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Simões A, Veiga F, Vitorino C. Question-based review for pharmaceutical development: An enhanced quality approach. Eur J Pharm Biopharm 2024; 195:114174. [PMID: 38160986 DOI: 10.1016/j.ejpb.2023.114174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 12/21/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
Over the last years, the pharmaceutical industry has faced real challenges regarding quality assurance. In this context, the establishment of more holistic approaches to the pharmaceutical development has been encouraged. The emergence of the Quality by Design (QbD) paradigm as systematic, scientific and risk-based methodology introduced a new concept of pharmaceutical quality. In essence, QbD can be interpreted as a strategy to maximize time and cost savings. An in-depth understanding of the formulation and manufacturing process is demanded to optimize the safety, efficacy and quality of a drug product at all stages of development. This innovative approach streamlines the pharmaceutical Research and Development (R&D) process, provides greater manufacturing flexibility and reduces regulatory burden. To assist in QbD implementation, International Conference on Harmonisation (ICH), U.S. Food and Drug Administration (FDA) and European Medicines Agency (EMA) organized and launched QbD principles in their guidance for industry, identifying key concepts and tools to design and develop a high-quality drug product. Despite the undeniable advantages of the QbD approach, and the widespread information on QbD regulatory expectations, its full implementation in the pharmaceutical field is still limited. The present review aims to establish a crosswise overview on the current application status of QbD within the framework of the ICH guidelines (ICH Q8(R2) - Q14 and ICH Q2(R2)). Moreover, it outlines the way information gathered from the QbD methodology is being harmonized in Marketing Authorization Applications (MAAs) for European market approval. This work also highlights the challenges that hinder the deployment of the QbD strategy as a standard practice.
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Affiliation(s)
- Ana Simões
- Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal; Associated Laboratory for Green Chemistry of the Network of Chemistry and Technology (LAQV/REQUIMTE), Group of Pharmaceutical Technology, Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Francisco Veiga
- Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal; Associated Laboratory for Green Chemistry of the Network of Chemistry and Technology (LAQV/REQUIMTE), Group of Pharmaceutical Technology, Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Carla Vitorino
- Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal; Coimbra Chemistry Centre, Institute of Molecular Sciences - IMS, Department of Chemistry, University of Coimbra 3004-535 Coimbra, Portugal.
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Yao Z, Nie P, Zhang X, Chen C, An Z, Wei K, Zhao J, Lv H, Niu K, Yang Y, Zou W, Yang L. Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk. Foods 2023; 12:1199. [PMID: 36981127 PMCID: PMC10048274 DOI: 10.3390/foods12061199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/28/2023] [Accepted: 03/10/2023] [Indexed: 03/14/2023] Open
Abstract
Buffalo milk is a dairy product that is considered to have a higher nutritional value compared to cow’s milk. Linoleic acid (LA) is an essential fatty acid that is important for human health. This study aimed to investigate and validate the use of Fourier transform mid-infrared spectroscopy (FT-MIR) for the quantification of the linoleic acid in buffalo milk. Three machine learning models were used to predict linoleic acid content, and random forest was employed to select the most important subset of spectra for improved model performance. The validity of the FT-MIR methods was evaluated in accordance with ICH Q2 (R1) guidelines using the accuracy profile method, and the precision, the accuracy, and the limit of quantification were determined. The results showed that Fourier transform infrared spectroscopy is a suitable technique for the analysis of linoleic acid, with a lower limit of quantification of 0.15 mg/mL milk. Our results showed that FT-MIR spectroscopy is a viable method for LA concentration analysis.
