SUMMARYSoybean is an important oil- and protein-producing crop and over the last few decades soybean genetic transformation has made rapid strides. The probability of occurrence of transgene flow should be assessed, although the discrimination of conventional and transgenic soybean seeds and their hybrid descendants is difficult in fields. The feasibility of non-destructive discrimination of conventional and glyphosate-resistant soybean seeds and their hybrid descendants was examined by a multispectral imaging system combined with chemometric methods. Principal component analysis (PCA), partial least squares discriminant analysis (PLSDA), least squares-support vector machines (LS-SVM) and back propagation neural network (BPNN) methods were applied to classify soybean seeds. The current results demonstrated that clear differences among conventional and glyphosate-resistant soybean seeds and their hybrid descendants could be easily visualized and an excellent classification (98% with BPNN model) could be achieved. It was concluded that multispectral imaging together with chemometric methods would be a promising technique to identify transgenic soybean seeds with high efficiency.

The high temperature superconducting material Bi-2212 is considered for use in the next generation of fusion reactors due to an excellent current carrying capacity in a high field. The critical current as well as its inhomogeneity are important factors in evaluating the performance of Bi-2212 wires, cables and conductors. Non-destructive evaluation by using a Hall sensor array is a more effective and faster method for testing the local critical current of a high temperature superconductor compared with a conventional contact-electrical method. In this paper, the coupling and decoupling numerical models of the perpendicular component of the residual magnetic field in Bi-2212 round wire were solved. Then, the perpendicular component of the remnant magnetic field was measured by a Hall sensor array, which was consistent with the results of the coupling model. Our results established the numerical model for a Bi-2212 first stage cable and found that the non-destructive method using four mutual vertical Hall sensor arrays is feasible for evaluation of cable critical current properties.