Fast field Cycling NMR for quality characterization of typical sicilian honeys.

Risultato della ricerca: Other contribution

Abstract

Proton NMR relaxometry with fast field cycling (FFC-NMR) setup is developing as a very promising tool for the characterization of agro-food matrices. In fact, some papers have been published reporting on differences among balsamic vinegars, porous properties of oil-water emulsions and quality of meat-products. In the present study, quality of some typical Sicilian honey samples has been evaluated by traditional wet-chemical analyses and FFC-NMR. Nine wet-chemical parameters have been measured such as water content, pH, acidity (free, lactonic and total acidity), fructose, glucose, saccharose, electrical conductivity, diastase activity and colour. Results showed that 84% of the samples were correctly classified, whereas about 16% of them revealed some defects primarily due to erroneous industrial production practices and/or wrong storage conditions. In order to differentiate honey samples according to their botanical and geographical origins, correlation times were measured by FFC- NMR and related to the wet-chemical properties by statistical evaluations. The statistical analysis revealed that water content affected correlation times. Moreover, honeys having similar botanical origin showed differences in their chemical composition, mainly attributable to the geographical areas of production. The present study reported for the first time quality evaluation of honeys by FFC-NMR, thereby confirming the great potentiality of this technique for agro-food characterization.
Lingua originaleEnglish
Stato di pubblicazionePublished - 2009

Fingerprint

honey
acidity
water content
vinegars
food matrix
storage conditions
meat products
sampling
protons
electrical conductivity
emulsions
fructose
physicochemical properties
statistical analysis
chemical composition
glucose
color
methodology

Cita questo

Fast field Cycling NMR for quality characterization of typical sicilian honeys. /.

2009, .

Risultato della ricerca: Other contribution

@misc{564b51bf31d94adb883b4676969388c0,
title = "Fast field Cycling NMR for quality characterization of typical sicilian honeys.",
abstract = "Proton NMR relaxometry with fast field cycling (FFC-NMR) setup is developing as a very promising tool for the characterization of agro-food matrices. In fact, some papers have been published reporting on differences among balsamic vinegars, porous properties of oil-water emulsions and quality of meat-products. In the present study, quality of some typical Sicilian honey samples has been evaluated by traditional wet-chemical analyses and FFC-NMR. Nine wet-chemical parameters have been measured such as water content, pH, acidity (free, lactonic and total acidity), fructose, glucose, saccharose, electrical conductivity, diastase activity and colour. Results showed that 84{\%} of the samples were correctly classified, whereas about 16{\%} of them revealed some defects primarily due to erroneous industrial production practices and/or wrong storage conditions. In order to differentiate honey samples according to their botanical and geographical origins, correlation times were measured by FFC- NMR and related to the wet-chemical properties by statistical evaluations. The statistical analysis revealed that water content affected correlation times. Moreover, honeys having similar botanical origin showed differences in their chemical composition, mainly attributable to the geographical areas of production. The present study reported for the first time quality evaluation of honeys by FFC-NMR, thereby confirming the great potentiality of this technique for agro-food characterization.",
keywords = "NMR, Characterization, Honey",
author = "Giuseppe Alonzo and Angela Sinacori and {De Pasquale}, Claudio",
year = "2009",
language = "English",
type = "Other",

}

TY - GEN

T1 - Fast field Cycling NMR for quality characterization of typical sicilian honeys.

AU - Alonzo, Giuseppe

AU - Sinacori, Angela

AU - De Pasquale, Claudio

PY - 2009

Y1 - 2009

N2 - Proton NMR relaxometry with fast field cycling (FFC-NMR) setup is developing as a very promising tool for the characterization of agro-food matrices. In fact, some papers have been published reporting on differences among balsamic vinegars, porous properties of oil-water emulsions and quality of meat-products. In the present study, quality of some typical Sicilian honey samples has been evaluated by traditional wet-chemical analyses and FFC-NMR. Nine wet-chemical parameters have been measured such as water content, pH, acidity (free, lactonic and total acidity), fructose, glucose, saccharose, electrical conductivity, diastase activity and colour. Results showed that 84% of the samples were correctly classified, whereas about 16% of them revealed some defects primarily due to erroneous industrial production practices and/or wrong storage conditions. In order to differentiate honey samples according to their botanical and geographical origins, correlation times were measured by FFC- NMR and related to the wet-chemical properties by statistical evaluations. The statistical analysis revealed that water content affected correlation times. Moreover, honeys having similar botanical origin showed differences in their chemical composition, mainly attributable to the geographical areas of production. The present study reported for the first time quality evaluation of honeys by FFC-NMR, thereby confirming the great potentiality of this technique for agro-food characterization.

AB - Proton NMR relaxometry with fast field cycling (FFC-NMR) setup is developing as a very promising tool for the characterization of agro-food matrices. In fact, some papers have been published reporting on differences among balsamic vinegars, porous properties of oil-water emulsions and quality of meat-products. In the present study, quality of some typical Sicilian honey samples has been evaluated by traditional wet-chemical analyses and FFC-NMR. Nine wet-chemical parameters have been measured such as water content, pH, acidity (free, lactonic and total acidity), fructose, glucose, saccharose, electrical conductivity, diastase activity and colour. Results showed that 84% of the samples were correctly classified, whereas about 16% of them revealed some defects primarily due to erroneous industrial production practices and/or wrong storage conditions. In order to differentiate honey samples according to their botanical and geographical origins, correlation times were measured by FFC- NMR and related to the wet-chemical properties by statistical evaluations. The statistical analysis revealed that water content affected correlation times. Moreover, honeys having similar botanical origin showed differences in their chemical composition, mainly attributable to the geographical areas of production. The present study reported for the first time quality evaluation of honeys by FFC-NMR, thereby confirming the great potentiality of this technique for agro-food characterization.

KW - NMR, Characterization, Honey

UR - http://hdl.handle.net/10447/42340

M3 - Other contribution

ER -