TY - JOUR
T1 - Application of FTIR-HATR spectroscopy and multivariate analysis to the quantification of adulterants in Mexican honeys
AU - Gallardo-Velázquez, Tzayhri
AU - Osorio-Revilla, Guillermo
AU - Loa, Marlene Zuñiga de
AU - Rivera-Espinoza, Yadira
N1 - Funding Information:
Financial support from the Consejo Nacional de Ciencia y Tecnología (CONACyT) and the Secretaría de Estudios de Posgrado e Investigación del Instituto Politécnico Nacional de México (SIP-IPN) is greatly appreciated.
PY - 2009/4
Y1 - 2009/4
N2 - Fourier transform infrared (FTIR) spectroscopy with attenuated total reflectance (ATR) accessory was used to quantify three different adulterants (corn syrup, high fructose corn syrup and inverted sugar) in honeys of four different locations of México (Chiapas, Oaxaca, Estado de México and Morelos). The optimal calibrations for the three adulterants were developed with partial least squares (PLS). The developed models were validated with different independent data sets being the standard error of prediction (SEP) between 1.5 and 2.1 for corn syrup, 2.1-3.0 for high fructose corn syrup and 1.4-2.5 for inverted sugar, showing the applicability of these models to the detection and quantification of adulterants in honey bee. Classification of the Mexican honeys from the four different states was carried out with soft independent modeling class analogy giving 100% correct classification rate and no false positive results were obtained.
AB - Fourier transform infrared (FTIR) spectroscopy with attenuated total reflectance (ATR) accessory was used to quantify three different adulterants (corn syrup, high fructose corn syrup and inverted sugar) in honeys of four different locations of México (Chiapas, Oaxaca, Estado de México and Morelos). The optimal calibrations for the three adulterants were developed with partial least squares (PLS). The developed models were validated with different independent data sets being the standard error of prediction (SEP) between 1.5 and 2.1 for corn syrup, 2.1-3.0 for high fructose corn syrup and 1.4-2.5 for inverted sugar, showing the applicability of these models to the detection and quantification of adulterants in honey bee. Classification of the Mexican honeys from the four different states was carried out with soft independent modeling class analogy giving 100% correct classification rate and no false positive results were obtained.
KW - Chemometric
KW - FTIR
KW - Honey adulteration
KW - Multivariate analysis
KW - SIMCA
UR - http://www.scopus.com/inward/record.url?scp=60749134644&partnerID=8YFLogxK
U2 - 10.1016/j.foodres.2008.11.010
DO - 10.1016/j.foodres.2008.11.010
M3 - Artículo
SN - 0963-9969
VL - 42
SP - 313
EP - 318
JO - Food Research International
JF - Food Research International
IS - 3
ER -