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本文引用的文献

1
Combining experimental and computational techniques to understand and improve dry powder inhalers.
Expert Opin Drug Deliv. 2022 Jan;19(1):59-73. doi: 10.1080/17425247.2022.2026922. Epub 2022 Jan 20.
2
Effects of dose loading conditions and device geometry on the transport and aerosolization in dry powder inhalers: A simulation study.
Int J Pharm. 2021 Dec 15;610:121219. doi: 10.1016/j.ijpharm.2021.121219. Epub 2021 Oct 24.
3
Particle-based coarse-grained approach for simulating dry powder inhaler.
Int J Pharm. 2021 Sep 5;606:120821. doi: 10.1016/j.ijpharm.2021.120821. Epub 2021 Jun 24.
5
Estimating inter-patient variability of dispersion in dry powder inhalers using CFD-DEM simulations.
Eur J Pharm Sci. 2021 Jan 1;156:105574. doi: 10.1016/j.ejps.2020.105574. Epub 2020 Sep 25.
6
Numerical Study on Particle Adhesion in Dry Powder Inhaler Device.
Chem Pharm Bull (Tokyo). 2020;68(8):726-736. doi: 10.1248/cpb.c20-00106.
7
Development and characterization of meropenem dry powder inhaler formulation for pulmonary drug delivery.
Int J Pharm. 2020 Sep 25;587:119684. doi: 10.1016/j.ijpharm.2020.119684. Epub 2020 Jul 28.
8
Potential and constraints for the application of CFD combined with Lagrangian particle tracking to dry powder inhalers.
Eur J Pharm Sci. 2019 Feb 1;128:299-324. doi: 10.1016/j.ejps.2018.12.008. Epub 2018 Dec 14.
9
Use of computational fluid dynamics deposition modeling in respiratory drug delivery.
Expert Opin Drug Deliv. 2019 Jan;16(1):7-26. doi: 10.1080/17425247.2019.1551875. Epub 2018 Dec 10.
10
Effect of Relative Humidity on Bipolar Electrostatic Charge Profiles of dry Powder Aerosols.
Pharm Res. 2017 Aug;34(8):1707-1715. doi: 10.1007/s11095-017-2178-3. Epub 2017 May 24.

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