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North J, Saari-Nordhaus R, Doddridge G, Seefeldt M, Young DA, Liu Y. Non-destructive Raman Method Development for Quantifying Active Pharmaceutical Ingredient in an Oral Suspension Through Plastic Dosing Syringes. AAPS PharmSciTech 2024; 25:76. [PMID: 38580881 DOI: 10.1208/s12249-024-02775-0] [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: 12/07/2023] [Accepted: 02/19/2024] [Indexed: 04/07/2024] Open
Abstract
For liquid drug products, e.g., solutions or suspensions for oral or parenteral dosing, stability needs to be demonstrated in primary packaging during storage and in dosing devices during in-use periods per quality guidelines from the International Conference on Harmonisation (ICH) and the European Agency for the Evaluation of Medicinal Products (EMEA). One aspect of stability testing for liquid drug products is in-use stability, which typically includes transferring the liquid samples into another container for further sample preparation with extraction diluent and necessary agitation. Samples are then analyzed with traditional chromatography methods, which are laborious, prone to human errors, and time-consuming, especially when this process needs to be repeated multiple times during storage and in-use periods. Being able to analyze the liquid samples non-destructively would significantly improve testing efficiency. We investigated different Raman techniques, including transmission Raman (TRS) and back scatter Raman with a non-contact optic (NCO) probe, as alternative non-destructive tools to the UHPLC method for API quantitation in in-use liquid samples pulled into plastic dosing syringes. The linearity of the chemometric methods for these two techniques was demonstrated by cross-validation sample sets at three levels over an API concentration range of 60 to 80 mg/mL. The accuracy of the chemometric models was demonstrated by the accurate prediction of the API concentrations in independent samples from four different pilot plant batches manufactured at different sites. Both techniques were successful in measuring a signal through a plastic oral dosing syringe, and predicting the suspension API concentration to within 4% of the UHPLC-measured value. For future work, there are opportunities to improve the methodology by exploring additional probes or to expand the range of applications by using different sample presentations (such as prefilled syringes) or formulation matrices for solutions and suspensions.
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Affiliation(s)
- Jacquelyn North
- Research & Development, AbbVie Inc, 1 N Waukegan Road, North Chicago, IL, 60064, USA
| | | | - Gregory Doddridge
- Research & Development, AbbVie Inc, 1 N Waukegan Road, North Chicago, IL, 60064, USA.
| | - Madeline Seefeldt
- Research & Development, AbbVie Inc, 1 N Waukegan Road, North Chicago, IL, 60064, USA
| | - Daniel A Young
- Research & Development, AbbVie Inc, 1 N Waukegan Road, North Chicago, IL, 60064, USA
| | - Yemin Liu
- Research & Development, AbbVie Inc, 1 N Waukegan Road, North Chicago, IL, 60064, USA.
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2
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Ohashi R, Koide T, Fukami T. Effects of wet granulation process variables on the quantitative assay model of transmission Raman spectroscopy for pharmaceutical tablets. Eur J Pharm Biopharm 2023; 191:276-289. [PMID: 37714414 DOI: 10.1016/j.ejpb.2023.09.009] [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: 08/03/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023]
Abstract
Transmission Raman spectroscopy (TRS) is a process analytical technology tool for nondestructive analysis of drug content in tablets. Although wet granulation is the most used tablet manufacturing method, most TRS studies have focused on tablets manufactured via direct compression. The effects of upstream process parameter variations, such as granulation, on the prediction performance of TRS quantitative models are unknown. We evaluated the effects of process parameter variations during granulation on the prediction performance of the TRS quantitative model. Tablets with a drug concentration of 1%w/w were used. We developed PLS calibration models for the drug concentration range of 70-130% label claims. Subsequently, we predicted the drug content of the tablets with different granulation parameters. The results of our study demonstrate that the variation in the predicted recovery due to the variation in granulation parameters was practically acceptable. The calibration model showed a good prediction performance for tablets manufactured at different granulation scales and thicknesses. Therefore, we conclude that TRS quantitative models are robust to variations in upstream processes, such as granulation and downstream variations in tableting parameters. These results suggest that TRS is a versatile non-destructive quantitative analysis method that can be applied in tablet manufacturing.
