Use of Uncertainty Calculation Software as a Didactic Tool to Improve the Knowledge of Chemistry Students in Analytical Method Validation
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| Title: | Use of Uncertainty Calculation Software as a Didactic Tool to Improve the Knowledge of Chemistry Students in Analytical Method Validation |
|---|---|
| Authors: | Maria Cerrato-Alvarez (ORCID |
| Source: | Journal of Chemical Education. 2024 101(1):104-112. |
| Availability: | Division of Chemical Education, Inc. and ACS Publications Division of the American Chemical Society. 1155 Sixteenth Street NW, Washington, DC 20036. Tel: 800-227-5558; Tel: 202-872-4600; e-mail: eic@jce.acs.org; Web site: http://pubs.acs.org/jchemeduc |
| Peer Reviewed: | Y |
| Page Count: | 9 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Descriptive |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Computation, Computer Software, Teaching Methods, Knowledge Level, Chemistry, Science Instruction, Validity, Undergraduate Students, Science Laboratories, Science Experiments, Laboratory Experiments |
| DOI: | 10.1021/acs.jchemed.3c00102 |
| ISSN: | 0021-9584 1938-1328 |
| Abstract: | Calculating analytical uncertainties as a part of method validation is a relevant aspect of field and laboratory practices in instrumental analytical chemistry subjects, which usually require complex algorithms. This work describes the development and didactic use of an automatic and straightforward informatics tool, implemented in an Excel macro, for calculating and interpreting the uncertainty of an analytical method against a reference method on field measurements. The software was initially developed for field testing of low-cost air quality monitoring analytical methods against reference methods, and the present work shows its adaptation to a didactic environment. The uncertainty calculation software was implemented through an Excel macro based on Visual Basic as a graphical user interface. It finds a best-fit line that describes the relation between concentrations determined by the candidate and reference methods. The software generates the analytical validation results (slope and intercept with their respective confidence limits, and expanded uncertainty of a concentration determined by the candidate method), hiding the intermediate functions and calculations. The Excel interface eases uncertainty calculations for undergraduate students, although the background mathematics can be quickly unveiled to students for didactic purposes. This tool has been applied to a laboratory exercise focused on validating experimental results obtained in the measurement of ozone levels in ambient air by passive sampling and spectrophotometric detection. The uncertainty calculation software has proved valuable by providing the student a resource to check the analytical quality of the data generated in the laboratory, while assimilating the fundamentals behind the calculations. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1444511 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1444511 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1444511 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Use of Uncertainty Calculation Software as a Didactic Tool to Improve the Knowledge of Chemistry Students in Analytical Method Validation – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Maria+Cerrato-Alvarez%22">Maria Cerrato-Alvarez</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-4057-4493">0000-0002-4057-4493</externalLink>)<br /><searchLink fieldCode="AR" term="%22Samuel+Frutos-Puerto%22">Samuel Frutos-Puerto</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-2026-9205">0000-0002-2026-9205</externalLink>)<br /><searchLink fieldCode="AR" term="%22Eduardo+Pinilla-Gil%22">Eduardo Pinilla-Gil</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-5873-7580">0000-0001-5873-7580</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Journal+of+Chemical+Education%22"><i>Journal of Chemical Education</i></searchLink>. 2024 101(1):104-112. – Name: Avail Label: Availability Group: Avail Data: Division of Chemical Education, Inc. and ACS Publications Division of the American Chemical Society. 1155 Sixteenth Street NW, Washington, DC 20036. Tel: 800-227-5558; Tel: 202-872-4600; e-mail: eic@jce.acs.org; Web site: http://pubs.acs.org/jchemeduc – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 9 – Name: DatePubCY Label: Publication Date Group: Date Data: 2024 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Descriptive – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Computation%22">Computation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+Level%22">Knowledge Level</searchLink><br /><searchLink fieldCode="DE" term="%22Chemistry%22">Chemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Science+Instruction%22">Science Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Validity%22">Validity</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Science+Laboratories%22">Science Laboratories</searchLink><br /><searchLink fieldCode="DE" term="%22Science+Experiments%22">Science Experiments</searchLink><br /><searchLink fieldCode="DE" term="%22Laboratory+Experiments%22">Laboratory Experiments</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1021/acs.jchemed.3c00102 – Name: ISSN Label: ISSN Group: ISSN Data: 0021-9584<br />1938-1328 – Name: Abstract Label: Abstract Group: Ab Data: Calculating analytical uncertainties as a part of method validation is a relevant aspect of field and laboratory practices in instrumental analytical chemistry subjects, which usually require complex algorithms. This work describes the development and didactic use of an automatic and straightforward informatics tool, implemented in an Excel macro, for calculating and interpreting the uncertainty of an analytical method against a reference method on field measurements. The software was initially developed for field testing of low-cost air quality monitoring analytical methods against reference methods, and the present work shows its adaptation to a didactic environment. The uncertainty calculation software was implemented through an Excel macro based on Visual Basic as a graphical user interface. It finds a best-fit line that describes the relation between concentrations determined by the candidate and reference methods. The software generates the analytical validation results (slope and intercept with their respective confidence limits, and expanded uncertainty of a concentration determined by the candidate method), hiding the intermediate functions and calculations. The Excel interface eases uncertainty calculations for undergraduate students, although the background mathematics can be quickly unveiled to students for didactic purposes. This tool has been applied to a laboratory exercise focused on validating experimental results obtained in the measurement of ozone levels in ambient air by passive sampling and spectrophotometric detection. The uncertainty calculation software has proved valuable by providing the student a resource to check the analytical quality of the data generated in the laboratory, while assimilating the fundamentals behind the calculations. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2024 – Name: AN Label: Accession Number Group: ID Data: EJ1444511 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1444511 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1021/acs.jchemed.3c00102 PhysicalDescription: Pagination: PageCount: 9 StartPage: 104 Subjects: – SubjectFull: Computation Type: general – SubjectFull: Computer Software Type: general – SubjectFull: Teaching Methods Type: general – SubjectFull: Knowledge Level Type: general – SubjectFull: Chemistry Type: general – SubjectFull: Science Instruction Type: general – SubjectFull: Validity Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: Science Laboratories Type: general – SubjectFull: Science Experiments Type: general – SubjectFull: Laboratory Experiments Type: general Titles: – TitleFull: Use of Uncertainty Calculation Software as a Didactic Tool to Improve the Knowledge of Chemistry Students in Analytical Method Validation Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Maria Cerrato-Alvarez – PersonEntity: Name: NameFull: Samuel Frutos-Puerto – PersonEntity: Name: NameFull: Eduardo Pinilla-Gil IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0021-9584 – Type: issn-electronic Value: 1938-1328 Numbering: – Type: volume Value: 101 – Type: issue Value: 1 Titles: – TitleFull: Journal of Chemical Education Type: main |
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