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Colour characteristics of honeys as influenced by pollen grain content: a multivariate study
Author(s) -
Terrab Anass,
Escudero M Luisa,
GonzálezMiret M Lourdes,
Heredia Francisco J
Publication year - 2004
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.1668
Subject(s) - pollen , lightness , partial least squares regression , mathematics , botany , colorimetry , multivariate statistics , food science , horticulture , biology , chemistry , statistics , computer science , artificial intelligence , chromatography
A chromatic analysis by tristimulus colorimetry and a pollen analysis (pollen grains contained in each honey sample, considering their volume and geometrical shape) were carried out on 33 Eucalyptus unifloral honeys; the colour of the pollen grains was also considered. Multiple linear regression (MLR) and partial least squares regression (PLSR) were used to establish equations relating the chromatic variables to the pollen data, ie number and morphology of the pollen grains, thus allowing the prediction of the ultimate colour from the botanical characteristics. The results obtained show that lightness ( L *) is significantly ( p < 0.05) related to the pollen type Olea europaea ; on the other hand, the variable that better relates to the chroma $(C_{ab}^{*})$ is the Zea mays pollen type. Copyright © 2004 Society of Chemical Industry