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חיפוש מתקדם
Dvash, L., Institute of Field and Garden Crops, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Afik, O., B. Triwaks Bee Research Center, Department of Entomology, Faculty of Agricultural, Food and Environmental Quality Sciences, Hebrew University of Jerusalem, Rehovot 76100, Israel
Shafir, S., B. Triwaks Bee Research Center, Department of Entomology, Faculty of Agricultural, Food and Environmental Quality Sciences, Hebrew University of Jerusalem, Rehovot 76100, Israel
Schaffer, A., Institute of Field and Garden Crops, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Yeselson, Y., Institute of Field and Garden Crops, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Dag, A., Institute of Animal Science, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Landau, S., Institute of Field and Garden Crops, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
This paper reports the application of near-infrared (NIR) reflectance spectroscopy to determine the concentration in honey of perseitol, a sugar that is specific to avocado honey. Reference values for perseitol were obtained by high-performance liquid chromatography analysis in 109 honey samples. Although the average concentration of perseitol in honey samples was only 0.48%, accurate prediction equations were successfully developed. The regression model of modified partial least squares was superior to that of principal component regressions. Calibrations based on the first or second derivative of Log(1/R) were equally good (R 2 > 0.95). Using half of the samples for calibration and the second half for validation, the correlation between actual and predicted values of the second half was satisfactory (R 2 = 0.87), the slope did not differ from 1, bias was low (0.005%), and the standard error of prediction was relatively low (0.13%). It was concluded that NIRS analysis may be used to detect to what extent honeybees have harvested avocado nectar but not to authenticate avocado honey as unifloral.
פותח על ידי קלירמאש פתרונות בע"מ -
הספר "אוצר וולקני"
אודות
תנאי שימוש
Determination by near-infrared spectroscopy of perseitol used as a marker for the botanical origin of avocado (Persea americana Mill.) honey
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Dvash, L., Institute of Field and Garden Crops, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Afik, O., B. Triwaks Bee Research Center, Department of Entomology, Faculty of Agricultural, Food and Environmental Quality Sciences, Hebrew University of Jerusalem, Rehovot 76100, Israel
Shafir, S., B. Triwaks Bee Research Center, Department of Entomology, Faculty of Agricultural, Food and Environmental Quality Sciences, Hebrew University of Jerusalem, Rehovot 76100, Israel
Schaffer, A., Institute of Field and Garden Crops, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Yeselson, Y., Institute of Field and Garden Crops, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Dag, A., Institute of Animal Science, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Landau, S., Institute of Field and Garden Crops, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Determination by near-infrared spectroscopy of perseitol used as a marker for the botanical origin of avocado (Persea americana Mill.) honey
This paper reports the application of near-infrared (NIR) reflectance spectroscopy to determine the concentration in honey of perseitol, a sugar that is specific to avocado honey. Reference values for perseitol were obtained by high-performance liquid chromatography analysis in 109 honey samples. Although the average concentration of perseitol in honey samples was only 0.48%, accurate prediction equations were successfully developed. The regression model of modified partial least squares was superior to that of principal component regressions. Calibrations based on the first or second derivative of Log(1/R) were equally good (R 2 > 0.95). Using half of the samples for calibration and the second half for validation, the correlation between actual and predicted values of the second half was satisfactory (R 2 = 0.87), the slope did not differ from 1, bias was low (0.005%), and the standard error of prediction was relatively low (0.13%). It was concluded that NIRS analysis may be used to detect to what extent honeybees have harvested avocado nectar but not to authenticate avocado honey as unifloral.
Scientific Publication
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