Publications by authors named "Dong-Yin Yang"

Identification of critical material attributes(CMAs) is a key issue in the quality control of large-scale TCM products like Jianwei Xiaoshi Tablets. This study focuses on the granules of Jianwei Xiaoshi Tablets, using tablet tensile strength as the primary quality attribute. A method for identifying the CMAs and a design space for the granules were established, along with a predictive model for the granule CMAs based on Fourier transform near-infrared spectroscopy(FT-NIR).

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At present, China's traditional Chinese medicine(TCM) industry is developing rapidly with the support of modern science and technology. While promoting economic development and improving national health, it has brought multiple environmental problems. Under the "dual carbon" goals, the ecological fine manufacturing of TCM may become one of the breakthroughs for the TCM industry to practice low-carbon economy.

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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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Since ancient times, traditional Chinese medicine pills have occupied a key position among different dosage forms of traditional Chinese medicine. With the aims of comprehensively improving the overall quality and innovating key technologies in the manufacturing of the pills, this article elaborates on the principles and new technology applications in pulverizing, sterilization, agglomeration, forming, and drying. In addition, modern technologies such as biosensing, image analysis, texture property evaluation, and moisture analysis can comprehensively and accurately characterize the quality of key materials in the manufacturing of traditional Chinese medicine pills, thereby achieving strict control over the quality of raw materials, intermediates, and final products and further monitoring and optimizing the entire production process of pill preparations.

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Article Synopsis
  • The safety of patients using traditional Chinese medicine depends on the quality of the preparations they receive.
  • The article talks about problems in how these medicines are made and the important tools used in the process.
  • It suggests a system to evaluate the quality of these medicines to help improve their safety and effectiveness.
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