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Study on Rapid Identification Methods of Transgenic Rapeseed Oil Based on Near Infrared Spectroscopy

机译:基于近红外光谱的转基因油菜籽油的快速鉴定方法研究

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A rapid identification method of transgenic rapeseed oil based on near infrared spectroscopy was proposed. As transgenic food attracted more and more attention and in order to meet the requirement about labeling transgenic food, an accurate, fast, easy, efficient and low cost detection technology is needed. In this study, 117 rapeseed oil samples (including 64 non-transgenic rapeseed oil and 53 transgenic rapeseed oil samples) were used as test material. Principal component analysis (PCA) and discriminant partial least squares (DPLS) were applied to classify transgenic and non-transgenic rapeseed oil. Firstly, the paper studied the plot of principal component scores for the NIR spectra of transgenic and non-transgenic rapeseed oil. The result was that Non-transgenic and transgenic samples can be broadly distinguished in principal component space. Secondly, 35 samples were used to build DPLS identification model, and the other 82 samples as prediction set samples were identified by the model. The overall correct identification rate acquired was 96.34%, in which the correct identification rate of non-transgenic rapeseed oil was 95.56% and the one of transgenic rapeseed oil was 97.30%. The results showed that the attempt to discriminate transgenic rapeseed oil using NIR is feasible and excellent classification can be obtained by combining DPLS method.
机译:提出了一种基于近红外光谱的转基因油菜籽油的快速鉴定方法。由于转基因食品吸引了越来越多的关注,并且为了满足标记转基因食品的要求,需要准确,快速,简单,高效,低成本的检测技术。在本研究中,将117种油菜籽油样品(包括64种非转基因菜籽油和53转基因菜籽油样品)用作试验材料。应用主成分分析(PCA)和判别部分最小二乘(DPLS)分类转基因和非转基因菜籽油。首先,本文研究了转基因和非转基因油菜籽油的NIR光谱的主成分分数的曲线图。结果是,非转基因和转基因样品可以广泛地区分主成分空间。其次,使用35个样品来构建DPLS识别模型,并且通过模型识别其他82个样本作为预测集样品。获得的总体正确鉴定率为96.34%,其中非转基因油菜籽油的正确鉴定率为95.56%,转基因菜籽油之一为97.30%。结果表明,通过组合DPLS方法可以尝试辨别转基因油菜籽油是可行的,并且可以通过组合DPLS方法来获得优异的分类。

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