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Janssen PHM, Fathollahi S, Dickhoff BHJ, Frijlink HW. Critical review on the role of excipient properties in pharmaceutical powder-to-tablet continuous manufacturing. Expert Opin Drug Deliv 2024; 21:1069-1079. [PMID: 39129595 DOI: 10.1080/17425247.2024.2384698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 07/22/2024] [Indexed: 08/13/2024]
Abstract
INTRODUCTION The pharmaceutical industry is gradually changing batch-wise manufacturing processes to continuous manufacturing processes, due to the advantages it has to offer. The final product quality and process efficiency of continuous manufacturing processes is among others impacted by the properties of the raw materials. Existing knowledge on the role of raw material properties in batch processing is however not directly transferable to continuous processes, due to the inherent differences between batch and continuous processes. AREAS COVERED A review is performed to evaluate the role of excipient properties for different unit operations used in continuous manufacturing processes. Unit operations that will be discussed include feeding, blending, granulation, final blending, and compression. EXPERT OPINION Although the potency of continuous manufacturing is widely recognized, full utilization still requires a number of challenges to be addressed effectively. An expert opinion will be provided that discusses those challenges and potential solutions to overcome those challenges. The provided overview can serve as a framework for the pharmaceutical industry to push ahead process optimization and formulation development for continuous manufacturing processes.
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Affiliation(s)
- Pauline H M Janssen
- Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen, The Netherlands
- Innovation & Technical Solutions, DFE Pharma, Goch, Germany
| | | | | | - Henderik W Frijlink
- Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen, The Netherlands
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2
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Franke M, Riedel T, Meier R, Schmidt C, Kleinebudde P. Scale-up in twin-screw wet granulation: impact of formulation properties. Pharm Dev Technol 2023; 28:948-961. [PMID: 37889884 DOI: 10.1080/10837450.2023.2276791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 10/25/2023] [Indexed: 10/29/2023]
Abstract
The focus of this study was to investigate the sensitivity of different drug formulations to differences in process parameters based on previously developed scale-up strategies. Three different formulations were used for scale-up experiments from a QbCon® 1 with a screw diameter of 16 mm and a throughput of 2 kg/h to a QbCon® 25 line with a screw diameter of 25 mm and a throughput of 25 kg/h. Two of those formulations were similar in their composition of excipients but had a different API added to the blend to investigate the effect of solubility of the API during twin-screw wet granulation, while the third formulation was based on a controlled release formulation with different excipients and a high fraction of HPMC. The L/S-ratio had to be set specifically for each formulation as depending on the binder and the overall composition the blends varied significantly in their response to water addition and their overall granulation behavior. Before milling there were large differences in granule size distributions based on scale (Earth Mover's Distance 140-1100 µm, higher values indicating low similarity) for all formulations. However, no major differences in granule properties (e.g. Earth Mover's Distance for GSDs: 23-88 µm) or tablet tensile strength (> 1.8 MPa at a compaction pressure of 200 MPa for all formulations with a coefficient of variation < 0.1, indicating high robustness for all formulations) were observed after milling, which allowed for a successful scale-up independent of the selected formulations.
