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Related Concept Videos

Multi-Step Reactions02:31

Multi-Step Reactions

Chemical reactions often occur in a stepwise fashion involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs. Each of the steps in a reaction mechanism is called an elementary reaction. These...
Reaction Mechanisms: Rate-limiting Step Approximation01:29

Reaction Mechanisms: Rate-limiting Step Approximation

The rate-determining step, or RDS, in a chemical reaction is the slowest step that determines the overall reaction rate. It is identified by using the observed rate law and typically involves approximation methods like the RDS approximation or the steady-state approximation.In the RDS approximation, also known as the rate-limiting-step or equilibrium approximation, the reaction mechanism consists of one or more reversible reactions near equilibrium, followed by a slower RDS, and then one or...
Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...
Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

Step-growth or condensation polymerization is a stepwise reaction of bi or multifunctional monomers to form long-chain polymers. As all the monomers are reactive, most of the monomers are consumed at the early stages of the reaction to form small chains of reactive oligomers, which then combine to form long polymer chains in the late stages. Hence, the reaction has to proceed for a long time to achieve high molecular weight polymers.
Many natural and synthetic polymers are produced by...
Consecutive Reactions01:22

Consecutive Reactions

Consecutive reactions involve a sequence where the product of a preceding reaction becomes the reactant for the subsequent one. In a simple scheme, A transforms into B, which further reacts to form C, with rate constants k1 and k2, respectively. This concept is evident in the radioactive decay series. Assuming an initial state with only A present, the conservation of matter leads to three coupled differential equations, determining the concentrations of A, B, and C over time.The rate of change...
Real Time RT-PCR02:57

Real Time RT-PCR

Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...

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Related Experiment Video

Updated: Jun 10, 2026

Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling
08:24

Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling

Published on: November 11, 2008

Quantifying Convergency in Multistep Syntheses.

Alexander Düfert1,2

  • 1BASF SE, Carl-Bosch-Str. 38, Ludwigshafen 67056, Germany.

The Journal of Organic Chemistry
|June 8, 2026
PubMed
Summary

A new metric quantifies synthetic efficiency by measuring convergency. This approach, combined with ideality, assesses overall synthesis performance for linear and convergent routes, aiding optimization.

Area of Science:

  • Organic Chemistry
  • Synthetic Chemistry

Background:

  • Convergency is a key indicator of efficient chemical synthesis.
  • A quantitative metric for convergency has been lacking.
  • Assessing overall synthetic efficiency requires holistic approaches.

Purpose of the Study:

  • To develop a simple, quantitative metric for synthetic convergency.
  • To combine this metric with existing approaches for a comprehensive efficiency score.
  • To identify factors influencing synthetic convergency and efficiency for optimization.

Main Methods:

  • Derivation of a novel, user-friendly metric for convergency.
  • Application of the metric to diverse chemical syntheses.
  • Integration with Baran's ideality approach for holistic efficiency assessment.

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Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization
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Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization

Published on: February 27, 2020

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Last Updated: Jun 10, 2026

Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling
08:24

Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling

Published on: November 11, 2008

Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization
12:11

Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization

Published on: February 27, 2020

Main Results:

  • A new metric for convergency was successfully derived and applied.
  • The metric, combined with ideality, provides an overall efficiency estimation.
  • Analysis revealed key factors influencing convergency and synthetic efficiency.

Conclusions:

  • The developed metric offers a practical tool for evaluating synthetic efficiency.
  • The combined approach allows for holistic assessment of both linear and convergent syntheses.
  • Insights gained can guide optimization strategies in synthetic planning.