Particle Characterisation in Bulk Powders

Stanley-Wood, N.G.

doi:10.1002/9781444305456.ch1

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…Flow properties are determined by several factors derived from the nature of particles, such as shape; size; size distribution; surface; purity; crystallinity; interparticle forces (friction forces, surface tension, molecular forces [ 1 ]), and external factors such as the force of gravity; temperature; moisture content; electrostatic charge; aeration; and particle-wall interaction [ 2 , 3 , 4 , 5 ]. Examining the effect of these factors on powder flowability is still a favored topic, since development in measurement techniques and powder flow theory is on-going.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Cone-Growth Model for Determination of Pharmaceutical Powder Flow Properties

Farkas,

Nagy,

Dévay

et al. 2024

Pharmaceutics

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The flow properties of pellets or granules are crucial for further processing drug dosage forms. Optimal compression or filling of multiparticulate dosage forms into capsules is influenced by forces between discrete particles, which could be partially characterized by flow properties. Several techniques have been developed to examine flowability, including static and dynamic methods applying empirical studies and up-to-date chaos theory; however, the newest methods seem only to be powerful with the supplementation of empirical principles. Our experiments try to refine both the technique of analysis and the methods, by finding new, alternative ways. Our approach to the flowability measurements was to set up a dynamic time-dependent model that combined empirical observations and chaos theory on a geometrical basis, thus finding new characteristics regarding the flow properties of pellets and granules that could be relevant for drug developers. Our findings indicate that sphericity and particle size are the most significant factors influencing the flowability of pharmaceutical multiparticular preparations. Furthermore, this study confirms that integrating chaos theory and empirical observations in a time-dependent dynamic model provides a comprehensive understanding of particle flow behavior, pivotal for optimizing manufacturing processes.

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Section: Introductionmentioning

confidence: 99%

Real-Time Cone-Growth Model for Determination of Pharmaceutical Powder Flow Properties

Farkas,

Nagy,

Dévay

et al. 2024

Pharmaceutics

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“…for their resistance to change in volume (Roberts & Rowe 1985. The method of Fell & Newton (1970) can be used to characterize the formed compact by its tensile strength and its tensile strength variability (Stanley & Newton 1977). Rees & Rue (1978) used cylindrical specimens to determine the 'work of failure' of some direct compression excipients.…”

mentioning

confidence: 99%

The characterization of the mechanical properties of microcrystalline cellulose: a fracture mechanics approach

Mashadi

Newton

1987

Journal of Pharmacy and Pharmacology

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The mechanical properties of compressed beam specimens of microcrystalline cellulose (Avicel pH 101) have been assessed in terms of the tensile strength (sigma t), Young's modulus (E) and the following fracture mechanics parameters: the critical stress intensity factor (KIC), the critical strain energy release rate (GIC) and the fracture toughness (R). Increase in the compaction pressure used to form the beams resulted in compacts with higher values of tensile strength, Young's modulus, KIC, GIC and R, indicating that the compacts became less brittle as their porosity decreased. Extrapolation of the values of sigma t, E, KIC, GIC and R to provide values at zero porosity indicated that the material had values of 30 Nm m-2, 0.0103 GPa, 1.21 MN m-3/2, 1.98 x 10(2) Nm-1 and 2.19 x 10(3) Nm-1, respectively. These provide a range of values whereby a fuller characterization of the mechanical properties of pharmaceutical materials can be made.

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Particle Characterisation in Bulk Powders

Cited by 2 publications

References 19 publications

Real-Time Cone-Growth Model for Determination of Pharmaceutical Powder Flow Properties

Real-Time Cone-Growth Model for Determination of Pharmaceutical Powder Flow Properties

The characterization of the mechanical properties of microcrystalline cellulose: a fracture mechanics approach

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