AIMC Topic: Powders

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Pharmacotechnical Evaluation by SeDeM Expert System to Develop Orodispersible Tablets.

AAPS PharmSciTech May 9, 2022
Sediment delivery model (SeDeM) system is innovative tool to correlate micromeritic properties of powders with compressibility. It involves computation of indices which facilitate direct compressibility of solids and enable corrective measures throug...
Tablets Expert Systems Drug Compounding Excipients Solubility Powders
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Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning.

Computers in biology and medicine Aug 13, 2021
Ginger is a well-known product in the food and pharmaceutical industries. Ginger is one of the spices which are adulterated for economic gain. The lack of marketability of grade 3 chickpeas (small and broken chickpeas) and their very low price have m...
Algorithms Powders Deep Learning Image Processing, Computer-Assisted Zingiber officinale Fraud
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A novel method based on machine vision system and deep learning to detect fraud in turmeric powder.

Computers in biology and medicine Aug 3, 2021
Assessing the quality of food and spices is particularly important in ensuring proper human nutrition. The use of computer vision method as a non-destructive technique in measuring the quality of food and spices has always been taken into considerati...
Fraud Curcuma Deep Learning Powders Humans Neural Networks, Computer
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Intelligent modeling and experimental study on methylene blue adsorption by sodium alginate-kaolin beads.

International journal of biological macromolecules Jul 5, 2021
As tighter regulations on color in discharges to water bodies are more widely implemented worldwide, the demand for reliable inexpensive technologies for dye removal grows. In this study, the removal of the basic dye, methylene blue, by adsorption on...
Alginates Methylene Blue Kaolin Chemical Fractionation Surface Properties Water Pollutants, Chemical Adsorption Kinetics Powders Regression Analysis Neural Networks, Computer
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Characterizing the Impact of Spray Dried Particle Morphology on Tablet Dissolution Using Quantitative X-Ray Microscopy.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Jul 3, 2021
For oral solid dosage forms, disintegration and dissolution properties are closely related to the powders and particles used in their formulation. However, there remains a strong need to characterize the impact of particle structures on tablet compac...
Tablets Solubility Powders Artificial Intelligence Particle Size Microscopy, Electron, Scanning X-Rays
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Investigation into liquisolid system processability based on the SeDeM Expert System approach.

International journal of pharmaceutics Jun 30, 2021
Liquisolid systems are emerging formulation approach for poorly soluble drugs, based on adsorption/absorption of drug dispersion and obtaining free-flowing powder with good compressibility. SeDeM Expert System represents a powder processability evalu...
Powders Expert Systems Solubility Drug Liberation Povidone Tablets
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An insight into predictive parameters of tablet capping by machine learning and multivariate tools.

International journal of pharmaceutics Mar 2, 2021
Capping is the frequently observed mechanical defect in tablets arising from the sub-optimal selection of the formulation composition and their robustness of response toward process parameters. Hence, overcoming capping propensity based on the unders...
Drug Compounding Porosity Tensile Strength Machine Learning Tablets Elastic Modulus Powders
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Characterization of Spray Dried Particles Through Microstructural Imaging.

Journal of pharmaceutical sciences Aug 3, 2020
Spray drying is commonly used to produce amorphous solid dispersions (ASD) to improve the bioperformance of poorly water-soluble drugs. In this study, imaging techniques such as focused ion beam-scanning electron microscopy (FIB-SEM) and X-ray microc...
Water Particle Size Microscopy, Electron, Scanning Calorimetry, Differential Scanning Powders Artificial Intelligence X-Ray Microtomography
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Stability assessment of extracts obtained from Arbutus unedo L. fruits in powder and solution systems using machine-learning methodologies.

Food chemistry Jul 4, 2020
Arbutus unedo L. (strawberry tree) has showed considerable content in phenolic compounds, especially flavan-3-ols (catechin, gallocatechin, among others). The interest of flavan-3-ols has increased due their bioactive actions, namely antioxidant and ...
Plant Extracts Solutions Support Vector Machine Ericaceae Food Preservatives Neural Networks, Computer Flavonoids Hydrogen-Ion Concentration Catechin Temperature Fruit Food Storage Machine Learning Antioxidants Powders Kinetics
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Data-Driven Modeling of the Bicalutamide Dissolution from Powder Systems.

AAPS PharmSciTech Mar 31, 2020
Low solubility of active pharmaceutical compounds (APIs) remains an important challenge in dosage form development process. In the manuscript, empirical models were developed and analyzed in order to predict dissolution of bicalutamide (BCL) from sol...
Nitriles Anilides Tosyl Compounds Solubility Artificial Intelligence Powders Technology, Pharmaceutical Machine Learning
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