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Trends in online detection and dynamic evaluation of traditional Chinese medicine solid preparations based on digital and intelligent technologies
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Chinese Traditional and Herbal Drugs | 2026, 57(13) : 4949 - 4963
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Chinese Traditional and Herbal Drugs | 2026, 57(13): 4949-4963
Trends in online detection and dynamic evaluation of traditional Chinese medicine solid preparations based on digital and intelligent technologies
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YU Huanhuan, YU Huicheng, WU Zhenfeng, DAN Qian, WANG Yaqi, YANG Ming, ZHANG Yutian
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doi: 10.7501/j.issn.0253-2670.2026.13.001
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Traditional Chinese medicine (TCM) solid preparations represent the primary dosage form in the TCM industry, and their manufacturing model rapidly transitioning from traditional batch production to continuous manufacturing. The complex composition of TCM ingredients, significant variability in material properties, and highly nonlinear process characteristics pose substantial challenges for online monitoring and dynamic quality evaluation. This paper systematically examines the developmental bottlenecks currently faced by online monitoring and dynamic quality evaluation in the context of continuous manufacturing of TCM solid preparations, focusing on their technical features. It provides a comprehensive review of approaches such as the construction of multidimensional process-quality databases, integration of mechanistic models with data-driven models, application of process analysis techniques at critical stages, and the implementation of digital twin and closed-loop control platforms. Future research should further explore the deep integration of “data-model-control” frameworks to transform passive monitoring into proactive prediction and adaptive regulation, thereby establishing a dynamic quality evaluation system tailored to the unique characteristics of TCM. This will provide theoretical foundations and technical references for standardizing, intelligentizing, and enhancing the quality of TCM solid preparation manufacturing.
traditional Chinese medicine solid preparations  /  continuous manufacturing  /  database  /  mathematical model  /  process analytical technology
YU Huanhuan, YU Huicheng, WU Zhenfeng, DAN Qian, WANG Yaqi, YANG Ming, ZHANG Yutian. Trends in online detection and dynamic evaluation of traditional Chinese medicine solid preparations based on digital and intelligent technologies[J]. Chinese Traditional and Herbal Drugs, 2026 , 57 (13) : 4949 -4963 . DOI: 10.7501/j.issn.0253-2670.2026.13.001
Year 2026 volume 57 Issue 13
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doi: 10.7501/j.issn.0253-2670.2026.13.001
  • Receive Date:2026-01-21
  • Online Date:2026-09-09
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  • Received:2026-01-21
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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