Inorganic Geochemistry, Centre for Environmental Geochemistry, British Geological Survey, Nottingham, UK.
School of Biosciences, University of Nottingham, Nottingham, UK.
Environ Geochem Health. 2023 Apr;45(4):1153-1164. doi: 10.1007/s10653-022-01207-x. Epub 2022 Feb 7.
This paper evaluated analytical methods used to generate time-series data from elephant tail hairs, which can be used to reflect changing exposure to environmental geochemistry. Elephant tail hairs were analysed by three methods sequentially, each providing data to inform subsequent analysis. Scanning Electron Microscopy (SEM) and X-ray Microanalysis visually showed the structure of the hair, specific structures such as tubules, and the mineral crusting around the edge of the hair, informing targeting of subsequent analysis by Laser Ablation-Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS). LA-ICP-MS generated time-series data which informed sectioning of the tail hairs for subsequent quantitative analysis for potentially toxic elements and micronutrients using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) of dissolved tail hairs. This novel approach to characterise the tail hair enabled time-series analysis to reflect changes in environmental exposure which may result from seasonal or geochemical spatial variation and could inform elephant movement patterns. The seasonal change between wet and dry seasons was reflected down the length of the hair. Correlations were seen between LA-ICP-MS data and ICP-MS data in several elements including Mg, P, Ca, Fe, Na, Mn and U. This study provided time-series data for the analysis of elephant tail hairs by evaluating analytical challenges to obtaining quantitative data, such as improving protocols to ensure removal of extraneous material, determining where to section the tail hairs to best reflect environmental changes/exposure and ensuring representative analyses. A protocol was established to determine mineral status across a 12-18 month time period utilizing single elephant tail hairs.
本文评估了从象尾毛发中生成时间序列数据的分析方法,这些数据可用于反映环境地球化学暴露的变化。象尾毛依次通过三种方法进行分析,每种方法都提供数据以支持后续分析。扫描电子显微镜 (SEM) 和 X 射线微分析直观地显示了毛发的结构、管状等特定结构以及毛发边缘的矿化结壳,为激光烧蚀电感耦合等离子体质谱 (LA-ICP-MS) 的后续分析提供了信息。LA-ICP-MS 生成了时间序列数据,这些数据可用于指导随后对溶解在尾毛中的潜在有毒元素和微量元素进行定量分析。这种分析象尾毛的新方法能够进行时间序列分析,以反映环境暴露的变化,这些变化可能是由季节性或地球化学空间变化引起的,并能为大象的移动模式提供信息。在湿季和干季之间的季节性变化反映在毛发的长度上。在包括 Mg、P、Ca、Fe、Na、Mn 和 U 在内的几种元素中,LA-ICP-MS 数据和 ICP-MS 数据之间存在相关性。本研究通过评估获得定量数据的分析挑战,为象尾毛的时间序列分析提供了数据,例如改进确保去除外来物质的方案、确定如何对尾毛进行分段以最佳地反映环境变化/暴露以及确保代表性分析。已经建立了一个方案,以利用单个象尾毛在 12-18 个月的时间内确定矿物状况。