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Development and validation of in-line near-infrared spectroscopy based analytical method for commercial production of a botanical drug product. J Pharm Biomed Anal 2019; 174:674-682. [DOI: 10.1016/j.jpba.2019.06.046] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 06/25/2019] [Accepted: 06/29/2019] [Indexed: 11/21/2022]
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Li Y, Anderson CA, Drennen JK, Airiau C, Igne B. Development of an In-Line Near-Infrared Method for Blend Content Uniformity Assessment in a Tablet Feed Frame. APPLIED SPECTROSCOPY 2019; 73:1028-1040. [PMID: 30990067 DOI: 10.1177/0003702819842189] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Process analytical technology (PAT) has shown great potential for in-line tableting process monitoring. The study focuses on the development and validation of an in-line near-infrared (NIR) spectroscopic method for the determination of content uniformity of blends in a tablet feed frame. An in-line NIR method was developed after careful evaluation of the impact of potential experimental factors on the robustness and model accuracy and precision. The NIR method was validated according to the principles outlined in International Conference on Harmonization-Q2 for validation of analytical procedures and was demonstrated to be suitable for monitoring blend content for the formulation under evaluation. Reliable measurements of blend homogeneity rely on representative sampling. To reach the appropriate scale of scrutiny for a unit dose, the study assessed factors that influence the effective sample size measured by NIR. Spectral averaging, integration time, and feed frame paddle wheel speed were found to influence the effective sample size measured by the NIR probe. The effective sampling size was also estimated by comparing the distribution of predicted values with the reference values. The development of a robust, in-line PAT method was facilitated by thorough understanding of the sensitivity of PAT sensors to factors affecting pharmaceutical processes and products.
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Affiliation(s)
- Yi Li
- Duquesne University, Graduate School of Pharmaceutical Sciences, Pittsburgh, PA, USA
| | - Carl A Anderson
- Duquesne University, Graduate School of Pharmaceutical Sciences, Pittsburgh, PA, USA
| | - James K Drennen
- Duquesne University, Graduate School of Pharmaceutical Sciences, Pittsburgh, PA, USA
| | - Christian Airiau
- GlaxoSmithKline, Analytical Sciences and Development, Collegeville, PA, USA
| | - Benoît Igne
- GlaxoSmithKline, Analytical Sciences and Development, Collegeville, PA, USA
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Casian T, Farkas A, Ilyés K, Démuth B, Borbás E, Madarász L, Rapi Z, Farkas B, Balogh A, Domokos A, Marosi G, Tomută I, Nagy ZK. Data fusion strategies for performance improvement of a Process Analytical Technology platform consisting of four instruments: An electrospinning case study. Int J Pharm 2019; 567:118473. [PMID: 31252149 DOI: 10.1016/j.ijpharm.2019.118473] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 06/24/2019] [Accepted: 06/25/2019] [Indexed: 12/25/2022]
Abstract
The aim of this work was to develop a PAT platform consisting of four complementary instruments for the characterization of electrospun amorphous solid dispersions with meloxicam. The investigated methods, namely NIR spectroscopy, Raman spectroscopy, Colorimetry and Image analysis were tested and compared considering the ability to quantify the active pharmaceutical ingredient and to detect production errors reflected in inhomogeneous deposition of fibers. Based on individual performance the calculated RMSEP values ranged between 0.654% and 2.292%. Mid-level data fusion consisting of data compression through latent variables and application of ANN for regression purposes proved efficient, yielding an RMSEP value of 0.153%. Under these conditions the model could be validated accordingly on the full calibration range. The complementarity of the PAT tools, demonstrated from the perspective of captured variability and outlier detection ability, contributed to model performance enhancement through data fusion. To the best of the author's knowledge, this is the first application of data fusion in the field of PAT for efficient handling of big-analytical-data provided by high-throughput instruments.
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Affiliation(s)
- Tibor Casian
- Department of Pharmaceutical Technology and Biopharmacy, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
| | - Attila Farkas
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
| | - Kinga Ilyés
- Department of Pharmaceutical Technology and Biopharmacy, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Balázs Démuth
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
| | - Enikő Borbás
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
| | - Lajos Madarász
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
| | - Zsolt Rapi
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
| | - Balázs Farkas
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
| | - Attila Balogh
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
| | - András Domokos
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
| | - György Marosi
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
| | - Ioan Tomută
- Department of Pharmaceutical Technology and Biopharmacy, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Zsombor Kristóf Nagy
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
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Evaluation of an in-line NIR spectroscopic method for the determination of the residence time in a tablet press. Int J Pharm 2019; 565:358-366. [DOI: 10.1016/j.ijpharm.2019.05.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 04/28/2019] [Accepted: 05/04/2019] [Indexed: 10/26/2022]
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