INQUISUR   21779
INSTITUTO DE QUIMICA DEL SUR
Unidad Ejecutora - UE
artículos
Título:
Standardization of UV?visible data in a food adulteration classification problem
Autor/es:
CAROLINA V. DI ANIBAL; ITZIAR RUISANCHEZ; MAILÉN FERNÁNDEZ; RAFEL FORTEZA; VICTOR CERDÀ; M. PILAR CALLAO
Revista:
FOOD CHEMISTRY
Editorial:
ELSEVIER SCI LTD
Referencias:
Lugar: Amsterdam; Año: 2012 vol. 134 p. 2326 - 2331
ISSN:
0308-8146
Resumen:
This study evaluates the performance of multivariate calibration transfer methods in a classification context.
The spectral variation caused by some experimental conditions can worsen the performance of the
initial multivariate classification model but this situation can be solved by implementing standardization
methods such as Piecewise Direct Standardization (PDS). This study looks at the adulteration of culinary
spices with banned dyes such as Sudan I, II, III and IV. The samples are characterised by their UV?visible
spectra and Partial Least Squares?Discriminant Analysis (PLS?DA) is used to discriminate between
unadulterated samples and samples adulterated with any of the four Sudan dyes. Two different datasets
that need to be standardised are presented. The standardization process yields positive classification
results comparable to those obtained from the initial PLS?DA model, in which high classification performance
was achieved