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Alaoui Mansouri M, Kharbach M, Bouklouze A. Current Applications of Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) in Pharmaceutical Analysis: Review. J Pharm Sci 2024; 113:856-865. [PMID: 38072117 DOI: 10.1016/j.xphs.2023.12.004] [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: 09/06/2023] [Revised: 12/04/2023] [Accepted: 12/04/2023] [Indexed: 12/22/2023]
Abstract
The present review encompasses various applications of multivariate curve resolution- alternating least squares (MCR-ALS) as a promising data handling, which is issued by analytical techniques in pharmaceutics. It involves different sections starting from a concise theory of MCR-ALS and four detailed applications in drugs analysis. Dissolution, stability, polymorphism, and quantification are the main four detailed applications. The data generated by analytical techniques associated with MCR-ALS deals accurately with different challenges compared to other chemometric tools. For each reviewed purpose, it was explained how MCR-ALS was applied and detailed information was given. Different approaches were introduced to overcome challenges that limit the use of MCR-ALS efficiently in pharmaceutical mixture were also discussed.
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Affiliation(s)
- Mohammed Alaoui Mansouri
- Nano and Molecular Systems Research Unit, University of Oulu, FI-90014 Oulu, Finland; University of Liege (ULiege), CIRM, Vibra-Santé HUB, Laboratory of Pharmaceutical Analytical Chemistry, CHU, B36, B-4000, Liege, Belgium.
| | - Mourad Kharbach
- Research Unit of Mathematical Sciences, University of Oulu, FI-90014 Oulu, Finland.
| | - Abdelaziz Bouklouze
- Bio-Pharmaceutical and Toxicological Analysis Research Team, Laboratory of Pharmacology and Toxicology, Faculty of Medicine and Pharmacy, University Mohammed V, Rabat, Morocco
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2
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Razumtcev A, Li M, Rong J, Teng CC, Pfluegl C, Taylor LS, Simpson GJ. Label-Free Autofluorescence-Detected Mid-Infrared Photothermal Microscopy of Pharmaceutical Materials. Anal Chem 2022; 94:6512-6520. [PMID: 35446548 DOI: 10.1021/acs.analchem.1c05504] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Label-free autofluorescence-detected photothermal mid-IR (AF-PTIR) microscopy is demonstrated experimentally and applied to test the distribution of active pharmaceutical ingredients (APIs) in a mixture containing representative pharmaceutical excipients. Two-photon excited UV-fluorescence (TPE-UVF) supports autofluorescence of native aromatic moieties using visible-light optics. Thermal modulation of the fluorescence quantum yield serves to report on infrared absorption, enabling infrared spectroscopy in the fingerprint region with a spatial resolution dictated by fluorescence. AF-PTIR provides high selectivity and sensitivity in image contrast for aromatic APIs, complementing broadly applicable optical photothermal IR (O-PTIR) microscopy based on photothermal modulation of refractive index/scattering. Mapping the API distribution is critical in designing processes for powdered dosage form manufacturing, with high spatial variance potentially producing variability in both delivered dosage and product efficacy. The ubiquity of aromatic moieties within API candidates suggests the viability of AF-PTIR in combination with O-PTIR to improve the confidence of chemical classification in spatially heterogeneous dosage forms.
