Subsurface characterization of carbon nanotubes (CNTs) dispersed in free-standing polymer composite films was achieved via quantitative electric force microscopy (EFM). The effects of relative humidity, EFM probe geometry, tip-sample distance and bias voltage on the EFM contrast were studied. Non-parabolic voltage dependence of the EFM signal of subsurface CNTs in polymer composites was observed and a new mechanism was proposed taking consideration of capacitive coupling as well as coulombic coupling. We anticipate that this quantitative EFM technique will be a useful tool for non-destructive subsurface characterization of high dielectric constant nanostructures in low dielectric constant matrices.
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http://dx.doi.org/10.1088/0957-4484/21/22/225702 | DOI Listing |
Sensors (Basel)
December 2024
Department of Civil Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.
Forward modeling the magnetic effects of an inferred source is the basis of magnetic anomaly inversion for estimating subsurface magnetization parameters. This study uses numerical least-squares Gauss-Legendre quadrature (GLQ) integration to evaluate the magnetic potential, anomaly, and gradient components of a cylindrical prism element. Relative to previous studies, it quantifies for the first time the magnetic gradient components, enabling their applications in the interpretation of cylindrical bodies.
View Article and Find Full Text PDFMar Pollut Bull
January 2025
Department of Ocean Sciences, Tokyo University of Marine Science and Technology, Konan 4-5-7, Minato-Ku, Tokyo 108-8477, Japan. Electronic address:
In this study, environmental microplastic samples (>30 μm) were collected from surface seawater and the water column, characterized, and used to assess ecological risks. The influence of mesh selectivity on ecological risks was also evaluated through subsampling. Results show that surface microplastic concentrations (>30 μm) range from 92 to 3306 pieces/m along Japan's southwest coast, with significant increases at Stas.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
School of Environment, Tsinghua University, Beijing 100084, China. Electronic address:
Using sewage sludge compost (SSC) for abandoned mine land reclamation supports ecological sustainability, but the environmental behavior of heavy metals in this process lacks systematic field validation. Here we analyzed the dynamic changes in heavy metal composition in topsoil, surface runoff, and subsurface infiltration after large-scale reclamation. Results show that SSC application promoted plant growth by 2-4 times, enhanced the physicochemical structure of the topsoil, and increased the levels of organic matter and inorganic nutrients.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Environmental Engineering, Addis Ababa Science and Technology University, P.O. Box 16417, Addis Ababa, Ethiopia.
Textile wastewater poses significant risks if discharged untreated, especially due to the presence of synthetic dyes, salts, and heavy metals. As a result, constructed wetlands have emerged as a promising solution for sustainable textile wastewater management. In this context, this study evaluates a micro-scale vertical subsurface flow constructed wetland (VSSFCW) for treating textile wastewater.
View Article and Find Full Text PDFNature
January 2025
Department of Mechanical Engineering, Columbia University, New York, NY, USA.
Mechanical force is an essential feature for many physical and biological processes, and remote measurement of mechanical signals with high sensitivity and spatial resolution is needed for diverse applications, including robotics, biophysics, energy storage and medicine. Nanoscale luminescent force sensors excel at measuring piconewton forces, whereas larger sensors have proven powerful in probing micronewton forces. However, large gaps remain in the force magnitudes that can be probed remotely from subsurface or interfacial sites, and no individual, non-invasive sensor is capable of measuring over the large dynamic range needed to understand many systems.
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