A Combined Feed-Forward/Feed-Back Control System for a QbD-Based Continuous Tablet Manufacturing Process

09 Jun 2023 | Contributor(s): Singh, Ravendra, Muzzio, Fernando J, Ierapetritou, Marianthi, Ramachandran, Rohit

Continuous pharmaceutical manufacturing together with PAT (Process Analytical Technology) provides a suitable platform for automatic control of the end product quality as desired by QbD (quality by design)-based efficient manufacturing. The precise control of the quality of the pharmaceutical...

A Combined Feed-Forward/Feed-Back Control System for a QbD-Based Continuous Tablet Manufacturing Process

09 Jun 2023 | Contributor(s): Singh, Ravendra, Muzzio, Fernando J, Ierapetritou, Marianthi, Ramachandran, Rohit

Continuous pharmaceutical manufacturing together with PAT (Process Analytical Technology) provides a suitable platform for automatic control of the end product quality as desired by QbD (quality by design)-based efficient manufacturing. The precise control of the quality of the pharmaceutical...

A design aid for crystal growth engineering

09 Jun 2023 | Contributor(s): Li, Jinjin, Tilbury, Carl J. Kim, Seung Ha, Doherty, Michael F.

With the highly competitive development of chemical and pharmaceutical industries, mastering crystal growth is becoming increasingly necessary. Modern industrial manufacturers place high importance on the ability to grow crystals with a specific habit using tailored operating conditions. A...

A Digital Twin for Process Optimisation in Pharmaceutical Manufacturing

09 Jun 2023 | Contributor(s): Gerogiorgis, Dimitrios I., Castro-Rodriguez, Daniel

Organic synthesis is a critical step in producing any Active Pharmaceutical Ingredient (API): it encompasses a series of organic (mostly catalytic) reactions and separations, whose purpose is to arrive at a solution of a target molecule, which must then undergo crystallisation for purification,...

A fast moving horizon estimation algorithm based on nonlinear programming sensitivity

09 Jun 2023 | Contributor(s): Zavala, Victor M, Laird, Carl D, Biegler, Lorenz T

Moving horizon estimation (MHE) is an efficient optimization-based strategy for state estimation. Despite the attractiveness of this method, its application in industrial settings has been rather limited. This has been mainly due to the difficulty to solve, in real-time, the associated dynamic...

A flowsheet model for the development of a continuous process for pharmaceutical tablets: An industrial perspective

09 Jun 2023 | Contributor(s): Garcia-Munoz, Salvador, Butterbaugh, Adam Leavesley, Ian Manley, Leo Francis, Slade, David, Bermingham, Sean

A dynamic model of a continuous direct compression process for pharmaceutical tablets is presented. The objective is to assess the impact of the variability from the feeder system on the concentration of drug in the powder in the feed frame of a tablet press. The model is based on principles of...

A framework for model reliability and estimability analysis of crystallization processes with multi-impurity multi-dimensional population balance models

09 Jun 2023 | Contributor(s): Fysikopoulos, D, Benyahia, B Borsos, A Nagy, Z K, Rielly, C D

The development of reliable mathematical models for crystallization processes may be very challenging due the complexity of the underlying phenomena, the inherent Population Balance Models (PBMs) and the large number of parameters that need to be identified from experimental data. Due to the poor...

A Hybrid MPC-PID Control System Design for the Continuous Purification and Processing of Active Pharmaceutical Ingredients

09 Jun 2023 | Contributor(s): Sen, M, Singh, R, Ramachandran, R

In this work, a hybrid MPC (model predictive control)-PID (proportional-integral-derivative) control system has been designed for the continuous purification and processing framework of active pharmaceutical ingredients (APIs). The specific unit operations associated with the purification and...

A Hybrid MPC-PID Control System Design for the Continuous Purification and Processing of Active Pharmaceutical Ingredients

09 Jun 2023 | Contributor(s): Sen, M, Singh, R, Ramachandran, R

In this work, a hybrid MPC (model predictive control)-PID (proportional-integral-derivative) control system has been designed for the continuous purification and processing framework of active pharmaceutical ingredients (APIs). The specific unit operations associated with the purification and...

A Hybrid MPC-PID Control System Design for the Continuous Purification and Processing of Active Pharmaceutical Ingredients

09 Jun 2023 | Contributor(s): Sen, M, Singh, R, Ramachandran, R

In this work, a hybrid MPC (model predictive control)-PID (proportional-integral-derivative) control system has been designed for the continuous purification and processing framework of active pharmaceutical ingredients (APIs). The specific unit operations associated with the purification and...

A hybrid neural network-first principles approach to process modeling

09 Jun 2023 | Contributor(s): Psichogios, Dimitris C., Ungar, Lyle H.

A hybrid neural network‐first principles modeling scheme is developed and used to model a fedbatch bioreactor. The hybrid model combines a partial first principles model, which incorporates the available prior knowledge about the process being modeled, with a neural network which...

A model-based framework for design and analysis of PAT systems

09 Jun 2023 | Workshop | Contributor(s): Gani, Rafiqul, Singh, Ravendra, Gernaey, Krist

A model-based framework for design and analysis of PAT systems

09 Jun 2023 | Workshop | Contributor(s): Gani, Rafiqul, Singh, Ravendra, Gernaey, Krist

A multi-scale hybrid CFD-DEM-PBM description of a fluid-bed granulation process

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Sen, Maitraye, Barrasso, Dana Singh, Ravendra, Ramachandran, Rohit

In this study, a hybrid multi-scale model has been developed for a continuous fluid bed wet granulation process by dynamically coupling computational fluid dynamics (CFD) with a discrete element model (DEM) and population balance model (PBM). In this process, the granules are formed by spraying...

