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Flame Photometry: Overview01:02

Flame Photometry: Overview

Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
Atomic Absorption Spectroscopy: Atomization Methods01:25

Atomic Absorption Spectroscopy: Atomization Methods

Atomic Absorption Spectroscopy (AAS) atomizes samples through flame atomization or electrothermal atomization. Flame atomization typically involves a nebulizer and spray chamber assembly to combine the sample with a fuel–oxidant mixture, creating a fine aerosol mist that enters a burner. Typically, the fuel and oxidant are combined in an approximately stoichiometric ratio. However, for atoms that are easily oxidized, a fuel-rich mixture may be more advantageous. Only about 5% of the aerosol...
Flame Photometry: Lab01:16

Flame Photometry: Lab

In a flame photometer, when a solution like potassium chloride is aspirated into the flame, the solvent evaporates, leaving behind dehydrated salt. This salt dissociates into free gaseous atoms in their ground state. Some of these atoms absorb energy from the flame, leading to their excitation. The excited atoms return to the ground state, emitting photons at characteristic wavelengths. Because only electronic transitions are involved, the resulting emission lines are very narrow. The intensity...
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures enhance...

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Related Experiment Video

Updated: Jul 8, 2026

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
10:29

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames

Published on: June 1, 2016

Parameter selection methods for axisymmetric flame tomography through Tikhonov regularization.

Emil O Akesson1, Kyle J Daun

  • 1Division of Combustion Physics, Lund Institute of Technology, Lund, Sweden.

Applied Optics
|January 22, 2008
PubMed
Summary
This summary is machine-generated.

Tikhonov regularization stabilizes deconvolution of flame data. Incorporating parameter selection, particularly L-curve curvature, creates an automatic algorithm that improves upon current methods for analyzing axisymmetric data.

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Last Updated: Jul 8, 2026

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
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Area of Science:

  • Combustion science
  • Optical diagnostics
  • Computational fluid dynamics

Background:

  • Deconvoluting optically collected axisymmetric flame data is an ill-posed problem.
  • This process is prone to significant error amplification.
  • Current popular methods involve unregularized deconvolution of smoothed data.

Purpose of the Study:

  • To evaluate Tikhonov regularization for stabilizing axisymmetric flame data deconvolution.
  • To assess the effectiveness of different parameter selection schemes.
  • To identify the optimal parameter selection method for reliable, automatic deconvolution.

Main Methods:

  • Tikhonov regularization was applied to axisymmetric flame data.
  • Parameter selection schemes including the discrepancy principle, L-curve curvature, and generalized cross-validation were reviewed.
  • Performance was compared against unregularized deconvolution of smoothed data.

Main Results:

  • Tikhonov regularization effectively stabilizes the deconvolution process.
  • Parameter selection schemes are crucial for successful regularization.
  • The L-curve curvature method demonstrated superior performance for this application.

Conclusions:

  • Automatic deconvolution of axisymmetric flame data is achievable using Tikhonov regularization with appropriate parameter selection.
  • The L-curve curvature algorithm is the most suitable method for this specific problem.
  • This approach offers a reliable alternative to current popular methods.