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Affiliation(s)
- Ryo Ohashi
- Department of Molecular Pharmaceutics, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo 204-8588 Japan; Formulation R&D Laboratory, R&D Division, SHIONOGI & CO., LTD., Hyogo 660-0813, Japan.
| | - Tatsuo Koide
- Division of Drugs, National Institute of Health Sciences, Tonomachi, Kawasaki-ku, Kawasaki 210-9501, Japan
| | - Toshiro Fukami
- Department of Molecular Pharmaceutics, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo 204-8588 Japan
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3
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Razvi SZ, Ma S, Zhong Q, Muliadi A, Shi ZP. Phase-appropriate Application of Process Analytical Technology for Early Pharmaceutical Development of Oral Solid Dosage Forms-the Case Study of Uniformity Screening of Dosage Units and Blends. AAPS J 2023; 25:90. [PMID: 37715005 DOI: 10.1208/s12248-023-00854-x] [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: 05/10/2023] [Accepted: 08/23/2023] [Indexed: 09/17/2023] Open
Abstract
Process analytical technology (PAT) in late-stage drug product development is typically used for real-time process monitoring, in-process control, and real-time release testing. In early research and development (R&D), PAT usage is limited as the manufacturing scale is relatively small with frequent changes and only a few batches are produced on an annual basis. However, process understanding is critical at early R&D in order to identify process and formulation boundaries, so PAT applications could be particularly useful in early-stage R&D. For oral solid dosage form, conventional HPLC-based content uniformity (CU) methods with sampling of 3 tablets per stratified sampling location in early R&D are typically not sufficient to identify these manufacturing process boundaries and temporal profile. Here, we report a screening CU method based on a multivariate model using transmission Raman spectroscopy (TRS) data on a phase-appropriate calibration set of only 16 tablets. This initial model was used for multiple pre-GMP development batches to provide critical information about blend uniformity and content uniformity (CU). In this work, the precision of the TRS method was evaluated; multiple spectral preprocessing approaches were compared regarding their effects on measurement precision as well as their ability to mitigate the photo bleaching effects during precision experiments. Overall, the TRS-based CU method was much faster than a traditional HPLC-based method allowing a much larger number of tablets to be screened. This larger number of analyzed tablets enabled the processes boundaries and temporal changes in CU to be identified while providing proper statistical assurance on product quality.
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Affiliation(s)
- Sayyeda Zeenat Razvi
- Small Molecule Pharmaceutical Sciences, Genentech Inc, 1 DNA Way, South San Francisco, California, 94080, USA.
| | - Shengli Ma
- Small Molecule Pharmaceutical Sciences, Genentech Inc, 1 DNA Way, South San Francisco, California, 94080, USA
| | - Qiqing Zhong
- Small Molecule Pharmaceutical Sciences, Genentech Inc, 1 DNA Way, South San Francisco, California, 94080, USA
| | - Ariel Muliadi
- Small Molecule Pharmaceutical Sciences, Genentech Inc, 1 DNA Way, South San Francisco, California, 94080, USA
| | - Zhenqi Pete Shi
- Small Molecule Pharmaceutical Sciences, Genentech Inc, 1 DNA Way, South San Francisco, California, 94080, USA.
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4
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Jørgensen AK, Ong JJ, Parhizkar M, Goyanes A, Basit AW. Advancing non-destructive analysis of 3D printed medicines. Trends Pharmacol Sci 2023; 44:379-393. [PMID: 37100732 DOI: 10.1016/j.tips.2023.03.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 03/22/2023] [Accepted: 03/22/2023] [Indexed: 04/28/2023]
Abstract
Pharmaceutical 3D printing (3DP) has attracted significant interest over the past decade for its ability to produce personalised medicines on demand. However, current quality control (QC) requirements for traditional large-scale pharmaceutical manufacturing are irreconcilable with the production offered by 3DP. The US Food and Drug Administration (FDA) and the UK Medicines and Healthcare Products Regulatory Agency (MHRA) have recently published documents supporting the implementation of 3DP for point-of-care (PoC) manufacturing along with regulatory hurdles. The importance of process analytical technology (PAT) and non-destructive analytical tools in translating pharmaceutical 3DP has experienced a surge in recognition. This review seeks to highlight the most recent research on non-destructive pharmaceutical 3DP analysis, while also proposing plausible QC systems that complement the pharmaceutical 3DP workflow. In closing, outstanding challenges in integrating these analytical tools into pharmaceutical 3DP workflows are discussed.
