Catalytic Cycling Analysis
Catalytic Cycling Analysis - Related Videos
09:32
Cell Cycle Analysis
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2023
Cell cycle refers to the set of events through which a cell grows, replicates its genome, and ultimately divides into two daughter cells through the process of mitosis. Because the amount of DNA in a cell shows characteristic changes throughout the cycle, techniques known as cell cycle analysis can be used to separate a population of cells according to the different phases of cell cycle they are in, based on their varying DNA content.This video will cover the principles behind cell cycle...
08:56
Catalytic Reactor: Hydrogenation of Ethylene
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2023
Source: Kerry M. Dooley and Michael G. Benton, Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA The hydrogenation of ethylene (C2H4) to ethane (C2H6) has often been studied as a model reduction reaction in characterizing new metal catalysts.1-2 While supported nickel is not the most active metal catalyst for this reaction, it is active enough that reaction can take place at < 200°C. The reaction typically involves adsorbed, dissociated hydrogen (H2) reacting...
12:19
Analysis of Cell Cycle Position in Mammalian Cells
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Cited by 71 •
2012
Determining the cell cycle position of a population of cells, or understanding how signals affect proliferation, can be readily measured by flow cytometry using this protocol. We report a simple experimental approach to staining cells and quantifying their position in the cell cycle.
01:07
Catalytically Perfect Enzymes
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2023
The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase. Most enzymes achieve catalytic...
01:19
Turnover Number and Catalytic Efficiency
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2023
The turnover number of an enzyme is the maximum number of substrate molecules it can transform per unit time. Turnover numbers for most enzymes range from 1 to 1000 molecules per second. Catalase has the known highest turnover number, capable of converting up to 2.8×106 molecules of hydrogen peroxide into water and oxygen per second. Lysozyme has the lowest known turnover number of half a molecule per second. Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion. The...
FAQs
Quantitation depends on maintaining a relationship between the starting analyte and the amount of catalyst turnover it initiates or supports. Each regeneration of active catalyst allows further substrate conversion, so product accumulation or another measurable response can increase beyond the initial analyte amount. The relationship remains useful only when catalyst activity, substrate availability, and reaction time are controlled.
Substrate availability limits how many catalytic turnovers can occur, because the regenerated catalyst requires additional substrate for continued conversion. Reaction time determines how much product or signal accumulates before measurement. If either factor changes between analyses, the response may no longer reflect analyte concentration consistently. Controlling both conditions helps produce interpretable comparisons and supports reliable kinetic measurements.
Catalyst regeneration allows the same analyte-associated reaction event to support repeated substrate conversion rather than a single conversion step. This turnover creates signal amplification, which is especially valuable when the analyte concentration is low. Examining how regeneration and turnover respond to reaction conditions also helps researchers evaluate catalytic behavior and investigate how a chemical reaction proceeds.
A typical workflow establishes a reaction containing the relevant substrate and active catalyst, introduces or evaluates the analyte, and allows the catalytic cycle to proceed for a defined period. Researchers then measure product accumulation or another response and relate that result to analyte concentration. Consistent reaction time and controlled catalytic conditions are necessary for meaningful comparisons.
This approach is useful when researchers need to quantify a low concentration of an analyte or reaction component and the direct response may be limited. Repeated turnover increases the measurable product or signal, improving the opportunity for detection. The same strategy also supports kinetic measurements and mechanistic studies, so it can provide information beyond a single concentration result.
Researchers can examine how changes in catalyst activity, substrate availability, or reaction time affect product accumulation and the measured response. These comparisons provide information about catalytic efficiency and show which conditions favor continued turnover. Applying the analysis during reaction optimization helps connect measurable chemical output with the behavior of the catalytic cycle, rather than evaluating only the final product amount.