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Affiliation(s)
- Aleksandr Razumtcev
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Minghe Li
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Jiayue Rong
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Chu C Teng
- Pendar Technologies, 30 Spinelli Place, Cambridge, Massachusetts 02138, United States
| | - Christian Pfluegl
- Pendar Technologies, 30 Spinelli Place, Cambridge, Massachusetts 02138, United States
| | - Lynne S Taylor
- Physical and Industrial Pharmacy, Purdue University, West Lafayette, Indiana 47907, United States
| | - Garth J Simpson
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
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3
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Nishii T, Matsuzaki K, Morita S. Real-time determination and visualization of two independent quantities during a manufacturing process of pharmaceutical tablets by near-infrared hyperspectral imaging combined with multivariate analysis. Int J Pharm 2020; 590:119871. [PMID: 32980509 DOI: 10.1016/j.ijpharm.2020.119871] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/19/2020] [Accepted: 09/06/2020] [Indexed: 11/17/2022]
Abstract
During pharmaceutical manufacturing, line-scan hyperspectral imaging enables us to collect several electromagnetic spectra at each pixel in a two-dimensional plane for each tablet. The present study quantitatively determines two independent values of the active pharmaceutical ingredient (API) content in a tablet and the amount of coating on a surface of the same tablet simultaneously; the process is visualized by means of a near-infrared hyperspectral imaging (NIR-HSI) system combined with multivariate data analysis at a typical manufacturing speed of 4,000 tablets per minute. The API content and the amount of coating were controlled to be in the range 80-120% and 0-7 mg, respectively. The results of the cross validation of regression models demonstrated a coefficient of determination (R2) of 0.942, a root-mean-square error of cross validation (RMSECV) of 3.48% for the API content, an R2 of 0.939, and an RMSECV of 0.46 mg for the amount of coating. These results demonstrated that the API content in a tablet as well as the amount of coating on the surface of the same tablet can be simultaneously determined with sufficient accuracy. This technique is practically applicable to process analytical technology in pharmaceutical manufacturing.
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Affiliation(s)
- Takashi Nishii
- Department of Engineering Science, Osaka Electro-Communication University, 18-8 Hatsucho, Neyagawa 572-8530, Japan; Technology Department, Mitsubishi Tanabe Pharma Factory, 955, Koiwai, Yoshitomi-cho, Chikujo-gun, Fukuoka 871-8550, Japan
| | - Katsuhiro Matsuzaki
- Technology Department, Mitsubishi Tanabe Pharma Factory, 955, Koiwai, Yoshitomi-cho, Chikujo-gun, Fukuoka 871-8550, Japan
| | - Shigeaki Morita
- Department of Engineering Science, Osaka Electro-Communication University, 18-8 Hatsucho, Neyagawa 572-8530, Japan.
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4
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Vignaduzzo SE, Maggio RM, Olivieri AC. Why should the pharmaceutical industry claim for the implementation of second-order chemometric models-A critical review. J Pharm Biomed Anal 2019; 179:112965. [PMID: 31753531 DOI: 10.1016/j.jpba.2019.112965] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/28/2019] [Accepted: 10/30/2019] [Indexed: 12/18/2022]
Abstract
Today, pharmaceutical products are submitted to a large number of analytical tests, planned to either ensure or construct their quality. The official methods of analysis used to perform these determinations are very different in nature, but almost all demand the intensive use of reagents and manpower as major drawbacks. Thus, analytical development is continuously evolving to find fast and smart approaches. First-order chemometric models are well-known in the pharmaceutical industry, and are extensively used in many fields. Such is the impact of chemometric models that regulatory agencies include them in guidelines and compendia. However, the mention or practical application of higher-order models in the pharmaceutical industry is rather scarce. Herein, we try to bring a brief introduction to chemometric models and useful literature references, focusing on higher-order chemometric models (HOCM) applied to reduce manpower, reagent consumption, and time of analysis, without sacrificing accuracy or precision, while gaining selectivity and sensitivity. The advantages and drawbacks of HOCM are also discussed, and the comparison to first-order chemometric models is also analyzed. Along the work, HOCM are evidenced as a powerful tool for the pharmaceutical industry; moreover, its implementation is shown during several steps of production, such as identification, purity test and assay, and other applications as homogeneity of API distribution, Process Analytical Technology (PAT), Quality by Design (QbD) or natural product fingerprinting. Among these topics, qualitative and quantitative applications were covered. Experimental approaches of chemometrics coupled to several analytical techniques such as UV-vis, fluorescence and vibrational spectroscopies (NIR, MIR and Raman), and other techniques as hyphenated-chromatography and electrochemical techniques applied to production and analysis are discussed throughout this work.
