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Ortega-Zúñiga CA, Román-Ospino AD, Gupta S, Omar T, Baranwal Y, Sanchez-Paternina A, Zhou Q, Jing J, Muzzio FJ. Real-time monitoring of small changes in powder blends and ejected tablets in a low-dose formulation with 1 %w/w of active pharmaceutical ingredient using Raman and near-infrared spatially resolved spectroscopy within a tablet press. Int J Pharm 2025; 670:125165. [PMID: 39755344 DOI: 10.1016/j.ijpharm.2025.125165] [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: 10/06/2024] [Revised: 12/31/2024] [Accepted: 01/01/2025] [Indexed: 01/06/2025]
Abstract
This study used Raman and near-infrared (NIR) spectroscopy to monitor small real-time changes in powder blends and tablets in low-dose pharmaceutical formulations. The research aims to enhance process analytical technology (PAT) in pharmaceutical manufacturing, ensuring high-quality and uniform products with applications to produce drugs with narrow therapeutic indices (NTI). The study utilizes Raman and NIR spatially resolved spectroscopy (SRS) techniques to monitor a moderate cohesive material's active pharmaceutical ingredient (API) concentrations during manufacturing. The sampling locations were a bin blender for the batch blending procedure where the powder heterogeneity plays a significant role in product homogeneity, a feed frame of a tablet press where powder blend dynamics is critical to final product quality, and the outlet port of the tablet press where tablets immediately after ejection can be monitored in real-time. The study used semifine acetaminophen (APAP) as the API. Results indicated that Raman and NIR SRS could detect small API concentration changes as low as 0.50 %w/w, demonstrating their sensitivity and utility in real-time monitoring. The findings support the feasibility of these techniques in ensuring tight process control and highlight the performance of reducing waste and optimizing manufacturing processes in line with quality by design principles. The results highlight the importance of residence time distribution (RTD) in understanding the flow of the materials and powder behavior within the tablet press feed frame. RTD analyses showed that both Raman and NIR SRS techniques could effectively track concentration changes and ensure uniformity in the powder blends and tablets with signal-to-noise ratios higher than 3, demonstrating the sensitivity of the methods to small API changes. The %RSD during a steady state of 250 s (corresponding to 1.04 kg of material at 15 kg/h) for the step changes presented values of 6.74 % at 0.50 %w/w, 5.39 % at 1.00 %w/w, and 2.99 % at 1.50 %w/w for Raman predictions in powder blends within the feed frame and 15.46 % at 0.50 %w/w, 9.64 % at 1.00 %w/w, and 5.68 % at 1.50 %w/w for NIR SRS predictions of tablets ejected at the outlet port of the tablet press. In conclusion, this research demonstrates the potential of advanced spectroscopic techniques and data analysis in pharmaceutical manufacturing. By enabling precise real-time monitoring and control, these techniques contribute to higher-quality drug products, particularly NTI drugs, aligning with modern regulatory expectations and advancing pharmaceutical production technology.
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Affiliation(s)
- Carlos A Ortega-Zúñiga
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, 08854, USA; Center for Structured Organic Particulate Systems (C-SOPS), Cranbury, NJ, 08512, USA.
| | - Andrés D Román-Ospino
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, 08854, USA; Center for Structured Organic Particulate Systems (C-SOPS), Cranbury, NJ, 08512, USA
| | - Shashwat Gupta
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, 08854, USA; Center for Structured Organic Particulate Systems (C-SOPS), Cranbury, NJ, 08512, USA; Eli Lilly and Company, Indianapolis, IN, 46285, USA
| | - Thamer Omar
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, 08854, USA; Center for Structured Organic Particulate Systems (C-SOPS), Cranbury, NJ, 08512, USA
| | - Yukteshwar Baranwal
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, 08854, USA; Center for Structured Organic Particulate Systems (C-SOPS), Cranbury, NJ, 08512, USA; Amgen Inc., Cambridge, MA, 02141, USA
| | - Adriluz Sanchez-Paternina
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, 08854, USA; Center for Structured Organic Particulate Systems (C-SOPS), Cranbury, NJ, 08512, USA
| | - Qiushi Zhou
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, 08854, USA; Center for Structured Organic Particulate Systems (C-SOPS), Cranbury, NJ, 08512, USA
| | - Jie Jing
- Materials Science and Engineering, Iowa State University, Ames, IA, 50011, USA
| | - Fernando J Muzzio
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, 08854, USA; Center for Structured Organic Particulate Systems (C-SOPS), Cranbury, NJ, 08512, USA
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Nakayama K, Sahara J, Fujimoto M, Yagisawa Y, Kobata K, Kawagoe H, Ikarashi A, Yokoyama T, Sakamoto T. Quantification of API content in pharmaceutical tablets within milliseconds by time-stretch near-infrared transmission spectroscopy. J Pharm Biomed Anal 2024; 249:116372. [PMID: 39079353 DOI: 10.1016/j.jpba.2024.116372] [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: 04/24/2024] [Revised: 07/17/2024] [Accepted: 07/18/2024] [Indexed: 08/20/2024]
Abstract
We explored the feasibility of high-speed and high-accuracy quantification of active pharmaceutical ingredient (API) content in tablet products by near-infrared (NIR) spectroscopy to improve the reliability of pharmaceuticals. For this purpose, we employed a high-power NIR time-stretch transmission spectrometer recently developed by us. By using this transmission spectrometer with a multivariate calibration model, we demonstrated the ability to quantify API content with a short measurement time of 3.9 ms per tablet for model pharmaceuticals. For the model tablet, the quantification ability of our spectrometer was comparable to that achieved by a commonly used Fourier-transform NIR (FT-NIR) spectrometer with a measurement time of several seconds. We also confirmed that the effect of irradiating tablets with the NIR pulses used in our spectrometer was negligible.
