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    <responseDate>2026-10-11T22:04:31Z</responseDate>
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    <identifier>10.57760/sciencedb.04138</identifier>
    <datestamp>2022-10-26T09:59:53Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" 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:date>2022-10-26</dc:date>
  <dc:title>Simultaneous determination of nitrate, chemical oxygen demand and turbidity in water based on UV&amp;ndash;Vis absorption spectrometry combined with interval analysis</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.04138</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The COD standard solutions (5,10,20,30,40,50 mg/L), nitrate standard solutions (5,10,15,20 mg/L&amp;nbsp;) and turbidity standard solutions (5,10,20,30,40,50NTU&amp;nbsp;) were prepared in the laboratory. In order to explore the interval analysis method, mixed solutions of COD and nitrate, and mixed solutions of COD, nitrate and turbidity were also prepared.&amp;nbsp;The turbidity compensation model based on multiplicative scatter correction, the COD compensation model based on spectral difference, and the PLS prediction model based on COD, turbidity and nitrate were completed on Matlab software.</dc:description>
  <dc:subject>UV–Vis spectrum; Nitrate; COD; Turbidity; Interval analysis; Turbidity compensation; COD compensation</dc:subject>
  <dc:creator>Xiaowei Chen</dc:creator>
  <dc:creator>Gaofang Yin</dc:creator>
  <dc:creator>Nanjing Zhao</dc:creator>
  <dc:creator>Tingting Gan</dc:creator>
  <dc:creator>Ruifang Yang</dc:creator>
  <dc:creator>Meng Xia</dc:creator>
  <dc:creator>Chun Feng</dc:creator>
  <dc:creator>Yunan chen</dc:creator>
  <dc:creator>Yao Huang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1016/j.saa.2020.118827</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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