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利用核方法对深海沉积物中的稀土元素进行原位测量。

In-situ measurements of rare earth elements in deep sea sediments using nuclear methods.

作者信息

Obhođaš Jasmina, Sudac Davorin, Meric Ilker, Pettersen Helge E S, Uroić Milivoj, Nađ Karlo, Valković Vlado

机构信息

Ruđer Bošković Institute, Bijenička c. 54, Zagreb, Croatia.

Department of Electrical Engineering, Western Norway University of Applied Sciences, Inndalsveien 28, Bergen, Norway.

出版信息

Sci Rep. 2018 Mar 21;8(1):4925. doi: 10.1038/s41598-018-23148-1.

Abstract

The prospecting activities for finding new rare earth elements (REE) sources have increased greatly in recent years. One of the main discoveries was announced in 2011 by Japanese researchers who found large quantities of REE on the ocean seafloor at the sea depths greater than 4,000 m. The classic approach to investigate REE in deep sea sediments is to obtain sediment samples by drilling that is followed by laborious laboratory analysis. This is very expensive, time consuming and not appropriate for exploring vast areas. In order to efficiently explore the ocean floor for REE deposits, the further development of affordable sensors is needed. Here, we propose two nuclear techniques for exploring REE in surface deep sea sediments: i) Passive measurement of lutetium-176 radioactivity, appropriate if long-term in-situ measurements are possible, and ii) The use of the neutron sensor attached to a remotely operated vehicle for rapid in-situ measurement of gadolinium by thermal neutron-capture. Since concentrations of lutetium and gadolinium show strong linear correlation to the total REE concentrations in deep sea sediments, it is possible to deduce the total REE content by measuring Lu or Gd concentrations only.

摘要

近年来,寻找新的稀土元素(REE)来源的勘探活动大幅增加。2011年,日本研究人员宣布了一项主要发现,他们在深度超过4000米的海洋海底发现了大量稀土元素。研究深海沉积物中稀土元素的传统方法是通过钻探获取沉积物样本,然后进行繁琐的实验室分析。这非常昂贵、耗时,且不适用于大面积勘探。为了高效地在海底勘探稀土元素矿床,需要进一步开发价格合理的传感器。在此,我们提出两种用于探测深海表层沉积物中稀土元素的核技术:i)被动测量镥-176放射性,如果能够进行长期原位测量则适用;ii)使用连接到遥控潜水器的中子传感器,通过热中子俘获快速原位测量钆。由于镥和钆的浓度与深海沉积物中的总稀土元素浓度呈现出很强的线性相关性,因此仅通过测量镥或钆的浓度就有可能推断出总稀土元素含量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d56f/5862897/2cd8ac7225c6/41598_2018_23148_Fig1_HTML.jpg

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