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Affiliation(s)
- Koji Nakayama
- Production Division, Manufacturing Technology Department, Towa Pharmaceutical Co., Ltd., 3-8 Matsuo, Kadoma, Osaka 571-0044, Japan.
| | - Junki Sahara
- New Technology Development Department, R&D Division, Business Creation Division, USHIO INC., 6409 Motoishikawa, Aoba, Yokohama, Kanagawa 225-0004, Japan
| | - Masaya Fujimoto
- Production Division, Manufacturing Technology Department, Towa Pharmaceutical Co., Ltd., 3-8 Matsuo, Kadoma, Osaka 571-0044, Japan
| | - Yasufumi Yagisawa
- Production Division, Manufacturing Technology Department, Towa Pharmaceutical Co., Ltd., 3-8 Matsuo, Kadoma, Osaka 571-0044, Japan
| | - Keiko Kobata
- New Technology Development Department, R&D Division, Business Creation Division, USHIO INC., 6409 Motoishikawa, Aoba, Yokohama, Kanagawa 225-0004, Japan
| | - Hiroyuki Kawagoe
- New Technology Development Department, R&D Division, Business Creation Division, USHIO INC., 6409 Motoishikawa, Aoba, Yokohama, Kanagawa 225-0004, Japan
| | - Aya Ikarashi
- New Technology Development Department, R&D Division, Business Creation Division, USHIO INC., 6409 Motoishikawa, Aoba, Yokohama, Kanagawa 225-0004, Japan
| | - Takuma Yokoyama
- New Technology Development Department, R&D Division, Business Creation Division, USHIO INC., 6409 Motoishikawa, Aoba, Yokohama, Kanagawa 225-0004, Japan
| | - Tomoaki Sakamoto
- National Institute of Health Sciences, MHLW, 3-25-26 Tonomachi, Kawasaki, Kawasaki, Kanagawa 210-9501, Japan
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Testing the Limits of a Portable NIR Spectrometer: Content Uniformity of Complex Powder Mixtures Followed by Calibration Transfer for In-Line Blend Monitoring. Molecules 2021; 26:molecules26041129. [PMID: 33672675 PMCID: PMC7924328 DOI: 10.3390/molecules26041129] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 02/13/2021] [Accepted: 02/18/2021] [Indexed: 11/16/2022] Open
Abstract
(1) Background: Portable NIR spectrometers gain more and more ground in the field of Process Analytical Technology due to the easy on-site flexibility and interfacing versatility. These advantages that originate from the instrument miniaturization, also come with a downside with respect to performance compared to benchtop devices. The objective of this work was to evaluate the performance of MicroNIR in a pharmaceutical powder blend application, having three active ingredients and 5 excipients. (2) Methods: Spectral data was recorded in reflectance mode using static and dynamic acquisition, on calibration set samples developed using an experimental design. (3) Results: The developed method accurately predicted the content uniformity of these complex mixtures, moreover it was validated in the entire calibration range using ±10% acceptance limits. With respect to at-line prediction, the method presented lower performance compared to a previously studied benchtop spectrometer. Regarding the in-line monitoring of the blending process, it was shown that the spectral variability-induced by dynamic acquisition could be efficiently managed using spectral pre-processing. (4) Conclusions: The in-line process monitoring resulted in accurate concentration profiles, highlighting differences in the mixing behaviour of the investigated ingredients. For the low dose component homogeneity was not reached due to an inefficient dispersive mixing.