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Affiliation(s)
- Anna Kirstine Jørgensen
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK
| | - Jun Jie Ong
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK
| | - Maryam Parhizkar
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK
| | - Alvaro Goyanes
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Instituto de Materiales (iMATUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain; FabRx Ltd., Henwood House, Henwood, Ashford TN24 8DH, UK; FabRx Artificial Intelligence, Carretera de Escairón 14, 27543 Currelos (O Saviñao) Lugo, Spain.
| | - Abdul W Basit
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FabRx Ltd., Henwood House, Henwood, Ashford TN24 8DH, UK; FabRx Artificial Intelligence, Carretera de Escairón 14, 27543 Currelos (O Saviñao) Lugo, Spain.
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5
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Zeng Q, Wang L, Wu S, Fang G, Zhao M, Li Z, Li W. Research progress on the application of spectral imaging technology in pharmaceutical tablet analysis. Int J Pharm 2022; 625:122100. [PMID: 35961418 DOI: 10.1016/j.ijpharm.2022.122100] [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: 05/23/2022] [Revised: 07/23/2022] [Accepted: 08/05/2022] [Indexed: 11/30/2022]
Abstract
Tablet as a traditional dosage form in pharmacy has the advantages of accurate dosage, ideal dissolution and bioavailability, convenient to carry and transport. The most concerned tablet quality attributes include active pharmaceutical ingredient (API) contents and polymorphic forms, components distribution, hardness, density, coating state, dissolution behavior, etc., which greatly affect the bioavailability and consistency of tablet final products. In the pharmaceutical industry, there are usually industry standard methods to analyze the tablet quality attributes. However, these methods are generally time-consuming and laborious, and lack a comprehensive understanding of the properties of tablets, such as spatial information. In recent years, spectral imaging technology makes up for the shortcomings of traditional tablet analysis methods because it provides non-contact and rich information in time and space. As a promising technology to replace the traditional tablet analysis methods, it has attracted more and more attention. The present paper briefly describes a series of spectral imaging techniques and their applications in tablet analysis. Finally, the possible application prospect of this technology and the deficiencies that need to be improved were also prospected.
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Affiliation(s)
- Qi Zeng
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; State key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Long Wang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; State key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Sijun Wu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; State key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Guangpu Fang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Mingwei Zhao
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Zheng Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; State key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Wenlong Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; State key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China.
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6
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Zeng Q, Wang L, Wu S, Fang G, Liu H, Li Z, Hu Y, Li W. Dissolution profiles prediction of sinomenine hydrochloride sustained-release tablets using Raman mapping technique. Int J Pharm 2022; 620:121743. [DOI: 10.1016/j.ijpharm.2022.121743] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 03/30/2022] [Accepted: 04/08/2022] [Indexed: 10/18/2022]
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Zhao X, Wang N, Zhu M, Qiu X, Sun S, Liu Y, Zhao T, Yao J, Shan G. Application of Transmission Raman Spectroscopy in Combination with Partial Least-Squares (PLS) for the Fast Quantification of Paracetamol. Molecules 2022; 27:molecules27051707. [PMID: 35268808 PMCID: PMC8911717 DOI: 10.3390/molecules27051707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/02/2022] [Accepted: 03/03/2022] [Indexed: 11/16/2022] Open
Abstract
In recent years, transmission Raman spectroscopy (TRS) has emerged as a potent new tool for rapid, nondestructive quantitation in pharmaceutical manufacturing. In order to expand the applicability of TRS and enhance its use in product quality monitoring during drug production, we aimed, in the present study, to apply partial least-squares (PLS) approaches to build a model consisting of 150 handmade tablets and covering 15 levels through the use of a multifactor orthogonal design of experiment (DOE), which was used to predict concentrations of validation tablets made by hand. The difference between results according to HPLC and TRS were negligible. The model was used to predict the active pharmaceutical ingredient (API) content in four random commercial paracetamol tablets, and corrected with the spectra of the commercial tablets to obtain four corresponding models. The results show that the content relative error in the model’s predictions after correction with commercially available tablets was significantly lower than that before correction. The corrected model was used to make predictions for 20 tablets from the brand Panadol. Compared with the HPLC results, the prediction relative error was basically less than 4.00%, and the relative standard deviation (RSD) of the content was 0.86%.
