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In Europe, the richness and diversity of melliferous flora, each from wild species and cultivated vegetation, may possibly give rise to a assortment of monofloral honeys.The melissopalinogical and physicochemical examination of honey have been the most usually utilised to ensure that a distinct kind of honey gets the designation of monofloral and even a geographic certification. Quantitative pollen evaluation provides critical knowledge for the honey characterization, particularly with regard to geographical origin, prevalence of nectar crops and harvest seasons. The melissopalynology can provide information about the procedures of filtration and extraction of honey, as well as the incidence of fermentations, adulteration and contamination.The identification of the botanical origin of honey is a challenging task, being all the presently used methodologies related to glitches and unambiguous outcomes. In standard, when the pollen spectrum consists of far more than 45% of pollen of the very same species, the so-called dominant pollen, the honey is categorised as monofloral. Nevertheless, such classification can't be utilized to all plant species, because several sorts of pollen are considered representative even when present in extremely lower quantities, as in the instances of Lavandula spp., Citrus spp., Rosmarinus officinalis and Arbutus unedo honeys. Also, a number of researchers consider that the melissopalynological and physicochemical examination by by themselves are inadequate to enable a non-subjective identification of honey floral origin.Recently, the traditional techniques for monofloral honey [http://www.medchemexpress.com/ITE.html MCE Chemical 448906-42-1] characterization have been complemented with other analytical methods, between which the reports of volatile natural compounds employing reliable-phase microextraction-gas chromatography-mass spectrometry, of honeyâs sugars profile by HPAEC-PAD and of flavonoid [http://www.medchemexpress.com/Safflower-Yellow.html visit our website] glycosides using HPLC-MSn.In addition, for a greater characterization of monofloral honey some authors mix multivariate statistical techniques to the physicochemical or bioactive compounds examination. Nonetheless, for melissopalynological analysis, a lot of statistical methods may be unfeasible due to the fact usually the information do not follow a multivariate normal distribution. In these kinds of situations, the Non-metric Multidimensional Scaling  might be the remedy, due to the fact it can create ordinations of objects in a lowered quantity of proportions and from any distance matrix, becoming therefore a flexible strategy that can match different varieties of information. NMDS can design nonlinear interactions amid variables, it can take care of nominal or ordinal data and does not require multivariate normality. As this sort of, NMDS seems as a seem option to approaches like aspect investigation and smallest area examination.The purpose of this study was to characterize the monofloral honey of Lavandula spp. from diverse areas of Portugal utilizing multivariate statistical methods for melissopalynological, physicochemical and bioactive compounds information evaluation.The botanical origin is one of the variables that most influences the content of phenolic compounds. Even even though we observed important variations amongst groups regarding the "bioactives" element, this does not collide with the prior characterization of the samples as monofloral honey of Lavandula spp. Certainly, reports carried out by Gomes et al. also described variations on the material of polyphenols and flavonoids in between samples of monofloral honeys of Lavandula spp. harvested in Portugal, while the other physicochemical parameters have been statistically not distinct. Estevinho et al. also observed variations on the concentrations of phenols and flavonoids obtained for diverse samples harvested in various spots from the same area and with identical botanical origin.