Discussion on the Industry Development Status of Blumea balsamifera Based on Patent Analysis / 中国药房

OBJECTIVE：To understand the current situation and existing problems of Blumea balsamifera industry in China ， and to provide reference for its sustainable development . METHODS ：With the keywords of “B. balsamifera ”“Ai Pian ”“Ai Fen ”， etc.，through the patent platform of SooPat and Baiten ，the patent data of B. balsamifera that had been published from Jan. 1989 to Dec. 2019 were collected. The International Patent Classification （IPC）was used to sort out and count the patent information of B. balsamifera，to understand the development status of B. balsamifera industry in technology and research field ，to analyze the existing problems and to explore the development trend of B. balsamifera industry in China so as to put forward corresponding suggestions. RESULTS & CONCLUSIONS：A total of 690 patents related to B. balsamifera were collected ，mainly invention patents，of which the authorization rate was 27.39％，the effective rate was 17.97％，and the failure rate was 55.22％. Top 10 applicants with the largest number of applications had a total of 165 applications，accounting for 23.91％ of the total number of applications. Top 10 applicants were 4 enterprises，3 natural persons and 3 colleges and universities. The patents of B. balsamifera were mainly distributed in Guizhou ，Shandong，Anhui，Guangdong，Guangxi and Hainan ，accounting for 81.01％ of the total patent applications of B. balsamifera . The patent technology field of B. balsamifera had expanded from traditional Chinese medicine to daily chemical products ，health care and physiotherapy and other daily consumer good fields. From the perspective of patent intensity，the number and quality of patent applications were not coordinated ，and there were many meaningless patent applications，and the conversion rate was low. It is suggested that China should strengthen the research on B. balsamifera and its more compatible medicinal materials ，promote the innovation ，development，transformation and upgrading of B. balsamifera industry；strengthen the systematic and in-depth research on B. balsamifera，improve the quality and conversion rate of patent xiexiaoli13@126.com technology，and revitalize the development of B. balsamifera industry； expand multi-party cooperation ， strengthen the E-mail：fulai.yu@163.com research on patent core technology ，build the strategic alliance of intellectual property rights of B. balsamifera industry，and realize the high quality development of B. balsamifera industry.

Study on effect of different processing methods on seven main chemical components of wild and cultivated Paeonia lactiflora / 中国中药杂志

<p><b>OBJECTIVE</b>To study on the effect of different processing methods on the contents of seven major constituents in wild and cultivated Paeonia lactiflora, gallic acid, catechin, albiflorin, paeoniflorin, pentagalloylglucose, benzoic acid and paeonol, in order to provide reference basis for different efficacy and formation mechanism of Paeonia Radix Rubra and Paeonia Radix Alba.</p><p><b>METHOD</b>Wild and cultivated P. lactiflora were dealt with by four processing methods, direct drying, drying after boiling, drying after decorticating and boiling, and drying after boiling and decorticating. HPLC was use to simultaneously determine the contents of seven chemical constituents.</p><p><b>RESULT</b>Wild P. lactiflora showed notable higher content of paeoniflorin and catechin than cultivated P. lactiflora, whereas cultivated P. lactiflora showed higher content of albiflorin than wild P. lactiflora. Both of them were less affected by process methods in above three constituents. Drying after boiling, drying after decorticating and boiling, and drying after boiling and decorticating methods reduced the content of benzoic acid and paeonol to trace in both wild and cultivated P. lactiflora. Clustering analysis results showed that all processing methods assembled wild and cultivated P. lactiflora in 2 groups.</p><p><b>CONCLUSION</b>The content differences of Paeonia Radix Rubra and Paeonia Radix Alba are mainly caused by their own differences and less affected by processing methods.</p>

Testing methods for seed quality of Glycyrrhiza uralensis / 中国中药杂志

<p><b>OBJECTIVE</b>The aim of this study was to optimize the testing methods for seed quality, and to provide a basis for establishing seed testing rules and quality grading standard of Glycyrrhiza uralensis.</p><p><b>METHOD</b>Referring to the International Seed Testing Rules made by ISTA and Rules for agricultural seed testing (GB/T 3543-1995) issued by China, the seed quality of G. uralensis from different collection areas was measured.</p><p><b>RESULT AND CONCLUSION</b>The seed testing methods for quality items of G. uralensis, including sampling, purity analysis, verification of genuineness, weight of 1 000 seeds, percentage germination, moisture content and seed viability of G. uralensis had been initially established.</p>

Genetic variability and interrelationships of mainly quantitative traits in Glycyrrhiza uralensis cultivated population / 中国中药杂志

<p><b>OBJECTIVE</b>The main aim of the research was to evaluate genetic variability and interrelationships of mainly quantitative traits in 2-year population, and provide a basis for high-yield breeding of Glycyrrhiza uralensis.</p><p><b>METHOD</b>Four genotype G. uralensis population were transplanting in four different environment using complete randomized block design with three replication, and the 10 quantitative traits, including plant height (PH), stem diameter (SD), tiller number (TN), taproot length (TRL), root length (RL), root diameter (RD), diameter of 20 cm below the root head (D20), taperingness (TR), lateral root number (LRN) and root fresh weight (RFW) were measured in field.</p><p><b>RESULT</b>The difference among population for all evaluated traits were significant (P<0.05) through Duncan's multiple range tests, and the coefficient of variation of RFW and LRN were above 25%. The analysis of variance was used to evaluate the traits of four populations across to four different environment Genotype, environment and their interaction effect were significant (P<0.05) or highly significant (P<0.01) for mainly evaluated traits. Simple correlation between traits showed that PH, SD, LRN, RL, RD and D20 had highly significant (P<0.01) and positive correlation with RFW. Results of the path coefficient analyses showed that D20 had the greatest positive direct effect on RFW, followed by the traits of PH and RL.</p><p><b>CONCLUSION</b>Selection for increased D20, RL and PH would be the best indirect selection traits for increasing root yield. Meanwhile, ample genetic variability exists in the G. uralensis 2-year population, it could be used for breeding improvement of root yield.</p>