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Affiliation(s)
- Silvana E Vignaduzzo
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario and Instituto de Química Rosario (IQUIR, CONICET-UNR), Suipacha 531, Rosario S2002LRK, Argentina
| | - Rubén M Maggio
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario and Instituto de Química Rosario (IQUIR, CONICET-UNR), Suipacha 531, Rosario S2002LRK, Argentina.
| | - Alejandro C Olivieri
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario and Instituto de Química Rosario (IQUIR, CONICET-UNR), Suipacha 531, Rosario S2002LRK, Argentina.
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5
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Ma L, Zhou L, Xu M, Huang X, Zhang Q, Dai S, Qiao Y, Wu Z. Investigation of the distributional homogeneity on chlorpheniramine maleate tablets using NIR-CI. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 204:783-790. [PMID: 30096731 DOI: 10.1016/j.saa.2018.06.081] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2018] [Revised: 06/19/2018] [Accepted: 06/21/2018] [Indexed: 06/08/2023]
Abstract
Homogeneity is the basic element of pharmaceutical analysis. Distributional Homogeneity Index (DHI) was proposed to assess the distributional homogeneity of commercial chlorpheniramine maleate (CPM) tablets. Furthermore, the divergence value of DHI value from expectation DHI (value = 1) was calculated to obtain the CPM distributional homogeneity. The distribution of commercial CPM tablets from six brands was successfully visualized using near infrared chemical imaging (NIR-CI) coupled with characteristic wavenumber method and binary image. Besides, content homogeneity of CPM was obtained through calculating the proportion of white region in the binary image. The result demonstrated that the distributional homogeneity of brand 4 was to be the best among all the brands, following by brand 2, brand 3, brand 5, brand 6 and brand 1. Furthermore, the sequence of the content uniformity was different from the distributional homogeneity, which demonstrated that content uniformity could not represent the distributional homogeneity. This work was a significant method guideline to assess the distributional homogeneity in pharmaceutical field.
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Affiliation(s)
- Lijuan Ma
- Beijing University of Chinese Medicine, 100102, China; Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing 100102, China; Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing 100102, China
| | - Luwei Zhou
- Beijing University of Chinese Medicine, 100102, China; Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing 100102, China; Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing 100102, China
| | - Manfei Xu
- Beijing University of Chinese Medicine, 100102, China; Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing 100102, China; Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing 100102, China
| | - Xingguo Huang
- Beijing University of Chinese Medicine, 100102, China; Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing 100102, China; Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing 100102, China
| | - Qiao Zhang
- Beijing University of Chinese Medicine, 100102, China; Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing 100102, China; Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing 100102, China
| | - Shengyun Dai
- Beijing University of Chinese Medicine, 100102, China; Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing 100102, China; Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing 100102, China
| | - Yanjiang Qiao
- Beijing University of Chinese Medicine, 100102, China; Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing 100102, China; Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing 100102, China
| | - Zhisheng Wu
- Beijing University of Chinese Medicine, 100102, China; Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing 100102, China; Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing 100102, China.
