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Empirical prediction model based process optimization for droplet size and spraying angle during pharmaceutical fluidized bed granulation.
Zeng, Jia; Ming, Liangshan; Wang, Jiamiao; Huang, Ting; Liu, Binbin; Feng, Linglin; Xue, Man; Chen, Jianxing; Du, Ruo-Fei; Feng, Yi.
Affiliation
  • Zeng J; Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China.
  • Ming L; Shanghai Institute of Planned Parenthood Research, NHC Key Laboratory of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai, PR China.
  • Wang J; College of Pharmacy, Gannan Medical University, Ganzhou, PR China.
  • Huang T; Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China.
  • Liu B; Shanghai Institute of Planned Parenthood Research, NHC Key Laboratory of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai, PR China.
  • Feng L; Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China.
  • Xue M; Shanghai Institute of Planned Parenthood Research, NHC Key Laboratory of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai, PR China.
  • Chen J; Shanghai Institute of Planned Parenthood Research, NHC Key Laboratory of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai, PR China.
  • Du RF; Shanghai Institute of Planned Parenthood Research, NHC Key Laboratory of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai, PR China.
  • Feng Y; Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China.
Pharm Dev Technol ; 25(6): 720-728, 2020 Jul.
Article in En | MEDLINE | ID: mdl-32129125
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Particle Size / Povidone / Technology, Pharmaceutical / Empirical Research / Hypromellose Derivatives Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Pharm Dev Technol Journal subject: FARMACIA Year: 2020 Type: Article
Fulltext
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PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Particle Size / Povidone / Technology, Pharmaceutical / Empirical Research / Hypromellose Derivatives Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Pharm Dev Technol Journal subject: FARMACIA Year: 2020 Type: Article