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Winck J, Daalmann M, Berghaus A, Thommes M. In-line monitoring of solid dispersion preparation in small scale extrusion based on UV-vis spectroscopy. Pharm Dev Technol 2022; 27:1009-1015. [PMID: 36331240 DOI: 10.1080/10837450.2022.2144887] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The poor solubility of a large number of active pharmaceutical ingredients (APIs) is a major challenge in pharmaceutical research. Therefore, the extrusion of amorphous solid dispersions (ASDs) is one promising approach to enhance the dissolution rate by molecularly dissolving the API in an amorphous carrier polymer. During ASD extrusion, crucial parameters as the dissolution of the API in the carrier polymer need to be monitored. Within this study, a small scale twin screw extruder was coupled with special ColVisTec UV-vis probes that are characterized by their small dimensions. This setup enables a systematic formulation design and optimization based on in-line monitoring of drug dissolution using small material quantities. In fact, sample quantities of about 5 mg were evaluated for each measurement, representing 50% of the material inside the die. The amount of undissolved drug particles was determined based on the lightness of the extrudates. It was shown that the temperature has a significant effect on the drug dissolution in the polymer. Furthermore, complete drug dissolution was shifted to lower temperatures if higher residence times were applied. Based on the courses of lightness, regime maps were modeled that specify the process conditions where ASDs are successfully manufactured.
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Affiliation(s)
- Judith Winck
- Laboratory of Solids Process Engineering, TU Dortmund University, Dortmund, Germany
| | - Marvin Daalmann
- Laboratory of Solids Process Engineering, TU Dortmund University, Dortmund, Germany
| | | | - Markus Thommes
- Laboratory of Solids Process Engineering, TU Dortmund University, Dortmund, Germany
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Park G, Kim MK, Go SH, Choi M, Jang YP. Analytical Quality by Design (AQbD) Approach to the Development of Analytical Procedures for Medicinal Plants. Plants (Basel) 2022; 11:plants11212960. [PMID: 36365413 PMCID: PMC9653622 DOI: 10.3390/plants11212960] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/25/2022] [Accepted: 10/25/2022] [Indexed: 05/14/2023]
Abstract
Scientific regulatory systems with suitable analytical methods for monitoring quality, safety, and efficacy are essential in medicinal plant drug discovery. There have been only few attempts to adopt the analytical quality by design (AQbD) strategy in medicinal plants analysis over the last few years. AQbD is a holistic method and development approach that understands analytical procedure, from risk assessment to lifecycle management. The enhanced AQbD approach reduces the time and effort necessary to develop reliable analytical methods, leads to flexible change control through the method operable design region (MODR), and lowers the out-of-specification (OOS) results. However, it is difficult to follow all the AQbD workflow steps in the field of medicinal plants analysis, such as defining the analytical target profiles (ATPs), identifying critical analytical procedure parameters (CAPPs), among others, because the complexity of chemical and biological properties in medicinal plants acts as a barrier. In this review, various applications of AQbD to medicinal plant analytical procedures are discussed. Unlike the analysis of a single compound, medicinal plant analysis is characterized by analyzing multiple components contained in biological materials, so it will be summarized by focusing on the following points: Analytical methods showing correlations within analysis parameters for the specific medicinal plant analysis, plant raw material diversity, one or more analysis targets defined for multiple phytochemicals, key analysis attributes, and analysis control strategies. In addition, the opportunities available through the use of design-based quality management techniques and the challenges that coexist are also discussed.
