Ultra-trace level determination of neonicotinoids in honey as a tool for assessing environmental contamination.

Neonicotinoids and the closely related insecticide classes sulfoximines and butenolides have recently attracted growing concerns regarding their potential negative effects on non-target organisms, including pollinators such as bees. Indeed, it is becoming increasingly clear that these effects may occur at much lower levels than those considered to be safe for humans. To properly assess the ecological and environmental risks posed by neonicotinoids, appropriate sampling and analytical procedures are needed. Here, we used honey as reliable environmental sampler and developed an unprecedentedly sensitive method based on QuEChERS and UHPLC-MS/MS for the simultaneous determination of the nine neonicotinoids and related molecules currently present on the market (acetamiprid, clothianidin, dinotefuran, flupyradifurone, imidacloprid, nitenpyram, sulfoxaflor, thiacloprid and thiamethoxam). The method was validated and provided excellent levels of precision and accuracy over a wide concentration range of 3-4 orders of magnitude. Lowest limits of quantification (LLOQs) as low as 2-20 pg/g of honey depending on the analytes were reached. The method was then applied to the analysis of 36 honey samples from various regions of the World which had already been analysed for the five most common neonicotinoids (acetamiprid, clothianidin, imidacloprid, thiacloprid and thiamethoxam) in a previous study. This allowed us to determine the long-term stability (i.e. up to 40 months) of these molecules in honey, both at room temperature and -20 °C. We found that the five pesticides were stable over a period of several years at -20 °C, but that acetamiprid and thiacloprid partially degraded at room temperature. Finally, we also measured the levels of dinotefuran, nitenpyram, sulfoxaflor and flupyradifurone and found that 28% of the samples were contaminated by at least one of these pesticides.

Evaluation of the Pivot Profile©, a new method to characterize a large variety of a single product: Case study on honeys from around the world.

Honey is a natural product with very diverse sensory attributes that are influenced by the flower source, the bee species, the geographic origin, the treatments and conditions during storage. This study aimed at describing 50 honeys from diverse flower sources in different continents and islands, stored under various conditions. Many articles have been published on the sensory characterization of honeys, thus a common list of attributes has been established, but it appeared to be poorly suited to describe a large number of honeys from around the world. This is why the novel and rapid sensory evaluation method, the Pivot Profile©, was tested, with the participation of 15 panelists during five sessions. The first objective was to obtain a sensory description of the 50 honeys that were tested. From 1152 distinct terms, a list of 29 sensory attributes was established and the attributes divided into three categories: color/texture (8 terms), aroma (16 terms), and taste (5 terms). At first, the honeys have been ranked according to their level of crystallization from fluid/liquid to viscous/hard. Then color was the second assessment factor of the variability. In terms of aroma, honeys from Africa were characterized by smoky, resin, caramel and dried fruit as opposed to floral and fruity, mainly for honeys from South America and Europe. Finally, the honeys were ranked according to their sweetness. The second objective of this study was to test the new sensory method, called Pivot Profile© which is used to describe a large number of products with interpretable results.