Haymondia wallichii DC. was a scandent shrub. In this study, we sequenced the complete chloroplast (cp) genome of H. wallichii to investigate its phylogenetic relationship in Fabaceae. The total length of the cp genome was 153,668 bp, consisted of a large single copy (LSC) region of 84,310 bp, a small single copy (SSC) region of 17,918 bp, and a pair of inverted repeat regions (IRs) of 25,720 bp. The genome contained 132 genes, namely 37 tRNA genes, 87 protein-coding genes, and 8 rRNA genes. The overall GC content was 35.4%. The phylogenetic analysis indicated H. wallichii was closely related to Pueraria montana var. thomsonii and Pueraria montana var. lobata.

Background The root of Pueraria montana var. lobata (Gegen) was a well-known traditional Chinese medical herb, which was prone to be accidentally contaminated with Pueraria montana var. thomsonii, Pueraria wallichii, and Pueraria peduncularis due to the morphological character similarity. These adulterations might cause quality confusion and safety issues. Objective In this study, the screening technique to detect adulteration in Gegen was developed using multiple fingerprints and chemometrics. Method A range of Gegen samples and possible known adulterants including Pueraria montana var. thomsonii, Pueraria wallichii, and Pueraria peduncularis were collected. FT-IR and HPLC coupled with different chemometric techniques, including similarity analysis (SA), hierarchical clustering analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA), provide the qualitative chemometric models for Gegen adulteration detection. Results FT-IR and HPLC combined with OPLS-DA successfully differentiated authentic Gegen from adulterants. Both FT-IR and HPLC units can be used as alternative methods to traditional methods. The HPLC showed better performance in identifying samples than FT-IR. Conclusions The use of FT-IR and HPLC coupled with chemometrics could potentially be the proper selection method for the early quality evaluation of Gegen. This method can be used to combat fraud in the herbal industry in the future. Highlights FT-IR and HPLC combined with chemometrics analysis were developed to discriminate between Pueraria lobata (Gegen) and adulterants. The multiple fingerprints combined with multivariate methods were successfully applied to the study of the Gegen and its adulterants. The chemometrics analysis using SA and OPLS-DA indicate significant differentiation in the chemical composition of these species. This research provides important chemotaxonomic references in species identification.

Abstract:In this paper, study the Logistics research status at home and abroad, analyze the importance of logistics transport to economic and business, as well as the three main problems in the logistics transport of agricultural products in China. On the basis of front, evaluation index of network transport is determined, as well as the optimization problem of transportation. Finally experimental results are presented, and the experimental results are analyzed. Experimental results show that the neural network can solve the transport problem, and it is very efficient.

The increasingly intensive innovative activities enable a more straightforward tracing of knowledge spillover, by looking at the spatial agglomeration of innovative activities.Existing research looked at spatial patterns of innovative activities, but few examine the spatial evolution of the inno-

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