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Affiliation(s)
- Xuejia Zhao
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1, Tian Tan Xi Li, Beijing 100050, China; (X.Z.); (M.Z.); (X.Q.); (S.S.); (Y.L.); (T.Z.)
| | - Ning Wang
- College of Life Science and Technology, Beijing University of Chemical Technology, North Third Ring Road 15, Beijing 100029, China;
| | - Minghui Zhu
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1, Tian Tan Xi Li, Beijing 100050, China; (X.Z.); (M.Z.); (X.Q.); (S.S.); (Y.L.); (T.Z.)
| | - Xiaodan Qiu
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1, Tian Tan Xi Li, Beijing 100050, China; (X.Z.); (M.Z.); (X.Q.); (S.S.); (Y.L.); (T.Z.)
| | - Shengnan Sun
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1, Tian Tan Xi Li, Beijing 100050, China; (X.Z.); (M.Z.); (X.Q.); (S.S.); (Y.L.); (T.Z.)
| | - Yitong Liu
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1, Tian Tan Xi Li, Beijing 100050, China; (X.Z.); (M.Z.); (X.Q.); (S.S.); (Y.L.); (T.Z.)
| | - Ting Zhao
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1, Tian Tan Xi Li, Beijing 100050, China; (X.Z.); (M.Z.); (X.Q.); (S.S.); (Y.L.); (T.Z.)
| | - Jing Yao
- China National Institutes for Food and Drug Control, No. 2, Tian Tan Xi Li, Beijing 100050, China
- Correspondence: (J.Y.); (G.S.)
| | - Guangzhi Shan
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1, Tian Tan Xi Li, Beijing 100050, China; (X.Z.); (M.Z.); (X.Q.); (S.S.); (Y.L.); (T.Z.)
- Correspondence: (J.Y.); (G.S.)
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8
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Ohashi R, Fujii A, Fukui K, Koide T, Fukami T. Non-destructive quantitative analysis of pharmaceutical ointment by transmission Raman spectroscopy. Eur J Pharm Sci 2021; 169:106095. [PMID: 34906685 DOI: 10.1016/j.ejps.2021.106095] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 11/24/2021] [Accepted: 12/09/2021] [Indexed: 11/18/2022]
Abstract
Transmission Raman spectroscopy was used to develop a non-destructive quantitative analytical model for the assay of a crystal dispersion-type ointment containing acyclovir as a model drug with a concentration of 3% w/w. The obtained Raman spectra were pre-processed by applying multiplicative scatter correction, standard normal variate, and first or second derivative by the Savitzky-Golay method to optimize the partial least squares (PLS) regression model. The optimized PLS model showed good prediction performance for 85%, 100%, and 115% label claims, with average recovery values of 100.7%, 99.3%, and 99.8%, respectively. Although the material properties and manufacturing method of acyclovir and white petrolatum were expected to be different from those of the calibration set, the mean recovery value of the commercial product was 104.2%. These results indicate that transmission Raman spectroscopy is a useful process analytical technology tool for product development and quality control of a crystal dispersion-type ointment with low drug concentration.