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Affiliation(s)
- Geonha Park
- Department of Life and Nanopharmaceutical Sciences, Graduate School, Kyung Hee University, Seoul 02447, Korea
| | - Min Kyoung Kim
- Division of Pharmacognosy, College of Pharmacy, Kyung Hee University, Seoul 02447, Korea
| | - Seung Hyeon Go
- Department of Biomedical and Pharmaceutical Sciences, Graduate School, Kyung Hee University, Seoul 02447, Korea
| | - Minsik Choi
- Department of Biomedical and Pharmaceutical Sciences, Graduate School, Kyung Hee University, Seoul 02447, Korea
| | - Young Pyo Jang
- Department of Life and Nanopharmaceutical Sciences, Graduate School, Kyung Hee University, Seoul 02447, Korea
- Department of Biomedical and Pharmaceutical Sciences, Graduate School, Kyung Hee University, Seoul 02447, Korea
- Department of Integrated Drug Development and Natural Products, Graduate School, Kyung Hee University, Seoul 02447, Korea
- Correspondence: ; Tel.: +82-2-961-9421
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Lazuardi M, Hestianah EP, Restiadi TI. Designing prototype rapid test device at qualitative performance to detect residue of tetracycline in chicken carcass. Vet World 2022; 15:1058-1065. [PMID: 35698527 PMCID: PMC9178584 DOI: 10.14202/vetworld.2022.1058-1065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 03/22/2022] [Indexed: 12/03/2022] Open
Abstract
Background and Aim: Human health problems due as a microbial resistance or tumors and cancers because consumption of the carcasses containing residues of tetracycline are main global problems in the context of fight against antimicrobial resistance phenomena. Explanation of the sustainable development goals, particularly point 3, is well recognized that all animal products for human consumption must be safe to live a healthy life. This study aimed to design a prototype of rapid test devices (RTD) based on principles of precipitate to obtain a specific color change after the process of reactions as an indicator to determine tetracycline residues in the carcass. Materials and Methods: Five samples of tetracycline-containing poultry carcasses using artificial add the tetracycline at pharmaceutics grade were examined using a prototype of a strong reaction solution for tetracycline fixation based on the concept bonded by ion Fe(III) at atom O in position atom C-1 at the ring of tetracycline and ion N+ as the functional branch of tetracycline. RTD detection was evaluated using a yellow color presentation and an absorbance spectrometric technique at a wavelength of 273 nm. Results: The following chemicals were used to create the best-fixed tetracycline residue: HCl and H2SO4 dissolved in H2O, chromatographic grade of 0.1 N and 0.5 N of HNO3, and 1% Fe (III) Cl. The RTD had a higher limit of detection (LOD) than the ultraviolet-visible spectrophotometer. Conclusion: The results of this study revealed that RTD, as constructed in this study, can be used to detect residue at LOD 44.764 mg/mL during 120 min of exposure through a light-emitting diode at 980 nm wavelength (p<0.05). The necessity for using RTD was because of the apparent limitations of conventional devices.
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Affiliation(s)
- Mochamad Lazuardi
- Veterinary-Pharmacy Science Subdivision, Faculty of Veterinary Medicine, Universitas Airlangga, Mulyorejo rd. "C" Campus Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Eka Pramyrtha Hestianah
- Veterinary Histology Subdivision, Faculty of Veterinary Medicine, Universitas Airlangga, Mulyorejo rd. "C" campus Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Tjuk Imam Restiadi
- Veterinary Reproduction Division, Faculty of Veterinary Medicine, Universitas Airlangga, Mulyorejo rd. "C" Campus Universitas Airlangga, Surabaya, 60115, Indonesia
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Mulrennan K, Munir N, Creedon L, Donovan J, Lyons JG, McAfee M. NIR-Based Intelligent Sensing of Product Yield Stress for High-Value Bioresorbable Polymer Processing. Sensors (Basel) 2022; 22:2835. [PMID: 35458820 PMCID: PMC9028237 DOI: 10.3390/s22082835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/03/2022] [Accepted: 04/04/2022] [Indexed: 06/14/2023]
Abstract
PLA (polylactide) is a bioresorbable polymer used in implantable medical and drug delivery devices. Like other bioresorbable polymers, PLA needs to be processed carefully to avoid degradation. In this work we combine in-process temperature, pressure, and NIR spectroscopy measurements with multivariate regression methods for prediction of the mechanical strength of an extruded PLA product. The potential to use such a method as an intelligent sensor for real-time quality analysis is evaluated based on regulatory guidelines for the medical device industry. It is shown that for the predictions to be robust to processing at different times and to slight changes in the processing conditions, the fusion of both NIR and conventional process sensor data is required. Partial least squares (PLS), which is the established 'soft sensing' method in the industry, performs the best of the linear methods but demonstrates poor reliability over the full range of processing conditions. Conversely, both random forest (RF) and support vector regression (SVR) show excellent performance for all criteria when used with a prior principal component (PC) dimension reduction step. While linear methods currently dominate for soft sensing of mixture concentrations in highly conservative, regulated industries such as the medical device industry, this work indicates that nonlinear methods may outperform them in the prediction of mechanical properties from complex physicochemical sensor data. The nonlinear methods show the potential to meet industrial standards for robustness, despite the relatively small amount of training data typically available in high-value material processing.
