It is possible to compare samples based on the analysis of their luminescent properties.
3D fluorescence spectra contain three types of information: excitation wavelength, fluorescence wavelength, and fluorescence intensity, and are also referred to as fluorescence fingerprints. Fluorometers are highly sensitive, and 3D fluorescence spectra have the characteristic of containing a large amount of information, making them promising for applications in the analysis of food, cosmetics, daily necessities, and environmental wastewater. By using multivariate analysis for the analysis of 3D fluorescence spectra, it is possible to compress and reduce the dimensions of the data and visualize the features. This document presents an example of an analysis conducted on olive oil.
Measurement method: Fluorometer, computational science, AI, data analysis
Product fields: Biotechnology, pharmaceuticals, cosmetics, daily necessities, food, environment
Analysis purpose: Product investigation, safety evaluation
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