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Related Concept Videos

Column Efficiency: Plate Theory01:10

Column Efficiency: Plate Theory

Band broadening in a chromatography column is measured by its efficiency. This is determined by the number of theoretical plates (N). Theoretical plate theory states that a separation column consists of a continuous series of imaginary plates where solute equilibration occurs between stationary and mobile phases.
A higher number of theoretical plates signifies better column efficiency and improved separation capabilities. Plate height affects bandwidth and separation quality; it is inversely...
Voltammetry: Factors Affecting Measurements01:21

Voltammetry: Factors Affecting Measurements

A current produced due to the redox reactions of the analyte at the working and auxiliary electrodes is called a faradaic current. The reaction can be divided into two types. The current generated due to the reduction of the analyte is called cathodic current, and it carries a positive charge. In contrast, the current produced by analyte oxidation is known as an anodic current, and it has a negative charge. The applied potential at the working electrode determines the faradaic current flow, and...
Column Efficiency: Rate Theory01:12

Column Efficiency: Rate Theory

The rate theory of chromatography provides quantitative insight into the shapes and widths of elution bands. These bands are based on the random-walk mechanism governing molecular migration within a column. The Gaussian profile of chromatographic bands arises from the cumulative effect of random molecular motions as they progress through the column.
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...

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Localized Bathless Metal-Composite Plating via Electrostamping
08:05

Localized Bathless Metal-Composite Plating via Electrostamping

Published on: September 22, 2020

A note on plating efficiency in fluctuation experiments.

Qi Zheng1

  • 1Department of Epidemiology, School of Rural Public Health, Texas A&M Health Science Center, College Station, TX 77843, USA. qzheng@srph.tamhsc.edu

Mathematical Biosciences
|September 30, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces new likelihood-based algorithms to accurately estimate mutation rates. These methods improve upon existing protocols by accounting for imperfect plating efficiency in experiments.

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Area of Science:

  • Microbiology
  • Genetics
  • Biostatistics

Background:

  • The Luria-Delbrück experiment is a standard method for estimating mutation rates.
  • A key assumption is perfect plating efficiency, where all mutant cells form colonies.
  • Existing methods adjusting for plating efficiency lack a basis in the likelihood principle.

Purpose of the Study:

  • To develop novel algorithms for mutation rate estimation.
  • To address the limitation of imperfect plating efficiency in experimental protocols.
  • To provide statistically rigorous methods based on the likelihood principle.

Main Methods:

  • Development of likelihood-based algorithms for parameter estimation.
  • Application of these algorithms to address plating efficiency variations.
  • Computation of both point and interval estimates for mutation rates.

Main Results:

  • Proposed algorithms provide a likelihood-based framework for mutation rate estimation.
  • The new methods offer a statistically sound approach to account for plating efficiency.
  • Accurate point and interval estimates can be obtained even with imperfect plating.

Conclusions:

  • Likelihood-based algorithms offer a superior approach to estimating mutation rates.
  • These methods enhance the accuracy of mutation rate studies by addressing plating efficiency.
  • The proposed algorithms provide a robust tool for genetic and microbiological research.