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Chen H, Tian Y, Zhang S, Wang X, Qu H. Image processing-based online analysis and feedback control system for droplet dripping process. Int J Pharm 2024; 651:123736. [PMID: 38142872 DOI: 10.1016/j.ijpharm.2023.123736] [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: 09/26/2023] [Revised: 12/01/2023] [Accepted: 12/21/2023] [Indexed: 12/26/2023]
Abstract
Droplets find wide application across diverse industries, where maintaining their quality is paramount. Precise control over the substance content within droplets demands non-destructive and online analysis techniques, such as Process Analytical Technology (PAT), often integrated with control strategies. In this context, the present study focuses on the example of controlling droplet quality during the dripping process of pills. Leveraging the dripping and image acquisition systems established in previous research, a novel feedback control system centered on image processing was devised for the quality control of dripping pills. The system was developed and its efficacy was assessed, yielding satisfactory outcomes. The proposed system facilitates real-time monitoring of pill weight through the analysis of droplet images during the dripping process, thereby offering real-time feedback control of pill weight. Importantly, this system holds potential for broader applications beyond the scope of this study.
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Affiliation(s)
- Hang Chen
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Ying Tian
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Sheng Zhang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Xiaoping Wang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Haibin Qu
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
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2
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Julien PA, Arhangelskis M, Germann LS, Etter M, Dinnebier RE, Morris AJ, Friščić T. Illuminating milling mechanochemistry by tandem real-time fluorescence emission and Raman spectroscopy monitoring. Chem Sci 2023; 14:12121-12132. [PMID: 37969588 PMCID: PMC10631231 DOI: 10.1039/d3sc04082h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 10/07/2023] [Indexed: 11/17/2023] Open
Abstract
In pursuit of accessible and interpretable methods for direct and real-time observation of mechanochemical reactions, we demonstrate a tandem spectroscopic method for monitoring of ball-milling transformations combining fluorescence emission and Raman spectroscopy, accompanied by high-level molecular and periodic density-functional theory (DFT) calculations, including periodic time-dependent (TD-DFT) modelling of solid-state fluorescence spectra. This proof-of-principle report presents this readily accessible dual-spectroscopy technique as capable of observing changes to the supramolecular structure of the model pharmaceutical system indometacin during mechanochemical polymorph transformation and cocrystallisation. The observed time-resolved in situ spectroscopic and kinetic data are supported by ex situ X-ray diffraction and solid-state nuclear magnetic resonance spectroscopy measurements. The application of first principles (ab initio) calculations enabled the elucidation of how changes in crystalline environment, that result from mechanochemical reactions, affect vibrational and electronic excited states of molecules. The herein explored interpretation of both real-time and ex situ spectroscopic data through ab initio calculations provides an entry into developing a detailed mechanistic understanding of mechanochemical milling processes and highlights the challenges of using real-time spectroscopy.
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Affiliation(s)
- Patrick A Julien
- Department of Chemistry, McGill University 801 Sherbrooke St. W. H3A 0B8 Montreal Canada
- Department of Chemistry and Chemical Engineering, Royal Military College of Canada 13 General Crerar Crescent K7K 7B4 Kingston Canada
| | - Mihails Arhangelskis
- Department of Chemistry, McGill University 801 Sherbrooke St. W. H3A 0B8 Montreal Canada
- Faculty of Chemistry, University of Warsaw 1 Pasteura St. 02-093 Warsaw Poland
| | - Luzia S Germann
- Department of Chemistry, McGill University 801 Sherbrooke St. W. H3A 0B8 Montreal Canada
- Max-Planck Institute for Solid State Research Heisenbergstrasse 1 D-70569 Stuttgart Germany
| | - Martin Etter
- Deutsches-Elektronen Synchrotron (DESY) Notkestrasse 85 22607 Hamburg Germany
| | - Robert E Dinnebier
- Max-Planck Institute for Solid State Research Heisenbergstrasse 1 D-70569 Stuttgart Germany
| | - Andrew J Morris
- School of Metallurgy and Materials, University of Birmingham Birmingham B15 2TT UK