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6
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Pasquini C. Near infrared spectroscopy: A mature analytical technique with new perspectives – A review. Anal Chim Acta 2018; 1026:8-36. [DOI: 10.1016/j.aca.2018.04.004] [Citation(s) in RCA: 363] [Impact Index Per Article: 60.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Revised: 04/05/2018] [Accepted: 04/06/2018] [Indexed: 12/19/2022]
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7
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Kandpal LM, Tewari J, Tran K, Quan E, Gopinathan N, Cho B. Hyperspectral imaging sensor for optimization of small molecule formulations. ACTA ACUST UNITED AC 2018. [DOI: 10.1002/mds3.10006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Lalit Mohan Kandpal
- Department of Biosystems Machinery Engineering College of Agricultural and Life Science Chungnam National University Daejeon Korea
| | | | - Kenny Tran
- Formulation Development Biogen Cambridge Massachusetts
| | - Ernie Quan
- Formulation Development Biogen Cambridge Massachusetts
| | | | - Byoung‐Kwan Cho
- Department of Biosystems Machinery Engineering College of Agricultural and Life Science Chungnam National University Daejeon Korea
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8
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Ewing AV, Kazarian SG. Recent advances in the applications of vibrational spectroscopic imaging and mapping to pharmaceutical formulations. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 197:10-29. [PMID: 29290567 DOI: 10.1016/j.saa.2017.12.055] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 12/13/2017] [Accepted: 12/19/2017] [Indexed: 06/07/2023]
Abstract
Vibrational spectroscopic imaging and mapping approaches have continued in their development and applications for the analysis of pharmaceutical formulations. Obtaining spatially resolved chemical information about the distribution of different components within pharmaceutical formulations is integral for improving the understanding and quality of final drug products. This review aims to summarise some key advances of these technologies over recent years, primarily since 2010. An overview of FTIR, NIR, terahertz spectroscopic imaging and Raman mapping will be presented to give a perspective of the current state-of-the-art of these techniques for studying pharmaceutical samples. This will include their application to reveal spatial information of components that reveals molecular insight of polymorphic or structural changes, behaviour of formulations during dissolution experiments, uniformity of materials and detection of counterfeit products. Furthermore, new advancements will be presented that demonstrate the continuing novel applications of spectroscopic imaging and mapping, namely in FTIR spectroscopy, for studies of microfluidic devices. Whilst much of the recently developed work has been reported by academic groups, examples of the potential impacts of utilising these imaging and mapping technologies to support industrial applications have also been reviewed.
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Affiliation(s)
- Andrew V Ewing
- Imperial College London, Department of Chemical Engineering, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - Sergei G Kazarian
- Imperial College London, Department of Chemical Engineering, South Kensington Campus, London SW7 2AZ, United Kingdom.
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9
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Brouckaert D, De Meyer L, Vanbillemont B, Van Bockstal PJ, Lammens J, Mortier S, Corver J, Vervaet C, Nopens I, De Beer T. Potential of Near-Infrared Chemical Imaging as Process Analytical Technology Tool for Continuous Freeze-Drying. Anal Chem 2018. [DOI: 10.1021/acs.analchem.7b03647] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Davinia Brouckaert
- Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Laurens De Meyer
- Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Brecht Vanbillemont
- Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Pieter-Jan Van Bockstal
- Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Joris Lammens
- Laboratory of Pharmaceutical Technology, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Séverine Mortier
- Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
- BIOMATH, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | - Jos Corver
- RheaVita, High Tech Campus 9, NL 5656 AE Eindhoven, The Netherlands
| | - Chris Vervaet
- Laboratory of Pharmaceutical Technology, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Ingmar Nopens
- BIOMATH, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | - Thomas De Beer
- Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
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10
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Novikova A, Markl D, Zeitler JA, Rades T, Leopold CS. A non-destructive method for quality control of the pellet distribution within a MUPS tablet by terahertz pulsed imaging. Eur J Pharm Sci 2018; 111:549-555. [DOI: 10.1016/j.ejps.2017.10.029] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2017] [Revised: 10/02/2017] [Accepted: 10/19/2017] [Indexed: 10/18/2022]
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11
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Scherholz ML, Wan B, McGeorge G. A Rational Analysis of Uniformity Risk for Agglomerated Drug Substance Using NIR Chemical Imaging. AAPS PharmSciTech 2017; 18:432-440. [PMID: 27052406 DOI: 10.1208/s12249-016-0523-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 03/24/2016] [Indexed: 11/30/2022] Open
Abstract
Early risk detection and quick diagnosis of manufacturing challenges are necessary to support the accelerated development pace of drug product in the current competitive environment. Analytical tools, such as near-infrared (NIR) chemical imaging (CI), can be employed for alerting drug substance uniformity risks in intermediates and the final product of solid dosage forms. In this particular study, the ability to characterize the behavior of agglomerated drug substance throughout process development was enabled by NIR CI to identify uniformity risks with small sample sizes and short turnaround time. Using NIR chemical imaging, the drug substance distribution and cluster size in all intermediates were visualized throughout the drug product process. NIR CI enabled rapid identification of the key unit operations that produced the greatest reduction in cluster size for enhanced distribution of the drug substance. The comil acted as a high shear mixing step to disperse soft lumps prior to roller compaction. Shear forces or pressure during roller compaction was sufficient to break down and disperse the agglomerates further. Ultimately, the process was robust against a range of drug substance input properties such that the uniformity of the final blend was consistently achieved and the agglomerated drug substance had no risks to the drug product process.
