TY - JOUR
T1 - Detection of Cyanuric Acid and Melamine in Infant Formula Powders by Mid-FTIR Spectroscopy and Multivariate Analysis
AU - García-Miguel, Edwin
AU - Meza-Márquez, Ofelia Gabriela
AU - Osorio-Revilla, Guillermo
AU - Téllez-Medina, Darío Iker
AU - Jiménez-Martínez, Cristian
AU - Cornejo-Mazón, Maribel
AU - Hernández-Martínez, Diana Maylet
AU - Gallardo-Velazquez, Tzayhrí
N1 - Publisher Copyright:
© 2018 Edwin García-Miguel et al.
PY - 2018
Y1 - 2018
N2 - Chemometric methods using mid-FTIR spectroscopy were developed in order to reduce the time of study of melamine and cyanuric acid in infant formulas. Chemometric models were constructed using the algorithms Partial Least Squares (PLS1, PLS2) and Principal Component Regression (PCR) in order to correlate the IR signal with the levels of melamine or cyanuric acid in the infant formula samples. Results showed that the best correlations were obtained using PLS1 (R2: 0.9998, SEC: 0.0793, and SEP: 0.5545 for melamine and R2: 0.9997, SEC: 0.1074, and SEP: 0.5021 for cyanuric acid). Also, the SIMCA model was studied to distinguish between adulterated formulas and nonadulterated samples, giving optimum discrimination and good interclass distances between samples. Results showed that chemometric models demonstrated a good predictive ability of melamine and cyanuric acid concentrations in infant formulas, showing that this is a rapid and accurate technique to be used in the identification and quantification of these adulterants in infant formulas.
AB - Chemometric methods using mid-FTIR spectroscopy were developed in order to reduce the time of study of melamine and cyanuric acid in infant formulas. Chemometric models were constructed using the algorithms Partial Least Squares (PLS1, PLS2) and Principal Component Regression (PCR) in order to correlate the IR signal with the levels of melamine or cyanuric acid in the infant formula samples. Results showed that the best correlations were obtained using PLS1 (R2: 0.9998, SEC: 0.0793, and SEP: 0.5545 for melamine and R2: 0.9997, SEC: 0.1074, and SEP: 0.5021 for cyanuric acid). Also, the SIMCA model was studied to distinguish between adulterated formulas and nonadulterated samples, giving optimum discrimination and good interclass distances between samples. Results showed that chemometric models demonstrated a good predictive ability of melamine and cyanuric acid concentrations in infant formulas, showing that this is a rapid and accurate technique to be used in the identification and quantification of these adulterants in infant formulas.
UR - http://www.scopus.com/inward/record.url?scp=85070763680&partnerID=8YFLogxK
U2 - 10.1155/2018/7926768
DO - 10.1155/2018/7926768
M3 - Artículo
AN - SCOPUS:85070763680
SN - 0146-9428
VL - 2018
JO - Journal of Food Quality
JF - Journal of Food Quality
M1 - 7926768
ER -