Effects of powder flow properties and shear environment on the performance of continuous mixing of pharmaceutical powders

Vanarase, Aditya U.; Osorio, Juan G.; Muzzio, Fernando J.

doi:10.1016/j.powtec.2013.05.002

Cited by 106 publications

(55 citation statements)

References 13 publications

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“…However, to date, there are no systematic investigations A C C E P T E D M A N U S C R I P T 5 that examine approaches to reduce the propensity of fine API particles to agglomerates and its effects on blend content uniformity. Common methods to break agglomerates are usually through added steps of sieving, delumping (Vanarase et al, 2013) or milling (Schenck and Plank, 2008). On the other hand, such process may lead to the fine API particles adhering to the carrier particles to produce an "interactive mixture" (Kaialy, 2016).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Improving blend content uniformity via dry particle coating of micronized drug powders

Huang

Xiong

Kunnath

et al. 2017

European Journal of Pharmaceutical Sciences

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Content uniformity of low dose blends with fine active pharmaceutical ingredients (API) is adversely impacted due to API agglomeration caused by high powder cohesion. Dry coating using high-intensity vibratory mixing is employed to reduce API cohesion and granular Bond number as well as agglomeration as predicted by contact models, hence improve blend content uniformity (CU). Micronized acetaminophen (mAPAP) (~10μm), a model API, was dry coated with nano-silica R972P (20nm), and mixed with Avicel 102. The amount of silica was varied from 0 to 2.74wt%, corresponding to theoretical surface area coverage (SAC) from 0 to 100% respectively. Bulk density, unconfined yield strength, and dispersive surface energy results indicated dry coating with 0.27 to 1.0wt% silica was adequate for API property enhancement; further corroborated by improved CU for 5wt% API blends. Excellent CU was achieved for 3, 5 and 10wt% API loaded blends, where 30min of mixing was found to be acceptable for all three. The CU with dry coated mAPAP was significantly lower and within the acceptable range as compared to control blends without silica, as well as those with silica added during blending. Sieving of mAPAP illustrated the reduction in mAPAP agglomeration, necessary for improved CU after dry coating, corroborating model based predictions. Compared to theoretical predictions, actual CU was higher unless API agglomerate size distribution obtained via sieving was taken into account. Overall, cohesion reduction by dry coating is shown as a promising approach for improving content uniformity of cohesive API blends.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Improving blend content uniformity via dry particle coating of micronized drug powders

Huang

Xiong

Kunnath

et al. 2017

European Journal of Pharmaceutical Sciences

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“…The bulk density (BD) was determined by gently adding 2 g of peach powder into an empty 10-mL graduated cylinder and holding the cylinder on a vortex vibrator for 1 min. The ratio of mass (m) of the powder to the volume (v) occupied in the cylinder determines the BD value [28].…”

Section: Bulk Density (G/ml)mentioning

confidence: 99%

Screening Quality Evaluation Factors of Freeze-Dried Peach (Prunus PersicaL. Batsch) Powders from Different Ripening Time Cultivars

Liu

Hai-ou

Xue

et al. 2017

Journal of Food Quality

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The quality evaluation of processed products is complex. To simplify the quality evaluation process and improve the efficiency, fourteen evaluation factors of freeze-dried powders of seventeen cultivars of peach at different ripening times were analyzed. The most important evaluation indicators and criteria were obtained by analysis of variance (ANOVA), correlation analysis (CA), principal component analysis (PCA), system cluster analysis (SCA), and analytic hierarchy process (AHP). Results showed that the peach powders had the significant differences in quality ( < 0.05), and some processing factors were related with some physicochemical and nutritional factors. Five principle components were extracted by PCA and the cumulative contribution achieved was 84.46%. Through the score plot of the first two principal components, a clear differentiation among ripening times was found and three distinct groups were separated according to ripening time. Five characteristic factors were obtained as titratable acid, browning index, hemicellulose, hygroscopicity, and vitamin C by SCA. Their weights of 0.1249, 0.3007, 0.0514, 0.4916, and 0.0315 were obtained by AHP, respectively. The peach cultivars were divided into four evaluation grades by the comprehensive quality score.

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“…Homogeneity of the final blend after mixing depends on many Page 8 of 43 A c c e p t e d M a n u s c r i p t 7 parameters such as mixing method, mixer operating parameters, and component concentrations [27][28][29]. The tendency of a powder mixture to either form a consistent blend or to separate depends mostly on physical properties such as cohesiveness, particle size distribution, particle density, electrostatic charge and other surface properties [30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Macro-Raman spectroscopy for bulk composition and homogeneity analysis of multi-component pharmaceutical powders

Wang

Barona

Oladepo

et al. 2017

Journal of Pharmaceutical and Biomedical Analysis

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Effects of powder flow properties and shear environment on the performance of continuous mixing of pharmaceutical powders

Cited by 106 publications

References 13 publications

Improving blend content uniformity via dry particle coating of micronized drug powders

Improving blend content uniformity via dry particle coating of micronized drug powders

Screening Quality Evaluation Factors of Freeze-Dried Peach (Prunus PersicaL. Batsch) Powders from Different Ripening Time Cultivars

Macro-Raman spectroscopy for bulk composition and homogeneity analysis of multi-component pharmaceutical powders

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