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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Protected Geographical Identification of Honey by Spark Discharge-assisted Laser-induced Breakdown Spectroscopy

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Autor(es):
Corina Fechner, Diana [1] ; Silva, Tiago Varao [2] ; Nespeca, Maurilio Gustavo [2] ; Vieira, Alan Lima [2] ; Gomes Neto, Jose Anchieta [2] ; Santos Junior, Dario [3] ; Gerardo Pellerano, Roberto [1] ; Ferreira, Edilene Cristina [2]
Número total de Autores: 8
Afiliação do(s) autor(es):
[1] UNNE CONICET, Fac Ciencias Exactas & Nat & Agrimensura, Inst Quim Bas & Aplicada Nordeste Argentino IQUIB, Av Libertad 5400, RA-3400 Corrientes - Argentina
[2] Sao Paulo State Univ UNESP, Chem Inst Araraquara, R Prof Francisco Degni 55, BR-14800900 Araraquara, SP - Brazil
[3] Fed Univ Sao Paulo UNIFESP, Dept Chem, R Sao Nicolau 210, BR-09913030 Diadema, SP - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: ATOMIC SPECTROSCOPY; v. 42, n. 3, p. 148-153, MAY-JUN 2021.
Citações Web of Science: 0
Resumo

Honey is a natural food that is valued worldwide for its nutritional and therapeutic values. Therefore, authentication of honey according to the geographical origin is a guarantee of the genuine properties. In this article, an evaluation of spark discharge-assisted laser-induced breakdown spectroscopy (SD-LIBS) for certification of the geographical origin of honey is reported. Forty-nine samples of multifloral honey produced in four Argentine provinces were considered. The results showed the best classification performance was obtained using smoothing, generalized least squares weighting (GLSW) and mean centering for spectral preprocessing, added to the k-nearest neighbor (k-NN) or Support Vector Machine (SVM) classification algorithms, which provided 100% of correct classification. More importantly, the results of Partial Least Squares - Discriminant Analysis (PLS-DA) pointed to N, Ca, K, Cu, Fe and Mn as key elements for the certification of geographical origin. In addition, the greatest potential of N stands out for the discrimination of the origin of honey. These findings confirm SD-LIBS as a promising tool for authentication of honey quality, providing a simple, fast and environmentally friendly solution. The method can be useful for industry, the market and others related to food authenticity. (AU)

Processo FAPESP: 19/07537-6 - Estudos de estratégias de análise espectroquímica por hr-cs aas, libs e espectroscopia raman
Beneficiário:José Anchieta Gomes Neto
Modalidade de apoio: Auxílio à Pesquisa - Regular