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doi: 10.1002/jsfa.4520
pmid: 21748732
AbstractBACKGROUND: Volatile fraction profile and physicochemical parameters were studied with the aim of evaluating their effectiveness for the differentiation between lemon blossom honey (Citrus limon L.) and orange blossom honey (Citrus spp.). They would be useful complementary tools to the traditional analysis based on the percentage of pollen.RESULTS: A stepwise discriminant analysis constructed using 37 volatile compounds (extracted by purge and trap and analysed by gas chromatography–mass spectrometry), and physicochemical and colour parameters (diastase, conductivity, Pfund colour and CIE L*a*b*) together provided a model that permitted the correct classification of 98.3% of the original and 96.6% of the cross‐validated cases, indicating its efficiency and robustness. This model proved its effectiveness in the differentiation of both types of honey with another set of batches from the following year.CONCLUSION: This model, developed from the volatile compounds, physicochemical and colour parameters, has been useful for the differentiation of lemon and orange blossom honeys. Furthermore, it may be of particular interest for the attainment of a suitable classification of orange honey in which the pollen count is very low. These capabilities imply an evident marketing advantage for the beekeeping sector, since lemon blossom honey could be commercialized as unifloral honey and not as generic citrus honey and orange blossom honey could be correctly characterized. Copyright © 2011 Society of Chemical Industry
Lemon blossom honey, Citrus, TECNOLOGIA DE ALIMENTOS, ESTADISTICA E INVESTIGACION OPERATIVA, Color, Citrus limon, Flowers, Article, Melissopalynological analysis, Volatile Organic Compounds, Models, Statistical, Sweet orange, Orange blossom honey, Validation study, Honey, Volatile organic compound, Classification, Chemistry, Physicochemical parameters, Flower, Volatile compounds, Pollen, Comparative study, Statistical model, Cytology, Citrus sinensis
Lemon blossom honey, Citrus, TECNOLOGIA DE ALIMENTOS, ESTADISTICA E INVESTIGACION OPERATIVA, Color, Citrus limon, Flowers, Article, Melissopalynological analysis, Volatile Organic Compounds, Models, Statistical, Sweet orange, Orange blossom honey, Validation study, Honey, Volatile organic compound, Classification, Chemistry, Physicochemical parameters, Flower, Volatile compounds, Pollen, Comparative study, Statistical model, Cytology, Citrus sinensis
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