种，并进行了修正偏最小二乘（MPLS）回归。外部验证中的预测标准误（SEP）（从PUFA的2.12%到MUFA的13.08%）表明，高光谱成像可以成为一种以简单、无损和环保的方式控制这些参数的可靠工具。
