The efficiency of a hemodialyzer is largely dependent on its ability to facilitate diffusion, as this is the main mechanism by which small solutes are removed. The diffusion process can be impaired if there is a mismatch between blood and dialysate flow distribution in the dialyzer. The objective of the paper was to study the impact of different fiber bundle configurations on blood and dialysate flow distribution and urea clearances. The Optiflux 200 NR hemodialyzer was studied and the standard F 80 A hemodialyzer was used as a control for the study. Six dialyzers of each type were studied in vitro in the radiology department utilizing a new generation of helical computed tomography (CT) scan following contrast medium injection into the blood and dialysate compartment. Dynamic sequential imaging of longitudinal sections of the dialyzer was undertaken to detect flow distribution, average and peak velocities, and calculate wall shear rates. Six patients were dialyzed with 2 different dialyzers in random consecutive sequence. In these patients, 2 consecutive dialyses were carried out with identical operational parameters (Qb = 300 mL/min, Qd = 500 mL/min). In each session, blood and dialysate side urea clearances were measured at 30 and 150 min of treatment. Macroscopic and densitometrical analysis revealed that flow distribution was most homogeneous in the dialyzer with a new bundle configuration. Significantly increased urea clearances (p < 0.001) were seen with the Optiflux dialyzer compared with the standard dialyzer. In conclusion, more homogeneous dialysate blood and dialysate flow distribution and improved small solute clearances can be achieved by modifying the configuration of the filter bundle. These effects are achieved probably as a result of reduced blood to dialysate mismatch with reduction of flow channeling. The used radiological technique allows detailed flow distribution analysis and has the potential for testing future modifications to dialyzer design.
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http://dx.doi.org/10.1111/j.1542-4758.2006.00134.x | DOI Listing |
Biomed Chromatogr
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Drug Metabolism and Pharmacokinetics, Laxai Life Sciences Pvt. Ltd, Hyderabad, India.
A highly sensitive and rapid LC-MS/MS method was developed and validated for the quantification of dexamethasone in rat plasma and brain tissue. Protein precipitation method was used for sample preparation. The separation of dexamethasone and the IS (labetalol) was achieved on an Atlantis dC column using an isocratic mobile phase (10 mM ammonium formate and acetonitrile, 25/75, v/v) delivered at 0.
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December 2024
Dentistry Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Introduction: Squamous cell carcinoma (SCC) is the most common malignancy of the head and neck region. Combination therapy potentially enhances the effectiveness beyond that of each treatment alone. This study aimed to assess whether photodynamic therapy (PDT), using methylene blue as a photosensitizer in conjunction with doxorubicin, produces synergistic effects on the apoptosis of the oral squamous cell carcinoma (OSCC) cell line.
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December 2024
Department of Zoology, Central University of Jammu, Jammu & Kashmir 181143, India. Electronic address:
Microplastics (MPs) are ubiquitous and are increasing globally, but there is limited information available on their presence in freshwater ecosystems. This research work aims to investigate the abundance, sinking behavior, and risk assessment of MPs in the freshwater River Basantar, Jammu & Kashmir, India. Microplastic abundance in sediments was recorded in the range of 1-6 items g, with a mean abundance of 3 ± 1.
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December 2024
Climate and Environmental Physics, Physics Institute, and Oeschger Centre for Climate Change Research, University of Bern, Sidlerstrasse 5, Bern 3012, Switzerland.
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December 2024
Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California, USA.
The efficiency of fermentation reactors is significantly impacted by gas dispersion and concentration distribution, which are influenced by the reactor's design and operating conditions. As the process scales up, optimizing these parameters becomes crucial due to the pronounced concentration gradients that can arise. This study integrates the kinetics of the fermentation process with hydrodynamic analysis using Bayesian optimization to efficiently determine the optimal reactor design and operating conditions.
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