Studies were performed to investigate the effect of curing on the diffusion coefficients of water, as measured via the sorption technique, in acrylate polymeric films. The mathematical model selected for obtaining diffusion constants from the vapor-phase sorption studies was derived from the long-time Fourier equation used for diffusion into a planar sheet. For Eudragit NE films, the diffusion coefficients of water decreased continuously until a constant minimum value was reached. Diffusion coefficients in Eudragit RS films decreased initially but increased beyond 4 hours of curing at 70 degrees C and 90 degrees C. This latter result suggested the possible evaporation of plasticizer, which also results in a more dramatic increase in glass transition temperature with curing for the Eudragit RS free film in comparison to the Eudragit NE free film. Such loss of plasticizer could also lead to the formation of molecular-scale channels within the films, which would result in increased film permeability. To verify this proposed explanation, the amounts of triethyl citrate plasticizer in Eudragit RS free films were determined using Fourier-transform infrared spectrophotometry. An optimal curing condition was predicted for Eudragit NE and Eudragit RS films based upon the curing conditions at which a minimum value of the diffusion coefficient was reached.
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http://dx.doi.org/10.1208/pt0803071 | DOI Listing |
AJNR Am J Neuroradiol
January 2025
Department of Radiology (M.Z., N.W., S.H., X.L., H.Z., C.Y., Q.S.), The First Affiliated Hospital of Dalian Medical University, Dalian, China
Background And Purpose: DWI is crucial for detecting infarction stroke. However, its spatial resolution is often limited, hindering accurate lesion visualization. Our aim was to evaluate the image quality and diagnostic confidence of deep learning (DL)-based super-resolution reconstruction for brain DWI of infarction stroke.
View Article and Find Full Text PDFFood Res Int
January 2025
Department of Life Sciences, University of Modena and Reggio Emilia, Via Amendola 2, 42122 Reggio Emilia, Italy; Interdepartmental Research Centre for the Improvement of Agro-Food Biological Resources (BIOGEST-SITEIA), University of Modena and Reggio Emilia, Via Amendola 2, 42122 Reggio Emilia, Italy.
This study investigates the underexplored area of the release mechanism and kinetics of the antimicrobial Ethyl Lauroyl Arginate (LAE®) from an innovative active packaging system based on poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV). We evaluated the impact of food simulants and temperatures on LAE® release, diffusion, and partition coefficients. Mathematical modeling was used to elucidate LAE® release kinetics, offering understanding of the release behaviour in food matrices.
View Article and Find Full Text PDFJ Mol Model
January 2025
School of Semiconductors and Physics, North University of China, Xueyuan Road #3, 030051, Taiyuan, China.
Context: Based on the transition state theory, a molecular diffusion model in the narrow channels of Brewsterite zeolite was established. In this model, the molecular interaction at the potential barrier was simplified to only consider the repulsive potential, so that the analytical relationship between the diffusion coefficient and the temperature and the Lennard-Jones interaction parameter was derived. We used the molecular dynamics method to simulate the diffusion of four molecules, CF, CH, Ar, and Ne, in Brewsterite zeolite and evaluated the rationality of the model.
View Article and Find Full Text PDFNeurooncol Adv
December 2024
Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Purpose: To implement and evaluate deep learning-based methods for the classification of pediatric brain tumors (PBT) in magnetic resonance (MR) data.
Methods: A subset of the "Children's Brain Tumor Network" dataset was retrospectively used ( = 178 subjects, female = 72, male = 102, NA = 4, age range [0.01, 36.
Pediatr Nephrol
January 2025
Childhood Chronic Diseases Department, University Hospital of Nantes, 7 Quai Moncousu, 44093, Nantes, France.
Background: Severe respiratory complications following kidney transplantation have been reported, yet remain poorly understood in the pediatric population. This study aimed to document respiratory disease in this population.
Methods: At annual follow-ups, patients completed a respiratory symptoms questionnaire and underwent pulmonary function tests (PFTs).
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