A novel capillary zone electrophoresis (CZE) method was developed for an improved separation and size characterization of pristine gold nanoparticles (AuNP) using uncoated fused-silica capillaries with UV-Vis detection at 520 nm. To avoid colloid aggregation and/or adsorption during runs, poly(sodium 4-styrenesulfonate) (PSS) was added (1%, w/v) in the running buffer (CAPS 10 mM, pH 11). This polyelectrolyte conferred an enhanced stabilization to AuNP, both steric and electrostatic, exalting at the same time their differences in electrophoretic mobility. Resolution was further and successfully improved through a stepwise field strength gradient by the application of 25 kV for the first 5 min and then 10 kV. Migration times varied linearly with particles diameters showing relative standard deviations better than 1% for daily experiments and 3% for interday experiments. A comparison with the size distribution obtained by transmission electron microscopy (TEM) allowed assessing that the electrophoretic profile can reasonably be considered as representative of the effective size heterogeneity of each colloid. Finally, the practical utility of the proposed method was demonstrated by measuring the core diameter of a gold colloid sample produced by chemical synthesis which was in good agreement with the value obtained by TEM measurements.
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http://dx.doi.org/10.1002/elps.201600478 | DOI Listing |
Sleep Breath
January 2025
Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Background And Objective: There is no satisfactory treatment for obstructive sleep apnea (OSA) in patients with interstitial lung disease (ILD) because of poor tolerance of positive airway pressure (PAP) therapy. Supplemental oxygen therapy has been shown to reduce hypoxemia and is well tolerated in patients with ILD. However, little is known about the effect of nocturnal oxygen supplementation (NOS) on OSA in patients with ILD.
View Article and Find Full Text PDFUltrasound J
January 2025
Ovum Women and Child Speciality Hospitals, Bengaluru, Hoskote, Karnataka, India.
Objective: There has been an increase in real-time ultrasonography use in central venous catheterisation. This systematic review and meta-analysis aimed to assess the role of real-time ultrasound use in umbilical venous catheterisation in neonates.
Data Sources: PubMed, Embase, Web of Science and Cochrane Library were searched on July 11, 2024.
Curr Environ Health Rep
January 2025
Brandeis University, Waltham, MA, USA.
Purpose Of Review: Indoor air pollution is likely to be elevated in multi-family housing and to contribute to health disparities, but limited studies to date have systematically considered the empirical evidence for exposure differentials between multi-family and single-family housing. Our goal is to separately examine the drivers of residential indoor air pollution, including outdoor air pollution, ventilation and filtration, indoor sources, and occupant activity patterns, using secondhand smoke as a case study to examine the behavioral dimensions of indoor environmental interventions.
Recent Findings: Within studies published from 2018 to 2023, multi-family homes have higher average outdoor air pollution than single-family homes given their more frequent presence in urban and near-roadway settings.
Anesthesiology
January 2025
Takeda Development Center Americas, Inc., Lexington, MA, USA.
Background: Orexin neuropeptides help regulate sleep/wake states, respiration, and pain. However, their potential role in regulating breathing, particularly in perioperative settings, is not well understood. TAK-925 (danavorexton), a novel, orexin receptor 2-selective agonist, directly activates neurons associated with respiratory control in the brain and improves respiratory parameters in rodents undergoing fentanyl-induced sedation.
View Article and Find Full Text PDFComput Struct Biotechnol J
December 2024
Department of Assisted Reproduction, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Manual semen evaluation methods are subjective and time-consuming. In this study, a deep learning algorithmic framework was designed to enable non-invasive multidimensional morphological analysis of live sperm in motion, improve current clinical sperm morphology testing methods, and significantly contribute to the advancement of assisted reproductive technologies. We improved the FairMOT tracking algorithm by incorporating the distance and angle of the same sperm head movement in adjacent frames, as well as the head target detection frame IOU value, into the cost function of the Hungarian matching algorithm.
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