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采用流动注射化学发光检测法测定海水中溶解铁含量的合成不确定度评估。

Combined uncertainty estimation for the determination of the dissolved iron amount content in seawater using flow injection with chemiluminescence detection.

作者信息

Floor Geerke H, Clough Robert, Lohan Maeve C, Ussher Simon J, Worsfold Paul J, Quétel Christophe R

机构信息

Institute for Reference Materials and Measurements, Joint Research Centre-European Commission Geel Belgium; Present address: GFZ German Research Centre for Geosciences, Helmholtz Centre Potsdam Potsdam Germany.

Biogeochemistry Research Centre, School of Geography, Earth and Environmental Sciences Plymouth University Plymouth United Kingdom.

出版信息

Limnol Oceanogr Methods. 2015 Dec;13(12):673-686. doi: 10.1002/lom3.10057. Epub 2015 Sep 18.

Abstract

This work assesses the components contributing to the combined uncertainty budget associated with the measurement of the Fe amount content by flow injection chemiluminescence (FI-CL) in <0.2 m filtered and acidified seawater samples. Amounts of loaded standard solutions and samples were determined gravimetrically by differential weighing. Up to 5% variations in the loaded masses were observed during measurements, in contradiction to the usual assumptions made when operating under constant loading time conditions. Hence signal intensities (V) were normalised to the loaded mass and plots of average normalised intensities (in V kg) vs. values of the Fe amount content (in nmol kg) added to a "low level" iron seawater matrix were used to produce the calibration graphs. The measurement procedure implemented and the uncertainty estimation process developed were validated from the agreement obtained with consensus values for three SAFe and GEOTRACES reference materials (D2, GS, and GD). Relative expanded uncertainties for peak height and peak area based results were estimated to be around 12% and 10% (coverage factor  = 2), respectively. The most important contributory factors were the uncertainty on the sensitivity coefficient (i.e., calibration slope) and the within-sequence-stability (i.e., the signal stability over several hours of operation; here 32 h). For GD, using peak height measurements, these factors contributed respectively 69.7% and 21.6% while the short-term repeatability accounted for only 7.9%. Therefore, an uncertainty estimation based on the intensity repeatability alone, as is often done in FI-CL studies, is not a realistic estimation of the overall uncertainty of the procedure.

摘要

本研究评估了在<0.2 m过滤酸化海水样品中,通过流动注射化学发光法(FI-CL)测定铁含量时,对合成不确定度预算有贡献的各个分量。通过差重法以重量分析方式测定所加标准溶液和样品的量。在测量过程中,观察到所加质量有高达5%的变化,这与在恒定加样时间条件下操作时通常所做的假设相悖。因此,将信号强度(V)归一化为所加质量,并使用平均归一化强度(V/kg)与添加到“低含量”铁海水基质中的铁含量值(nmol/kg)的关系图来绘制校准曲线。通过与三种SAFe和GEOTRACES标准物质(D2、GS和GD)的一致性值验证了所实施的测量程序和所开发的不确定度评估过程。基于峰高和峰面积结果的相对扩展不确定度估计分别约为12%和10%(包含因子=2)。最重要的贡献因素是灵敏度系数(即校准斜率)的不确定度和序列内稳定性(即数小时操作期间的信号稳定性;此处为32小时)。对于GD,使用峰高测量时,这些因素分别贡献了69.7%和21.6%,而短期重复性仅占7.9%。因此,如FI-CL研究中通常所做的那样,仅基于强度重复性的不确定度评估并非该程序总体不确定度的实际评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/629f/4995610/51c4d58c75d0/LOM3-13-673-g001.jpg

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