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Affiliation(s)
- Marcel Franke
- Department of Pharmaceutical Technologies, Merck Healthcare KGaA, Darmstadt, Germany
- Institute of Pharmaceutics and Biopharmaceutics, Heinrich Heine University, Düsseldorf, Germany
| | - Thomas Riedel
- Department of Pharmaceutical Technologies, Merck Healthcare KGaA, Darmstadt, Germany
| | - Robin Meier
- L.B. Bohle Maschinen und Verfahren GmbH, Ennigerloh, Germany
| | - Carsten Schmidt
- Department of Pharmaceutical Technologies, Merck Healthcare KGaA, Darmstadt, Germany
| | - Peter Kleinebudde
- Institute of Pharmaceutics and Biopharmaceutics, Heinrich Heine University, Düsseldorf, Germany
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3
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Matsunami K, Vandeputte T, Barrera Jiménez AA, Peeters M, Ghijs M, Van Hauwermeiren D, Stauffer F, Dos Santos Schultz E, Nopens I, De Beer T. Validation of model-based design of experiments for continuous wet granulation and drying. Int J Pharm 2023; 646:123493. [PMID: 37813175 DOI: 10.1016/j.ijpharm.2023.123493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/27/2023] [Accepted: 10/05/2023] [Indexed: 10/11/2023]
Abstract
This paper presents an application case of model-based design of experiments for the continuous twin-screw wet granulation and fluid-bed drying sequence. The proposed framework consists of three previously developed models. Here, we are testing the applicability of previously published unit operation models in this specific part of the production line to a new active pharmaceutical ingredient. Firstly, a T-shaped partial least squares regression model predicts d-values of granules after wet granulation with different process settings. Then, a high-resolution full granule size distribution is computed by a hybrid population balance and partial least squares regression model. Lastly, a mechanistic model of fluid-bed drying simulates drying time and energy efficiency, using the outputs of the first two models as a part of the inputs. In the application case, good operating conditions were calculated based on material and formulation properties as well as the developed process models. The framework was validated by comparing the simulation results with three experimental results. Overall, the proposed framework enables a process designer to find appropriate process settings with a less experimental workload. The framework combined with process knowledge reduced 73.2% of material consumption and 72.3% of time, especially in the early process development phase.
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Affiliation(s)
- Kensaku Matsunami
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium.
| | - Tuur Vandeputte
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium
| | - Ana Alejandra Barrera Jiménez
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium
| | - Michiel Peeters
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium
| | - Michael Ghijs
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium
| | - Daan Van Hauwermeiren
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium
| | - Fanny Stauffer
- Product Design & Performance, UCB, Braine l'Alleud, 1420, Belgium
| | | | - Ingmar Nopens
- BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium
| | - Thomas De Beer
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium
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4
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Matsunami K, Meyer J, Rowland M, Dawson N, De Beer T, Van Hauwermeiren D. T-shaped partial least squares for high-dosed new active pharmaceutical ingredients in continuous twin-screw wet granulation: Granule size prediction with limited material information. Int J Pharm 2023; 646:123481. [PMID: 37805145 DOI: 10.1016/j.ijpharm.2023.123481] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 10/02/2023] [Accepted: 10/03/2023] [Indexed: 10/09/2023]
Abstract
This work presents a granule size prediction approach applicable to diverse formulations containing new active pharmaceutical ingredients (APIs) in continuous twin-screw wet granulation. The approach consists of a surrogate selection method to identify similar materials with new APIs and a T-shaped partial least squares (T-PLS) model for granule size prediction across varying formulations and process conditions. We devised a surrogate material selection method, employing a combination of linear pre-processing and nonlinear classification algorithms, which effectively identified suitable surrogates for new materials. Using only material properties obtained through four characterization methods, our approach demonstrated its predictive prowess. The selected surrogate methods were seamlessly integrated with our developed T-PLS model, which was meticulously validated for high-dose formulations involving three new APIs. When surrogating new APIs based on Gaussian process classification, we achieved the lowest prediction errors, signifying the method's robustness. The predicted d-values were within the range of uncertainty bounds for all cases, except for d90 of API C. Notably, the approach offers a direct and efficient solution for early-phase formulation and process development, considerably reducing the need for extensive experimental work. By relying on just four material characterization methods, it streamlines the research process while maintaining a high degree of accuracy.
