A new system for continuous wet granulation

09 Jun 2023 | Contributor(s): Schroeder, R, Steffens, KJ

Modern actives often show hydrophobic properties with a reduced tablet-ability In such cases wet granulation is the most promising production step. Aqueous wet granulation however may be difficult, due to the poor wetability of the actives. Normally intensive mixers are used for those...

A NIR-Based Study of Desorption Kinetics during Continuous Spin Freeze-Drying

09 Jun 2023 | Contributor(s): Leys, Laurens, Nuytten, Gust, Lammens, Joris, Van Bockstal, Pieter-Jan, Corver, Jos, Vervaet, Chris, De Beer, Thomas

The pharmaceutical industry is progressing toward the development of more continuous manufacturing techniques. At the same time, the industry is striving toward more process understanding and improved process control, which requires the implementation of process analytical technology tools (PAT)....

A novel approach to support formulation design on twin screw wet granulation technology: Understanding the impact of overarching excipient properties on drug product quality attributes

09 Jun 2023 | Contributor(s): Willecke, N., Szepes, A., Wunderlich, M., Remon, J. P., Vervaet, C., De Beer, T.

The overall objective of this work is to understand how excipient characteristics influence the drug product quality attributes and process performance of a continuous twin screw wet granulation process. The knowledge gained in this study is intended to be used for Quality by Design (QbD)-based...

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

09 Jun 2023 | 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 | 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 PAT-based qualification of pharmaceutical excipients produced by batch or continuous processing

09 Jun 2023 | Contributor(s): Hertrampf A., Müller H., Menezes J.C., Herdling T.

Pharmaceutical excipients have an influence on the main requirements for medicinal products (viz., quality, safety and efficacy) but also on their manufacturability. During product lifecycle it may become necessary to introduce minor changes (e.g., to continuously improve it) or major changes in...

A Perspective on Continuous Flow Chemistry in the Pharmaceutical Industry

09 Jun 2023 | Contributor(s): Baumann, M, Moody, TSSmyth, M, Wharry, S

Continuous flow manufacture is an innovative technology platform, which is gaining momentum within the pharmaceutical industry. The key advantages of continuous flow include faster and safer reactions, which can be more environmentally friendly, smaller footprint, better quality product, and...

A perspective on Quality-by-Control (QbC) in pharmaceutical continuous manufacturing

09 Jun 2023 | Contributor(s): Su, Qinglin, Ganesh, Sudarshan Moreno, Mariana Bommireddy, Yasasvi, Gonzalez, Marcial, Reklaitis, Gintaras V., Nagy, Zoltan K.

The Quality-by-Design (QbD) guidance issued by the US Food and Drug Administration (FDA) has catalyzed the modernization of pharmaceutical manufacturing practices including the adoption of continuous manufacturing. Active process control was highlighted recently as a means to improve the QbD...

A PHASE APPROPRIATE APPROACH TO RP-HPLC METHOD DEVELOPMENT FOR IMPURITIES ANALYSIS IN ACTIVE PHARMACEUTICAL INGREDIENTS VIA CONTINUOUS MANUFACTURING PROCESS UNDERSTANDING

09 Jun 2023 | Contributor(s): Yang, S, Li, YChen, TK, Kord, AS

A concept of a systematic approach to the development of phase appropriate RP-HPLC methods for quantifying organic impurities in Active Pharmaceutical Ingredients (APIs) is presented. This dynamic and practical approach emphasizes the utilization of comprehensive chromatographic knowledge gained...

A Practical and Robust Multistep Continuous Process for Manufacturing 5-Bromo-N-(tert-butyl)pyridine-3-sulfonamide

09 Jun 2023 | Contributor(s): Yu, M, Strotman, NASavage, SA, Leung, S, Ramirez, A

A multistep continuous flow process involving (1) magnesium-halogen exchange, (2) sulfonylation with sulfuryl chloride, and (3) reaction with tert-butylamine was developed for the synthesis of an arylsulfonamide pharmaceutical intermediate in the synthesis of BMS-919373. The process was...

A Framework for Representative Sampling for NIR Analysis – Theory of Sampling (TOS)

09 Jun 2023 | Contributor(s): Esbensen, Kim H, Ciurczak, Emil W., Igne, Benoît, Workman, Jr.,Jerome, Burns, Donald A., Romañach, Rodolfo J.

This chapter deals with all critical steps before near-infrared spectroscopy (NIR) analysis, irrespective of whether the total sampling error contribution is large, intermediate, or small – all cases can be treated identically, including the widespread sensor-based solutions from the...

