Is That a Peak? A Course-Based Research Experience That Has Students Performing a Nontargeted Analysis of Dust and Consumer Products

Modern analytical environmental chemistry has increasingly moved away from traditional targeted chemical monitoring and toward a more nontargeted, big data approach. In this activity, students use freely available software to perform a nontargeted analysis of high-resolution mass spectrometry data from real indoor dust and consumer product samples. Students collect supporting evidence within the dataset to reduce uncertainty and contextualize their results within the field of environmental chemistry using primary literature. There is also an emphasis on data analysis as a core component of modern chemical research. This activity was delivered twice over the course of two years, first online during the initial wave of COVID-19, then in person the subsequent year, whereupon R coding was introduced to semiautomate the detection of candidate compounds. Student feedback was strong, with 96% of students indicating moderate to high satisfaction with the research component of the activity after the second iteration. Sufficient resources and sample data are provided for instructors to deliver this activity without needing access to a high-resolution mass spectrometer.

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Publication Details

Journal
Journal of Chemical Education
Published
2025-11-09
DOI
https://doi.org/10.1021/acs.jchemed.5c00456
Citations
1
Primary Topic
Various Chemistry Research Topics
Type
article
Field-Weighted Citation Impact
1.75
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article

Is That a Peak? A Course-Based Research Experience That Has Students Performing a Nontargeted Analysis of Dust and Consumer Products

Jessica C. D’eon, William D. Fahy, Selene J. Kutarna
1 citations
Journal of Chemical Education
Various Chemistry Research Topics
1.75
article

Is That a Peak? A Course-Based Research Experience That Has Students Performing a Nontargeted Analysis of Dust and Consumer Products

Jessica C. D’eon, William D. Fahy, Selene J. Kutarna
article en
1 citations

Abstract

Modern analytical environmental chemistry has increasingly moved away from traditional targeted chemical monitoring and toward a more nontargeted, big data approach. In this activity, students use freely available software to perform a nontargeted analysis of high-resolution mass spectrometry data from real indoor dust and consumer product samples. Students collect supporting evidence within the dataset to reduce uncertainty and contextualize their results within the field of environmental chemistry using primary literature. There is also an emphasis on data analysis as a core component of modern chemical research. This activity was delivered twice over the course of two years, first online during the initial wave of COVID-19, then in person the subsequent year, whereupon R coding was introduced to semiautomate the detection of candidate compounds. Student feedback was strong, with 96% of students indicating moderate to high satisfaction with the research component of the activity after the second iteration. Sufficient resources and sample data are provided for instructors to deliver this activity without needing access to a high-resolution mass spectrometer.

Journal of Chemical EducationVol. 102(12)
University of Toronto (CA)
Openalex Percentile: Top 11%
Various Chemistry Research Topics
1.75
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