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Affiliation(s)
- Ryo Ohashi
- Department of Molecular Pharmaceutics, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo 204-8588 Japan; Formulation R&D Laboratory, CMC R&D Division, SHIONOGI & CO., LTD., Hyogo 660-0813, Japan.
| | - Aria Fujii
- Department of Molecular Pharmaceutics, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo 204-8588 Japan.
| | - Kanako Fukui
- Department of Molecular Pharmaceutics, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo 204-8588 Japan.
| | - Tatsuo Koide
- Division of Drugs, National Institute of Health Sciences, Tonomachi, Kawasaki-ku, Kawasaki, 210-9501, Japan.
| | - Toshiro Fukami
- Department of Molecular Pharmaceutics, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo 204-8588 Japan.
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Belay NF, Busche S, Manici V, Shaukat M, Arndt SO, Schmidt C. Evaluation of Transmission Raman spectroscopy and NIR Hyperspectral Imaging for the assessment of content uniformity in solid oral dosage forms ✰. Eur J Pharm Sci 2021; 166:105963. [PMID: 34352284 DOI: 10.1016/j.ejps.2021.105963] [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: 11/23/2020] [Revised: 07/14/2021] [Accepted: 07/31/2021] [Indexed: 11/24/2022]
Abstract
PURPOSE The objective of the present study was to explore and compare fast and non-destructive Transmission Raman Spectroscopy (TRS) and Near Infrared Hyperspectral imaging (NIR HSI) for the development of predictive quantitative methods to determine content uniformity (CU) of tablets. METHODS A set of single Active Pharmaceutical Ingredients (API) tablets with nine concentration levels of caffeine ranging from 12.75%w/w to 17.75%w/w and another set of double API tablets with five concentration levels of model API A* (5.25%w/w - 9.25%w/w) and caffeine (7%w/w - 13%w/w) were prepared. Chemometric prediction models were developed using partial least square (PLS 1) and later tested using a test set for both single and double API tablets. RESULTS Calibration PLS1 models were developed for both single and double APIs using a combination of S-G 1st derivative and SNV data pre-processing steps that offer an optimal model performance with the lowest cross-validation error and bias. The root mean square error of prediction (RMSEP) for the PLS1 model for single API caffeine tablets using TRS and NIR HSI was 0.27% and 0.36% respectively. The RMSEP for the PLS1 models built using TRS for the double API tablets was 0.29% for API A and 0.34% for caffeine. Similarly, for the NIR HIS prediction models the RMSEP was 0.43% for API A and 0.56% for caffeine. CONCLUSION Overall TRS presented a 25-30% more accurate prediction capability compared to NIR HSI in this specific sample sets. Nevertheless, both TRS ad NIR HSI possess the potential to be employed as rapid, nondestructive techniques to replace classical wet- chemistry methods for at- or off-line determination of tablet CU.
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Affiliation(s)
| | - Stefan Busche
- Merck KGaA, Frankfurter Straße 250, 64293 Darmstadt, Germany.
| | | | - Manuela Shaukat
- Merck KGaA, Frankfurter Straße 250, 64293 Darmstadt, Germany
| | | | - Carsten Schmidt
- Merck KGaA, Frankfurter Straße 250, 64293 Darmstadt, Germany
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Liu Y, Doddi J, Zheng Y, Ho V, Pheil M, Shi Y. Transmission Raman Spectroscopic Quantification of Active Pharmaceutical Ingredient in Coated Tablets of Hot-Melt Extruded Amorphous Solid Dispersion. APPLIED SPECTROSCOPY 2020; 74:108-115. [PMID: 31617385 DOI: 10.1177/0003702819884994] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Transmission Raman spectroscopy is an emerging technique, capable of quantitative analysis of drug products nondestructively using a multivariate data analysis approach. We developed and validated a chemometric method to quantify the active pharmaceutical ingredient in coated tablets of hot-melt extruded amorphous solid dispersion. A partial least squares regression (PLSR) model was developed and validated based on transmission Raman spectra data collected from coated tablet samples with variations in the content of active pharmaceutical ingredient, excipients, water content, a key oxidative degradant, milled extrudate particle size distribution, and tablet hardness. The method was proven to be accurate, linear, specific, and robust. Our work demonstrates that transmission Raman spectroscopy (TRS) is a viable, cost-effective, secondary method to high-performance liquid chromatography (HPLC) for quantitation of active pharmaceutical ingredient (API) in coated tablets of hot-melt extruded amorphous solid dispersion.
