In:
Química Nova, Sociedade Brasileira de Quimica (SBQ), ( 2023)
Kurzfassung:
COMPARING THE ANALYTICAL EFFICIENCY OF FTIR, UV-VIS, CLAE-DAD AND ESI(+)MS TECHNIQUES IN THE STUDY OF FOOD DYES. Food additives are chemical substances added to improve organoleptic characteristics, in this context, there are several synthetic dyes, such as sunset yellow, tartrazine, erioglaucine, allura red, indigo carmine, and new coccine, that can also be identified through different analytical techniques such as infrared spectroscopy, UV-Vis spectrophotometry, high performance liquid chromatography with diode array detector and mass spectrometry. Therefore, the objective of this work was to compare methods developed for different analytical techniques, in order to identify the one that presents greater efficiency in certain applications. For this, the patterns of the dyes were analyzed, as well as their mixtures and foods that had them. As a result, the CLAE-DAD presents excellent selectivity and linearity of the calibration curves, but it presents higher LD and LQ values when compared to the UV-Vis, in turn the infrared provides information regarding functional groups and bonds. Mass spectrometry showed great capabilities in identifying the molecular formula and better selectivity in the absence of the erioglaucine dye. It is not feasible to indicate the best or worst analytical approach, but it is possible to point out which one is more suitable for each application. Regarding the quantification capacity, chromatography and UV-Vis are good alternatives, but in mixtures containing more than one dye, CLAE-DAD is more suitable due to the better selectivity. Regarding the identification capacity, mass spectrometry, especially FT-ICR MS, is the most appropriate technique to propose molecular formulas due to its high resolution and mass accuracy. The advantage of FTIR was the easier sample preparation, being able to analyze the dyes in the solid state.
Materialart:
Online-Ressource
ISSN:
0100-4042
,
1678-7064
DOI:
10.21577/0100-4042.20230037
Sprache:
Unbekannt
Verlag:
Sociedade Brasileira de Quimica (SBQ)
Publikationsdatum:
2023
ZDB Id:
2053241-6
