In pharmaceutical manufacturing of solid formulations, blending with a lubricant is a key process in preventing sticking during compression. Sticking not only results in tablets with a disfigured appearance but also brings about the interruption of continuous operations. The aim of our study was to identify blending scale-independent critical material attributes (CMAs) in relation to the sticking problem to appropriately define the end-point of the blending process with magnesium stearate as lubricant. Results showed that the dispersive surface free energy (SFE) and the specific free energy absorptions (ΔGsp) of ethanol decreased during blending with magnesium stearate. As the two parameters decreased, the sticking problem was improved. In conclusion, we propose that the dispersive SFE and ΔGsp of ethanol are scale-independent CMAs, and that the minimum blending time (BT), which can be calculated from the two CMAs, of the quantitative process parameter show the minimum blending time required to achieve higher risk assessment of the sticking problem.
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http://dx.doi.org/10.1016/j.ijpharm.2020.119032 | DOI Listing |
J Mach Learn Res
January 2024
Department of Statistics, Texas A&M University, College Station, TX 77843-3143, USA.
We consider the problem of clustering grouped data with possibly non-exchangeable groups whose dependencies can be characterized by a known directed acyclic graph. To allow the sharing of clusters among the non-exchangeable groups, we propose a Bayesian nonparametric approach, termed graphical Dirichlet process, that jointly models the dependent group-specific random measures by assuming each random measure to be distributed as a Dirichlet process whose concentration parameter and base probability measure depend on those of its parent groups. The resulting joint stochastic process respects the Markov property of the directed acyclic graph that links the groups.
View Article and Find Full Text PDFRev Sci Instrum
December 2024
School of Mechatronic Engineering, Changchun University of Technology, Changchun Jilin 130012, China.
This paper presents the development of a new bionic piezoelectric stick-slip actuator (PSSA). This actuator is designed to simulate the human rowing motion. By synergizing a lever amplification structure with a bridge amplification mechanism, the design not only mimics the rowing motion, where the lever amplification structure acts like an oar and the bridge amplification mechanism resembles the force exerted by a person operating the oar, but also suppresses the problem of backward displacement in traditional PSSAs.
View Article and Find Full Text PDFCommun Med (Lond)
December 2024
Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany.
Background: Quantification of Amyloid beta (Aβ) oligomers in plasma enables early diagnosis of Alzheimer's Disease (AD) and improves our understanding of underlying pathologies. However, quantification necessitates an extremely sensitive and selective technology because of very low Aβ oligomer concentrations and possible interference from matrix components.
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New Dir Stud Leadersh
December 2024
Doctoral Program in Organizational Leadership, LaFetra College of Education, University of La Verne, La Verne, California, USA.
Drawing on Kolb's experiential learning theory, this article offers practical and ready-to-use ideas that can be implemented into trainings to transform them into interactive experiences for students. By blending practical exercises with the power of theory, trainers can harness their creative ideas to craft dynamic training sessions that not only teach but inspire, bringing concepts to life in ways that stick and resonate long after the training ends.
View Article and Find Full Text PDFInsects
November 2024
Biofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Lignocellulosic biomass (LCB) in the form of agricultural, forestry, and agro-industrial wastes is globally generated in large volumes every year. The chemical components of LCB render them a substrate valuable for biofuel production. It is hard to dissolve LCB resources for biofuel production because the lignin, cellulose, and hemicellulose parts stick together rigidly.
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