Substrate Particle Selection
Substrate Particle Selection - Related Videos
11:51
Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
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Cited by 3 •
2018
Two different methods for characterizing the incipient particle motion of a single bead as a function of the sediment bed geometry from laminar to turbulent flow are presented.
12:33
Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
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Cited by 25 •
2013
We describe experimental details of the synthesis of patterned and reconfigurable particles from two dimensional (2D) precursors. This methodology can be used to create particles in a variety of shapes including polyhedra and grasping devices at length scales ranging from the micro to centimeter scale.
04:25
Substrate Oxidation Assay in Cultured Cells: An In Vitro Assay to Quantify Substrate Oxidation in Cells by Measuring Radioactive Signals from Trapped CO2
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2025
This video demonstrates a quantification technique for CO2 released during substrate oxidation using 14C-radiolabeled substrates. The released 14CO2 is trapped in an alkaline solution and quantified by a scintillation counter. The oxidation of different substrates varies between tissues and reflects the pathophysiological condition of the tissue.
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...
11:13
Identification of Kinase-substrate Pairs Using High Throughput Screening
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Cited by 1 •
2015
Protein phosphorylation is a central feature of how cells interpret and respond to information in their extracellular milieu. Here, we present a high throughput screening protocol using kinases purified from mammalian cells to rapidly identify kinases that phosphorylate a substrate(s) of interest.
FAQs
Particle size primarily affects the surface area available for interaction with reactants. Smaller particles generally expose more surface per unit amount of material, which can increase access to chemically relevant regions and influence reaction rates. The resulting performance still depends on other particle features, so size should be evaluated together with composition, morphology, porosity, and surface properties.
Porosity and morphology influence how reactants reach and move through a particle. These features can affect adsorption, diffusion, and access to active sites, causing particles with similar sizes to behave differently in the same chemical process. Considering these structural characteristics helps explain variations in reaction behavior and supports more deliberate control of product formation.
Surface chemistry and crystal structure help determine which interactions occur at particle surfaces and how reactants access chemically active regions. Because these properties can alter adsorption and reaction pathways, they may influence both reaction rate and product selectivity. Measuring and comparing them allows researchers to connect particle characteristics with chemical performance rather than relying on size alone.
A selection process should consider particle size, composition, morphology, porosity, surface chemistry, and crystal structure. Researchers can relate these measurable physical properties to reaction behavior, product formation, and processing consistency. Evaluating the properties together is important because one feature, such as increased surface area, may not predict performance when access to active sites or diffusion is also limiting.
Substrate Particle Selection is relevant to heterogeneous catalysis, materials synthesis, and particle-based reactions. In heterogeneous catalysis, particle properties can affect adsorption, active-site access, and reaction rates. During materials synthesis or other particle-based processes, the same properties can help influence product formation and support optimization for the intended chemical performance.
Researchers can improve reproducibility by deliberately relating particle properties to observed chemical outcomes and then selecting particles with suitable characteristics. Consistent attention to size, composition, morphology, surface properties, porosity, and crystal structure helps reduce unexplained variation in reaction behavior. This approach also supports optimization when the goal is to balance efficiency, selectivity, and reliable product formation.