170 related articles for article (PubMed ID: 29304722)
1. Modeling and simulation of continuous powder blending applied to a continuous direct compression process.
Galbraith SC; Liu H; Cha B; Park SY; Huang Z; Yoon S
Pharm Dev Technol; 2018 Dec; 23(10):1097-1107. PubMed ID: 29304722
[TBL] [Abstract][Full Text] [Related]
2. Development of a continuous direct compression platform for low-dose drug products.
Van Snick B; Holman J; Vanhoorne V; Kumar A; De Beer T; Remon JP; Vervaet C
Int J Pharm; 2017 Aug; 529(1-2):329-346. PubMed ID: 28684361
[TBL] [Abstract][Full Text] [Related]
3. Assessment of powder blend uniformity: Comparison of real-time NIR blend monitoring with stratified sampling in combination with HPLC and at-line NIR Chemical Imaging.
Bakri B; Weimer M; Hauck G; Reich G
Eur J Pharm Biopharm; 2015 Nov; 97(Pt A):78-89. PubMed ID: 26455421
[TBL] [Abstract][Full Text] [Related]
4. Hybrid multi-zonal compartment modeling for continuous powder blending processes.
Bhalode P; Ierapetritou M
Int J Pharm; 2021 Jun; 602():120643. PubMed ID: 33901598
[TBL] [Abstract][Full Text] [Related]
5. Continuous direct compression as manufacturing platform for sustained release tablets.
Van Snick B; Holman J; Cunningham C; Kumar A; Vercruysse J; De Beer T; Remon JP; Vervaet C
Int J Pharm; 2017 Mar; 519(1-2):390-407. PubMed ID: 28069390
[TBL] [Abstract][Full Text] [Related]
6. An investigation into the effects of excipient particle size, blending techniques and processing parameters on the homogeneity and content uniformity of a blend containing low-dose model drug.
Alyami H; Dahmash E; Bowen J; Mohammed AR
PLoS One; 2017; 12(6):e0178772. PubMed ID: 28609454
[TBL] [Abstract][Full Text] [Related]
7. Commercial scale validation of a process scale-up model for lubricant blending of pharmaceutical powders.
Kushner J; Schlack H
Int J Pharm; 2014 Nov; 475(1-2):147-55. PubMed ID: 25152166
[TBL] [Abstract][Full Text] [Related]
8. Continuous direct compression: Development of an empirical predictive model and challenges regarding PAT implementation.
Bekaert B; Van Snick B; Pandelaere K; Dhondt J; Di Pretoro G; De Beer T; Vervaet C; Vanhoorne V
Int J Pharm X; 2022 Dec; 4():100110. PubMed ID: 35024605
[TBL] [Abstract][Full Text] [Related]
9. Effects of process parameters on tablet critical quality attributes in continuous direct compression: a case study of integrating data-driven statistical models and mechanistic compaction models.
Huang Z; Galbraith SC; Cha B; Liu H; Park S; Flamm MH; Metzger M; Tantuccio A; Yoon S
Pharm Dev Technol; 2020 Dec; 25(10):1204-1215. PubMed ID: 32808839
[TBL] [Abstract][Full Text] [Related]
10. From powder to tablets: Investigation of residence time distributions in a continuous manufacturing process train as basis for continuous process verification.
Pauli V; Kleinebudde P; Krumme M
Eur J Pharm Biopharm; 2020 Aug; 153():200-210. PubMed ID: 32504796
[TBL] [Abstract][Full Text] [Related]
11. Continuous Mixing Technology: Characterization of a Vertical Mixer Using Residence Time Distribution.
Lee KT; Kimber JA; Cogoni G; Brandon JK; Wilsdon D; Verrier HM; Grieb S; Blackwood DO; Jain AC; Doshi P
J Pharm Sci; 2021 Jul; 110(7):2694-2702. PubMed ID: 33607187
[TBL] [Abstract][Full Text] [Related]
12. Digital twin of low dosage continuous powder blending - Artificial neural networks and residence time distribution models.
Beke ÁK; Gyürkés M; Nagy ZK; Marosi G; Farkas A
Eur J Pharm Biopharm; 2021 Dec; 169():64-77. PubMed ID: 34562574
[TBL] [Abstract][Full Text] [Related]
13. Development of an RTD-Based Flowsheet Modeling Framework for the Assessment of In-Process Control Strategies.
Tian G; Koolivand A; Gu Z; Orella M; Shaw R; O'Connor TF
AAPS PharmSciTech; 2021 Jan; 22(1):25. PubMed ID: 33400033
[TBL] [Abstract][Full Text] [Related]
14. On-line monitoring of blend uniformity in continuous drug product manufacturing process--The impact of powder flow rate and the choice of spectrometer: Dispersive vs. FT.
Shi Z; McGhehey KC; Leavesley IM; Manley LF
J Pharm Biomed Anal; 2016 Jan; 118():259-266. PubMed ID: 26580823
[TBL] [Abstract][Full Text] [Related]
15. Flowsheet modelling of a powder continuous feeder-mixer system.
Dias RC; Korhonen O; Ketolainen J; Lopes JA; Ervasti T
Int J Pharm; 2023 May; 639():122969. PubMed ID: 37084833
[TBL] [Abstract][Full Text] [Related]
16. A Process Analytical Technology approach to near-infrared process control of pharmaceutical powder blending: Part II: Qualitative near-infrared models for prediction of blend homogeneity.
El-Hagrasy AS; Delgado-Lopez M; Drennen JK
J Pharm Sci; 2006 Feb; 95(2):407-21. PubMed ID: 16380974
[TBL] [Abstract][Full Text] [Related]
17. In-line monitoring and optimization of powder flow in a simulated continuous process using transmission near infrared spectroscopy.
Alam MA; Shi Z; Drennen JK; Anderson CA
Int J Pharm; 2017 Jun; 526(1-2):199-208. PubMed ID: 28445765
[TBL] [Abstract][Full Text] [Related]
18. In-line Raman spectroscopic monitoring and feedback control of a continuous twin-screw pharmaceutical powder blending and tableting process.
Nagy B; Farkas A; Gyürkés M; Komaromy-Hiller S; Démuth B; Szabó B; Nusser D; Borbás E; Marosi G; Nagy ZK
Int J Pharm; 2017 Sep; 530(1-2):21-29. PubMed ID: 28723408
[TBL] [Abstract][Full Text] [Related]
19. Digital twin of a continuous direct compression line for drug product and process design using a hybrid flowsheet modelling approach.
Moreno-Benito M; Lee KT; Kaydanov D; Verrier HM; Blackwood DO; Doshi P
Int J Pharm; 2022 Nov; 628():122336. PubMed ID: 36309292
[TBL] [Abstract][Full Text] [Related]
20. Improvement of a pharmaceutical powder mixing process in a tote blender via DEM simulations.
Benque B; Orefice L; Forgber T; Habeler M; Schmid B; Remmelgas J; Khinast J
Int J Pharm; 2024 Jun; 658():124224. PubMed ID: 38740105
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