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12
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Multispectral UV imaging for surface analysis of MUPS tablets with special focus on the pellet distribution. Int J Pharm 2016; 515:374-383. [DOI: 10.1016/j.ijpharm.2016.09.087] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 09/27/2016] [Accepted: 09/30/2016] [Indexed: 11/19/2022]
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13
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França LDM, Pimentel MF, Simões SDS, Grangeiro S, Prats-Montalbán JM, Ferrer A. NIR hyperspectral imaging to evaluate degradation in captopril commercial tablets. Eur J Pharm Biopharm 2016; 104:180-8. [PMID: 27163244 DOI: 10.1016/j.ejpb.2016.05.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 05/03/2016] [Indexed: 10/21/2022]
Abstract
Pharmaceutical quality control is important for improving the effectiveness, purity and safety of drugs, as well as for the prevention or control of drug degradation. In the present work, near infrared hyperspectral images (HSI-NIR) of tablets with different expiration dates were employed to evaluate the degradation of captopril into captopril disulfide in different layers, on the top and on the bottom surfaces of the tablets. Multivariate curve resolution (MCR) models were used to extract the concentration distribution maps from the hyperspectral images. Afterward, multivariate image techniques were applied to the concentration distribution maps (CDMs), to extract features and build models relating the main characteristics of the images to their corresponding manufacturing dates. Resolution methods followed by extracting features were able to estimate the tablet manufacture date with a prediction error of 120days. The model developed could be useful to evaluate whether a sample shows a degradation pattern consistent with the date of manufacturing or to detect abnormal behaviors in the natural degradation process of the sample. The information provided by the HIS-NIR is important for the development of the process (QbD), looking inside the formulation, revealing the behavior of the active pharmaceutical ingredient (API) during the product's shelf life.
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Affiliation(s)
- Leandro de Moura França
- Departamento de Química Fundamental, Universidade Federal de Pernambuco, Prof. Moraes Rego, 1235, Cidade Universitária, Recife, Pernambuco 50670-901, Brazil.
| | - Maria Fernanda Pimentel
- Departamento de Engenharia Química, Universidade Federal de Pernambuco, Av. Artur de Sá, S/N, Cidade Universitária, Recife, Pernambuco 50740-521, Brazil.
| | - Simone da Silva Simões
- R. Baraúnas, Universidade Estadual da Paraíba, Campina Grande, Paraíba CEP: 58429-500, Brazil.
| | - Severino Grangeiro
- Largo de Dois Irmãos, 1117, Laboratório Farmacêutico do Estado de Pernambuco Miguel Arraes, Recife, Pernambuco 52171-010, Brazil.
| | - José M Prats-Montalbán
- Universitat Politècnica de València, Camino de Vera s/n, Edificio 7A, 46022 Valencia, Spain.
| | - Alberto Ferrer
- Universitat Politècnica de València, Camino de Vera s/n, Edificio 7A, 46022 Valencia, Spain.
