Paulo Roberto Oliveira
Conductive Biofilm Propolis-Based: Electrochemical Determination of Hydroxymethylfurfural in Honey
Roberto Oliveira, Paulo; Silva, Luiz Ricardo Guterres e; Kalinke, Cristiane; Garcia-Miranda Ferrari, Alejandro; Prakash, Jai; Wen, Yangping; Cornélio Ferreira Nocelli, Roberta; Alves Bonacin, Juliano; Banks, Craig E.; Campos Janegitz, Bruno
Authors
Luiz Ricardo Guterres e Silva
Cristiane Kalinke
Dr Alejandro Garcia-Miranda Ferrari A.Garcia-MirandaFerrari@salford.ac.uk
Collaborative R&D Manager
Jai Prakash
Yangping Wen
Roberta Cornélio Ferreira Nocelli
Juliano Alves Bonacin
Craig E. Banks
Bruno Campos Janegitz
Abstract
Honey samples have been widely evaluated regarding the presence of degradation products as an index quality control, for example, hydroxymethylfurfural (HMF) in the presence of carbohydrates. The monitoring of HMF strategy can be a challenge; however, catalyst-based electroanalytical approaches can overcome it. This work aims the use of propolis to promote the anchoring of carbon nanotubes and Ni2+ onto the electrode surface, as well as the synthesis of nickel oxyhydroxide. The modified electrode was applied as an electrochemical sensor in the determination of HMF and total carbohydrates, and the quantification of HMF in honey samples. The sensor has shown high sensitivity to successive additions of the evaluated species, presenting LOD of 0.18 and 0.051 mmol L−1 for HMF and total carbohydrates, respectively. In the analyses of honey samples, recovery values between 91.8 and 107% of HMF were achieved. Therefore, the proposed modified sensor showed potential for use as a greener alternative for honey quality control.
Citation
Roberto Oliveira, P., Silva, L. R. G. E., Kalinke, C., Garcia-Miranda Ferrari, A., Prakash, J., Wen, Y., …Campos Janegitz, B. (2023). Conductive Biofilm Propolis-Based: Electrochemical Determination of Hydroxymethylfurfural in Honey. Food Analytical Methods, https://doi.org/10.1007/s12161-023-02518-0
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 5, 2023 |
Publication Date | Jul 31, 2023 |
Deposit Date | Nov 8, 2023 |
Journal | Food Analytical Methods |
Print ISSN | 1936-9751 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1007/s12161-023-02518-0 |
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