The South African honey industry will benefit from a reliable method that can verify authenticity as well as detect fraudulence of honey that is on the market. This work presents the use of near-infrared (NIR) spectroscopy in combination with chemometrics as a fast and relatively inexpensive method to discriminate between authentic South African and imported and/or adulterated honey. A supervised chemometric approach was followed on NIR spectra collected from genuine South African honey, as well as intentionally adulterated honeys with sugar solutions (glucose and fructose) and also cheap imported honey. By using partial least squares discriminant analysis (PLS-DA), overall classification accuracies of between 93.3% and 99.9% were obtained when using three different NIR instruments (a laboratory instrument, as well as a portable and a mobile instruments). The usefulness of NIR spectroscopy for accurate honey classifications, regardless the instrument specifications, are demonstrated.

Verification of authenticity and fraud detection in South African honey using NIR spectroscopy / Guelpa, Anina; Marini, Federico; du Plessis, Anton; Slabbert, Ruhan; Manley, Marena. - In: FOOD CONTROL. - ISSN 0956-7135. - STAMPA. - 73:(2017), pp. 1388-1396. [10.1016/j.foodcont.2016.11.002]

Verification of authenticity and fraud detection in South African honey using NIR spectroscopy

MARINI, Federico
;
2017

Abstract

The South African honey industry will benefit from a reliable method that can verify authenticity as well as detect fraudulence of honey that is on the market. This work presents the use of near-infrared (NIR) spectroscopy in combination with chemometrics as a fast and relatively inexpensive method to discriminate between authentic South African and imported and/or adulterated honey. A supervised chemometric approach was followed on NIR spectra collected from genuine South African honey, as well as intentionally adulterated honeys with sugar solutions (glucose and fructose) and also cheap imported honey. By using partial least squares discriminant analysis (PLS-DA), overall classification accuracies of between 93.3% and 99.9% were obtained when using three different NIR instruments (a laboratory instrument, as well as a portable and a mobile instruments). The usefulness of NIR spectroscopy for accurate honey classifications, regardless the instrument specifications, are demonstrated.
2017
authenticity; fraud; near-infrared (NIR) spectroscopy; partial least squares discriminant analysis (PLS-DA)
01 Pubblicazione su rivista::01a Articolo in rivista
Verification of authenticity and fraud detection in South African honey using NIR spectroscopy / Guelpa, Anina; Marini, Federico; du Plessis, Anton; Slabbert, Ruhan; Manley, Marena. - In: FOOD CONTROL. - ISSN 0956-7135. - STAMPA. - 73:(2017), pp. 1388-1396. [10.1016/j.foodcont.2016.11.002]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/973221
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