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Affiliation(s)
- Kensaku Matsunami
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium.
| | - Jonathan Meyer
- Worldwide Research and Development, Pfizer Inc., Sandwich, Kent, UK
| | - Martin Rowland
- Worldwide Research and Development, Pfizer Inc., Sandwich, Kent, UK
| | - Neil Dawson
- Worldwide Research and Development, Pfizer Inc., Sandwich, Kent, UK
| | - Thomas De Beer
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium
| | - Daan Van Hauwermeiren
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium
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5
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Peeters M, Barrera Jiménez AA, Matsunami K, Van Hauwermeiren D, Stauffer F, Arnfast L, Vigh T, Nopens I, De Beer T. Exploring the effect of raw material properties on continuous twin-screw wet granulation manufacturability. Int J Pharm 2023; 645:123391. [PMID: 37696346 DOI: 10.1016/j.ijpharm.2023.123391] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 09/13/2023]
Abstract
Twin-screw wet granulation (TSWG) stands out as a promising continuous alternative to conventional batch fluid bed- and high shear wet granulation techniques. Despite its potential, the impact of raw material properties on TSWG processability remains inadequately explored. Furthermore, the absence of supportive models for TSWG process development with new active pharmaceutical ingredients (APIs) adds to the challenge. This study tackles these gaps by introducing four partial least squares (PLS) models that approximate both the applicable liquid-to-solid (L/S) ratio range and resulting granule attributes (i.e., granule size and friability) based on initial material properties. The first two PLS models link the lowest and highest applicable L/S ratio for TSWG, respectively, with the formulation blend properties. The third and fourth PLS models predict the granule size and friability, respectively, from the starting API properties and applied L/S ratio for twin-screw wet granulation. By analysing the developed PLS models, water-related material properties (e.g., solubility, wettability, dissolution rate), as well as density and flow-related properties (e.g., flow function coefficient), were found to be impacting the TSWG processability. In addition, the applicability of the developed PLS models was evaluated by using them to propose suitable L/S ratio ranges (i.e., resulting in granules with the desired properties) for three new APIs and related formulations followed by an experimental validation thereof. Overall, this study helped to better understand the effect of raw material properties upon TSWG processability. Moreover, the developed PLS models can be used to propose suitable TSWG process settings for new APIs and hence reduce the experimental effort during process development.
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Affiliation(s)
- Michiel Peeters
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Oost-Vlaanderen, Belgium
| | - Ana Alejandra Barrera Jiménez
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent 9000, Oost-Vlaanderen, Belgium
| | - Kensaku Matsunami
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent 9000, Oost-Vlaanderen, Belgium.
| | - Daan Van Hauwermeiren
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent 9000, Oost-Vlaanderen, Belgium
| | - Fanny Stauffer
- Product Design & Performance, UCB, Braine l'Alleud 1420, Belgium
| | - Lærke Arnfast
- Discovery, Product Development & Supply, Janssen R&D, Beerse B-2340, Belgium
| | - Tamas Vigh
- Discovery, Product Development & Supply, Janssen R&D, Beerse B-2340, Belgium
| | - Ingmar Nopens
- BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent 9000, Oost-Vlaanderen, Belgium
| | - Thomas De Beer
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Oost-Vlaanderen, Belgium
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Barrera Jiménez AA, Matsunami K, Van Hauwermeiren D, Peeters M, Stauffer F, Dos Santos Schultz E, Kumar A, De Beer T, Nopens I. Partial least squares regression to calculate population balance model parameters from material properties in continuous twin-screw wet granulation. Int J Pharm 2023; 640:123040. [PMID: 37172629 DOI: 10.1016/j.ijpharm.2023.123040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/04/2023] [Accepted: 05/06/2023] [Indexed: 05/15/2023]
Abstract
In the pharmaceutical industry, twin-screw wet granulation has become a realistic option for the continuous manufacturing of solid drug products. Towards the efficient design, population balance models (PBMs) have been recognized as a tool to compute granule size distribution and understand physical phenomena. However, the missing link between material properties and the model parameters limits the swift applicability and generalization of new active pharmaceutical ingredients (APIs). This paper proposes partial least squares (PLS) regression models to assess the impact of material properties on PBM parameters. The parameters of the compartmental one-dimensional PBMs were derived for ten formulations with varying liquid-to-solid ratios and connected with material properties and liquid-to-solid ratios by PLS models. As a result, key material properties were identified in order to calculate it with the necessary accuracy. Size- and moisture-related properties were influential in the wetting zone whereas density-related properties were more dominant in the kneading zones.
