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一种新的程序,可在纳克水平的培养人类细胞中高精度测定 U、Cu 和 Zn 的同位素比值:限制因素是什么?

A new procedure for high precision isotope ratio determinations of U, Cu and Zn at nanogram levels in cultured human cells: What are the limiting factors?

机构信息

Den - Service d'Etudes Analytiques et de Réactivité des Surfaces (SEARS), CEA, Université Paris-Saclay, F-91191 Gif sur Yvette, France.

CEA, DRF, Biosciences and Biotechnologies Institute (BIAM), Bagnols-sur-Cèze, France.

出版信息

Talanta. 2018 Feb 1;178:894-904. doi: 10.1016/j.talanta.2017.10.046. Epub 2017 Oct 23.

Abstract

The monitoring of isotopic fractionations in in vitro cultured human cell samples is a very promising and under-exploited tool to help identify the metabolic processes leading to disease-induced isotopic fractionations or decipher metabolic pathways of toxic metals in these samples. One of the limitations is that the analytes are often present at small amounts, ranging from tens to hundreds of ng, thus making challenging low-uncertainty isotope ratio determinations. Here we present a new procedure for U, Cu and Zn purification and isotope ratio determinations in cultured human neuron-like cells exposed to natural U. A thorough study of the influence of the limiting factors impacting the uncertainty of δ, δ and δ is also carried out. These factors include the signal intensity, which determines the within-day measurement reproducibility, the procedural blank correction and the matrix effects, which determine the accuracy of the mass bias correction models. Given the small Cu and U amounts in the cell samples, 15-30 and 20ng respectively, a highly efficient sample introduction system was employed in order to improve the analyte transport to the plasma and, hence, the signal intensity. With this device, the procedural blanks became the main uncertainty source of δ and δ values, accounting over 65% of the overall uncertainty. The matrix effects gave rise to inaccuracies in the mass bias correction models for samples finally dissolved in the minimal volumes required for the analysis, 100-150µL, leading to biases for U and Cu. We will show how these biases can be cancelled out by dissolving the samples in volumes of at least 300µL for Cu and 450µL for U. Using our procedure, expanded uncertainties (k = 2) of around 0.35‰ for δ and 0.15‰ for δ and δ could be obtained. The analytical approach presented in this work is also applicable to other biological microsamples and can be extended to other elements and applications.

摘要

体外培养的人类细胞样本中同位素分馏的监测是一种非常有前途但尚未充分利用的工具,可以帮助识别导致疾病诱导的同位素分馏的代谢过程,或破译这些样本中有毒金属的代谢途径。其中一个限制因素是分析物的含量通常很少,从几十到几百纳克不等,因此难以进行低不确定度的同位素比测定。在这里,我们提出了一种新的程序,用于对暴露于天然 U 的体外培养的人类神经元样细胞中的 U、Cu 和 Zn 进行纯化和同位素比测定。还对影响 δ、δ 和 δ 不确定度的限制因素进行了深入研究。这些因素包括信号强度,它决定了日内测量的可重复性;程序空白的校正;以及基质效应,它决定了质量偏差校正模型的准确性。由于细胞样品中 Cu 和 U 的含量很小,分别为 15-30 和 20ng,因此采用了高效的样品引入系统,以提高分析物向等离子体的传输效率,从而提高信号强度。使用这种装置,程序空白成为 δ 和 δ 值不确定度的主要来源,占总不确定度的 65%以上。基质效应对最终溶解在分析所需的最小体积(100-150µL)的样品的质量偏差校正模型产生了不准确性,导致 U 和 Cu 的偏差。我们将展示如何通过将样品溶解在至少 300µL 的 Cu 和 450µL 的 U 体积中,来消除这些偏差。使用我们的程序,可以获得 δ 和 δ 的扩展不确定度(k = 2)约为 0.35‰和 0.15‰。本工作中提出的分析方法也适用于其他生物微样本,并可扩展到其他元素和应用。

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