The tensile strengths of single powders and binary mixtures

Chan, Stephen; Pilpel, N.; Cheng, D. C.-H.

doi:10.1016/0032-5910(83)87050-8

Cited by 33 publications

(7 citation statements)

References 14 publications

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“…The model also does not take account of inter-particle friction forces. Chan et al (1983) found that reduction in porosity would increase friction forces between particles by reducing separation distances between substrate particles. Fu et al (2004c) show that the critical impact velocity (the impact velocity above which a granule breaks) consistently increases with granulation time even though after a long period of granulation the binder content and air fraction remain relatively constant.…”

Section: Rumpf's Theorymentioning

confidence: 98%

Breakage in granulation: A review

Reynolds

Cheong

et al. 2005

Chemical Engineering Science

132

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Section: Rumpf's Theorymentioning

confidence: 98%

Breakage in granulation: A review

Reynolds

Cheong

et al. 2005

Chemical Engineering Science

132

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“…In all these studies, several unknown parameters were needed. These parameters are not easily accessible such as characteristic parameters describing intrinsic interaction between particles (Chan et al, 1983) or critical relative density for models using percolation theory (Kuentz and Leuenberger, 2000;Ramirez et al, 2004;Michrafy et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Many authors have been interested in the study of tablet tensile strength of binary mixtures, using the relative proportion of the two pure components (Chan et al, 1983;Kuentz and Leuenberger, 2000;Ramirez et al, 2004;Michrafy et al, 2007). In all these studies, several unknown parameters were needed.…”

Section: Introductionmentioning

confidence: 99%

Predictive model for tensile strength of pharmaceutical tablets based on local hardness measurements

Juban

Nouguier‐Lehon

Briançon

et al. 2015

International Journal of Pharmaceutics

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In the pharmaceutical field, tablets are the most common dosage forms for oral administration. During the manufacture of tablets, measures are taken to assure that they possess a suitable mechanical strength to avoid crumbling or breaking when handling while ensuring disintegration after administration. Accordingly, the tensile strength is an essential parameter to consider. In the present study, microscopic hardness and macroscopic tensile strength of binary tablets made from microcrystalline cellulose and caffeine in various proportions were measured. A relationship between these two mechanical properties was found for binary mixture. The proposed model was based on two physical measurements easily reachable: hardness and tablet density. Constants were determined from the two extreme compositions of this given system. This model was validated with experimental results, and a comparison was made with the one developed by Wu et al. (2005). Both models are relevant for this studied system. Nonetheless, with this model, the tablet tensile strength can be connected with a tablet characteristic at microscopic scale in which porosity is not needed.

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“…Several empirical approaches have been reported in order to model the tensile strength from blend properties. Chan et al (1983) provided a model considering the effects of particle size and composition of binary mixtures. Based on percolation theory, Kuentz & Leuenberger (1998) developed a model for the tensile strength of binary formulations, assuming that a tablet can only be produced with a solid fraction larger than some critical threshold, which is required to build a percolating system in the tablet.…”

Section: Introductionmentioning

confidence: 99%

Characterization of the 3D microstructure of Ibuprofen tablets by means of synchrotron tomography

Neumann¹,

Cabiscol

Osenberg

et al. 2019

Journal of Microscopy

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Summary A new methodology to segment the three‐dimensional (3D) internal structure of Ibuprofen tablets from synchrotron tomography is presented, introducing a physically coherent trinarization for greyscale images of Ibuprofen tablets consisting of three phases: microcrystalline cellulose, Ibuprofen and pores. For this purpose, a hybrid approach is developed combining a trinarization by means of statistical learning with a trinarization based on a watershed algorithm. This hybrid approach allows us to compute microstructure characteristics of tablets using methods of statistical image analysis. A comparison with experimental results shows that there is a significant amount of pores which is below the resolution limit. At the same time, results from image analysis let us conjecture that these pores constitute the great majority of the surface between pores and solid. Furthermore, we compute microstructure characteristics, which are experimentally not accessible such as local percolation probabilities and chord length distribution functions. Both characteristics are meaningful in order to quantify the influence of tablet compaction on its microstructure. The presented approach can be used to get better insight into the relationship between production parameters and microstructure characteristics based on 3D image data of Ibuprofen tablets manufactured under different conditions and elucidate key effects on the strength and solubility kinetics of the final formulation. Lay Description A typical formulation of uniaxial compacted Ibuprofen tablets consist of a mixture of an excipient (microcrystalline cellulose) with an active ingredient (a ground fraction of Ibuprofen). The final mechanical strength of the tablet as well as the release kinetics are strongly influenced by the underlying microstructure, i.e. the spatial arrangement of the microcrystalline cellulose and Ibuprofen within the tablet. In order to optimize the performance of the tablet, it is important to investigate the relationship between its microstructure and the corresponding production parameters. For this purpose, 3D imaging is a powerful tool as it allows computing microstructural properties such as the internal arrangement, interconnectivity and pore location and distribution, characteristics that cannot be computed by experimental characterization techniques. In the present study, a new algorithm for an accurate trinarization of 3D image data obtained by synchrotron tomography is presented. Trinarization means that we reconstruct microcrystalline cellulose, Ibuprofen and pores on the basis of the 3D images, where one can only observe different greyscale values, but not the different constituents themselves. For this purpose, a hybrid approach combining a trinarization by means of artificial intelligence with a trinarization based on a geometrically motivated algorithm is developed. This hybrid approach allows to compute microstructure characteristics of tablets using image analysis. A comparison with experimental results shows that there is a s...

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The tensile strengths of single powders and binary mixtures

Cited by 33 publications

References 14 publications

Breakage in granulation: A review

Breakage in granulation: A review

Predictive model for tensile strength of pharmaceutical tablets based on local hardness measurements

Characterization of the 3D microstructure of Ibuprofen tablets by means of synchrotron tomography

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