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Sunao Maruyama

Showing results (1-10 of 5) with videos related to

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Chemical & Pharmaceutical Bulletin|April 4, 2022
Formulation of Biopharmaceutical Dry Powder Inhaler Using the Void Forming Index (VFI) to Detect and Avoid Powder Caking in Dry Powder Inhaler FormulationsSunao Maruyama, Makoto Miyajima, Etsuo Yonemochi
International Journal of Pharmaceutics|August 18, 2020
Application of void forming index (VFI): Detection of the effect of physical properties of dry powder inhaler formulations on powder cohesionSunao Maruyama, Shuichi Ando, Etsuo Yonemochi
International Journal of Pharmaceutics|August 27, 2017
Void forming index: A new parameter for detecting microstructural transformation caused by powder agglomerationSunao Maruyama, Etsuo Yonemochi, Susumu Hasegawa, et al.
Journal of Pharmaceutical Sciences|November 30, 2024
Application of one-class classification using deep learning technique improves the classification of subvisible particlesTakafumi Nakae, Sunao Maruyama, Toru Ogawa, et al.
International Journal of Pharmaceutics|December 17, 2009
Ascorbyl dipalmitate/PEG-lipid nanoparticles as a novel carrier for hydrophobic drugsKunikazu Moribe, Sunao Maruyama, Yutaka Inoue, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Chemical & Pharmaceutical Bulletin|April 4, 2022
Formulation of Biopharmaceutical Dry Powder Inhaler Using the Void Forming Index (VFI) to Detect and Avoid Powder Caking in Dry Powder Inhaler FormulationsSunao Maruyama, Makoto Miyajima, Etsuo Yonemochi
International Journal of Pharmaceutics|August 18, 2020
Application of void forming index (VFI): Detection of the effect of physical properties of dry powder inhaler formulations on powder cohesionSunao Maruyama, Shuichi Ando, Etsuo Yonemochi
International Journal of Pharmaceutics|August 27, 2017
Void forming index: A new parameter for detecting microstructural transformation caused by powder agglomerationSunao Maruyama, Etsuo Yonemochi, Susumu Hasegawa, et al.
Journal of Pharmaceutical Sciences|November 30, 2024
Application of one-class classification using deep learning technique improves the classification of subvisible particlesTakafumi Nakae, Sunao Maruyama, Toru Ogawa, et al.
International Journal of Pharmaceutics|December 17, 2009
Ascorbyl dipalmitate/PEG-lipid nanoparticles as a novel carrier for hydrophobic drugsKunikazu Moribe, Sunao Maruyama, Yutaka Inoue, et al.
Pageof 1