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Diehm J, Witting L, Kirschhöfer F, Brenner-Weiß G, Franzreb M. Micro simulated moving bed chromatography-mass spectrometry as a continuous on-line process analytical tool. Anal Bioanal Chem 2024; 416:373-386. [PMID: 37946036 PMCID: PMC10761468 DOI: 10.1007/s00216-023-05023-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/23/2023] [Accepted: 10/26/2023] [Indexed: 11/12/2023]
Abstract
Continuous manufacturing is becoming increasingly important in the (bio-)pharmaceutical industry, as more product can be produced in less time and at lower costs. In this context, there is a need for powerful continuous analytical tools. Many established off-line analytical methods, such as mass spectrometry (MS), are hardly considered for process analytical technology (PAT) applications in biopharmaceutical processes, as they are limited to at-line analysis due to the required sample preparation and the associated complexity, although they would provide a suitable technique for the assessment of a wide range of quality attributes. In this study, we investigated the applicability of a recently developed micro simulated moving bed chromatography system (µSMB) for continuous on-line sample preparation for MS. As a test case, we demonstrate the continuous on-line MS measurement of a protein solution (myoglobin) containing Tris buffer, which interferes with ESI-MS measurements, by continuously exchanging this buffer with a volatile ammonium acetate buffer suitable for MS measurements. The integration of the µSMB significantly increases MS sensitivity by removing over 98% of the buffer substances. Thus, this study demonstrates the feasibility of on-line µSMB-MS, providing a versatile PAT tool by combining the detection power of MS for various product attributes with all the advantages of continuous on-line analytics.
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Affiliation(s)
- Juliane Diehm
- Institute of Functional Interfaces, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Lennart Witting
- Institute of Functional Interfaces, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Frank Kirschhöfer
- Institute of Functional Interfaces, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Gerald Brenner-Weiß
- Institute of Functional Interfaces, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Matthias Franzreb
- Institute of Functional Interfaces, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
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Sheng H, Corcoran EB, Dance ZEX, Smith JP, Lin Z, Ordsmith V, Hamilton S, Zhuang P. Quantitative Perspective on Online Flow Reaction Profiling Using a Miniature Mass Spectrometer. Org Process Res Dev 2020. [DOI: 10.1021/acs.oprd.0c00294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Huaming Sheng
- Analytical Science, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Emily B. Corcoran
- Small Molecule Process Research & Development, Merck & Co., Inc., Boston, Massachusetts 02115, United States
| | - Zachary E. X. Dance
- Analytical Research & Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Joseph P. Smith
- Analytical Research & Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Zhihao Lin
- ACDS-PAT, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | | | - Simon Hamilton
- Analytical Research & Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Ping Zhuang
- Analytical Research & Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States
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Pan JJ, He SY, Shao JY, Li N, Gong YQ, Gong XC. Critical pharmaceutical process identification considering chemical composition, biological activity, and batch-to-batch consistency: A case study of notoginseng total saponins. CHINESE HERBAL MEDICINES 2020; 12:29-35. [PMID: 36117565 PMCID: PMC9476763 DOI: 10.1016/j.chmed.2019.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Revised: 08/04/2019] [Accepted: 09/16/2019] [Indexed: 11/19/2022] Open
Abstract
Objective Critical pharmaceutical process identification (CPPI) is an important step in the implementation of quality by design concept to traditional Chinese medicines (TCMs). Risk assessment methods are usually used in CPPI. However, risk evaluation is usually subjective. The purpose of this work is to present a more objective CPPI method. Methods A CPPI method considering chemical composition, biological activity, and batch-to-batch consistency was presented in this work. The manufacturing process of notoginseng total saponins (NTS) was investigated as an example. The changes of chemical composition, biological activity, and chemical composition consistency after main processes were measured and compared. A significant change of them indicated a critical process. Results After extraction process and chromatography process, saponin purity and chemical composition similarity remarkably increased, and saponin content variations decreased. Thrombin inhibitory activity was remarkably decreased after chromatography process. Because of the large influences on NTS quality, extraction process and chromatography process were identified to be critical processes of NTS. Conclusion Based on a comprehensive and objective examination of the role of each process, critical pharmaceutical processes can be identified. A similar method can also be applied to other TCM processes.
