University of Almería, Department of Chemistry and Physics, Agrifood Campus of International Excellence (ceiA3), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120, Almería, Spain.
University of Almería, Department of Chemistry and Physics, Agrifood Campus of International Excellence (ceiA3), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120, Almería, Spain.
Chemosphere. 2024 Sep;364:143151. doi: 10.1016/j.chemosphere.2024.143151. Epub 2024 Aug 22.
Environmental monitoring is crucial for assessing the overall state of the ecosystems in terms of contaminant impact and chemical landscape. The use of honey bee (Apis mellifera) colonies considerably eases the sampling activities, as honey bees are exposed to a wide range of substances that are transported and accumulated within the beehives. In this work, combining low-resolution and high-resolution mass spectrometry, the APIStrip passive sampler has been employed to evaluate the presence of pesticide residues and the overall characterization of beehive environments. A total of 180 APIStrips have been deployed in 10 Danish apiaries, located in different landscapes, during a five-month sampling period. The targeted methodology for pesticide analysis was based on gas and liquid chromatography coupled with triple quadrupole mass spectrometry, covering 430 pesticide residues. A total of 29 pesticide residues were identified (fluopyram and azoxystrobin being the most frequently detected), with remarkable differences in the pesticide load between apiaries. For its part, the use of non-targeted approaches through liquid chromatography coupled with an Orbitrap mass spectrometer allowed the detection of unknown compounds that were specific of certain environments. Natural products such as eupatilin and gnaphaliin, which are derived from plant sources, were present exclusively in one of the apiaries. Additionally, the detection of drimane sesquiterpenoids, including compounds potentially originating from the Aspergillus genus, suggests the capability of APIStrips to early detect fungal contamination within beehives. This dual approach of low- and high-resolution mass spectrometry maximizes the analytical potential of APIStrips as a tool capable of detecting a wide range of substances with implications for both agricultural practices and ecological health.
环境监测对于评估生态系统的整体状况,包括污染物影响和化学景观,至关重要。利用蜜蜂(Apis mellifera)群体可以极大地简化采样活动,因为蜜蜂会接触到广泛的物质,这些物质会在蜂巢内运输和积累。在这项工作中,我们结合低分辨率和高分辨率质谱法,使用 APIStrip 被动采样器来评估农药残留的存在情况,并对蜂巢环境进行全面表征。在五个月的采样期间,在丹麦的 10 个养蜂场中部署了总共 180 个 APIStrip,这些养蜂场位于不同的景观中。农药分析的目标方法基于气相和液相色谱法与三重四极杆质谱法相结合,涵盖了 430 种农药残留。共鉴定出 29 种农药残留(氟吡菌胺和唑菌胺酯是最常检测到的),养蜂场之间的农药负荷存在显著差异。另一方面,通过液相色谱法与轨道阱质谱仪相结合的非靶向方法的使用,允许检测到某些环境特有的未知化合物。源自植物来源的天然产物,如 eupatilin 和 gnaphaliin,仅存在于一个养蜂场中。此外,检测到倍半萜类化合物中的 drimane sesquiterpenoids,包括可能源自曲霉属的化合物,表明 APIStrip 有能力早期检测蜂巢内的真菌污染。这种低分辨率和高分辨率质谱法的双重方法最大限度地提高了 APIStrip 作为一种能够检测广泛物质的工具的分析潜力,这些物质对农业实践和生态健康都有影响。