Abstract:The scent fingerprint of Rosa laevigata Michx., Rosaceae, samples harvested at different periods was investigated. Principal component analysis (PCA) and discriminant factor analysis (DFA) were done on the scent response values measured by an electronic nose (EN) sensor. Statistical quality control (SQC) analysis was also conducted. The R. laevigata samples were clustered into two categories after being analyzed by PCA and DFA. One cluster consisted of samples No. 1 to No. 6, and the other consisted of samples No. 7 to No. 10. The combination of EN, PCA, and DFA for scent analysis can be used for the quality control of traditional Chinese medicines.

As the number of the urban population attains a continuous increasing these years, the carrying load of all kinds of transportation lines in society changes into heavier as well. For the purpose of fulfilling the services demands of the rail transportation, the elevated station has turned into a new type of transportation structure, and exercises a critical role in the reduction of the social transportation pressure. The elevated station is a body integrated by both the rail transportation and the elevated bridge, and is much stronger than the traditional structural model in the aspects of the carrying load and structure performance. In accordance with this point, the author emphatically analyzes the structural dynamics of the elevated station in rail transportation in this paper, with the purpose of bringing the using performance of the elevated station into better play.