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Tanimura S, Singh R, Román-Ospino AD, Ierapetritou M. Residence time distribution modelling and in line monitoring of drug concentration in a tablet press feed frame containing dead zones. Int J Pharm 2020; 592:120048. [PMID: 33161037 DOI: 10.1016/j.ijpharm.2020.120048] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 10/15/2020] [Accepted: 11/01/2020] [Indexed: 01/08/2023]
Abstract
The presence of a 'significant dead zone' in any continuous manufacturing equipment may affect the product quality and need to be investigated systematically. Dead zone will affect the residence time distribution (RTD) of continuous manufacturing and thus the mixing and product quality. Tablet press (feed frame) is one of unit operations that directly influence the critical quality attributes (CQA's). However, currently no systematic methods and tools are available to characterize and model the feed frame dead zone. In this manuscript, the RTD of the tablet press feed frame containing dead zone is investigated. Step-change experiments revealed that the feed frame could be expressed as a traditional continuous stirred tank model. The volume fractions of the dead zones are determined experimentally as well as using RTD model. In addition, an in-line NIR method for drug concentration monitoring inside the feed frame is also developed. The developed NIR calibration model enables to monitor the drug concentration precisely and detect the variation immediately with the probe positioned right above the left paddle. It is also found that the feed frame paddle speed slightly affects the predictive accuracy of NIR, while the die disc speed has no significant effect.
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Affiliation(s)
- Shinji Tanimura
- CMC R&D Center, Kyowa Kirin Co., Ltd., 1188 Shimotogari, Nagaizumi-cho, Sunto-gun, Shizuoka 411-8731 Japan
| | - Ravendra Singh
- Engineering Research Center for Structured Organic Particulate Systems (C-SOPS), Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
| | - Andrés D Román-Ospino
- Engineering Research Center for Structured Organic Particulate Systems (C-SOPS), Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Marianthi Ierapetritou
- Department of Chemical and Biomolecular Engineering, University of Delaware, DE 19716, USA.
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5
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Alvarado-Hernández BB, Sierra-Vega NO, Martínez-Cartagena P, Hormaza M, Méndez R, Romañach RJ. A sampling system for flowing powders based on the theory of sampling. Int J Pharm 2019; 574:118874. [PMID: 31837408 DOI: 10.1016/j.ijpharm.2019.118874] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 11/10/2019] [Accepted: 11/12/2019] [Indexed: 12/16/2022]
Abstract
An innovative chute and stream sampler system for flowing powders has been developed and tested. The system is designed for representative sampling based on the principles of the Theory of Sampling (TOS). The sampling system was used in combination with near infrared (NIR) spectroscopy to determine the drug concentration of flowing powders. The system is comprised of three parts: a chute, a stream sampler and a sample collection port. The NIR spectra were obtained at the chute, before entering the sampler, and as the powder flowed through the stream sampler. Samples were also collected from the sample collection port to be analyzed using an ultraviolet-visible (UV-Vis) reference method to determine drug content. A total of eight pharmaceutical powder blends, ranging in concentration from 10.5(%w/w) to 19.5(%w/w) of caffeine, were used to test the sampling system. Materials were characterized before blends were made to provide information on flow properties. The throughput of the system was between 30 and 35 kg/h based on the flow properties of the blend. Drug concentration was effectively determined at the chute and stream sampler. The NIR calibration models showed low root mean squared errors of prediction, 0.65(%w/w) and 0.51(%w/w), for the chute and stream sampler respectively. The NIR calibration models also showed low bias values -0.36(%w/w) at the chute and 0.057(%w/w) at the stream sampler. Significant agreement was obtained between the results from the nondestructive NIR versus the destructive UV-Vis method. Variographic analysis was performed to estimate the analytical and sampling errors when determining the drug concentration at the chute and stream sampler respectively. The variographic analysis showed low analytical errors, 0.103(%w/w)2 and 0.181(%w/w)2 at the chute and stream sampler respectively. The analysis also showed that the minimum practical error (MPE) was around 0.2(%w/w)2 at both chute and stream sampler.
