RT info:eu-repo/semantics/article
T1 Univariate data analysis versus multivariate approach in liquid chromatography. An application for melamine migration from food contact materials
A1 Arce Antón, Mar
A1 Ortiz Fernández, Mª Cruz
A1 Sanllorente Méndez, Silvia
K1 Melamine
K1 Migration
K1 HPLC-DAD
K1 PARAFAC
K1 Food contact materials
K1 Kitchenware
K1 Química analítica
K1 Chemistry, Analytic
AB The aim of this work is focused on the melamine migration from food contact materials (FCMs), considering dataobtained from univariate analysis versus that obtained from multivariate approach in liquid chromatographycoupled to diode array detector.Plastic food contact materials are made from monomers and additives. Moreover, non-intentionally addedsubstances (NIAS) can be part of the composition of the FCM: raw material impurities or process by-products,inks or adhesives.Any compound present within a FCM can migrate to foodstuff. Specific migration of some substances fromplastic FCMs to food/simulant is limited by European legislation in force (Commission Regulation No 10/2011).Quantification of analytes in migration samples through a univariate analysis could lead to erroneous results.As an example, in liquid chromatography NIAS can interfere when coeluting with analytes or when they haveclose retention time. In that case, an overestimation would happen and the verification of the compliance of thespecific migration limit (SML) of a substance would be incorrect.A solution to the problem can be found in the application of a chemometric tool with the second-orderadvantage, which allows the unequivocal identification of analytes. Specifically, for this work, PARAFAC/PARAFAC2 decomposition technique along with tensors arranged from HPLC-DAD data of migration (test andkinetics) samples were used for the identification and quantification of melamine.Results of melamine quantity found in migration samples from five types of melaware by means of a multivariate approach were compared to results obtained with a univariate data analysis carried out with values ofchromatographic peak area as response. The comparison reveals that in test samples, univariate analysis supposes an overestimation in the quantity of melamine of 30 % on average, with respect of the concentrationobtained from the multivariate approach. Besides, in kinetics samples it is remarkable that for one migrationcycle the melamine found was 10 times above the one that obtained with PARAFAC decomposition.Summing up, multivariate data analysis of migration samples supposes a great advantage in order to complywith the established regulation about migrants and to decrease the false non-compliant results.
PB Elsevier
SN 0026-265X
YR 2022
FD 2022-10
LK http://hdl.handle.net/10259/7486
UL http://hdl.handle.net/10259/7486
LA eng
NO The authors thank the Consejería de Educación de la Junta de Castilla y León, Spain for financial support through project BU052P20, cofinanced with FEDER funds. M.M. Arce wish to thank JCyL for her postdoctoral contract through project BU052P20.
DS Repositorio Institucional de la Universidad de Burgos
RD 09-may-2024