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Published in 2019 at "Chemical Physics"
DOI: 10.1016/j.chemphys.2019.110415
Abstract: Abstract Drug solubility is an important characteristic affecting its bioavailability. The properties of ionic drugs affect their sensitivity to buffer composition. We aimed to elucidate the variations in ibuprofen solubility due to different buffers and…
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Keywords:
phosphate;
drug solubility;
solubility behavior;
solubility ... See more keywords
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Published in 2017 at "International journal of pharmaceutics"
DOI: 10.1016/j.ijpharm.2017.03.079
Abstract: Cystic fibrosis (CF) lungs are usually susceptible to Pseudomonas aeruginosa colonization and this bacterium is resistant to immune system clearance and drug control. Particularly, the biofilm mode of growth protects several microorganisms from host defenses…
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Keywords:
drug;
drug solubility;
spray dried;
clarithromycin acetylcysteine ... See more keywords
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Published in 2020 at "International journal of pharmaceutics"
DOI: 10.1016/j.ijpharm.2019.119009
Abstract: Limited drug solubility effects can play a major role for the control of drug release from a variety of drug delivery systems, e.g. tablets, pellets, implants and microparticles. Importantly, such saturation effects can occur inside…
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Keywords:
drug solubility;
sink conditions;
drug;
saturation effects ... See more keywords
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Published in 2021 at "Journal of Molecular Liquids"
DOI: 10.1016/j.molliq.2021.115942
Abstract: Abstract Understanding drug solubility in various solvents is of great importance to the pharmaceutical industry for design of the process. To date, various modeling approaches including Equation of State (EoS) and Semi-empirical correlations have been…
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Keywords:
drug solubility;
supercritical solvent;
neural simulation;
solubility ... See more keywords
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Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.8b04584
Abstract: Prediction of drug solubility is a crucial problem in pharmaceutical industries for both drug delivery and discovery purposes. Several theoretical approaches have been proposed to predict drug solubility in mixed solvent systems when the solubility…
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Keywords:
drug solubility;
quantitative structure;
drug;
predict drug ... See more keywords
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Published in 2024 at "Journal of medicinal chemistry"
DOI: 10.1021/acs.jmedchem.4c01550
Abstract: Deep eutectic solvents (DES) are environmentally friendly solvents with the potential to dissolve bioactive compounds without affecting their characteristics. DES has special qualities that can be customized to meet the unique characteristics of a biomolecule/active…
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Keywords:
deep eutectic;
drug solubility;
eutectic solvents;
drug ... See more keywords
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Published in 2024 at "Molecular pharmaceutics"
DOI: 10.1021/acs.molpharmaceut.4c00362
Abstract: Novel hydroxyphenyl adhesives (HP-PSAs) could significantly increase drug solubility and control drug release through a doubly ionic hydrogen bond (DIH bond) in the patch. However, chemical penetration enhancers (CPEs) always destroy the performance of most…
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Keywords:
drug solubility;
dih bond;
drug;
psa ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-68362-2
Abstract: The pharmaceutical industry faces a significant challenge from the low water solubility of nearly 90% of newly developed Active Pharmaceutical Ingredients (APIs). Despite extensive efforts to improve solubility, approximately 40% of these APIs encounter commercialization…
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Keywords:
stability;
polyvinyl alcohol;
drug solubility;
solubility ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-74553-8
Abstract: In this research paper, we explored the predictive capabilities of three different models of Polynomial Regression (PR), Extreme Gradient Boosting (XGB), and LASSO to estimate the density of supercritical carbon dioxide (SC-CO2) and the solubility…
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Keywords:
drug solubility;
co2;
supercritical co2;
optimization ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-80952-8
Abstract: This study investigates the application of various regression models for predicting drug solubility in polymer and API-polymer interactions in complex datasets. Four models—Gaussian Process Regression (GPR), Support Vector Regression (SVR), Bayesian Ridge Regression (BRR), and…
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Keywords:
drug solubility;
thermodynamics;
analysis;
regression ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-11823-z
Abstract: The development of continuous pharmaceutical manufacturing is crucial and can be analyzed via advanced computational models. Machine learning is a strong computational paradigm that can be integrated into a continuous process to enhance the drugs’…
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Keywords:
drug solubility;
machine learning;
model;
solubility ... See more keywords