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Affiliation(s)
- Ana Alejandra Barrera Jiménez
- BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium.
| | - Kensaku Matsunami
- BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium.
| | - Daan Van Hauwermeiren
- BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium
| | - Michiel Peeters
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium
| | - Fanny Stauffer
- Product Design & Performance, UCB, Braine l'Alleud, 1420, Belgium
| | | | - Ashish Kumar
- Discovery, Product Development & Supply, Janssen R&D, Beerse, B-2340, Belgium
| | - Thomas De Beer
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent, 9000, Oost-Vlaanderen, Belgium
| | - Ingmar Nopens
- BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent, 9000, Oost-Vlaanderen, Belgium
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Franke M, Riedel T, Meier R, Schmidt C, Kleinebudde P. Comparison of scale-up strategies in twin-screw wet granulation. Int J Pharm 2023; 641:123052. [PMID: 37196882 DOI: 10.1016/j.ijpharm.2023.123052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/09/2023] [Accepted: 05/11/2023] [Indexed: 05/19/2023]
Abstract
The aim of this study was to compare different scale-up strategies in twin-screw wet granulation and investigate the impact of the selected strategy on granule and tablet properties for a defined formulation. For the scale-up, a granulation process was transferred from a QbCon® 1 with a screw diameter of 16mm to a QbCon® 25 line with a screw diameter of 25mm. Three different scale-up strategies were introduced based on differences in process parameters and their resulting effects on various aspects. such as the powder feed number as a surrogate for the barrel fill level or the circumferential speed. Both are highly dependent on screw diameter and screw speed (SS), while the barrel fill level also depends on the overall throughput. Granules produced on the larger scale were significantly larger due to the larger gap size in the granulator, however, these differences were eliminated after milling. Despite major differences in powder feed number, circumferential speed, overall throughput and SS, product properties for both tablets and granules were strikingly similar after milling on both scales and with all applied strategies. For the selected formulation the effect of varying liquid to solid ratio at the same scale was much higher than the differences between scale-up strategies. The results of this study are promising for future process scale-up from lab scale to production scale in twin-screw wet granulation, as they are indicating towards a robust granulation process leading to similar tablet properties afterwards.
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Affiliation(s)
- Marcel Franke
- Merck Healthcare KGaA, Department of Pharmaceutical Technologies, Darmstadt, Germany; Heinrich Heine University, Institute of Pharmaceutics and Biopharmaceutics, Universitätsstr. 1, Building 26.22, Düsseldorf, Germany
| | - Thomas Riedel
- Merck Healthcare KGaA, Department of Pharmaceutical Technologies, Darmstadt, Germany
| | - Robin Meier
- L.B. Bohle Maschinen und Verfahren GmbH, Ennigerloh, Germany
| | - Carsten Schmidt
- Merck Healthcare KGaA, Department of Pharmaceutical Technologies, Darmstadt, Germany
| | - Peter Kleinebudde
- Heinrich Heine University, Institute of Pharmaceutics and Biopharmaceutics, Universitätsstr. 1, Building 26.22, Düsseldorf, Germany.
