Sub-23 Nanometer Particles
Sub-23 Nanometer Particles - Related Videos
08:59
Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System
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Cited by 6 •
2020
Presented here is the DownToTen (DTT) portable emission measurement system to assess real driving automotive emissions of sub-23 nm particles.
07:16
DNAzyme 10-23 - Based Nanomachines for Nucleic Acid Recognition
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Cited by 3 •
2024
The DNAzyme-based nanomachines can be used for highly selective and sensitive detection of nucleic acids. This article describes a detailed protocol for the design of DNAzyme-based nanomachines with a 10-23 core using free software and their application in the detection of an Epstein-Barr virus fragment as an example.
11:56
Fluorescence Imaging with One-nanometer Accuracy (FIONA)
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Cited by 11 •
2014
Single fluorophores can be localized with nanometer precision using FIONA. Here a summary of the FIONA technique is reported, and how to carry out FIONA experiments is described.
06:26
Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom
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Cited by 5 •
2022
The present protocol describes particle image velocimetry (PIV) measurements performed to investigate the sinus flow through the in vitro setup of the transcatheter aortic valve (TAV). The hemodynamic parameters based on velocity are also determined.
03:37
Subatomic Particles
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2020
Dalton was only partially correct about the particles that make up matter. All matter is composed of atoms, and atoms are composed of three smaller subatomic particles: protons, neutrons, and electrons. These three particles account for the mass and the charge of an atom. The Discovery of the Electron The first clue about the subatomic structure came at the end of the 19th century when J.J. Thomson discovered the electron using a cathode ray tube. This apparatus consisted of a sealed glass...
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At this scale, the increased surface-to-volume ratio makes a larger fraction of atoms available for interactions. Surface atoms can therefore strongly influence reactivity, optical response, transport, and stability, rather than leaving behavior governed mainly by the particle interior. Engineering designs exploit this surface dominance when selecting particle dimensions for a particular performance objective.
Synthesis and assembly conditions act as control variables for particle size, shape, dispersion, and surface chemistry. Changes in these features alter how particles interact with their surroundings and with one another, which can shift reactivity, optical behavior, transport, or stability. Controlling these conditions is therefore central to producing repeatable engineering materials rather than inconsistent particle populations.
Dispersion determines whether particles remain distributed or begin to cluster, while surface chemistry governs how their exposed surfaces interact with surrounding materials. Poor control of either factor can change the effective behavior of the particle population and complicate integration into a larger system. Managing both variables helps preserve the intended nanoscale properties during engineering use.
Reducing particle dimensions increases the relative contribution of surface atoms, so the smaller particles can show different reactivity, optical response, transport, and stability from larger versions of the same material. The distinction is not simply geometric: size changes the balance between surface and interior behavior. Engineers can use that shift when tailoring performance for a specific application.
A useful workflow begins by selecting conditions that target the desired particle size and shape, then managing dispersion and surface chemistry during assembly. The resulting material must be characterized and considered for integration into its intended system. This sequence links particle formation to measurable properties and helps identify whether the engineered material can deliver consistent performance.
Characterization verifies whether the particle population has the intended size, shape, dispersion, and surface chemistry. These features directly affect nanoscale behavior, so relying only on the nominal material composition may overlook important performance differences. Characterization is especially valuable for detecting aggregation or other changes that could undermine reproducibility during engineering integration.
The particles can support catalysts, sensors, electronic materials, coatings, and other advanced systems. Their engineering value comes from the way surface-dominated behavior can influence reactivity, optical response, transport, or stability. Application design must match those properties to the system function, while maintaining suitable dispersion and integration so the intended nanoscale performance is retained.
Reliable integration is difficult because the same small dimensions that create useful surface effects also make aggregation, characterization, and property control important concerns. Clustering can alter the effective particle behavior, while inconsistent size or surface chemistry can produce variable system performance. Engineering solutions therefore require coordinated control of formation, assembly, dispersion, and integration conditions.