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Journal of Analytical Methods in Chemistry
Volume 2016 (2016), Article ID 5427526, 14 pages
Research Article

Application of Multivariable Analysis and FTIR-ATR Spectroscopy to the Prediction of Properties in Campeche Honey

1Facultad de Química, Universidad Autónoma del Carmen, Calle 56 No. 4 Esquina Avenida Concordia, Colonia Benito Juárez, 24180 Ciudad del Carmen, CAM, Mexico
2Colegio de la Frontera Sur, Av. Rancho Polígono 2-A, Ciudad Industrial, 24500 Lerma, CAM, Mexico
3Facultad de Ingeniería, Universidad Autónoma de Yucatán, Av. Industrias no Contaminantes por Periférico Norte, Cordemex, 150 Mérida, YUC, Mexico
4Colegio de Postgraduados, Campus Tabasco, Periférico Carlos A. Molina s/n, 86500 Cárdenas, TAB, Mexico
5Facultad de Ingeniería, Universidad Autónoma del Carmen, Campus III, Avenida Central S/N, Esq. con Fracc. Mundo Maya, 24115 Ciudad del Carmen, CAM, Mexico

Received 22 June 2016; Revised 7 October 2016; Accepted 9 November 2016

Academic Editor: Mercedes G. Lopez

Copyright © 2016 Francisco Anguebes et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Attenuated total reflectance-Fourier transform infrared spectrometry and chemometrics model was used for determination of physicochemical properties (pH, redox potential, free acidity, electrical conductivity, moisture, total soluble solids (TSS), ash, and HMF) in honey samples. The reference values of 189 honey samples of different botanical origin were determined using Association Official Analytical Chemists, (AOAC), 1990; Codex Alimentarius, 2001, International Honey Commission, 2002, methods. Multivariate calibration models were built using partial least squares (PLS) for the measurands studied. The developed models were validated using cross-validation and external validation; several statistical parameters were obtained to determine the robustness of the calibration models: (PCs) optimum number of components principal, (SECV) standard error of cross-validation, () coefficient of determination of cross-validation, (SEP) standard error of validation, and () coefficient of determination for external validation and coefficient of variation (CV). The prediction accuracy for pH, redox potential, electrical conductivity, moisture, TSS, and ash was good, while for free acidity and HMF it was poor. The results demonstrate that attenuated total reflectance-Fourier transform infrared spectrometry is a valuable, rapid, and nondestructive tool for the quantification of physicochemical properties of honey.