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8
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Model development and calibration of two-dimensional population balance model for twin-screw wet granulation based on particle size distribution and porosity. POWDER TECHNOL 2023. [DOI: 10.1016/j.powtec.2023.118334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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9
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Casian T, Iurian S, Gâvan A, Porfire A, Pop AL, Crișan S, Pușcaș AM, Tomuță I. In-Depth Understanding of Granule Compression Behavior under Variable Raw Material and Processing Conditions. Pharmaceutics 2022; 14:pharmaceutics14010177. [PMID: 35057072 PMCID: PMC8780340 DOI: 10.3390/pharmaceutics14010177] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/06/2022] [Accepted: 01/11/2022] [Indexed: 12/25/2022] Open
Abstract
Tablet manufacturing involves the processing of raw materials through several unit operations. Thus, the mitigation of input-induced variability should also consider the downstream processability of intermediary products. The objective of the present work was to study the effect of variable raw materials and processing conditions on the compression properties of granules containing two active pharmaceutical ingredients (APIs) and microcrystalline cellulose. Differences in compressibility and tabletability of granules were highlighted in function of the initial particle size of the first API, granule polydispersity and fragmentation. Moreover, interactions were underlined with the atomizing pressure. Changing the supplier of the second API was efficiently controlled by adapting the binder addition rate and atomizing pressure during granulation, considering the starting crystal size. By fitting mathematical models on the available compression data, the influence of diluent source on granule compactibility and tabletability was identified. These differences resumed to the ease of compaction, tableting capacity and pressure sensitivity index due to variable water binding capacity of microcrystalline cellulose. Building the design space enabled the identification of suitable API types and the appropriate processing conditions (spray rate, atomizing pressure, compression force) required to ensure the desired tableting performance.
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Affiliation(s)
- Tibor Casian
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania; (T.C.); (A.G.); (A.P.); (A.M.P.); (I.T.)
| | - Sonia Iurian
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania; (T.C.); (A.G.); (A.P.); (A.M.P.); (I.T.)
- Correspondence:
| | - Alexandru Gâvan
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania; (T.C.); (A.G.); (A.P.); (A.M.P.); (I.T.)
| | - Alina Porfire
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania; (T.C.); (A.G.); (A.P.); (A.M.P.); (I.T.)
| | - Anca Lucia Pop
- Department of Clinical Laboratory, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania;
- RD Center, AC HELCOR, 430092 Baia Mare, Romania;
| | | | - Anda Maria Pușcaș
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania; (T.C.); (A.G.); (A.P.); (A.M.P.); (I.T.)
| | - Ioan Tomuță
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400000 Cluj-Napoca, Romania; (T.C.); (A.G.); (A.P.); (A.M.P.); (I.T.)
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10
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Rao RR, Pandey A, Hegde AR, Kulkarni VI, Chincholi C, Rao V, Bhushan I, Mutalik S. Metamorphosis of Twin Screw Extruder-Based Granulation Technology: Applications Focusing on Its Impact on Conventional Granulation Technology. AAPS PharmSciTech 2021; 23:24. [PMID: 34907508 PMCID: PMC8816530 DOI: 10.1208/s12249-021-02173-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/29/2021] [Indexed: 11/30/2022] Open
Abstract
In order to be at pace with the market requirements of solid dosage forms and regulatory standards, a transformation towards systematic processing using continuous manufacturing (CM) and automated model-based control is being thought through for its fundamental advantages over conventional batch manufacturing. CM eliminates the key gaps through the integration of various processes while preserving quality attributes via the use of process analytical technology (PAT). The twin screw extruder (TSE) is one such equipment adopted by the pharmaceutical industry as a substitute for the traditional batch granulation process. Various types of granulation techniques using twin screw extrusion technology have been explored in the article. Furthermore, individual components of a TSE and their conjugation with PAT tools and the advancements and applications in the field of nutraceuticals and nanotechnology have also been discussed. Thus, the future of granulation lies on the shoulders of continuous TSE, where it can be coupled with computational mathematical studies to mitigate its complications.
