首页> 外文会议>IFIP TC 12 conference on computer and computing technologies in agriculture;CCTA 2010 >Study on Rapid Identification Methods of Transgenic Rapeseed Oil Based on Near Infrared Spectroscopy
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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菜籽油快速鉴定方法研究

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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快速鉴定转基因菜籽油的方法。随着转基因食品越来越受到人们的关注,并且为了满足标记转基因食品的要求,迫切需要一种准确,快速,简便,高效,低成本的检测技术。在这项研究中,以117个菜籽油样品(包括64个非转基因菜籽油和53个转基因菜籽油样品)作为测试材料。应用主成分分析(PCA)和判别偏最小二乘(DPLS)对转基因和非转基因菜籽油进行分类。首先,研究了转基因和非转基因菜籽油近红外光谱的主成分评分图。结果是非转基因和转基因样品可以在主成分空间中广泛区分。其次,使用35个样本建立DPLS识别模型,并通过该模型识别其他82个样本作为预测集样本。获得的总体正确识别率为96.34%,其中非转基因菜籽油的正确识别率为95.56%,其中一种转基因菜籽油的正确识别率为97.30%。结果表明,利用近红外光谱技术鉴别转基因菜籽油的可行性是可行的,结合DPLS方法可以获得很好的分类效果。

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