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14
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Klukkert M, Wu JX, Rantanen J, Carstensen JM, Rades T, Leopold CS. Multispectral UV imaging for fast and non-destructive quality control of chemical and physical tablet attributes. Eur J Pharm Sci 2015; 90:85-95. [PMID: 26657202 DOI: 10.1016/j.ejps.2015.12.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2015] [Revised: 10/23/2015] [Accepted: 12/03/2015] [Indexed: 11/19/2022]
Abstract
Monitoring of tablet quality attributes in direct vicinity of the production process requires analytical techniques that allow fast, non-destructive, and accurate tablet characterization. The overall objective of this study was to investigate the applicability of multispectral UV imaging as a reliable, rapid technique for estimation of the tablet API content and tablet hardness, as well as determination of tablet intactness and the tablet surface density profile. One of the aims was to establish an image analysis approach based on multivariate image analysis and pattern recognition to evaluate the potential of UV imaging for automatized quality control of tablets with respect to their intactness and surface density profile. Various tablets of different composition and different quality regarding their API content, radial tensile strength, intactness, and surface density profile were prepared using an eccentric as well as a rotary tablet press at compression pressures from 20MPa up to 410MPa. It was found, that UV imaging can provide both, relevant information on chemical and physical tablet attributes. The tablet API content and radial tensile strength could be estimated by UV imaging combined with partial least squares analysis. Furthermore, an image analysis routine was developed and successfully applied to the UV images that provided qualitative information on physical tablet surface properties such as intactness and surface density profiles, as well as quantitative information on variations in the surface density. In conclusion, this study demonstrates that UV imaging combined with image analysis is an effective and non-destructive method to determine chemical and physical quality attributes of tablets and is a promising approach for (near) real-time monitoring of the tablet compaction process and formulation optimization purposes.
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Affiliation(s)
- Marten Klukkert
- Division of Pharmaceutical Technology, Department of Chemistry, University of Hamburg, Germany.
| | - Jian X Wu
- Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
| | - Jukka Rantanen
- Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
| | - Jens M Carstensen
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark.
| | - Thomas Rades
- Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
| | - Claudia S Leopold
- Division of Pharmaceutical Technology, Department of Chemistry, University of Hamburg, Germany.
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15
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Mota-Aguilar DA, Velázquez C. Dynamics of the dry premixing stage of a hydrophobic formulation and potential implications on the wet granulation process. POWDER TECHNOL 2015. [DOI: 10.1016/j.powtec.2015.07.048] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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16
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Kandpal LM, Park E, Tewari J, Cho BK. Spectroscopic Techniques for Nondestructive Quality Inspection of Pharmaceutical Products: A Review. ACTA ACUST UNITED AC 2015. [DOI: 10.5307/jbe.2015.40.4.394] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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17
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Khorasani M, Amigo J, Sonnergaard J, Olsen P, Bertelsen P, Rantanen J. Visualization and prediction of porosity in roller compacted ribbons with near-infrared chemical imaging (NIR-CI). J Pharm Biomed Anal 2015; 109:11-7. [DOI: 10.1016/j.jpba.2015.02.008] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2014] [Revised: 02/04/2015] [Accepted: 02/05/2015] [Indexed: 11/17/2022]
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18
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Zhou L, Xu M, Wu Z, Shi X, Qiao Y. PAT: From Western solid dosage forms to Chinese materia medica preparations using NIR-CI. Drug Test Anal 2015; 8:71-85. [PMID: 25877484 DOI: 10.1002/dta.1799] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2015] [Revised: 03/05/2015] [Accepted: 03/06/2015] [Indexed: 11/07/2022]
Abstract
Near-infrared chemical imaging (NIR-CI) is an emerging technology that combines traditional near-infrared spectroscopy with chemical imaging. Therefore, NIR-CI can extract spectral information from pharmaceutical products and simultaneously visualize the spatial distribution of chemical components. The rapid and non-destructive features of NIR-CI make it an attractive process analytical technology (PAT) for identifying and monitoring critical control parameters during the pharmaceutical manufacturing process. This review mainly focuses on the pharmaceutical applications of NIR-CI in each unit operation during the manufacturing processes, from the Western solid dosage forms to the Chinese materia medica preparations. Finally, future applications of chemical imaging in the pharmaceutical industry are discussed.
