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          <dc:identifier>https://hdl.handle.net/2286/R.2.N.190496</dc:identifier>
                  <dc:rights>http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
          <dc:rights>http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
                  <dc:date>2023-12</dc:date>
                  <dc:format>14 pages</dc:format>
                  <dc:contributor>Babbrah, Ayesha</dc:contributor>
          <dc:contributor>Halden, Rolf</dc:contributor>
          <dc:contributor>Newell, Melanie</dc:contributor>
          <dc:contributor>Barrett, The Honors College</dc:contributor>
          <dc:contributor>School of Life Sciences</dc:contributor>
                  <dc:type>Text</dc:type>
                  <dc:description>Current methods for quantifying microplastics via LC-MS/MS analysis have been adapted from environmental monitoring protocols and are often inadequate for sampling within complex matrices. This study explores the application of liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the detection of microplastics. The initial phase of this research utilized pork kidney samples to establish a baseline for background and efficacy of sample processing. These findings underscore the complexity of developing a sensitive and specific analytical technique for microplastics in tissues. The observed discrepancies in contamination and replicability between samples emphasize the need for continual method optimization.</dc:description>
                  <dc:subject>Microplastics</dc:subject>
          <dc:subject>Human health</dc:subject>
                  <dc:title>Detection and quantification of microplastics via LC-MS/MS analysis</dc:title></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>
