Multicomponent analysis: Difference between revisions
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|description=Similarly to the [[least squares method]], '''multicomponent analysis''' makes use of all of the data points of the spectrum in order to analyse the concentration of the component parts of a measured spectrum. To do this, two or more reference spectra are combined using iterative statistical techniques in order to achieve the best fit with the measured spectrum. | |description=Similarly to the [[least squares method]], '''multicomponent analysis''' makes use of all of the data points of the spectrum in order to analyse the concentration of the component parts of a measured spectrum. To do this, two or more reference spectra are combined using iterative statistical techniques in order to achieve the best fit with the measured spectrum. | ||
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{{MitoPedia methods | {{MitoPedia methods | ||
|mitopedia method=Fluorometry, Spectrophotometry | |mitopedia method=Fluorometry, Spectrophotometry | ||
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{{MitoPedia O2k and high-resolution respirometry}} | |||
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Latest revision as of 14:32, 8 February 2016
- high-resolution terminology - matching measurements at high-resolution
Multicomponent analysis
Description
Similarly to the least squares method, multicomponent analysis makes use of all of the data points of the spectrum in order to analyse the concentration of the component parts of a measured spectrum. To do this, two or more reference spectra are combined using iterative statistical techniques in order to achieve the best fit with the measured spectrum.
MitoPedia methods: Fluorometry, Spectrophotometry
