Applications of machine vision in pharmaceutical technology: A review

Galata, Dorián László; Mészáros, László; Kállai-Szabó, Nikolett; Szabó, Edina; Pataki, Hajnalka; Marosi, György; Nagy, Zsombor Kristóf

doi:10.1016/j.ejps.2021.105717

Cited by 70 publications

(31 citation statements)

References 219 publications

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“…In-line measurement of the particle size distribution can be realized with probes based on various principles. Spatial Filter Velocimetry (SFV) [ 31 ] and Focused Beam Reflectance Measurement (FBRM) [ 32 ] characterize the chord length of the particles, while methods based on digital imaging such as Particle Vision Measurement (PVM) [ 33 ], or Eyecon ® give information about the two-or three-dimensional shape of the particles [ 34 ]. The data obtained from these sensors usually consists of the volume fraction of particles of different sizes.…”

Section: Data Types In the Pharmaceutical Industrymentioning

confidence: 99%

“…The recorded signal enables the characterization of sample features’ spatial distribution. Digital images are the simplest example of such techniques; machine vision is a sensor that can be applied in-line during practically all pharmaceutical processes [ 34 ]. It is a highly flexible tool that can characterize samples’ size, shape, texture, and color.…”

Section: Data Types In the Pharmaceutical Industrymentioning

confidence: 99%

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Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review

et al. 2022

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The release of the FDA’s guidance on Process Analytical Technology has motivated and supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a deeper understanding of the product performance and process interplay. The technical opportunities to reach this high-level control have considerably evolved since 2004 due to the development of advanced analytical sensors and chemometric tools. However, their transfer to the highly regulated pharmaceutical sector has been limited. To this respect, data fusion strategies have been extensively applied in different sectors, such as food or chemical, to provide a more robust performance of the analytical platforms. This survey evaluates the challenges and opportunities of implementing data fusion within the PAT concept by identifying transfer opportunities from other sectors. Special attention is given to the data types available from pharmaceutical manufacturing and their compatibility with data fusion strategies. Furthermore, the integration into Pharma 4.0 is discussed.

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Section: Data Types In the Pharmaceutical Industrymentioning

confidence: 99%

Section: Data Types In the Pharmaceutical Industrymentioning

confidence: 99%

Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review

et al. 2022

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“…The value of the above-mentioned shape parameters for a particle with a perfectly spherical shape is 1. The degree of deviation from this numerical value indicates the deviation from the ideal shape [86]. According to the literature, the production process for pellets is considered to be appropriate if the value is between AR 1.0 and 1.2 [87].…”

Section: Characterization Of Starter Cores Layered Pellets-particle S...mentioning

confidence: 99%

Review on Starter Pellets: Inert and Functional Cores

et al. 2022

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A significant proportion of pharmaceuticals are now considered multiparticulate systems. Modified-release drug delivery formulations can be designed with engineering precision, and patient-centric dosing can be accomplished relatively easily using multi-unit systems. In many cases, Multiple-Unit Pellet Systems (MUPS) are formulated on the basis of a neutral excipient core which may carry the layered drug surrounded also by functional coating. In the present summary, commonly used starter pellets are presented. The manuscript describes the main properties of the various nuclei related to their micro- and macrostructure. In the case of layered pellets formed based on different inert pellet cores, the drug release mechanism can be expected in detail. Finally, the authors would like to prove the industrial significance of inert cores by presenting some of the commercially available formulations.

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“…Machine vision (MV) opens new windows of opportunity in this field as it enables more than the exhaustive analysis of the product. Processes like crystallization, milling, emulsification, fluidization, granulation, tableting, and coating can be followed and the accidental disturbances during these processes can be detected in real time [ 12 ]. Machine vision has been used for simple tasks because it can provide descriptive analysis along with reliable detection rates.…”

Section: Introduction—image Analysis (Ia) For Pharmaceutical Purposesmentioning

confidence: 99%

Image Analysis: A Versatile Tool in the Manufacturing and Quality Control of Pharmaceutical Dosage Forms

et al. 2021

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In pharmaceutical sciences, visual inspection is one of the oldest methods used for description in pharmacopeias and is still an important part of the characterization and qualification of active ingredients, excipients, and dosage forms. With the development of technology, it is now also possible to take images of various pharmaceutical dosage forms with different imaging methods in a size range that is hardly visible or completely invisible to the human eye. By analyzing high-quality designs, physicochemical processes can be understood, and the results can be used even in the optimization of the composition of the dosage form and in the development of its production. The present study aims to show some of the countless ways image analysis can be used in the manufacturing and quality assessment of different dosage forms. This summary also includes measurements and an evaluation of, amongst others, a less studied dosage form, medicated foams.

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Applications of machine vision in pharmaceutical technology: A review

Cited by 70 publications

References 219 publications

Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review

Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review

Review on Starter Pellets: Inert and Functional Cores

Image Analysis: A Versatile Tool in the Manufacturing and Quality Control of Pharmaceutical Dosage Forms

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