基于仿生模式识别和近红外光谱的转基因小麦快速鉴别方法  

Fast Discrimination of Varieties of Transgene Wheat Based on Biomimetic Pattern Recognition and Near Infrared Spectra

作　　者：翟亚锋[1] 苏谦[2] 邬文锦[2] 何震天[3] 张宗英[3] 安家爽[1] 董槿[1] 邓新[1] 韩成贵[1] 于嘉林[1] 李大伟[1] 陈秀兰[3] 安冬[2] 

机构地区：[1]中国农业大学生物学院,北京100193 [2]中国农业大学信息与电气工程学院,北京100083 [3]江苏里下河地区农业科学研究所,江苏扬州225002

出　　处：《光谱学与光谱分析》2010年第4期924-928,共5页Spectroscopy and Spectral Analysis

基　　金：国家(863计划)重大项目(2006AA10A213);国家(863计划)转基因专项(2008zx08002-001)资助

摘　　要：提出了一种采用近红外光谱快速鉴别转基因小麦种子的方法，对不同品种的9个转基因小麦样品种子分别建立了鉴别模型。对9个小麦样品共225个样本，通过近红外光谱仪扫描获得从4000-12000cm^-1波段范围的光谱数据。为了消除噪声，对原始数据先进行了归一化预处理；然后使用主成分分析（PCA）方法得到能反映小麦种子97．28％光谱信息的前10个主成分，提高了数据处理效率；最后利用仿生模式识别（biomimetic pattern recognition，BPR）方法建立小麦品种的鉴别模型。对于每个样品中的25个样本，随机挑选15个样本作为训练样本，其余10个样本作为第一测试集，其他品种共200个样本作为第二测试集。在对第二测试集平均正确拒识率达到96．7％的情况下，对第一测试集中的样本取得了95．6％的平均正确识别率。实验结果表明，该方法具有较高的鉴别准确度，可以作为一种快速无损的转基因小麦种子鉴别方法。A new method for the fast discrimination of varieties of transgene wheat by means of near infrared spectroscopy and biomimetic pattern recognition （BPR） was proposed and the recognition models of seven varieties of transgene wheat and two varieties of acceptor wheat were built. The experiment adopted 225 samples, which were acquired from nine varieties of wheat. Firstly, a field spectroradiometer was used for collecting spectra in the wave number range from 4 000 to 12 000 cm^-1. Secondly, the original spectral data were pretreated in order to eliminate noise and improve the efficiency of models. Thirdly, principal component analysis （PCA） was used to compress spectral data into several variables, and the cumulate reliabilities of the first ten components were more than 97.28%. Finally, the recognition models were established based on BPR. For the every 25 samples in each variety, 15 samples were randomly： selected as the training set. The remaining 10 samples of the same variety were used as the first testing set, and all the 200 samples of the other varieties were used as the second testing set. As the 96. 7% samples in the second set were correctly rejected, the average correct recognition rate of first testing set was 94.3%. The experimental results demonstrated that the recognition models were effective and efficient. In short, it is feasible to discriminate varieties of transgene wheat based on near infrared spectroscopy and BPR.

关 键 词：近红外光谱 仿生模式识别 转基因小麦 品种鉴别 

分 类 号：O657.3[理学—分析化学]