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Affiliation(s)
- Konrad Mulrennan
- Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE), Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland; (K.M.); (N.M.); (L.C.); (J.D.)
- Centre for Precision Engineering, Materials and Manufacturing (PEM Centre), Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland
| | - Nimra Munir
- Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE), Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland; (K.M.); (N.M.); (L.C.); (J.D.)
- Centre for Precision Engineering, Materials and Manufacturing (PEM Centre), Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland
| | - Leo Creedon
- Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE), Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland; (K.M.); (N.M.); (L.C.); (J.D.)
- Centre for Precision Engineering, Materials and Manufacturing (PEM Centre), Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland
| | - John Donovan
- Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE), Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland; (K.M.); (N.M.); (L.C.); (J.D.)
- Centre for Precision Engineering, Materials and Manufacturing (PEM Centre), Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland
| | - John G. Lyons
- Faculty of Engineering and Informatics, Technological University of the Shannon, Dublin Road, N37 HD68 Athlone, Ireland;
| | - Marion McAfee
- Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE), Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland; (K.M.); (N.M.); (L.C.); (J.D.)
- Centre for Precision Engineering, Materials and Manufacturing (PEM Centre), Atlantic Technological University, ATU Sligo, Ash Lane, F91 YW50 Sligo, Ireland
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Szoleczky R, Budai-Szűcs M, Csányi E, Berkó S, Tonka-Nagy P, Csóka I, Kovács A. Analytical Quality by Design (AQbD) Approach to the Development of In Vitro Release Test for Topical Hydrogel. Pharmaceutics 2022; 14:pharmaceutics14040707. [PMID: 35456541 PMCID: PMC9026520 DOI: 10.3390/pharmaceutics14040707] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/22/2022] [Accepted: 03/23/2022] [Indexed: 11/16/2022] Open
Abstract
The aim of our study was to adapt the analytical quality by design (AQbD) approach to design an effective in vitro release test method using USP apparatus IV with a semi-solid adapter (SSA) for diclofenac sodium hydrogel. The analytical target profile (ATP) of the in vitro release test and ultra-high-performance liquid chromatography were defined; the critical method attributes (CMAs) (min. 70% of the drug should be released during the test, six time points should be obtained in the linear portion of the drug release profile, and the relative standard deviation of the released drug should not be over 10%) were selected. An initial risk assessment was carried out, in which the CMAs (ionic strength, the pH of the media, membrane type, the rate of flow, the volume of the SSA (sample amount), the individual flow rate of cells, drug concentration %, and the composition of the product) were identified. With the results, it was possible to determine the high-risk parameters of the in vitro drug release studies performed with the USP apparatus IV with SSA, which were the pH of the medium and the sample weight of the product. Focusing on these parameters, we developed a test protocol for our hydrogel system.
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Affiliation(s)
- Réka Szoleczky
- Egis Pharmaceuticals Plc., Laboratory of Finished Product Analytical Development 3, Bökényföldi Str. 116-120, 1165 Budapest, Hungary; (R.S.); (P.T.-N.)
- Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, 6720 Szeged, Hungary; (M.B.-S.); (E.C.); (S.B.); (I.C.)
| | - Mária Budai-Szűcs
- Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, 6720 Szeged, Hungary; (M.B.-S.); (E.C.); (S.B.); (I.C.)
| | - Erzsébet Csányi
- Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, 6720 Szeged, Hungary; (M.B.-S.); (E.C.); (S.B.); (I.C.)
| | - Szilvia Berkó
- Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, 6720 Szeged, Hungary; (M.B.-S.); (E.C.); (S.B.); (I.C.)
| | - Péter Tonka-Nagy
- Egis Pharmaceuticals Plc., Laboratory of Finished Product Analytical Development 3, Bökényföldi Str. 116-120, 1165 Budapest, Hungary; (R.S.); (P.T.-N.)
| | - Ildikó Csóka
- Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, 6720 Szeged, Hungary; (M.B.-S.); (E.C.); (S.B.); (I.C.)
| | - Anita Kovács
- Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, 6720 Szeged, Hungary; (M.B.-S.); (E.C.); (S.B.); (I.C.)