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11
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Analysis of the Effects of Process Parameters on Start-Up Operation in Continuous Wet Granulation. Processes (Basel) 2021. [DOI: 10.3390/pr9091502] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Toward further implementation of continuous tablet manufacturing, one key issue is the time needed for start-up operation because it could lead to lower product yield and reduced economic performance. The behavior of the start-up operation is not well understood; moreover, the definition of the start-up time is still unclear. This work investigates the effects of process parameters on the start-up operation in continuous wet granulation, which is a critical unit operation in solid drug manufacturing. The profiles of torque and granule size distribution were monitored and measured for the first hour of operation, including the start-up phase. We analyzed the impact of process parameters based on design of experiments and performed an economic assessment to see the effects of the start-up operation. The torque profiles indicated that liquid-to-solid ratio and screw speed would affect the start-up operation, whereas different start-up behavior resulted in different granule size. Depending on the indicator used to define the start-up operation, the economic optimal point was significantly different. The results of this study stress that the start-up time differs according to the process parameters and used definition, e.g., indicators and criteria. This aspect should be considered for the further study and regulation of continuous manufacturing.
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Ryckaert A, Van Hauwermeiren D, Dhondt J, De Man A, Funke A, Djuric D, Vervaet C, Nopens I, De Beer T. TPLS as predictive platform for twin-screw wet granulation process and formulation development. Int J Pharm 2021; 605:120785. [PMID: 34111548 DOI: 10.1016/j.ijpharm.2021.120785] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 06/03/2021] [Accepted: 06/04/2021] [Indexed: 11/25/2022]
Abstract
In recent years, the interest in continuous manufacturing techniques, such as twin-screw wet granulation, has increased. However, the understanding of the influence of the combination of raw material properties and process settings upon the granule quality attributes is still limited. In this study, a T-shaped partial least squares (TPLS) model was developed to link raw material properties, the ratios in which these raw materials were combined and the applied process parameters for the twin-screw wet granulation process with the granule quality attributes. In addition, the predictive ability of the TPLS model was used to find a suitable combination of formulation composition and twin-screw granulation process settings for a new API leading to desired granule quality attributes. Overall, this study helped to better understand the link between raw material properties, formulation composition and process settings on granule quality attributes. Moreover, as TPLS can provide a reasonable starting point for formulation and process development for new APIs, it can reduce the experimental development efforts and consequently the consumption of expensive (and often limited available) new API.
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Affiliation(s)
- A Ryckaert
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical analysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium.
| | - D Van Hauwermeiren
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical analysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium; BIOMATH, Department of Mathematical Modelling, Statistics and Bio-informatics, Ghent University, Coupure Links 653, 9000 Ghent, Belgium.
| | - J Dhondt
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical analysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium.
| | - A De Man
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical analysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium.
| | - A Funke
- Chemical & Pharmaceutical Development, Pharma R&D, Bayer AG, Friedrich-Ebert-Straße 475, 42369 Wuppertal, Germany.
| | - D Djuric
- Chemical & Pharmaceutical Development, Pharma R&D, Bayer AG, Friedrich-Ebert-Straße 475, 42369 Wuppertal, Germany.
| | - C Vervaet
- Laboratory of Pharmaceutical Technology, Department of Pharmaceutics Ghent University, Ottergemsesteenweg 460, Ghent, Belgium.
| | - I Nopens
- BIOMATH, Department of Mathematical Modelling, Statistics and Bio-informatics, Ghent University, Coupure Links 653, 9000 Ghent, Belgium.
| | - T De Beer
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical analysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium.
