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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Zhouming Sun</dc:contributor>
  <dc:contributor>Anthony J. Bednar</dc:contributor>
  <dc:creator>Elizabeth J. Tomaszewski</dc:creator>
  <dc:date>2024</dc:date>
  <dc:description>&lt;div id="ab0005" class="abstract author" lang="en"&gt;&lt;div id="as0005"&gt;&lt;p id="sp0030"&gt;&lt;span&gt;Rare earth elements&amp;nbsp;(REEs) are a class of critical minerals, all of which can have supply chain vulnerability that impacts economic security. These elements are widely measured in environmental matrices via&amp;nbsp;inductively coupled plasma mass spectrometry&amp;nbsp;(ICP-MS); however, successful quantification can require time-consuming, sample-specific optimization. While a sample-by-sample approach is appropriate for targeted quantification studies, this approach is not suitable for&amp;nbsp;mineral exploration&amp;nbsp;efforts where rapidly screening thousands of samples for the presence of REEs is desired. Here, we demonstrated the use of a Quick Screening Tool for Approximating REEs (Q-STAR) to detect REEs in surface water and groundwater matrices, collected as part of existing environmental studies. A mass-to-charge ratio of 144 (&lt;/span&gt;&lt;i&gt;m&lt;/i&gt;/&lt;i&gt;z&lt;/i&gt;&lt;span&gt;&amp;nbsp;=&amp;nbsp;144) was added to an ICP-MS method to screen for REEs in filtered water samples submitted for metals analyses to the&amp;nbsp;U.S.&amp;nbsp;Geological Survey (USGS) National Water Quality Laboratory. We detected the presence of REEs above a reference threshold of 1200 counts per second in 18&amp;nbsp;% of pre-selected 6626 samples. Using this screened dataset, we mapped estimated dissolved REE concentrations across the United States in relation to ecoregions and underlying&amp;nbsp;geology. Data are constrained to where sample collection took place but nevertheless show estimated aqueous dissolved REE concentrations on a geographic scale that has not yet been studied. To validate Q-STAR, REEs were measured in a USGS standard reference sample, a subset of 88 archived filtered water samples, and in fresh filtered surface water samples. Our targeted analyses demonstrated a strong linear relationship between Q-STAR predicted and measured values in all archived samples for Nd (r&lt;/span&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;span&gt;&amp;nbsp;=&amp;nbsp;0.94), and light REEs (LREEs) such as&amp;nbsp;lanthanum&amp;nbsp;(La) (r&lt;/span&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;span&gt;&amp;nbsp;=&amp;nbsp;0.93),&amp;nbsp;praseodymium&amp;nbsp;(Pr) (r&lt;/span&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;span&gt;&amp;nbsp;=&amp;nbsp;0.94) and&amp;nbsp;samarium&amp;nbsp;(Sm) (r&lt;/span&gt;&lt;sup&gt;2&lt;/sup&gt;&amp;nbsp;=&amp;nbsp;0.94). Using Q-STAR screen values, nine field sites were identified and surface water samples recollected to confirm the continued presence of Nd and LREEs. Q-STAR can be used to screen an unlimited number of water samples for the presence of REEs prior to time-intensive and costly quantitative analyses and to generate large REE datasets for further investigation.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1016/j.gexplo.2024.107401</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Elsevier</dc:publisher>
  <dc:title>The addition of 144Nd atomic mass to routine ICP-MS analysis as a Quick Screening Tool for Approximating Rare Earth Elements (Q-STAR) in natural waters</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>