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Affiliation(s)
| | - Nobel O Sierra-Vega
- Department of Chemical Engineering, University of Puerto Rico at Mayaguez, Puerto Rico
| | - Pedro Martínez-Cartagena
- Department of Chemistry, University of Puerto Rico at Mayaguez, Call Box 9000, Mayaguez 00680, Puerto Rico
| | - Manuel Hormaza
- IBS Caribe INC., P.O. Box 8849, San Juan PR 00910, Puerto Rico
| | - Rafael Méndez
- Department of Chemical Engineering, University of Puerto Rico at Mayaguez, Puerto Rico
| | - Rodolfo J Romañach
- Department of Chemistry, University of Puerto Rico at Mayaguez, Call Box 9000, Mayaguez 00680, Puerto Rico.
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Sierra-Vega NO, Romañach RJ, Méndez R. Feed frame: The last processing step before the tablet compaction in pharmaceutical manufacturing. Int J Pharm 2019; 572:118728. [PMID: 31682965 DOI: 10.1016/j.ijpharm.2019.118728] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 09/19/2019] [Accepted: 09/21/2019] [Indexed: 10/25/2022]
Abstract
The feed frame is a force-feeding device used in the die filling process. The die filling process is crucial within pharmaceutical manufacturing to guarantee the critical quality attributes of the tablets. In recent years, interest in this unit has increased because it can affect the properties of the powder blend and tablets, and because of the success in real time monitoring of powder blend uniformity potential for Process Analytical Technology as described in this review. The review focuses on the recent advances in understanding the powder flow behavior inside the feed frame and how the residence time distribution of the powder within the feed frame is affected by the operating conditions and design parameters. Furthermore, this review also highlights the effect of the paddle wheel design and feed frame process parameters on the tablet weight, the principal variable for measuring die filling performance.
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Affiliation(s)
- Nobel O Sierra-Vega
- Department of Chemical Engineering, University of Puerto Rico at Mayaguez, PR 00681, United States
| | - Rodolfo J Romañach
- Department of Chemistry, University of Puerto Rico at Mayaguez, PR 00681 United States
| | - Rafael Méndez
- Department of Chemical Engineering, University of Puerto Rico at Mayaguez, PR 00681, United States.
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7
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Razuc M, Grafia A, Gallo L, Ramírez-Rigo MV, Romañach RJ. Near-infrared spectroscopic applications in pharmaceutical particle technology. Drug Dev Ind Pharm 2019; 45:1565-1589. [DOI: 10.1080/03639045.2019.1641510] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- M. Razuc
- Instituto de Química del Sur (INQUISUR), Universidad Nacional del Sur (UNS)-CONICET, Bahía Blanca, Argentina
- Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina
| | - A. Grafia
- Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)- CONICET, Bahía Blanca, Argentina
| | - L. Gallo
- Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina
- Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)- CONICET, Bahía Blanca, Argentina
| | - M. V. Ramírez-Rigo
- Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina
- Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)- CONICET, Bahía Blanca, Argentina
| | - R. J. Romañach
- Department of Chemistry, Center for Structured Organic Particulate Systems, University of Puerto Rico – Mayagüez, Mayagüez, Puerto Rico
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8
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Variographic analysis: A new methodology for quality assurance of pharmaceutical blending processes. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.02.010] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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9
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Sierra-Vega NO, Sánchez-Paternina A, Maldonado N, Cárdenas V, Romañach RJ, Méndez R. In line monitoring of the powder flow behavior and drug content in a Fette 3090 feed frame at different operating conditions using Near Infrared spectroscopy. J Pharm Biomed Anal 2018; 154:384-396. [DOI: 10.1016/j.jpba.2018.03.017] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 03/06/2018] [Accepted: 03/09/2018] [Indexed: 10/17/2022]
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10
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Calvo NL, Maggio RM, Kaufman TS. Characterization of pharmaceutically relevant materials at the solid state employing chemometrics methods. J Pharm Biomed Anal 2018; 147:538-564. [DOI: 10.1016/j.jpba.2017.06.017] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 06/08/2017] [Accepted: 06/12/2017] [Indexed: 11/28/2022]
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11
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Evaluation of Analytical and Sampling Errors in the Prediction of the Active Pharmaceutical Ingredient Concentration in Blends From a Continuous Manufacturing Process. J Pharm Innov 2017. [DOI: 10.1007/s12247-017-9273-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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12
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Colón YM, Vargas J, Sánchez E, Navarro G, Romañach RJ. Assessment of Robustness for a Near-Infrared Concentration Model for Real-Time Release Testing in a Continuous Manufacturing Process. J Pharm Innov 2016. [DOI: 10.1007/s12247-016-9265-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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