Detection of transgenic tomato leaf with LeETR1 antisense gene by near-infrared spectroscopy.

摘要

The increasingly widespread use of Fourier transform near-infrared spectroscopy (FT-NIR) and its reasonable costs indicate that it could be a suitable technique for on-line process monitoring and quality control. In this study, 208 tomato leaves (106 transgenic leaves produced by introducing the antisense ethylene receptor gene LeERT1, and 102 of their conventional parents) were used for diffuse reflectance measurement. Discriminant analysis (DA) based on principal component analysis (PCA) in the region of 900-2500 nm was used to discriminate the samples. The results show that the DA method led to a good classification. The percentage of correctly classified transgenic and non-transgenic samples during the calibration process was 98.7 and 100%, respectively. For the validation process, 96% of the non-transgenic samples were correctly classified and no transgenic sample was misclassified, as there was 100% correctness. This indicates that NIR spectroscopy combined with chemometrics techniques could be used as a rapid and reliable method to differentiate transgenic tomato leaves from non-transgenic leaves. This method avoids time-consuming, costly, and laborious chemical and sensory analyses.