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Affiliation(s)
- Yemin Liu
- AbbVie Inc., Research and Development, North Chicago, USA
| | - Jayanth Doddi
- AbbVie Inc., Research and Development, North Chicago, USA
| | - Yanbing Zheng
- AbbVie Inc., Research and Development, North Chicago, USA
| | - Vivien Ho
- AbbVie Inc., Research and Development, North Chicago, USA
| | - Maurice Pheil
- AbbVie Inc., Research and Development, North Chicago, USA
| | - Yi Shi
- AbbVie Inc., Research and Development, North Chicago, USA
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Villaumié J, Andrews D, Geentjens K, Igne B, McGeorge G, Owen A, Pedge N, Woodward V. Analytical Method Development Using Transmission Raman Spectroscopy for Pharmaceutical Assays and Compliance with Regulatory Guidelines—Part II: Practical Implementation Considerations. J Pharm Innov 2018. [DOI: 10.1007/s12247-018-9350-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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12
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Analytical Method Development Using Transmission Raman Spectroscopy for Pharmaceutical Assays and Compliance with Regulatory Guidelines—Part I: Transmission Raman Spectroscopy and Method Development. J Pharm Innov 2018. [DOI: 10.1007/s12247-018-9311-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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13
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Kuhar N, Sil S, Verma T, Umapathy S. Challenges in application of Raman spectroscopy to biology and materials. RSC Adv 2018; 8:25888-25908. [PMID: 35541973 PMCID: PMC9083091 DOI: 10.1039/c8ra04491k] [Citation(s) in RCA: 124] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 07/09/2018] [Indexed: 12/14/2022] Open
Abstract
Raman spectroscopy has become an essential tool for chemists, physicists, biologists and materials scientists. In this article, we present the challenges in unravelling the molecule-specific Raman spectral signatures of different biomolecules like proteins, nucleic acids, lipids and carbohydrates based on the review of our work and the current trends in these areas. We also show how Raman spectroscopy can be used to probe the secondary and tertiary structural changes occurring during thermal denaturation of protein and lysozyme as well as more complex biological systems like bacteria. Complex biological systems like tissues, cells, blood serum etc. are also made up of such biomolecules. Using mice liver and blood serum, it is shown that different tissues yield their unique signature Raman spectra, owing to a difference in the relative composition of the biomolecules. Additionally, recent progress in Raman spectroscopy for diagnosing a multitude of diseases ranging from cancer to infection is also presented. The second part of this article focuses on applications of Raman spectroscopy to materials. As a first example, Raman spectroscopy of a melt cast explosives formulation was carried out to monitor the changes in the peaks which indicates the potential of this technique for remote process monitoring. The second example presents various modern methods of Raman spectroscopy such as spatially offset Raman spectroscopy (SORS), reflection, transmission and universal multiple angle Raman spectroscopy (UMARS) to study layered materials. Studies on chemicals/layered materials hidden in non-metallic containers using the above variants are presented. Using suitable examples, it is shown how a specific excitation or collection geometry can yield different information about the location of materials. Additionally, it is shown that UMARS imaging can also be used as an effective tool to obtain layer specific information of materials located at depths beyond a few centimeters. This paper reviews various facets of Raman spectroscopy. This encompasses biomolecule fingerprinting and conformational analysis, discrimination of healthy vs. diseased states, depth-specific information of materials and 3D Raman imaging.![]()
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Affiliation(s)
- Nikki Kuhar
- Department of Inorganic & Physical Chemistry
- Indian Institute of Science
- Bangalore
- India-560012
| | - Sanchita Sil
- Defence Bioengineering & Electromedical Laboratory
- DRDO
- Bangalore
- India-560093
| | - Taru Verma
- Centre for Biosystems Science and Engineering
- Indian Institute of Science
- Bangalore
- India-560012
| | - Siva Umapathy
- Department of Inorganic & Physical Chemistry
- Indian Institute of Science
- Bangalore
- India-560012
- Department of Instrumentation & Applied Physics
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