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J Environ Radioact. 2013 Dec;126:434-7. doi: 10.1016/j.jenvrad.2012.12.003. Epub 2012 Dec 31.
A recent study measured transfer factors for 49 elements in hunter-killed Whitetail deer (Odocoileus virginianus), using concentrations in the stomach content as the substrate/denominator to compute muscle/vegetation concentration ratios (CR(m-stomach)) and daily fractional transfer factors (Ff). Using the stomach content ensured an accurate representation of what the deer ate, except that it was limited in time to the vegetation selected by the animal just before it was killed. Here, two alternatives are considered, one where the feed is represented by samples of 21 different vegetation types that deer may have eaten in the area (CR(m-plant)), and the other is using soil concentration in the region as the denominator (CR(m-soil)). The latter is the formulation used in the ERICA tool, and other sources, for risk assessment to non-human biota. Across elements, (log) concentrations in all the media were highly correlated. The stomach contents had consistently higher ash and rare earth element concentrations than the sampled (and washed) vegetation and this was attributed to soil or dust ingestion. This lends credence to the use of soil-based CRm-soil values, despite (or more accurately because of) the inclusive yet gross simplicity of the approach. However, it was clear that variation of CR(m-soil) values was larger than for CR(m-stomach) or CR(m-plant), even if soil load on vegetation was included in the latter values. It was also noted that the variation in CR(m-soil) computed from the product of CR(m-plant) and CR(plant-soil) (where CR(plant-soil) is the plant/soil concentration ratio) was somewhat larger than the variation inherent in CR(m-soil) data. Thus it is reasonable to estimate CR(m-soil) from CR(m-plant) and CR(plant-soil) if observed CR(m-soil) values are not available, but this introduces further uncertainty.
最近的一项研究使用胃内容物中的浓度作为底物/分母,计算肌肉/植被浓度比(CR(m-stomach))和每日分数转移因子(Ff),测量了 49 种元素在被猎人杀死的白尾鹿(Odocoileus virginianus)中的转移因子。使用胃内容物可以准确地代表鹿所吃的食物,只是它在时间上仅限于动物在被杀死之前选择的植被。在这里,考虑了两种替代方案,一种是使用可能在该地区食用的 21 种不同植被类型的样本来代表饲料(CR(m-plant)),另一种是使用该地区的土壤浓度作为分母(CR(m-soil))。后一种方法是 ERICA 工具和其他非人类生物风险评估源中使用的配方。在所有元素中,(对数)浓度在所有介质中高度相关。胃内容物的灰分和稀土元素浓度始终高于采样(和洗涤)的植被,这归因于土壤或灰尘的摄入。这证明了使用基于土壤的 CRm-soil 值是合理的,尽管(或者更准确地说,是因为)这种方法简单而全面。然而,很明显,即使将植被上的土壤负荷包含在后者中,CR(m-soil)值的变化也比 CR(m-stomach)或 CR(m-plant)大。还注意到,从 CR(m-plant)和 CR(plant-soil)的乘积(其中 CR(plant-soil)是植物/土壤浓度比)计算得出的 CR(m-soil)的变化比 CR(m-soil)数据中固有的变化稍大。因此,如果没有观察到的 CR(m-soil)值,可以从 CR(m-plant)和 CR(plant-soil)估算 CR(m-soil),但这会引入进一步的不确定性。