INVESTIGADORES
GOICOECHEA Hector Casimiro
artículos
Título:
Spectrophotometric determination of sorbic and benzoic acids in fruit juices by a net analyte signal based method with selection of the wavelength range to avoid non modelled interferences
Autor/es:
N MARSILI,; M SOBRERO,; GOICOECHEA, HÉCTOR C
Revista:
FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY
Editorial:
Springer Verlag
Referencias:
Año: 2003 vol. 376 p. 126 - 133
ISSN:
0937-0633
Resumen:
Sorbic (SOR) and benzoic (BEN) acids were
determined in fruit juice samples by using a net analyte
signal-based methodology named HLA/GO (an hybrid
linear analysis presented by Goicoechea and Olivieri) applied
to spectroscopic signals. The calibration set was built
with several fruit juices in order to take into account the
natural variability and concentrations of both analytes
covering the range usually present in commercial samples.
Relative errors of prediction (REP %) of 3.6 and
5.2% were calculated for SOR and BEN respectively.
Several figures of merit were calculated sensitivity, selectivity,
analytical sensitivity, and limit of detection. The
method is quantitative, with reasonably good recoveries
and excellent precision (less than 1%). Wavelength selection
was applied, based on the concept of net analyte signal
regression, and it allowed us to improve the method
performance in samples containing non-modelled interferences,
e.g. fruit juices different to those used to build
the calibration model.