Analytical Methods· 2013Q2
Fluorescence spectroscopy and multi-way techniques. PARAFAC
- 2,031citations
- Q2SCImago
- 2013year
Short summary
A new MATLAB toolbox enhances the application of PARAllel FACtor analysis (PARAFAC) for decomposing fluorescence excitation-emission matrices (EEMs) into chemical components.
AI-generated from the title and abstract; the full text is not read.
Key points
- PARAFAC can mathematically identify and quantify independently varying fluorophores from fluorescence EEMs.
- Practical and analytical challenges often hinder the direct chemical interpretation of EEM datasets.
- A new MATLAB toolbox is provided to aid in the visualization and sensitivity analysis of PARAFAC models.
- The tutorial demonstrates PARAFAC application using a dissolved organic matter (DOM) fluorescence dataset.
AI-generated from the title and abstract; the full text is not read.
Abstract
PARAllel FACtor analysis (PARAFAC) is increasingly used to decompose fluorescence excitation emission matrices (EEMs) into their underlying chemical components. In the ideal case where fluorescence conforms to Beers Law, this process can lead to the mathematical identification and quantification of independently varying fluorophores. However, many practical and analytical hurdles stand between EEM datasets and their chemical interpretation. This article provides a tutorial in the practical application of PARAFAC to fluorescence datasets, demonstrated using a dissolved organic matter (DOM) fluorescence dataset. A new toolbox for MATLAB is presented to support improved visualisation and sensitivity analyses of PARAFAC models in fluorescence spectroscopy.
The authors' abstract, as published at the source. Analytical Methods, 2013 · DOI ↗
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Field: Analytical Chemistry
Analytical ChemistryChemistry