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Ryckaert A, Stauffer F, Funke A, Djuric D, Vanhoorne V, Vervaet C, De Beer T. Evaluation of torque as an in-process control for granule size during twin-screw wet granulation. Int J Pharm 2021; 602:120642. [PMID: 33933640 DOI: 10.1016/j.ijpharm.2021.120642] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 04/20/2021] [Accepted: 04/21/2021] [Indexed: 10/21/2022]
Abstract
The potential of torque as in-process control (IPC) to monitor granule size in twin-screw wet granulation (TSG) was investigated. An experimental set-up allowing the collection of granules at four different locations (i.e., in the wetting zone, after the first and second kneading zone and at the end of the granulator) of the granulator screws was used to determine the change in granule size, granule temperature and the contribution of each compartment to the overall torque for varying screw speed, mass feed rate and liquid-to-solid ratio. The only observed correlation was between the granule size and torque increase after the first kneading zone because the torque increase was an indication of the degree in granule growth which was consistently observed with all applied granulation process parameters. No correlation was observed in the other locations as changes of torque were accompanied to either granule breakage and/or growth. Moreover, torque increase was correlated to higher granule temperature, suggesting that energy put into the granulator was partly used to heat up the material being processed and explains additionally the lack of correlation between granule size and torque. Therefore, this study showed that torque could not be used as IPC to monitor granule size during TSG.
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Affiliation(s)
- A Ryckaert
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical analysis, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium.
| | - F Stauffer
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical analysis, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium.
| | - A Funke
- Chemical & Pharmaceutical Development, Pharma R&D, Bayer AG, Friedrich-Ebert-Straße 475, 42369, Wuppertal, Germany.
| | - D Djuric
- Chemical & Pharmaceutical Development, Pharma R&D, Bayer AG, Friedrich-Ebert-Straße 475, 42369, Wuppertal, Germany.
| | - V Vanhoorne
- Laboratory of Pharmaceutical Technology, Department of Pharmaceutics Ghent University, Ottergemsesteenweg 460, Ghent, Belgium.
| | - C Vervaet
- Laboratory of Pharmaceutical Technology, Department of Pharmaceutics Ghent University, Ottergemsesteenweg 460, Ghent, Belgium.
| | - T De Beer
- Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical analysis, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium.
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Portier C, Vervaet C, Vanhoorne V. Continuous Twin Screw Granulation: A Review of Recent Progress and Opportunities in Formulation and Equipment Design. Pharmaceutics 2021; 13:668. [PMID: 34066921 PMCID: PMC8148523 DOI: 10.3390/pharmaceutics13050668] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 04/30/2021] [Accepted: 05/02/2021] [Indexed: 11/16/2022] Open
Abstract
Continuous twin screw wet granulation is one of the key continuous manufacturing technologies that have gained significant interest in the pharmaceutical industry as well as in academia over the last ten years. Given its considerable advantages compared to wet granulation techniques operated in batch mode such as high shear granulation and fluid bed granulation, several equipment manufacturers have designed their own manufacturing setup. This has led to a steep increase in the research output in this field. However, most studies still focused on a single (often placebo) formulation, hence making it difficult to assess the general validity of the obtained results. Therefore, current review provides an overview of recent progress in the field of continuous twin screw wet granulation, with special focus on the importance of the formulation aspect and raw material properties. It gives practical guidance for novel and more experienced users of this technique and highlights some of the unmet needs that require further research.
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Affiliation(s)
| | | | - Valérie Vanhoorne
- Laboratory of Pharmaceutical Technology, Department of Pharmaceutics, Ghent University, Ottergemsesteenweg 460, B-9000 Ghent, Belgium; (C.P.); (C.V.)
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15
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Mundozah AL, Yang J, Omar C, Mahmah O, Salman AD. Twin screw granulation: A simpler re-derivation of quantifying fill level. Int J Pharm 2020; 591:119959. [PMID: 33039494 DOI: 10.1016/j.ijpharm.2020.119959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 10/03/2020] [Accepted: 10/05/2020] [Indexed: 10/23/2022]
Abstract
The fill level is defined as the volume occupied by the powder and granules inside the twin-screw granulator in proportion to the maximum barrel channel void 'free' volume. In literature, the fill level is one of the key factors that determine the final granule properties as it relies on several factors such as the screw speed, screw element geometry, mass flow rate and barrel length. However, quantitative prediction of the fill level in twin-screw granulation (TSG) is still a developing area, which is required to enable effective development of process design space, to yield a product with desired quality attributes for all process scale levels (small to large equipment). In this study, a simple geometrical model is presented that predicts the barrel channel fill level in TSG. This model relates the volumetric flow rate to the forward volumetric conveying rate of the screws when they advance in the axial direction. Experimentation was conducted to validate the model by analytically measuring mass hold-up, the amount of material remaining in the barrel after steady state was reached, as the fill level is proportional to mass hold-up. Furthermore, the trends in the extent of granulation with the proposed model were investigated. Good agreement was found between the proposed fill level model and the mass hold-up for various screw elements, therefore the model provides a more practical measure of the fill level in TSG.
