The complex production processes and long industrial chain in traditional Chinese medicine (TCM) market result in difficulty in Chinese market microstructure research. Based on the defining the logical relationships among different concepts. This paper divides TCM market into two stages as Chinese materia medica resource market and traditional Chinese Patent Medicines market. Under this foundation, we investigated the supply capacity, approaching rules and motivation system of suppliers in TCM market, analyzed the demand situation in the perspective of demand side, and evaluated the purchasing power in terms of population profile, income, and insurance. Furthermore we also analyzed the price formation mechanism in two stages of TCM market. We hope this study can make a positive and promotion effect on TCM market related research.
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Front Public Health
January 2025
School of Economics and Management, Anhui University of Chinese Medicine, Hefei, China.
Background: With the increasing global focus on health and the growing popularity of natural therapies, Traditional Chinese Medicine (TCM) products, including extracts, crude drugs, and herbal preparations, are widely utilized as both primary and complementary medicines worldwide. The Regional Comprehensive Economic Partnership (RCEP), spanning 15 countries across East Asia, Southeast Asia, and Oceania, offers a vast market for TCM. However, limited research has been conducted on the complex trade relations among RCEP members.
View Article and Find Full Text PDFCurr Pharm Des
January 2025
Amity Institute of Pharmacy, Lucknow, Amity University, Uttar Pradesh, India.
Amyotrophic Lateral Sclerosis (ALS), is a progressive neurodegenerative disease characterized by motor symptoms, and cognitive impairment. The complexity in treating ALS arises from genetic and environmental factors, contributing to the gradual decline of lower and upper motor neurons. The anticipated pharmaceutical market valuation for ALS is projected to reach $1,038.
View Article and Find Full Text PDFFood Chem
January 2025
National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road (#)501, Shanghai 201203, China; University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China. Electronic address:
The Curcuma genus is extensively used in food, traditional medicine, and spice, however, nine closely related varieties are frequently misidentified, leading to mislabeling and adulteration. This study presents an innovative and practical strategy for precise differentiation of nine Curcumae varieties-eight authentic and one counterfeit. For the first time, comprehensive characterizations were conducted using LC-Orbitrap MS, and 702 non-volatiles were annotated, laying a groundwork for marker selection and identification.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Pharmacognosy and Utilization Key Laboratory of Northeast Plant Materials, School of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang 110016, China. Electronic address:
Vaccination is an effective strategy for preventing infectious diseases. Subunit vaccines offer more precise targeting and safer protection compared with traditional inactivated virus vaccines. However, due to their poor immunogenicity, subunit vaccines necessitate the use of adjuvants to stimulate the immune system.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
December 2024
Key Laboratory of Modern Preparation of TCM,Ministry of Education, Jiangxi University of Chinese Medicine Nanchang 330004, China National Key Laboratory of Creation of Modern Chinese Medicine with Classical Formulas Nanchang 330004, China.
In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations.
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