- Correspondence:
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Affiliation(s)
- Andrew Teasdale
- Chemical Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield SK10 2NA, United Kingdom
| | - Phil J. Borman
- Director & Senior Fellow, Product Development & Supply, Medicinal Science & Technology, Pharma R&D, GlaxoSmithKline, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, United Kingdom
| | - Alexander K. Mullen
- AstraZeneca Global Sustainability and Product Environmental Sustainability, AstraZeneca, Macclesfield SK10 2NA, United Kingdom
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Salave S, Prayag K, Rana D, Amate P, Pardhe R, Jadhav A, Jindal AB, Benival D. Recent Progress in Hot Melt Extrusion Technology in Pharmaceutical Dosage Form Design. Recent Adv Drug Deliv Formul 2022; 16:170-191. [PMID: 35986528 DOI: 10.2174/2667387816666220819124605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The Hot Melt Extrusion (HME) technique has shown tremendous potential in transforming highly hydrophobic crystalline drug substances into amorphous solids without using solvents. This review explores in detail the general considerations involved in the process of HME, its applications and advances. OBJECTIVE The present review examines the physicochemical properties of polymers pertinent to the HME process. Theoretical approaches for the screening of polymers are highlighted as a part of successful HME processed drug products. The critical quality attributes associated with the process of HME are also discussed in this review. HME plays a significant role in the dosage form design, and the same has been mentioned with suitable examples. The role of HME in developing several sustained release formulations, films, and implants is described along with the research carried out in a similar domain. METHODS The method includes the collection of data from different search engines like PubMed, ScienceDirect, and SciFinder to get coverage of relevant literature for accumulating appropriate information regarding HME, its importance in pharmaceutical product development, and advanced applications. RESULTS HME is known to have advanced pharmaceutical applications in the domains related to 3D printing, nanotechnology, and PAT technology. HME-based technologies explored using Design-of- Experiments also lead to the systematic development of pharmaceutical formulations. CONCLUSION HME remains an adaptable and differentiated technique for overall formulation development.
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Affiliation(s)
- Sagar Salave
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
| | - Kedar Prayag
- Department of Pharmacy, Birla Institute of Technology and Science Pilani (BITS PILANI), Pilani, Rajasthan, India
| | - Dhwani Rana
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
| | - Prakash Amate
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
| | - Rupali Pardhe
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
| | - Ajinkya Jadhav
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
| | - Anil B Jindal
- Department of Pharmacy, Birla Institute of Technology and Science Pilani (BITS PILANI), Pilani, Rajasthan, India
| | - Derajram Benival
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
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Nerdy N, Margata L, Sembiring BM, Ginting S, Putra EL, Bakri TK. Validation of the Developed Zero-Order Infrared Spectrophotometry Method for Qualitative and Quantitative Analyses of Tranexamic Acid in Marketed Tablets. Molecules 2021; 26:6985. [PMID: 34834077 DOI: 10.3390/molecules26226985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/16/2021] [Accepted: 11/16/2021] [Indexed: 11/16/2022] Open
Abstract
(1) Background: The functional groups present in tranexamic acid allow direct infrared detection analysis. This study aimed to develop, apply, and validate an infrared spectrophotometry method used for qualitative and quantitative analyses of tranexamic acid in marketed tablets. (2) Methods: This was a descriptive observational study that consisted of several stages: determining the specific wavenumber for analysis, obtaining a simple linear regression equation, analyzing tranexamic acid both qualitatively and quantitatively, and validating the developed method for routine analysis. (3) Results: The peak analysis obtained a range of baseline wavenumbers from 1679.17 to 1295.25 cm−1. The regression equation obtained was Y = 310.8527 × X + 0.9718, and the coefficient of determination (R2) obtained was 0.9994. The tranexamic acids in marketed tablets overall have a similarity index value of more than 0.90 and overall have levels ranging between 97.0% and 103.0%. The infrared spectrophotometry method that was successfully developed, applied, and validated for qualitative and quantitative analyses of tranexamic acid in marketed tablets meets the requirements both qualitatively and quantitatively of the tablet monograph. (4) Conclusions: The infrared spectrophotometry method has been validated and meets the requirements for accuracy, precision, detection limit, quantitation limit, linearity, range, and specificity.
