Literature DB >> 32171898

Videometric mass flow control: A new method for real-time measurement and feedback control of powder micro-feeding based on image analysis.

Lajos Madarász1, Ákos Köte2, Martin Gyürkés1, Attila Farkas1, Bence Hambalkó2, Hajnalka Pataki1, Gergő Fülöp1, György Marosi1, László Lengyel2, Tibor Casian3, Kristóf Csorba2, Zsombor Kristóf Nagy4.   

Abstract

The present paper reports the first monitoring and control of ultra-low dose powder feeding using a camera image-based mass flow measurement system. Caffeine was fed via a single-screw microfeeder as a model active pharmaceutical ingredient (API). The mass, mass flow and sizes of the particles were successfully monitored in real-time by the developed videometric system consisting of a high-speed process camera coupled with an image analysis software. The system was also tested in feedback control mode to automatically reach the desired mass flow values by adjusting the feeder speed based on the mass flow measured by the image analysis system. Based on these features, the developed videometric system can serve as a multi-purpose PAT-tool and can provide valuable real-time information about the process which is indispensable for modern continuous pharmaceutical manufacturing.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Continuous pharmaceutical manufacturing; Dynamic Image Analysis (DIA); Feedback control; Machine vision; Micro-feeding; Process Analytical Technology (PAT); Videometric feeding

Mesh:

Substances:

Year:  2020        PMID: 32171898     DOI: 10.1016/j.ijpharm.2020.119223

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  2 in total

1.  Development of a Controlled Continuous Low-Dose Feeding Process.

Authors:  Sara Fathollahi; Julia Kruisz; Stephan Sacher; Jakob Rehrl; M Sebastian Escotet-Espinoza; James DiNunzio; Benjamin J Glasser; Johannes G Khinast
Journal:  AAPS PharmSciTech       Date:  2021-10-12       Impact factor: 3.246

Review 2.  Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology-A Review.

Authors:  Tibor Casian; Brigitta Nagy; Béla Kovács; Dorián László Galata; Edit Hirsch; Attila Farkas
Journal:  Molecules       Date:  2022-07-28       Impact factor: 4.927

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.