Institute of Nutritional Science, University of Potsdam, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany; NutriAct - Competence Cluster Nutrition Research, Berlin, Potsdam, Germany.
Department of Clinical Nutrition, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany; German Center for Diabetes Research (DZD), Ingolstaedter Landstraße 1 85764, Muenchen-Neuherberg, Germany.
J Trace Elem Med Biol. 2018 Sep;49:157-163. doi: 10.1016/j.jtemb.2018.05.012. Epub 2018 May 19.
Multi-element determination in human samples is very challenging. Especially in human intervention studies sample volumes are often limited to a few microliters and due to the high number of samples a high-throughput is indispensable. Here, we present a state-of-the-art ICP-MS/MS-based method for the analysis of essential (trace) elements, namely Mg, Ca, Fe, Cu, Zn, Mo, Se and I, as well as food-relevant toxic elements such as As and Cd. The developed method was validated regarding linearity of the calibration curves, method LODs and LOQs, selectivity and trueness as well as precision. The established reliable method was applied to quantify the element serum concentrations of participants of a human intervention study (LeguAN). The participants received isocaloric diets, either rich in plant protein or in animal protein. While the serum concentrations of Mg and Mo increased in participants receiving the plant protein-based diet (above all legumes), the Se concentration in serum decreased. In contrast, the animal protein-based diet, rich in meat and dairy products, resulted in an increased Se concentration in serum.
人体样本中的多元素测定极具挑战性。特别是在人体干预研究中，样本量通常限制在几微升以内，由于样本数量众多，高通量分析是必不可少的。在这里，我们提出了一种基于 ICP-MS/MS 的最先进方法，用于分析必需（痕量）元素，即 Mg、Ca、Fe、Cu、Zn、Mo、Se 和 I，以及与食物相关的有毒元素，如 As 和 Cd。该方法针对校准曲线的线性、方法的 LOD 和 LOQ、选择性和准确度以及精密度进行了验证。所建立的可靠方法应用于量化人体干预研究（LeguAN）参与者的元素血清浓度。参与者接受等热量的饮食，分别富含植物蛋白或动物蛋白。当参与者食用基于植物蛋白的饮食（主要是豆类）时，血清中的 Mg 和 Mo 浓度增加，而血清中的 Se 浓度降低。相比之下，富含肉类和奶制品的动物蛋白饮食会导致血清中 Se 浓度升高。