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Panthi VK, Jha SK, Chaubey R, Pangeni R. Formulation and development of Serratiopeptidase enteric coated tablets and analytical method validation by UV Spectroscopy. Int J Anal Chem 2021; 2021:9749474. [PMID: 34712328 DOI: 10.1155/2021/9749474] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 10/04/2021] [Accepted: 10/05/2021] [Indexed: 11/18/2022] Open
Abstract
Serratiopeptidase (SRP) is a proteolytic enzyme that emerged as one of the most potent anti-inflammatory and analgesic drugs. The purpose of the present study was to formulate and evaluate enteric-coated tablets for SRP and investigate their stability using a simple and validated analytical method by ultraviolet (UV) spectroscopy. The colloidal silicon dioxide (2.50%), sodium starch glycolate (3.44%), and crospovidone (2.50%) were used as appropriate excipients for the development of core part of tablets. To protect the prepared tablets from acidic environment in the stomach, white shellac, castor oil, HPMC phthalate 40, and ethyl cellulose were used. The seal coating and enteric coating attained were 2.75% and 6.74%, respectively. SRP was found to be linear at 265 nm in the concentration range of 25–150 µg/mL. The results revealed that our developed method was linear (R2 = 0.999), precise (RSD % = 0.133), and accurate (% recovery = 99.96–103.34). The formulated SRP tablets were found to be stable under accelerated conditions as well as under room temperature for 6 months (assay %: >97.5%). The in vitro drug release study demonstrated that enteric-coated tablets were able to restrict SRP release in both acidic environments: 0.1 N HCl and simulated gastric fluid (pH 1.2). Moreover, at 60 minutes, the formulated SRP tablets revealed 13.0% and 8.98% higher drug release in phosphate buffer (pH 6.8) and simulated intestinal fluid (pH 6.8), respectively, compared to the marketed tablet formulation. This study concludes that enteric-coated tablets of SRP with higher drug release in the intestine can be prepared and examined for their stability using validated analytical technique of UV spectroscopy.
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Munir N, Nugent M, Whitaker D, McAfee M. Machine Learning for Process Monitoring and Control of Hot-Melt Extrusion: Current State of the Art and Future Directions. Pharmaceutics 2021; 13:1432. [PMID: 34575508 DOI: 10.3390/pharmaceutics13091432] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 08/26/2021] [Accepted: 09/06/2021] [Indexed: 01/11/2023] Open
Abstract
In the last few decades, hot-melt extrusion (HME) has emerged as a rapidly growing technology in the pharmaceutical industry, due to its various advantages over other fabrication routes for drug delivery systems. After the introduction of the ‘quality by design’ (QbD) approach by the Food and Drug Administration (FDA), many research studies have focused on implementing process analytical technology (PAT), including near-infrared (NIR), Raman, and UV–Vis, coupled with various machine learning algorithms, to monitor and control the HME process in real time. This review gives a comprehensive overview of the application of machine learning algorithms for HME processes, with a focus on pharmaceutical HME applications. The main current challenges in the application of machine learning algorithms for pharmaceutical processes are discussed, with potential future directions for the industry.
