Food Colour & Quality Laboratory, Department of Nutrition & Food Science, Universidad de Sevilla, Facultad de Farmacia, 41012 Sevilla, Spain.
Food Colour & Quality Laboratory, Department of Nutrition & Food Science, Universidad de Sevilla, Facultad de Farmacia, 41012 Sevilla, Spain.
Talanta. 2015 Jan;131:412-6. doi: 10.1016/j.talanta.2014.07.086. Epub 2014 Aug 6.
Three independent methodologies were investigated to achieve the differentiation of red grapes from different grape varieties (Garnacha, Graciano, Mazuelo and Tempranillo) collected from five vineyards located in the D.O.Ca. Rioja. Anthocyanin chromatographic analysis, color image analysis and near infrared hyperspectral imaging were carried out for the grapes. Then, a Stepwise Linear Discriminant Analysis (SLDA) was developed for each data set in order to discriminate grapes according to their grape variety. As a result, using anthocyanin profile, color image analysis and near infrared hyperspectral imaging respectively, 88%, 54% and 100% of the samples were correctly classified in the internal validation process and 86%, 52% and 86% were correctly classified in the leave-one-out cross-validation process.
本研究采用三种独立的方法对来自五个位于里奥哈法定产区（DOCa）葡萄园的不同葡萄品种（歌海娜、格拉西亚诺、马士罗和丹魄）的红葡萄进行了区分。对葡萄进行了花色苷色谱分析、颜色图像分析和近红外高光谱成像。然后，为每个数据集开发了逐步线性判别分析（SLDA），以便根据葡萄品种对葡萄进行判别。结果表明，分别使用花色苷图谱、颜色图像分析和近红外高光谱成像，内部验证过程中 88%、54%和 100%的样本被正确分类，留一法交叉验证过程中 86%、52%和 86%的样本被正确分类。
