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Galata DL, Mészáros LA, Ficzere M, Vass P, Nagy B, Szabó E, Domokos A, Farkas A, Csontos I, Marosi G, Nagy ZK. Continuous blending monitored and feedback controlled by machine vision-based PAT tool. J Pharm Biomed Anal 2021; 196:113902. [PMID: 33486449 DOI: 10.1016/j.jpba.2021.113902] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 01/11/2021] [Accepted: 01/12/2021] [Indexed: 12/20/2022]
Abstract
In a continuous powder blending process machine vision is utilized as a Process Analytical Technology (PAT) tool. While near-infrared (NIR) and Raman spectroscopy are reliable methods in this field, measurements become challenging when concentrations below 2 w/w% are quantified. However, an active pharmaceutical ingredient (API) with an intense color might be quantified in even lower quantities by images recorded with a digital camera. Riboflavin (RI) was used as a model API with orange color, its Limit of Detection was found to be 0.015 w/w% and the Limit of Quantification was 0.046 w/w% using a calibration based on the pixel value of images. A calibration for in-line measurement of RI concentration was prepared in the range of 0.2-0.45 w/w%, validation with UV/VIS spectrometry showed great accuracy with a relative error of 2.53 %. The developed method was then utilized for a residence time distribution (RTD) measurement in order to characterize the dynamics of the blending process. Lastly, the technique was applied in real-time feedback control of a continuous powder blending process. Machine vision based direct or indirect API concentration determination is a promising and fast method with a great potential for monitoring and control of continuous pharmaceutical processes.
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Affiliation(s)
- Dorián László Galata
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary
| | - Lilla Alexandra Mészáros
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary
| | - Máté Ficzere
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary
| | - Panna Vass
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary
| | - Brigitta Nagy
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary
| | - Edina Szabó
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary
| | - András Domokos
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary
| | - Attila Farkas
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary
| | - István Csontos
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary
| | - György Marosi
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary
| | - Zsombor Kristóf Nagy
- Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111, Budapest, Műegyetem rakpart 3, Hungary.
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Achouri IE, Rhoden A, Hudon S, Gosselin R, Simard JS, Abatzoglou N. Non-invasive detection technologies of solid foreign matter and their applications to lyophilized pharmaceutical products: A review. Talanta 2021; 224:121885. [PMID: 33379094 DOI: 10.1016/j.talanta.2020.121885] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 10/15/2020] [Accepted: 10/19/2020] [Indexed: 01/28/2023]
Abstract
Good Manufacturing Practice Regulations, under the Food and Drug Administration (FDA), stipulate that all pharmaceutical products must be free of any contaminants, including, namely, any foreign solid objects. Lyophilization is a common manufacturing method that consists of several steps where foreign materials may enter the product. The presence of unintended particles in freeze drying, which will herein be referred to under the term 'Lyophilization', is of great concern to the authorities responsible for drug safety and effectiveness. In the pharmaceutical industry, presently, the inspection of lyophilized products for foreign matter particulates relies on visual inspection where only the outer surface of the lyophilized cake is visible. This review is motivated by the need for new control strategies for foreign matter (FM) detection in lyophilized products; more specifically, it assesses the reliability of non-destructive technologies for FM detection in dried samples. Emerging technologies applied in other industries, such as various types of spectroscopies and imaging (e.g. chemical, X-ray, ultrasound, thermal and terahertz), are evaluated based on compatibility with the intended application, with identification of the possible technical challenges.
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Affiliation(s)
- Inès E Achouri
- Département de Génie Chimique et de Génie Biotechnologique, Université de Sherbrooke, Sherbrooke, QC, Canada.
| | - Alan Rhoden
- Pfizer USA, 100 route 206 North, Peapack, NJ, 07977, USA
| | - Sophie Hudon
- Pfizer Canada, 17300 route transcanadienne, Kirkland, QC, H9J 2M5, Canada
| | - Ryan Gosselin
- Département de Génie Chimique et de Génie Biotechnologique, Université de Sherbrooke, Sherbrooke, QC, Canada
| | | | - Nicolas Abatzoglou
- Département de Génie Chimique et de Génie Biotechnologique, Université de Sherbrooke, Sherbrooke, QC, Canada
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