A framework of hybrid model development with identification of plant-model mismatch

09 Jun 2023 | Contributor(s): Chen, Yingjie, Ierapetritou, Marianthi

Abstract Hybrid modeling has attracted increasing attention in order to take advantage of the additional data to improve process understanding. Current practice often adopts mechanistic models to predict process behaviors. These mechanistic models are based on physical understandings and...

A General Route for Nanoemulsion Synthesis Using Low-Energy Methods at Constant Temperature

09 Jun 2023 | Contributor(s): Gupta, A, Badruddoza, AZM, Doyle, PS

The central dogma of nanoemulsion formation using low-energy methods at constant temperature-popularly known as the emulsion inversion point (EIP) method-is that to create O/W nanoemulsions, water should be added to a mixture of an oil and surfactant. Here, we demonstrate that the above order of...

A hybrid model for multipoint real time potency observation in continuous direct compression manufacturing operations

09 Jun 2023 | Contributor(s): Gallo-Molina, Juan Pablo, Cogoni, Giuseppe, Peeters, Elisabeth, Rao Ambati, Seshagiri, Nopens, Ingmar

The ongoing transition from batch to continuous manufacturing offers both challenges and opportunities in the field of oral solid dosage form production. In turn, Process Analytical Technology (PAT) offers a path towards the successful deployment of continuous tablet manufacturing in rotary...

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 hybrid NIR-soft sensor method for real time in-process control during continuous direct compression manufacturing operations

09 Jun 2023 | Contributor(s): Cogoni, Giuseppe, Husain, Anas, Alam, Md Anik, Liu, Yang Angela, Kamyar, Reza

Near Infrared (NIR) spectroscopy is commonly utilized for continuous manufacturing as Process Analytical Technology (PAT) tool. This paper focus on a continuous direct compression manufacturing process, in which an NIR PAT probe is integrated into the tablet press feed frame and into the tablet...

A large-scale experimental comparison of batch and continuous technologies in pharmaceutical tablet manufacturing using ethenzamide

09 Jun 2023 | Contributor(s): Matsunami, Kensaku, Nagato, Takuya, Hasegawa, Koji, Sugiyama, Hirokazu

This paper compares batch and continuous technologies in terms of product quality and process performance in pharmaceutical tablet manufacturing using ethenzamide as the active pharmaceutical ingredient. Batch and continuous processes using wet granulation were investigated by performing...

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

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

A Moving Horizon Estimator for processes with multi-rate measurements: A Nonlinear Programming sensitivity approach

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Lopez-Negrete, Rodrigo, Biegler, Lorenz T.

Moving Horizon Estimation (MHE) provides a framework that allows one to incorporate both frequent and infrequent observations easily because it uses a window of past measurements, where the slower ones can be introduced as they become available. Also, MHE allows for the use of constraints on the...

A Moving Horizon-Based Approach for Least-Squares Estimation

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Robertson, Douglas G., Lee, Jay H., Rawlings, James B.

A general formulation of the moving horizon estimator is presented. An algorithm with a fixed-size estimation window and constraints on states, disturbances, and measurement noise is developed, and a probabilistic interpretation is given. The moving horizon formulation requires only one more...

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 multivariate approach to predict the volumetric and gravimetric feeding behavior of a low feed rate feeder based on raw material properties

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Bostijn, N, Dhondt, J, Ryckaert, A, Szabo, E, Dhondt, W, Van Snick, B, Vanhoorne, V, Vervaet, C, De Beer, T

In this study, the volumetric and gravimetric feeding behavior of 15 pharmaceutical powders on a low feed rate feeder was correlated with their material properties through a multivariate approach. The powders under investigation differ substantially in terms of material properties, making the...

A multivariate raw material property database to facilitate drug product development and enable in-silico design of pharmaceutical dry powder processes

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Van;Snick, B, Dhondt, JPandelaere, K, Bertels, J, Mertens, R, Klingeleers, D, Di, Pretoro, G, Remon, JP, Vervaet, C, De, Beer, T, Vanhoorne, V

In current study a holistic material characterization approach was proposed and an extensive raw material property database was developed including a wide variety of APIs and excipients with different functionalities. In total 55 different materials were characterized and described by over 100...

A comparative review of multi-rate moving horizon estimation schemes for bioprocess applications

09 Jun 2023 | Peer-reviewed journal | Contributor(s): Elsheikh, Mohamed, Hille, Rubin Tatulea-Codrean, Alexandru, Kramer, Stefan

Advanced control and monitoring of bioprocesses are dependent on accurate state and parameter information. At the same time, bioprocesses are well known for their time-varying behavior and difficulty of obtaining online measurements of the important process states. The selection and the tuning of...