<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>02874nam a22002777a 4500</leader>
  <controlfield tag="005">20231116122839.0</controlfield>
  <controlfield tag="008">231020b           ||||| |||| 00| 0 eng d</controlfield>
  <datafield tag="022" ind1=" " ind2=" ">
    <subfield code="a">0021-9584</subfield>
  </datafield>
  <datafield tag="037" ind1=" " ind2=" ">
    <subfield code="b">RIEBPL Library</subfield>
  </datafield>
  <datafield tag="082" ind1=" " ind2=" ">
    <subfield code="a">540.7</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Kathryn L. Kapp et al...</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a"> Incorporation of a Virtual Proteomics Module into the Undergraduate Analytical Curriculum</subfield>
    <subfield code="b"> (Journal Article)</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="a">USA</subfield>
    <subfield code="b">:American Chemical Society</subfield>
    <subfield code="c">August 2023</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">3124-3131 P.</subfield>
  </datafield>
  <datafield tag="490" ind1=" " ind2=" ">
    <subfield code="a">American Chemical Society, Volume 100, Issue 8</subfield>
  </datafield>
  <datafield tag="505" ind1=" " ind2=" ">
    <subfield code="a">***______{For Hard Copy, Please visit Library.}________***</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">Abstract
 
Proteomics, or the study of the set of proteins in an organism, tissue, or cell, is a rapidly growing field within bioanalytical chemistry that can be used to investigate many biological questions. However, proteomics is not fully integrated into the undergraduate chemistry curriculum because of a lack of access to expertise, the cost of required analytical instrumentation (liquid chromatography [LC] and mass spectrometry [MS]), and the time required for proteomics experiments. A virtual proteomics module was developed for flexible learning environments (i.e., in-person, hybrid, online) to introduce undergraduate Analytical Chemistry students to proteomics without the need for expensive instrumentation. This module teaches students about proteomics sample preparation and data acquisition, provides real LC-MS/MS data from unknown plasma samples for students to analyze, and provides experience with Mascot, a free online data analysis platform that can be used to identify the species of origin. The module was implemented in Introduction to Analytical Chemistry in two ways: (1) as a laboratory (online; &#x223C;120 min) and (2) as a lecture (hybrid; &#x223C;75 min). Students reported improved knowledge of proteomics after exposure to this module with average quiz scores increasing from 27% to 73%. In the lecture implementation, &gt;90% of students successfully identified their unknowns, with almost 80% correctly justifying their conclusions. Additionally, students demonstrated increased interest in proteomics by formulating more complex research questions on the post-quiz (average of 40 words) than the pre-quiz (average of 18 words). This module was effective for students across majors and years and is a valuable educational tool that incorporates proteomics into the undergraduate chemistry curriculum across learning environments.

</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Upper-Division Undergraduate </subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Analytical Chemistry Biochemistry </subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Web-Based Learning Multimedia-Based </subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Learning Bioanalytical Chemistry </subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">HPLC Instrumental Methods Mass</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a"> Spectrometry Proteins/PeptidesLearningz</subfield>
  </datafield>
  <datafield tag="856" ind1=" " ind2=" ">
    <subfield code="u">https://doi.org/10.1021/acs.jchemed.3c00067</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="c">PER</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="1">0</subfield>
    <subfield code="4">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="a">RIEBPL</subfield>
    <subfield code="b">RIEBPL</subfield>
    <subfield code="d">2023-11-16</subfield>
    <subfield code="l">0</subfield>
    <subfield code="o">540.7</subfield>
    <subfield code="r">2023-11-16 00:00:00</subfield>
    <subfield code="w">2023-11-16</subfield>
    <subfield code="y">PER</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">44896</subfield>
    <subfield code="d">44895</subfield>
  </datafield>
</record>
