Detection and quantification of adulterants in honey by LIBS

• Autor(a) principal: Nespeca, Maurílio Gustavo [UNESP]
• Data de Publicação: 2020
• Outros Autores: Vieira, Alan Lima [UNESP], Júnior, Dário Santos, Neto, José Anchieta Gomes [UNESP], Ferreira, Edilene Cristina [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1016/j.foodchem.2019.125886; http://hdl.handle.net/11449/199785
• topic: Adulteration; Honey; Laser-induced breakdown spectroscopy; Multivariate analysis; Multivariate filters; Spark discharge; Variable selection

The present work proposes methods for detection and quantification of honey adulterants using laser-induced breakdown spectroscopy (LIBS). The sample set consisted of 6 pure honey from different botanical sources, 2 sweetener syrups and 228 fortified samples. The spectra acquired using a spark discharge coupled to the LIBS system were used for the development of the PLS-DA (classification) and PLS (calibration) models. Several data preprocessing and variable selection methods were evaluated to obtain the best fit. The detection of adulterants was performed with 100% of accuracy. The quantification of adulterants was possible through a PLS model with the variables selected by iPLS. The PLS model was validated with external samples and presented good accuracy, selectivity, sensitivity, and linearity. The proposed methods highlighted the potential of the LIBS technique for honey authenticity certification, providing fast, simple, and clean determinations since no sample pretreatment was required.