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Since both size and shape of nanoparticles are challenging to be quantitatively measured, traceable 3D measurements are nowadays an issue. 3D nanometrology plays a crucial role to reduce the uncertainty of measurements, improve traceable calibration of samples and implement new approaches, models, and methodologies in the study of the nanomaterials. AFM measurement of nanoparticles with unusual shape represent a non-trivial challenge due to the convolution with the finite size of the tip. In this work, geometric approaches for the determination of critical sizes of TiO anatase bipyramids and nanosheets are described. An uncertainty budget is estimated for each nanoparticle size with the aim of assessing the different sources of error to obtain a more reliable and consistent result. The combined standard uncertainties are respectively less than 5% and 10% of the dimensions of bipyramids and nanosheets. Due to the stability and monomodal distribution of their critical sizes, bipyramids and nanosheets are suitable to apply as candidate reference materials at the nanoscale. Moreover, quantitative measurements of shape and texture descriptors are discussed in order to understand the quality of the synthetized batch.
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http://dx.doi.org/10.1016/j.ultramic.2022.113480 | DOI Listing |
J Hazard Mater
September 2025
College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR China; Key Laboratory of the Provincial Education Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR C
Silicon dioxide nanoparticles (SiO NPs) are a novel material with a wide range of applications whose cumulative effects in the body pose certain health risks. The types of gastric injuries caused by different-sized SiO NPs and their mechanisms, however, remain unclear. Based on this, we established a mouse subchronic exposure model (10 mg/kg/d, 21 consecutive days of tube-feeding) with different SiO NP sizes (50, 300, and 1000 nm) in conjunction with in vitro MC9 and BMMCs models (160 μg/mL exposure for 24 h) to explore the gastric injury mechanisms.
View Article and Find Full Text PDFAppl Radiat Isot
August 2025
Hunan University, Changsha, 410082, China.
Optimizing the collection chamber structure is critical for improving the reliability of electrostatic radon detectors, which are key to environmental and health risk monitoring. This study used COMSOL simulations to explore polonium-218 (Po, a radon progeny) ion collection parameters: chamber geometry, voltage, base material and structure, detector configuration, and edge electrification. Results showed that an uncharged base, combined with a detector protruding 2 mm above the base, enhances collection efficiency (CE); charged metal edge shielding boosts CE by 4-10 % without increasing collection time (CT); ∼2000 V balances peak CE and electromagnetic interference suppression.
View Article and Find Full Text PDFFASEB J
September 2025
Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, California, USA.
Myocardial infarction (MI) is a leading cause of death worldwide and the most common precursor to heart failure, even after initial treatment. Precise evaluation of myocardial injury is crucial for assessing interventions and improving outcomes. Extensive evidence from both preclinical models and clinical studies demonstrates that the extent and severity of myocardial injury (i.
View Article and Find Full Text PDFArthroscopy
September 2025
University of Pittsburgh Medical Center, Department of Orthopaedic Surgery. Electronic address:
Recurrent anterior instability with glenoid bone loss is a difficult problem with several surgical options. The Latarjet technique remains the gold standard for glenoid bone reconstruction in the setting of critical glenoid bone loss with excellent long-term outcomes. However, this technique has well known downsides including high rates of complications.
View Article and Find Full Text PDFSLAS Discov
September 2025
Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY40536, USA. Electronic address:
High-throughput screening (HTS) assays are pivotal in modern biomedical research, particularly in drug discovery and functional genomics. Ensuring the quality and reliability of HTS data is critical, especially when dealing with the small sample sizes that are typical in such assays. This study explores the integration of two powerful statistical metrics-Strictly Standardized Mean Difference (SSMD) and Area Under the Receiver Operating Characteristic Curve (AUROC)-for quality control (QC) in HTS.
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