| | - Tomislav Friščić
- Department of Chemistry, McGill University 801 Sherbrooke St. W. H3A 0B8 Montreal Canada
- School of Chemistry, University of Birmingham Edgbaston Birmingham B15 2TT UK
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Sørensen DH, Christensen NPA, Skibsted E, Rantanen J, Rinnan Å. In-line fluorescence spectroscopy for quantification of low amount of active pharmaceutical ingredient. J Pharm Sci 2022; 111:2406-2410. [PMID: 35724737 DOI: 10.1016/j.xphs.2022.06.008] [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: 03/31/2022] [Revised: 05/25/2022] [Accepted: 06/08/2022] [Indexed: 11/25/2022]
Abstract
The pharmaceutical industry is currently implementing new manufacturing principles and modernizing the related processing solutions. A key element in this development is implementation of process analytical technologies (PAT) for measuring product quality in a real-time mode, ideally for a continuously operating processing line. Near-infrared (NIR) spectroscopy is widely used for this purpose, but has limited use for low concentration formulations, due to its inherent detection limit. Light-induced fluorescence (LIF) spectroscopy is a PAT tool that can be used to quantify low concentrations of active pharmaceutical ingredient, and recent development of instrumentation has made it available for in-line applications. In this study, the content of tryptophan in a dynamic powder flow could be measured as low as 0.10 w/w % with LIF spectroscopy with good accuracy of RMSEP = 0.008 w/w %. Both partial least squares regression and support vector machines (SVM) were investigated, but we found SVM to be the better option due to non-linearities between the calibration test and the in-line measurements. With the use of SVM, LIF spectroscopy is a promising candidate for low concentration applications where NIR is not suitable.
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Affiliation(s)
| | | | - Erik Skibsted
- Novo Nordisk A/S, Department Oral Protein Formulation, 2760 Måløv, Denmark
| | - Jukka Rantanen
- Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Åsmund Rinnan
- Department of Food Science, Faculty of Science, University of Copenhagen, 1958 Frederiksberg C, Denmark.
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Zhong L, Gao L, Li L, Zang H. Trends-process analytical technology in solid oral dosage manufacturing. Eur J Pharm Biopharm 2020; 153:187-199. [DOI: 10.1016/j.ejpb.2020.06.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 06/11/2020] [Accepted: 06/14/2020] [Indexed: 10/24/2022]
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Du C, Ma C, Gu J, Li L, Chen G. Fluorescence Sensing of Caffeine in Tea Beverages with 3,5-diaminobenzoic Acid. SENSORS 2020; 20:s20030819. [PMID: 32028737 PMCID: PMC7038766 DOI: 10.3390/s20030819] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Revised: 01/21/2020] [Accepted: 01/31/2020] [Indexed: 02/05/2023]
Abstract
A rapid, selective and sensitive method for the detection of caffeine in tea infusion and tea beverages are proposed by using 3,5-diaminobenzoic acid as a fluorescent probe. The 3,5-diaminobenzoic acid emits strong fluorescence around 410 nm under the excitation of light at 280 nm. Both the molecular electrostatic potential analysis and fluorescent lifetime measurement proved that the existence of caffeine can quench the fluorescence of 3,5-diaminobenzoic acid. Under the optimal experimental parameters, the 3,5-diaminobenzoic acid was used as a fluorescent probe to detect the caffeine aqueous solution. There exists a good linear relationship between the fluorescence quenching of the fluorescent probe and the concentration of caffeine in the range of 0.1–100 μM, with recovery within 96.0 to 106.2%, while the limit of detection of caffeine is 0.03 μM. This method shows a high selectivity for caffeine. The caffeine content in different tea infusions and tea beverages has been determined and compared with the results from HPLC measurement.
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Affiliation(s)
- Chenxu Du
- School of Science, Jiangnan University, Wuxi 214122, China; (C.D.); (C.M.); (J.G.); (L.L.)
| | - Chaoqun Ma
- School of Science, Jiangnan University, Wuxi 214122, China; (C.D.); (C.M.); (J.G.); (L.L.)
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Jiao Gu
- School of Science, Jiangnan University, Wuxi 214122, China; (C.D.); (C.M.); (J.G.); (L.L.)
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
| | - Lei Li
- School of Science, Jiangnan University, Wuxi 214122, China; (C.D.); (C.M.); (J.G.); (L.L.)
| | - Guoqing Chen
- School of Science, Jiangnan University, Wuxi 214122, China; (C.D.); (C.M.); (J.G.); (L.L.)
- Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China
- Correspondence: ; Tel.: +86-139-0617-6695
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Chullipalliyalil K, Lewis L, McAuliffe MAP. Deep UV Laser-Induced Fluorescence for Pharmaceutical Cleaning Validation. Anal Chem 2020; 92:1447-1454. [PMID: 31822059 DOI: 10.1021/acs.analchem.9b04658] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Cleaning verification and validation is a requirement in the pharmaceutical industry. Due to the limited number of mobile devices that do effective and accurate onsite cleaning verification, it is mostly done via lab-based quality control techniques. These techniques, such as high-performance liquid chromatography (HPLC) or total organic carbon, often lead to extending the validation of cleaning by days. The void of more sensitive, accurate, and portable instruments to verify cleaning onsite has to be filled. The article discusses the use of deep ultra violet (DUV) laser-induced fluorescence for detecting carryover of active pharmaceutical ingredients (APIs) and detergents onsite. A modified spectrometer was used as an offsite bench type prototype for analyzing trace samples of API and cleaning detergents with various substrates. Even if the API to be detected has a low fluorescence efficiency, the specificity of the technique allows API traces having concentrations as low as ≈0.20 μg/cm2 to be identified. The work also shows the possibility of using a probe for validating cleaning of hard to reach areas using DUV laser-induced fluorescence. DUV laser-induced fluorescence of trace API over any polymer/glass substrate has better signal to background ratio (SBR) compared to FTIR absorption techniques. Processing times of DUV laser-induced fluorescence trace detection are shown to be much less than swab based methods.
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Affiliation(s)
| | - Liam Lewis
- Center for Advanced Photonics and Process Analysis (CAPPA) , Cork Institute of Technology , Cork , Ireland
| | - Michael A P McAuliffe
- Center for Advanced Photonics and Process Analysis (CAPPA) , Cork Institute of Technology , Cork , Ireland
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In-line UV spectroscopy for the quantification of low-dose active ingredients during the manufacturing of pharmaceutical semi-solid and liquid formulations. Anal Chim Acta 2018; 1013:54-62. [PMID: 29501092 DOI: 10.1016/j.aca.2018.02.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 01/08/2018] [Accepted: 02/02/2018] [Indexed: 11/21/2022]
Abstract
UltraViolet (UV) spectroscopy was evaluated as an innovative Process Analytical Technology (PAT) - tool for the in-line and real-time quantitative determination of low-dosed active pharmaceutical ingredients (APIs) in a semi-solid (gel) and a liquid (suspension) pharmaceutical formulation during their batch production process. The performance of this new PAT-tool (i.e., UV spectroscopy) was compared with an already more established PAT-method based on Raman spectroscopy. In-line UV measurements were carried out with an immersion probe while for the Raman measurements a non-contact PhAT probe was used. For both studied formulations, an in-line API quantification model was developed and validated per spectroscopic technique. The known API concentrations (Y) were correlated with the corresponding in-line collected preprocessed spectra (X) through a Partial Least Squares (PLS) regression. Each developed quantification method was validated by calculating the accuracy profile on the basis of the validation experiments. Furthermore, the measurement uncertainty was determined based on the data generated for the determination of the accuracy profiles. From the accuracy profile of the UV- and Raman-based quantification method for the gel, it was concluded that at the target API concentration of 2% (w/w), 95 out of 100 future routine measurements given by the Raman method will not deviate more than 10% (relative error) from the true API concentration, whereas for the UV method the acceptance limits of 10% were exceeded. For the liquid formulation, the Raman method was not able to quantify the API in the low-dosed suspension (0.09% (w/w) API). In contrast, the in-line UV method was able to adequately quantify the API in the suspension. This study demonstrated that UV spectroscopy can be adopted as a novel in-line PAT-technique for low-dose quantification purposes in pharmaceutical processes. Important is that none of the two spectroscopic techniques was superior to the other for both formulations: the Raman method was more accurate in quantifying the API in the gel (2% (w/w) API), while the UV method performed better for API quantification in the suspension (0.09% (w/w) API).
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Calhan SD, Eker ED, Sahin NO. Quality by design (QbD) and process analytical technology (PAT) applications in pharmaceutical industry. ACTA ACUST UNITED AC 2017. [DOI: 10.5155/eurjchem.8.4.430-433.1667] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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