Checking syrup adulteration of honey using bioluminescent bacteria and chemometrics
Autor: | Alessandro Zappi, Giorgio Fedrizzi, Luca Bolelli, Francesca Corvucci, Stefano Girotti, Giorgia Serra, Francesca-Vittoria Grillenzoni, Michela Boi, Dora Melucci, Simonetta Menotta |
---|---|
Přispěvatelé: | Melucci, Dora, Zappi, Alessandro, Bolelli, Luca, Corvucci, Francesca, Serra, Giorgia, Boi, Michela, Grillenzoni, Francesca-Vittoria, Fedrizzi, Giorgio, Menotta, Simonetta, Girotti, Stefano |
Rok vydání: | 2018 |
Předmět: |
Bioluminescent bacteria
LDA 030309 nutrition & dietetics Chemometric PLS Biochemistry Industrial and Manufacturing Engineering Chemometrics 03 medical and health sciences 0404 agricultural biotechnology Partial least squares regression Bioluminescence Mathematics 0303 health sciences Chromatography Chemistry (all) food and beverages Honey 04 agricultural and veterinary sciences General Chemistry 040401 food science Honey samples Adulteration Food Science Biotechnology |
Zdroj: | European Food Research and Technology. 245:315-324 |
ISSN: | 1438-2385 1438-2377 |
Popis: | Accomplishing the Italian law to verify honey quality is onerous, because it requires measuring many chemical and physical parameters. On the contrary, bioluminescence-based analytical methods allow for rapid and inexpensive analysis. Bioluminescence has never been applied before to verify honey adulteration. The application of chemometrics to analytical methods based on bioluminescence has been here explored for this scope. Several honey samples were prepared, in which sugar syrup was added without exceeding legal limits: in this case, univariate analysis prescribed by the law cannot reveal the fraud. All samples were subjected to measurements of parameters prescribed by the law and also to bioluminescence analysis, executed using the Vibrio fischeri bacterium, one of the most common bioluminescent bacteria. Principal components analysis, linear discriminant analysis, and partial least square regression were applied to discriminate sugar-added honeys with respect to natural honeys, both by regulated physicochemical parameters and by bioluminescence ones. The feasibility of combining bioluminescence and multivariate analysis for a rapid screening of honey authenticity was demonstrated. |
Databáze: | OpenAIRE |
Externí odkaz: |