Analysis of Patent Application Status of Scutellaria Barbata Industrial Chain Based on Patent Data

Abstract

Objective To analyze patent application status of Scutellaria Barbata industrial chain and provide some suggestions for its patent application and product development. Methods Patent data were collected through IncoPat patent analysis system. Meanwhile, the patent analysis method combined with text mining method was adopted to analyze the situation and development trend of patent application in China’s Scutellaria Barbata industrial chain by using pie chart, bubble chart, trend chart and other visual charts to display the results. Results and Conclusion The patent application of Scutellaria Barbata in China mainly experienced three stages: Slow development, rapid development, and recession period. The number of patents is large, but the authorization rate is low. Individuals and enterprises are the main applicants for patent applications. Product development is involved in the whole industrial chain, but it basically focuses on its efficacy in downstream drugs, health food and other aspects. Therefore, government should enhance the awareness of patent protection, encourage collaborative innovation in industry-university-research to promote the combination of basic research and market application. Besides, it should provide theoretical support to tackle the problem of short board products, which can promote the transformation of scientific and technological achievements and contribute to the upgrading of Scutellaria Barbata industrial chain.

Keywords

Scutellaria Barbata / patent / industrial chain

References

[1] National Pharmacopoeia Commission. Pharmacopoeia of the People’s Republic of China (Part 1)[M]. Beijing: China Medical Science and Technology Press, 2015: 70-73.

[2] Wu Xiaolong, Cui Siyuan, Wang Yan, et al. Research progress on anti-tumor mechanism of active ingredients of Chinese herbal medicine Scutellaria Barbata[J]. China Journal of Traditional Chinese Medicine and Pharmacy, 2018, 33 (4): 1459-1462.

[3] Zhao Yajuan, Dong Yu, Zhu Xiangli. Patent analysis and its application in information research[J]. Library and Information Service, 2006 (5): 19-22.

[4] Cui Yiwen, Bao Ningjiang. Patent analysis of Shenyang Pharmaceutical University based on IncoPat patent database[J]. Science and Technology & Innovation, 2020 (18): 77-79.

[5] Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation[J]. Journal of Machine Learning Research, 2003, 3 (1): 993-1022.

[6] Xing Sujun. Analysis of the concept of ineffective patent[J]. Science and Technology Management Research, 2013, 33 (3): 156-160.

[7] Yan Yuhang, Zhou Lanyu, Zhou Yongfeng, et al. Analysis on patent pattern of Angelicae Dahuricae radix based on IncoPat patent database[J]. Chinese Traditional and Herbal Drugs, 2021, 52 (24): 7728-7738.

[8] Fang Yue, Feng Zhipei, Tang Mengxue. SWOT analysis on Dendrobium huoshanense industrial chain from perspective of patents[J]. Chinese Traditional and Herbal Drugs, 2021, 52 (12): 3775-3782.

[9] Zhou Jian, Zhang Jie, Qu Ran, et al. LDA-based topic mining and evolution analysis of blockchain at home and abroad[J]. Journal of Intelligence, 2021, 40 (9): 161-169.

[10] The State Council. The outline of the national intellectual property strategy and proposed the five key points of the national intellectual property strategy[J]. Science and Technology and Industrialization of Chinese Universities, 2008 (6): 4.

[11] Li Mengqi, Huang Haozhou. SWOT analysis and commentary on Xanthii Fructus industrial chain from perspective of patents[J]. Chinese Traditional and Herbal Drugs, 2020, 51 (15): 4098-4108.