A multi-scale hybrid CFD-DEM-PBM description of a fluid-bed granulation process

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Sen, Maitraye, Barrasso, Dana Singh, Ravendra, Ramachandran, Rohit

In this study, a hybrid multi-scale model has been developed for a continuous fluid bed wet granulation process by dynamically coupling computational fluid dynamics (CFD) with a discrete element model (DEM) and population balance model (PBM). In this process, the granules are formed by spraying...

A New Software Framework for Implementing Crystal Growth Models to Materials of Any Crystallographic Complexity

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Zhao, Yongsheng, Tilbury, Carl J. Landis, Steven Sun, Yuanyuan, Li, Jinjin, Zhu, Peng, Doherty, Michael F.

To continue the realization of new therapeutics, a more diverse range of solid forms is being considered. Synthetic modalities are broadening beyond simple organic molecules to more complicated structures, including organic salts, cocrystals, and solvates. As in all crystalline applications,...

A New Software Framework for Implementing Crystal Growth Models to Materials of Any Crystallographic Complexity

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Zhao, Yongsheng, Tilbury, Carl J. Landis, Steven Sun, Yuanyuan, Li, Jinjin, Zhu, Peng, Doherty, Michael F.

To continue the realization of new therapeutics, a more diverse range of solid forms is being considered. Synthetic modalities are broadening beyond simple organic molecules to more complicated structures, including organic salts, cocrystals, and solvates. As in all crystalline applications,...

A Novel Integrated Workflow for Isolation Solvent Selection Using Prediction and Modeling

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Ottoboni, S, Wareham, BVassileiou, A, Robertson, M, Brown, CJ, Johnston, B, Price, CJ

A predictive tool was developed to aid process design and to rationally select optimal solvents for isolation of active pharmaceutical ingredients. The objective was to minimize the experimental work required to design a purification process by (i) starting from a rationally selected...

A Novel Integrated Workflow for Isolation Solvent Selection Using Prediction and Modeling

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Ottoboni, S, Wareham, BVassileiou, A, Robertson, M, Brown, CJ, Johnston, B, Price, CJ

A predictive tool was developed to aid process design and to rationally select optimal solvents for isolation of active pharmaceutical ingredients. The objective was to minimize the experimental work required to design a purification process by (i) starting from a rationally selected...

A novel robust digital design of a network of industrial continuous cooling crystallizers of dextrose monohydrate: From laboratory experiments to industrial application

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Nagy, Zoltan K., Szilagyi, Botond Pal, Kanjakha, Tabar, Iman Beheshti ;

This paper presents the first-ever industrial application of the digital design of a complex, large-scale industrial continuous crystallization network. The aim of the work is to optimize a large-scale continuous crystallization network used for the purification of dextrose monohydrate, by...

A Process for the Formation of Nanocrystals of Active Pharmaceutical Ingredients with Poor Aqueous Solubility in a Nanoporous Substrate

09 Jun 2023 | Peer-reviewed journal | Contributor(s): O'Mahony, M, Leung, AKFerguson, S, Trout, BL, Myerson, AS

A potential process for the formation of nanocrystals of the poorly soluble drug, ibuprofen, within a nanoporous material is demonstrated. Nanocrystalline ibuprofen (IBP) is prepared at <= 106 nm by adding a solution containing IBP to particles of controlled pore glass (CPG) within a column so...

A retrofit strategy to achieve “Fast, Flexible, Future (F3)” pharmaceutical production processes

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Singh, Ravendra, Rozada-Sanchez, Raquel Wrate, Tim Muller, Frans Gernaey, Krist V Gani, Rafiqul, Woodley, John M

n the work reported here, a substrates adoption methodology for a series of similar substrates has been developed as part of a retrofit strategy. The objective is to achieve “fast, flexible and future” pharmaceutical production processes by adapting a generic modular process-plant template....

A retrofit strategy to achieve “Fast, Flexible, Future (F3)” pharmaceutical production processes

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Singh, Ravendra, Rozada-Sanchez, Raquel Wrate, Tim Muller, Frans Gernaey, Krist V Gani, Rafiqul, Woodley, John M

n the work reported here, a substrates adoption methodology for a series of similar substrates has been developed as part of a retrofit strategy. The objective is to achieve “fast, flexible and future” pharmaceutical production processes by adapting a generic modular process-plant template....

A Stochastic Population Balance Equation Model for Nucleation and Growth of Crystals with Multiple Polymorphs

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Maggioni, Giovanni, Mazzotti, Marco

Understanding polymorph crystallization is important due to the different properties, such as bioavailability or crystal shape, exhibited by the different crystal forms. In this work, we present a model, based on population balance equations, describing the unseeded crystallization by cooling of...

A Stochastic Population Balance Equation Model for Nucleation and Growth of Crystals with Multiple Polymorphs

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Maggioni, Giovanni, Mazzotti, Marco

Understanding polymorph crystallization is important due to the different properties, such as bioavailability or crystal shape, exhibited by the different crystal forms. In this work, we present a model, based on population balance equations, describing the unseeded crystallization by cooling of...