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首页> 外文期刊>International journal of food properties >Prediction of Polyphenol Fraction in Virgin Olive Oil Using Mid-Infrared Attenuated Total Reflectance Attenuated Total Reflectance Accessory–Mid-Infrared Coupled With Partial Least Squares Regression
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Prediction of Polyphenol Fraction in Virgin Olive Oil Using Mid-Infrared Attenuated Total Reflectance Attenuated Total Reflectance Accessory–Mid-Infrared Coupled With Partial Least Squares Regression

机译:使用中红外衰减全反射,附件全反射-中红外结合偏最小二乘回归预测纯橄榄油中的多酚含量

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This study focuses on the quantification of virgin olive oil phenolic compound while using mid-infrared spectroscopy with chemometrics. For that, 100 samples of virgin olive oils in phenolic compounds which varied between 1.04 and 10.33 g/L were picked up in Morocco’s regions and subjected to infrared analysis. The aim was to develop a calibration model for the prediction of phenolic compounds in olive oil by using Fourier transform-infrared spectroscopy. The spectral transmissions of all samples were obtained in the spectral range of 600–4000 cm~(–1). The values obtained for correlation coefficient and root mean square errors of prediction were 0.99 and 0.11, respectively. These results showed the capability of the Fourier transform-infrared spectroscopy and the chemometric in developing accurate models to predict the phenolic compounds in virgin olive oil.
机译:这项研究的重点是使用中红外光谱和化学计量学对初榨橄榄油中的酚类化合物进行定量分析。为此,在摩洛哥地区采集了100种酚类化合物中的初榨橄榄油样品,样品浓度在1.04至10.33 g / L之间,并进行了红外分析。目的是建立傅立叶变换红外光谱法预测橄榄油中酚类化合物的校准模型。在600–4000 cm〜(–1)的光谱范围内获得所有样品的光谱透射率。获得的相关系数和预测的均方根误差分别为0.99和0.11。这些结果显示了傅里叶变换红外光谱法和化学计量学在开发准确模型中的能力,以预测原始橄榄油中的酚类化合物。

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