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Affiliation(s)
- Aquino L Mundozah
- Department of Chemical and Biological Engineering, University of Sheffield, Mapping Street, Sheffield S1 3JD, UK
| | - Jiankai Yang
- Department of Chemical and Biological Engineering, University of Sheffield, Mapping Street, Sheffield S1 3JD, UK
| | - Chalak Omar
- Department of Chemical and Biological Engineering, University of Sheffield, Mapping Street, Sheffield S1 3JD, UK
| | - Osama Mahmah
- Department of Chemical and Biological Engineering, University of Sheffield, Mapping Street, Sheffield S1 3JD, UK
| | - Agba D Salman
- Department of Chemical and Biological Engineering, University of Sheffield, Mapping Street, Sheffield S1 3JD, UK.
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Menth J, Maus M, Wagner KG. Continuous twin screw granulation and fluid bed drying: A mechanistic scaling approach focusing optimal tablet properties. Int J Pharm 2020; 586:119509. [PMID: 32561305 DOI: 10.1016/j.ijpharm.2020.119509] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 06/02/2020] [Accepted: 06/03/2020] [Indexed: 11/25/2022]
Abstract
This study provides the results of investigation on scaling approaches for three differently-sized continuous granulation lines, each consisting of a twin screw wet granulation process and a continuous fluid bed drying process. To check the initial scaling approach with regard to granule and tablet properties, a process parameter Design of experiment (DoE) was performed on each of the three equipment scales. The processed formulation did not contain cellulose to allow a high overall flowrate through the directly connected granulation and drying sections. Enhanced scaling aspects showed the influence of Froude number [-] at different twin screw granulator scales and screw speeds on the overgranulated particle fraction [% (V/V] as well as on the scale-dependent drying performance of the continuous fluid bed dryers. Scale-independent, specification limits of the two granule material attributes particle fine fraction [%] and residual water content [%] could be defined, resulting in high tableting performance in terms of tabletability and compressibility. Based on these specification limits and the statistical evaluation of the process parameter DoE, a process design space for the continuous granulation and drying process for each scale was calculated. It came up, that this process design space was decreasing in range with increasing equipment scale. The applicability of the presented scaling approach in terms of granule and tablet properties could successfully be demonstrated by three control experiments performed on the different equipment scales. In sum, this work delivers a basis for a smooth transition of scales within process development on the investigated continuous twin screw granulation and drying lines.
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Affiliation(s)
- Judith Menth
- Pharmaceutical Development, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Straße 65, 88397 Biberach, Germany; Department of Pharmaceutical Technology, University of Bonn, Gerhard-Domagk-Straße 3, 53121 Bonn, Germany
| | - Martin Maus
- Pharmaceutical Development, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Straße 65, 88397 Biberach, Germany
| | - Karl G Wagner
- Department of Pharmaceutical Technology, University of Bonn, Gerhard-Domagk-Straße 3, 53121 Bonn, Germany.
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Continuous twin screw granulation: A complex interplay between formulation properties, process settings and screw design. Int J Pharm 2020; 576:119004. [DOI: 10.1016/j.ijpharm.2019.119004] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 12/23/2019] [Accepted: 12/26/2019] [Indexed: 11/19/2022]
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