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A smart near-infrared spectroscopy evaluation system for quality management of Chinese medicinal materials based on quality markers
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Gang BAI1, 2, *, Yuan-yuan HOU1, 2, Guo-yu DING1, 2, Min JIANG1, 2, Jie GAO1, 2, Tie-jun ZHANG3, 4, Chang-xiao LIU3, 4
Acta Pharmaceutica Sinica | 2019, 54(2) : 197 - 203
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Acta Pharmaceutica Sinica | 2019, 54(2): 197-203
• Special Reports: The Quality and Quality Markers of Traditional Chinese Medicine •
A smart near-infrared spectroscopy evaluation system for quality management of Chinese medicinal materials based on quality markers
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Gang BAI1, 2, *, Yuan-yuan HOU1, 2, Guo-yu DING1, 2, Min JIANG1, 2, Jie GAO1, 2, Tie-jun ZHANG3, 4, Chang-xiao LIU3, 4
Affiliations
  • 1. College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300353, China
  • 2. State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300353, China
  • 3. Research Center of TCM Quality Marker, Tianjin Institute of Pharmaceutical Research, Tianjin 300193, China
  • 4. State Key Laboratory of Drug Delivery and Pharmacokinetics, Tianjin Institute of Pharmaceutical Research, Tianjin 300193, China
Published: 2019-02-12 doi: 10.16438/j.0513-4870.2018-0770
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The quality of traditional Chinese medicine (TCM) is the lifeline for TCM industry. The development of artificial intelligence (AI) has provided new means for the quality management of Chinese medicinal materials (CMM). In this paper, we take the quality marker (Q-marker) as a breakthrough point, focused on the research strategy from chemical markers to Q-markers, picked up the characteristics of the Q-markers from the near infrared spectrum (NIRS), and explored the feasibility of establishing the NIRS assay based on Q-marker. After integrated the biological activity detection and artificial neural network algorithm, we try to establish the relationship between the spectral properties of NIRS and specific efficacy of the CMM. Finally, the bottlenecks will be solved that related to the transmission and traceability of quality attributes in the process of TCM production, quantity change, overall quality management and so on. This system is going to improve TCM quantity scientific and intelligent supervision, and promote the upgrading of traditional TCM industry.

Chinese medicinal materials  /  quality marker  /  near-infrared spectroscopy  /  TCM quality management  /  intelligent evaluation
Gang BAI, Yuan-yuan HOU, Guo-yu DING, Min JIANG, Jie GAO, Tie-jun ZHANG, Chang-xiao LIU. A smart near-infrared spectroscopy evaluation system for quality management of Chinese medicinal materials based on quality markers[J]. Acta Pharmaceutica Sinica, 2019 , 54 (2) : 197 -203 . DOI: 10.16438/j.0513-4870.2018-0770
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Article Info
doi: 10.16438/j.0513-4870.2018-0770
  • Receive Date：2018-08-23
  • Online Date：2026-01-26
  • Published：2019-02-12
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History
  • Received：2018-08-23
  • Revised：2018-09-21
Funding
Affiliations
    1. College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300353, China
    2. State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300353, China
    3. Research Center of TCM Quality Marker, Tianjin Institute of Pharmaceutical Research, Tianjin 300193, China
    4. State Key Laboratory of Drug Delivery and Pharmacokinetics, Tianjin Institute of Pharmaceutical Research, Tianjin 300193, China
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表12种不同金属材料的力学参数
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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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