RT journal article
T1 Rapid quantification of honey adulteration by visible-near infrared spectroscopy combined with chemometrics
A1 Ferreiro González, Marta
A1 Espada Bellido, Estrella
A1 Guillén Cueto, Lucía
A1 Palma Lovillo, Miguel
A1 García Barroso, Carmelo
A1 Fernández Barbero, Gerardo
A2 Química Analítica
K1 Adulteration
K1 Authenticity
K1 Chemometrics
K1 Honey
K1 Partial least squares regression
K1 Visible-near infrared spectroscopy
AB Honey is a pure product for which the addition of any other substance is prohibited by international regulations. Therefore, it is necessary to develop reliable analytical methods to guarantee its authenticity. Visible-near in frared spectroscopy (Vis-NIRS) combined with chemometric tools, like hierarchical cluster analysis (HCA), principal component analysis (PCA), linear discriminant analysis (LDA), has been used for the discrimination of honey adulterated with high fructose corn syrup (HFCS). Different honey samples from the Granada Protected Designation of Origin (Spain) were adulterated with HFCS at different percentages (10 – 90%). LDA was able to discriminate 100% of the samples. Partial least squares regression (PLS) was used to predict the level of adul teration. The best prediction model used 10 factors with a high coefficient of determination near 1. The de veloped method showed high precision (coefficient of variation below 4%). Vis-NIRS combined with chemo metrics can be used for the rapid and non-destructive detection of honey adulteration. The obtained results demonstrate that the application of this technique as a screening method could be a useful tool for quality monitoring analysis in routine laboratories.
PB ELSEVIER
SN 0039-9140
YR 2018
FD 2018
LK http://hdl.handle.net/10498/29967
UL http://hdl.handle.net/10498/29967
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 12-nov-2026