收藏切换
Research on dynamic on-line monitoring method of moisture attribute in three honey-processed Chinese herbal slice based on in-situ general model
收藏切换
PDF
Han ZHANG1, 2, Wen-zhe WANG1, 2, Xiao-yan HU1, 2, Jing WANG1, 2, Yan-yu HAN1, 2, Xiao-meng WANG1, 2, Xiao-meng ZHANG1, 2, Xin-yu GUO1, 2, Xing-yue HUAN1, 2, Jing ZHAO1, 2, Nan LI1, 2, Yi-fei WANG3, *, Zhi-sheng WU1, 2, *
Acta Pharmaceutica Sinica | 2023, 58(10) : 2890 - 2899
Less
收藏切换
Acta Pharmaceutica Sinica | 2023, 58(10): 2890-2899
Research on dynamic on-line monitoring method of moisture attribute in three honey-processed Chinese herbal slice based on in-situ general model
Full
Han ZHANG1, 2, Wen-zhe WANG1, 2, Xiao-yan HU1, 2, Jing WANG1, 2, Yan-yu HAN1, 2, Xiao-meng WANG1, 2, Xiao-meng ZHANG1, 2, Xin-yu GUO1, 2, Xing-yue HUAN1, 2, Jing ZHAO1, 2, Nan LI1, 2, Yi-fei WANG3, *, Zhi-sheng WU1, 2, *
Affiliations
  • 1. School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
  • 2. Engineering Research Center of Chinese Medicine Production and New Drug Development, Beijing 102488, China
  • 3. Fangshan Hospital, Beijing University of Chinese Medicine, Beijing 102499, China
Published: 2023-10-12 doi: 10.16438/j.0513-4870.2022-1383
Outline
收藏切换

Aiming at the hysteresis and destructiveness of off-line static detection of critical quality attribute of the moisture content of the raw material unit of the traditional Chinese medicine manufacturing process, honey-processed Tussilago farfara, honey-processed Astragalus and honey-processed Glycyrrhiza uralensis were used as the research carriers, and the drying method was used to measure the moisture content as a reference value. The moving stage was used to simulate the movement process of samples on the conveyor belt in the actual on-site production process, and near-infrared (NIR) spectra were collected, combined with machine learning, to establish NIR on-site dynamic detection model of moisture content in multi-variety honey-processed Chinese herbal slice. The results show that the second derivative method is used to preprocess the spectrum. The number of decision trees (ntree), the number of random features (max feature), and the minimum number of samples for generating leaf nodes (node size) are selected: 46, 76, and 8, respectively. The quantitative analysis model of moisture content has the best effect. The prediction coefficient of determination (the prediction coefficient of determination, Rpre2) and the root mean square error of prediction (root mean square error of prediction, RMSEP) of the model were 0.903 2 and 0.330 2, respectively. The NIR quantitative model for the moisture content of multi-variety honey-processed Chinese herbal slice established in this study has good predictive performance, and can achieve rapid, accurate and non-destructive quantitative analysis of the moisture content of honey-processed Tussilago farfara, honey-processed Astragalus and honey-processed Glycyrrhiza uralensis at the same time, and provides a method for determining the moisture content of honey-processed Chinese herbal slice of the raw material unit of the traditional Chinese medicine manufacturing process.

honey-processed Chinese herbal slice  /  rapid detection  /  generic model  /  moisture critical quality attribute  /  on-site dynamic monitoring
Han ZHANG, Wen-zhe WANG, Xiao-yan HU, Jing WANG, Yan-yu HAN, Xiao-meng WANG, Xiao-meng ZHANG, Xin-yu GUO, Xing-yue HUAN, Jing ZHAO, Nan LI, Yi-fei WANG, Zhi-sheng WU. Research on dynamic on-line monitoring method of moisture attribute in three honey-processed Chinese herbal slice based on in-situ general model[J]. Acta Pharmaceutica Sinica, 2023 , 58 (10) : 2890 -2899 . DOI: 10.16438/j.0513-4870.2022-1383
Year 2023 volume 58 Issue 10
PDF
225
81
Cite this Article
BibTeX
Article Info
doi: 10.16438/j.0513-4870.2022-1383
  • Receive Date:2022-12-21
  • Online Date:2025-11-21
  • Published:2023-10-12
Article Data
Affiliations
History
  • Received:2022-12-21
  • Revised:2023-02-28
Funding
Affiliations
    1. School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
    2. Engineering Research Center of Chinese Medicine Production and New Drug Development, Beijing 102488, China
    3. Fangshan Hospital, Beijing University of Chinese Medicine, Beijing 102499, China
References
Share
https://castjournals.cast.org.cn/joweb/yxxb/EN/10.16438/j.0513-4870.2022-1383
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT