可见/近红外光谱分析技术鉴别转基因番茄叶

用可见/近红外光谱（Vis-NIR spectrum）漫反射方式对转基因番茄叶和非转基因番茄叶进行了快速、无损的定性分析。实验共对68个样品（转基因38个，非转基因30个）进行分类，用TQ 6.2.1光谱分析软件中集成的判别分析（Discriminant analysis）和偏最小二乘回归法（PLS）建立校正和预测模型。研究对比了不同光谱预处理方法（微分处理和多元散射校正（MSC））对分类结果的影响。实验结果发现用判别分析较最小二乘法判别结果较好，用InGaAs检测器获得的光谱经MSC后的分类结果最好，分类正确率为89.7％（转基因番茄叶86.8％，非转基因番茄叶93.3％）。结果表明VIS-NIR可以作为一种快速的无损检测方法鉴别转基因和非转基因番茄叶。

Application of Vis/NIR Diffuse Reflectance Spectroscopy to the Detection and Identification of Transgenic Tomato Leaf

The feasibility of Vis/NIR spectroscopy technique for rapid and non-invasive detection of transgenic tomato leaves from conventional ones was investigated by means of spectral diffuse reflectance mode.A total of 68 samples(38 transgenic ones and 30 non-transgenic ones) were used for classification.The calibration and validation results were analyzed via discriminant analysis(DA) and partial least squares(PLS) discriminant method using TQ 6.2.1 quantitative software.Models based on the different spectral pre-processing methods(multiplicative signal correction(MSC),first and second derivative) were compared.It was found that the classification accuracy using DA was higher than that using PLS and the best results were gained by using spectra after MSC with InGaAs detector and the classification accuracy was 89.7%(accuracy of 86.8% for transgenic samples and 93.3% for non-transgenic ones).The results show that Vis-NIR diffuse reflectance spectroscopy technique is a feasible and fast method for non-invasive detection of transgenic and non-transgenic tomato leaves.