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Tan DK, Davis DA, Miller DA, Williams RO, Nokhodchi A. Innovations in Thermal Processing: Hot-Melt Extrusion and KinetiSol® Dispersing. AAPS PharmSciTech 2020; 21:312. [PMID: 33161479 PMCID: PMC7649167 DOI: 10.1208/s12249-020-01854-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Accepted: 10/14/2020] [Indexed: 12/23/2022] Open
Abstract
Thermal processing has gained much interest in the pharmaceutical industry, particularly for the enhancement of solubility, bioavailability, and dissolution of active pharmaceutical ingredients (APIs) with poor aqueous solubility. Formulation scientists have developed various techniques which may include physical and chemical modifications to achieve solubility enhancement. One of the most commonly used methods for solubility enhancement is through the use of amorphous solid dispersions (ASDs). Examples of commercialized ASDs include Kaletra®, Kalydeco®, and Onmel®. Various technologies produce ASDs; some of the approaches, such as spray-drying, solvent evaporation, and lyophilization, involve the use of solvents, whereas thermal approaches often do not require solvents. Processes that do not require solvents are usually preferred, as some solvents may induce toxicity due to residual solvents and are often considered to be damaging to the environment. The purpose of this review is to provide an update on recent innovations reported for using hot-melt extrusion and KinetiSol® Dispersing technologies to formulate poorly water-soluble APIs in amorphous solid dispersions. We will address development challenges for poorly water-soluble APIs and how these two processes meet these challenges.
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Affiliation(s)
- Deck Khong Tan
- Pharmaceutics Research Laboratory, Arundel Building, School of Life Sciences, University of Sussex, Brighton, BN1 9QJ, UK
| | - Daniel A Davis
- College of Pharmacy, The University of Texas at Austin, Austin, Texas, 78712, USA
| | - Dave A Miller
- DisperSol Technologies, LLC, 111 W. Cooperative Way, Building 3, Suite 300, Georgetown, Texas, 78626, USA
| | - Robert O Williams
- College of Pharmacy, The University of Texas at Austin, Austin, Texas, 78712, USA.
| | - Ali Nokhodchi
- Pharmaceutics Research Laboratory, Arundel Building, School of Life Sciences, University of Sussex, Brighton, BN1 9QJ, UK.
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14
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Spoerk M, Koutsamanis I, Matić J, Eder S, Patricia Alva Zúñiga C, Poms J, Urich JAA, Andreína Lara García R, Nickisch K, Eggenreich K, Berghaus A, Reusch K, Relle Y, Khinast J, Paudel A. Novel Cleaning-in-Place Strategies for Pharmaceutical Hot Melt Extrusion. Pharmaceutics 2020; 12:E588. [PMID: 32599822 DOI: 10.3390/pharmaceutics12060588] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 06/17/2020] [Accepted: 06/20/2020] [Indexed: 02/06/2023] Open
Abstract
To avoid any type of cross-contamination, residue-free production equipment is of utmost importance in the pharmaceutical industry. The equipment cleaning for continuous processes such as hot melt extrusion (HME), which has recently gained popularity in pharmaceutical applications, necessitates extensive manual labour and costs. The present work tackles the HME cleaning issue by investigating two cleaning strategies following the extrusion of polymeric formulations of a hormonal drug and for a sustained release formulation of a poorly soluble drug. First, an in-line quantification by means of UV–Vis spectroscopy was successfully implemented to assess very low active pharmaceutical ingredient (API) concentrations in the extrudates during a cleaning procedure for the first time. Secondly, a novel in-situ solvent-based cleaning approach was developed and its usability was evaluated and compared to a polymer-based cleaning sequence. Comparing the in-line data to typical swab and rinse tests of the process equipment indicated that inaccessible parts of the equipment were still contaminated after the polymer-based cleaning procedure, although no API was detected in the extrudate. Nevertheless, the novel solvent-based cleaning approach proved to be suitable for removing API residue from the majority of problematic equipment parts and can potentially enable a full API cleaning-in-place of a pharmaceutical extruder for the first time.
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