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Affiliation(s)
- Luwei Zhou
- Beijing University of Chinese Medicine, China, 100102.,Pharmaceutical Engineering and New Drug Development of Traditional Chinese Medicine (TCM) of Ministry of Education, China, 100102.,Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing, China, 100102.,Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing, China, 100102
| | - Manfei Xu
- Beijing University of Chinese Medicine, China, 100102.,Pharmaceutical Engineering and New Drug Development of Traditional Chinese Medicine (TCM) of Ministry of Education, China, 100102.,Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing, China, 100102.,Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing, China, 100102
| | - Zhisheng Wu
- Beijing University of Chinese Medicine, China, 100102.,Pharmaceutical Engineering and New Drug Development of Traditional Chinese Medicine (TCM) of Ministry of Education, China, 100102.,Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing, China, 100102.,Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing, China, 100102
| | - Xinyuan Shi
- Beijing University of Chinese Medicine, China, 100102.,Pharmaceutical Engineering and New Drug Development of Traditional Chinese Medicine (TCM) of Ministry of Education, China, 100102.,Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing, China, 100102.,Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing, China, 100102
| | - Yanjiang Qiao
- Beijing University of Chinese Medicine, China, 100102.,Pharmaceutical Engineering and New Drug Development of Traditional Chinese Medicine (TCM) of Ministry of Education, China, 100102.,Key Laboratory of TCM-information Engineering of State Administration of TCM, Beijing, China, 100102.,Beijing Key Laboratory for Basic and Development Research on Chinese Medicine, Beijing, China, 100102
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Sacré PY, De Bleye C, Chavez PF, Netchacovitch L, Hubert P, Ziemons E. Data processing of vibrational chemical imaging for pharmaceutical applications. J Pharm Biomed Anal 2014; 101:123-40. [DOI: 10.1016/j.jpba.2014.04.012] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2014] [Revised: 04/08/2014] [Accepted: 04/09/2014] [Indexed: 11/26/2022]
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20
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A statistical-textural-features based approach for classification of solid drugs using surface microscopic images. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2014; 2014:791246. [PMID: 25371702 PMCID: PMC4211252 DOI: 10.1155/2014/791246] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2014] [Revised: 09/15/2014] [Accepted: 09/15/2014] [Indexed: 11/18/2022]
Abstract
The quality of pharmaceutical products plays an important role in pharmaceutical industry as well as in our lives. Usage of defective tablets can be harmful for patients. In this research we proposed a nondestructive method to identify defective and nondefective tablets using their surface morphology. Three different environmental factors temperature, humidity and moisture are analyzed to evaluate the performance of the proposed method. Multiple textural features are extracted from the surface of the defective and nondefective tablets. These textural features are gray level cooccurrence matrix, run length matrix, histogram, autoregressive model and HAAR wavelet. Total textural features extracted from images are 281. We performed an analysis on all those 281, top 15, and top 2 features. Top 15 features are extracted using three different feature reduction techniques: chi-square, gain ratio and relief-F. In this research we have used three different classifiers: support vector machine, K-nearest neighbors and naïve Bayes to calculate the accuracies against proposed method using two experiments, that is, leave-one-out cross-validation technique and train test models. We tested each classifier against all selected features and then performed the comparison of their results. The experimental work resulted in that in most of the cases SVM performed better than the other two classifiers.
