Nanoscale Chemical Characterization
Nanoscale Chemical Characterization - Related Videos
07:15
A Novel Method for In Situ Electromechanical Characterization of Nanoscale Specimens
0 Views •
Cited by 2 •
2017
Isolating electrical and thermal effects on electrically assisted deformation (EAD) is very difficult using macroscopic samples. Metallic sample micro- and nanostructures together with a custom test procedure have been developed to evaluate the impact of applied current on the formation without joule heating and evolution of dislocations on these samples.
05:41
Rapid Mix Preparation of Bioinspired Nanoscale Hydroxyapatite for Biomedical Applications
0 Views •
Cited by 18 •
2017
This paper describes a novel method for the rapid manufacture of high quality bioinspired nanoscale hydroxyapatite. This biomaterial is of great significance in the manufacture of a wide range of innovative medical devices for clinical applications in orthopedics, craniofacial surgery and dentistry.
12:57
Isolation and Chemical Characterization of Lipid A from Gram-negative Bacteria
0 Views •
Cited by 66 •
2013
Isolation and characterization of the lipid A domain of lipopolysaccharide (LPS) from gram-negative bacteria provides insight into cell surface based mechanisms of antibiotic resistance, bacterial survival and fitness, and how chemically diverse lipid A molecular species differentially modulate host innate immune responses.
11:03
Nanoscale Characterization of Liquid-Solid Interfaces by Coupling Cryo-Focused Ion Beam Milling with Scanning Electron Microscopy and Spectroscopy
0 Views •
2022
Cryogenic Focused Ion Beam (FIB) and Scanning Electron Microscopy (SEM) techniques can provide key insights into the chemistry and morphology of intact solid-liquid interfaces. Methods for preparing high quality Energy Dispersive X-ray (EDX) spectroscopic maps of such interfaces are detailed, with a focus on energy storage devices.
08:42
An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints
0 Views •
Cited by 2 •
2014
In this paper, a procedure for quantifying the mass transport parameters of chemicals in various materials is presented. This process involves employing an inverse-analysis based diffusion model to vapor emission profiles recorded by real-time, mass spectrometry in high vacuum.
FAQs
Spatially resolved methods locate chemical information within features that may vary across a sample, while spectroscopy interprets probe- or beam-sample interactions to identify elements, bonds, phases, or surface chemistry. Combining these capabilities links a chemical signal to a specific nanoscale region, allowing researchers to distinguish uniform material behavior from changes concentrated at interfaces, defects, or device components.
Depending on the measured interaction and spectroscopic interpretation, the analysis can distinguish elemental composition, chemical bonds, phases, and surface chemistry. These categories provide different types of evidence: elements indicate what is present, bonds describe chemical relationships, phases identify material forms, and surface chemistry characterizes the outer regions that can influence interfaces, catalysis, or device behavior.
Interfaces and defects can contain composition or chemical states that differ from the surrounding material, creating local variations that are not represented by a bulk measurement. Resolving those regions helps engineers examine how nanoscale chemistry relates to electrical, mechanical, catalytic, or optical performance. This connection supports interpretation of why a material or device behaves differently at specific locations.
A typical approach combines a spatially resolving probe or electron beam with spectroscopy that analyzes the resulting interaction with the sample. The measurement first associates signals with locations or features, then interprets those signals to determine relevant elements, bonds, phases, or surface chemistry. The resulting chemical map or localized information can be compared with the material’s engineered function.
Engineering studies apply it to interfaces, defects, thin films, nanoparticles, and device components. In these settings, localized chemical information helps connect material composition and chemical state with electrical, mechanical, catalytic, or optical behavior. The approach is therefore useful when performance depends on small regions whose chemistry may differ from the larger structure or surrounding material.
The measurements reveal where chemical composition or chemical state changes occur and show how those variations correspond to functional behavior. Engineers can use that evidence to evaluate thin films, nanoparticles, interfaces, defects, and device components in relation to performance. Such comparisons help identify nanoscale chemical features associated with desired or undesired behavior and inform subsequent material design.