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Affiliation(s)
- Jing-jing Pan
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Si-yuan He
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Jing-yuan Shao
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Ning Li
- Kunming Pharmaceutical Group Co., Ltd., Kunming 650100, China
| | - Yun-qi Gong
- Kunming Pharmaceutical Group Co., Ltd., Kunming 650100, China
| | - Xing-chu Gong
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
- Corresponding author.
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Zhang Y, Cheng BCY, Zhou W, Xu B, Gao X, Qiao Y, Luo G. Improved Understanding of the High Shear Wet Granulation Process under the Paradigm of Quality by Design Using Salvia miltiorrhiza Granules. Pharmaceutics 2019; 11:E519. [PMID: 31600941 PMCID: PMC6835650 DOI: 10.3390/pharmaceutics11100519] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 09/27/2019] [Accepted: 10/06/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND High shear wet granulation (HSWG) is a shaping process for granulation that has been enhanced for application in the pharmaceutical industry. However, study of HSWG is complex and challenging due to the relatively poor understanding of HSWG, especially for sticky powder-like herbal extracts. AIM In this study, we used Salvia miltiorrhiza granules to investigate the HSWG process across different scales using quality by design (QbD) approaches. METHODS A Plackett-Burman experimental design was used to screen nine granulation factors in the HSWG process. Moreover, a quadratic polynomial regression model was established based on a Box-Behnken experimental design to optimize the granulation factors. In addition, the scale-up of HSWG was implemented based on a nucleation regime map approach. RESULTS According to the Plackett-Burman experimental design, it was found that three granulation factors, including salvia ratio, binder amount, and chopper speed, significantly affected the granule size (D50) of S. miltiorrhiza in HSWG. Furthermore, the results of the Box-Behnken experimental design and validation experiment showed that the model successfully captured the quadratic polynomial relationship between granule size and the two granulation factors of salvia ratio and binder amount. At the same experiment points, granules at all scales had similar size distribution, surface morphology, and flow properties. CONCLUSIONS These results demonstrated that rational design, screening, optimization, and scale-up of HSWG are feasible using QbD approaches. This study provides a better understanding of HSWG process under the paradigm of QbD using S. miltiorrhiza granules.
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Affiliation(s)
- Yi Zhang
- School of Chinese Material Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
| | - Brian Chi-Yan Cheng
- College of Professional and Continuing Education, Hong Kong Polytechnic University, Hong Kong 999077, China.
| | - Wenjuan Zhou
- School of Chinese Material Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
- Interdisciplinary Research Center on Multi-Omics of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102400, China.
| | - Bing Xu
- School of Chinese Material Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
- Beijing Key Laboratory for Production Process Control and Quality Evaluation of Traditional Chinese Medicine, Beijing Municipal Science & Technology Commission, Beijing 102400, China.
| | - Xiaoyan Gao
- School of Chinese Material Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
- Interdisciplinary Research Center on Multi-Omics of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102400, China.
- Beijing Key Laboratory for Production Process Control and Quality Evaluation of Traditional Chinese Medicine, Beijing Municipal Science & Technology Commission, Beijing 102400, China.
| | - Yanjiang Qiao
- School of Chinese Material Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
- Beijing Key Laboratory for Production Process Control and Quality Evaluation of Traditional Chinese Medicine, Beijing Municipal Science & Technology Commission, Beijing 102400, China.
| | - Gan Luo
- School of Chinese Material Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
- Interdisciplinary Research Center on Multi-Omics of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102400, China.
- Beijing Key Laboratory for Production Process Control and Quality Evaluation of Traditional Chinese Medicine, Beijing Municipal Science & Technology Commission, Beijing 102400, China.
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Guerra A, von Stosch M, Glassey J. Toward biotherapeutic product real-time quality monitoring. Crit Rev Biotechnol 2019; 39:289-305. [DOI: 10.1080/07388551.2018.1524362] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- André Guerra
- School of Chemical Engineering and Advanced Materials, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Moritz von Stosch
- School of Chemical Engineering and Advanced Materials, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Jarka Glassey
- School of Chemical Engineering and Advanced Materials, Newcastle University, Newcastle upon Tyne, United Kingdom
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Calhan SD, Eker ED, Sahin NO. Quality by design (QbD) and process analytical technology (PAT) applications in pharmaceutical industry. ACTA ACUST UNITED AC 2017. [DOI: 10.5155/eurjchem.8.4.430-433.1667] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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