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21
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Mangwandi C, Adams M, Hounslow M, Salman A. Influence of fill factor variation in high shear granulation on the post granulation processes: Compression and tablet properties. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2014.05.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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22
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Woltmann E, Meyer H, Weigel D, Pritzke H, Posch TN, Kler PA, Schürmann K, Roscher J, Huhn C. Applicability of UV laser-induced solid-state fluorescence spectroscopy for characterization of solid dosage forms. Anal Bioanal Chem 2014; 406:6347-62. [DOI: 10.1007/s00216-014-8074-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Revised: 07/23/2014] [Accepted: 07/28/2014] [Indexed: 11/29/2022]
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Matero S, van Den Berg F, Poutiainen S, Rantanen J, Pajander J. Towards better process understanding: chemometrics and multivariate measurements in manufacturing of solid dosage forms. J Pharm Sci 2013; 102:1385-403. [PMID: 23423769 DOI: 10.1002/jps.23472] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2013] [Accepted: 01/22/2013] [Indexed: 01/14/2023]
Abstract
The manufacturing of tablets involves many unit operations that possess multivariate and complex characteristics. The interactions between the material characteristics and process related variation are presently not comprehensively analyzed due to univariate detection methods. As a consequence, current best practice to control a typical process is to not allow process-related factors to vary i.e. lock the production parameters. The problem related to the lack of sufficient process understanding is still there: the variation within process and material properties is an intrinsic feature and cannot be compensated for with constant process parameters. Instead, a more comprehensive approach based on the use of multivariate tools for investigating processes should be applied. In the pharmaceutical field these methods are referred to as Process Analytical Technology (PAT) tools that aim to achieve a thorough understanding and control over the production process. PAT includes the frames for measurement as well as data analyzes and controlling for in-depth understanding, leading to more consistent and safer drug products with less batch rejections. In the optimal situation, by applying these techniques, destructive end-product testing could be avoided. In this paper the most prominent multivariate data analysis measuring tools within tablet manufacturing and basic research on operations are reviewed.
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Affiliation(s)
- Sanni Matero
- Department of Food Science, Quality & Technology, Faculty of Science, University of Copenhagen, DK-1958 Frederiksberg-C, Denmark.
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Kosec M, Bürmen M, Tomaževič D, Pernuš F, Likar B. Automated model-based calibration of short-wavelength infrared (SWIR) imaging spectrographs. APPLIED SPECTROSCOPY 2012; 66:1128-1135. [PMID: 23031695 DOI: 10.1366/12-06618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Among the variety of available hyperspectral imaging systems, the line-scan technique stands out for its short acquisition time and good signal-to-noise ratio. However, due to imperfections in the camera lens and, in particular, optical components of the imaging spectrograph, the acquired images are spatially and spectrally distorted, which can significantly degrade the accuracy of the subsequent hyperspectral image analysis. In this work, we propose and evaluate an automated method for correction of spatial and spectral distortions introduced by a line-scan hyperspectral imaging system operating in the short wavelength infrared (SWIR) spectral range from 1000 nm to 2500 nm. The proposed method is based on non-rigid registration of the distorted and reference images corresponding to two passive calibration objects. The results of the validation show that the proposed method is accurate, efficient, and applicable for calibration of line-scan hyperspectral imaging systems. Moreover, the design of the method and of the calibration objects allows integration with systems operating in diffuse reflectance or transmittance modes.
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Affiliation(s)
- Matjaž Kosec
- Sensum, Computer Vision Systems, Tehnološki park 21, 1000 Ljubljana, Slovenia.
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25
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Application of the near-infrared spectroscopy in the pharmaceutical technology. J Pharm Biomed Anal 2012; 66:1-10. [DOI: 10.1016/j.jpba.2012.03.009] [Citation(s) in RCA: 186] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2011] [Revised: 03/05/2012] [Accepted: 03/07/2012] [Indexed: 11/21/2022]
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