We are analyzing https://link.springer.com/article/10.1007/s00216-022-04484-8.

Title:
Fisher ratio feature selection by manual peak area calculations on comprehensive two-dimensional gas chromatography data using standard mixtures with variable composition, storage, and interferences | Analytical and Bioanalytical Chemistry
Description:
Comprehensive two-dimensional gas chromatography (GC×GC) is becoming increasingly more common for non-targeted characterization of complex volatile mixtures. The information gained with higher peak capacity and sensitivity provides additional sample composition information when one-dimensional GC is not adequate. GC×GC generates complex multivariate data sets when using non-targeted analysis to discover analytes. Fisher ratio (FR) analysis is applied to discern class markers, limiting complex GC×GC profiles to the most discriminating compounds between classes. While many approaches for feature selection using FR analysis exist, FR can be calculated relatively easily directly on peak areas after any native software has performed peak detection. This study evaluated the success rates of manual FR calculation and comparison to a critical F-value for samples analyzed by GC×GC with defined concentration differences. Long-term storage of samples and other spiked interferences were also investigated to examine their impact on analyzing mixtures using this FR feature selection strategy. Success rates were generally high with mostly 90–100% success rates and some instances of percentages between 80 and 90%. There were rare cases of false positives present and a low occurrence of false negatives. When errors were made in the selection of a compound, it was typically due to chromatographic artifacts present in chromatograms and not from the FR approach itself. This work provides foundational experimental data on the use of manual FR calculations for feature selection from GC×GC data. Graphical Abstract
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

Education
Science
Insurance

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month

Based on our best estimate, this website will receive around 7,642,828 visitors per month in the current month.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Link.springer.com Make Money? {💸}

We can't see how the site brings in money.

Websites don't always need to be profitable; some serve as platforms for education or personal expression. Websites can serve multiple purposes. And this might be one of them. Link.springer.com might have a hidden revenue stream, but it's not something we can detect.

Keywords {🔍}

article, google, scholar, cas, comprehensive, data, gas, pubmed, chromatography, twodimensional, analysis, perrault, anal, focant, selection, peak, chem, feature, volatile, processing, information, gcgc, stefanuto, content, mass, spectrometry, forbes, privacy, cookies, fisher, ratio, nontargeted, author, httpsdoiorgs, wright, organic, decomposition, springer, area, publish, research, search, manual, mixtures, published, discover, applied, study, samples, compound,

Topics {✒️}

spme-gc×gc-tof ms fingerprint month download article/chapter tile-based fisher-ratio software gc×gc-tof-ms gc×gc-hrtof-ms gc×gc system setup virally-infected cell culture dimensional gas chromatography-time td-gc × gc-tofms anova-based feature selection volatile organic compounds pixel-based chemometric processing high-resolution mass spectrometry dimensional gas chromatography gc×gc data full article pdf article analytical data sets generated complex volatile mixtures gc×gc–tofms gc×gc-tofms chromatographic artifacts present privacy choices/manage cookies bioanalytical chemistry aims decomposition odour profiling thermal desorption coupled human analogue decomposition stefanuto p peak area precision year smallmouth bass illicit drug samples higher peak capacity peak capacity gain flight mass spectrometry foundational experimental data data handling tools order separation data related subjects manual fr calculations performed peak detection european economic area early postmortem period accepted manuscript version cross-sample analysis holds exclusive rights sci total environ data processing evaluation principal component analysis fisher ratio discern class markers

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Fisher ratio feature selection by manual peak area calculations on comprehensive two-dimensional gas chromatography data using standard mixtures with variable composition, storage, and interferences
         description:Comprehensive two-dimensional gas chromatography (GC×GC) is becoming increasingly more common for non-targeted characterization of complex volatile mixtures. The information gained with higher peak capacity and sensitivity provides additional sample composition information when one-dimensional GC is not adequate. GC×GC generates complex multivariate data sets when using non-targeted analysis to discover analytes. Fisher ratio (FR) analysis is applied to discern class markers, limiting complex GC×GC profiles to the most discriminating compounds between classes. While many approaches for feature selection using FR analysis exist, FR can be calculated relatively easily directly on peak areas after any native software has performed peak detection. This study evaluated the success rates of manual FR calculation and comparison to a critical F-value for samples analyzed by GC×GC with defined concentration differences. Long-term storage of samples and other spiked interferences were also investigated to examine their impact on analyzing mixtures using this FR feature selection strategy. Success rates were generally high with mostly 90–100% success rates and some instances of percentages between 80 and 90%. There were rare cases of false positives present and a low occurrence of false negatives. When errors were made in the selection of a compound, it was typically due to chromatographic artifacts present in chromatograms and not from the FR approach itself. This work provides foundational experimental data on the use of manual FR calculations for feature selection from GC×GC data.
         datePublished:2022-12-15T00:00:00Z
         dateModified:2022-12-15T00:00:00Z
         pageStart:2575
         pageEnd:2585
         sameAs:https://doi.org/10.1007/s00216-022-04484-8
         keywords:
            Multidimensional gas chromatography
            GC×GC
            Volatile organic compounds (VOCs)
            Non-targeted analysis
            Feature selection
            Chemometrics
            Analytical Chemistry
            Biochemistry
            general
            Laboratory Medicine
            Characterization and Evaluation of Materials
            Food Science
            Monitoring/Environmental Analysis
         image:
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00216-022-04484-8/MediaObjects/216_2022_4484_Figa_HTML.png
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00216-022-04484-8/MediaObjects/216_2022_4484_Fig1_HTML.png
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00216-022-04484-8/MediaObjects/216_2022_4484_Fig2_HTML.png
         isPartOf:
            name:Analytical and Bioanalytical Chemistry
            issn:
               1618-2650
               1618-2642
            volumeNumber:415
            type:
               Periodical
               PublicationVolume
         publisher:
            name:Springer Berlin Heidelberg
            logo:
               url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
               type:ImageObject
            type:Organization
         author:
               name:Danson J. Oliva
               affiliation:
                     name:Chaminade University of Honolulu
                     address:
                        name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Cynthia Cheung
               affiliation:
                     name:Chaminade University of Honolulu
                     address:
                        name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Katelynn A. Perrault
               url:http://orcid.org/0000-0003-0210-2687
               affiliation:
                     name:Chaminade University of Honolulu
                     address:
                        name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
                        type:PostalAddress
                     type:Organization
               email:[email protected]
               type:Person
         isAccessibleForFree:
         hasPart:
            isAccessibleForFree:
            cssSelector:.main-content
            type:WebPageElement
         type:ScholarlyArticle
      context:https://schema.org
ScholarlyArticle:
      headline:Fisher ratio feature selection by manual peak area calculations on comprehensive two-dimensional gas chromatography data using standard mixtures with variable composition, storage, and interferences
      description:Comprehensive two-dimensional gas chromatography (GC×GC) is becoming increasingly more common for non-targeted characterization of complex volatile mixtures. The information gained with higher peak capacity and sensitivity provides additional sample composition information when one-dimensional GC is not adequate. GC×GC generates complex multivariate data sets when using non-targeted analysis to discover analytes. Fisher ratio (FR) analysis is applied to discern class markers, limiting complex GC×GC profiles to the most discriminating compounds between classes. While many approaches for feature selection using FR analysis exist, FR can be calculated relatively easily directly on peak areas after any native software has performed peak detection. This study evaluated the success rates of manual FR calculation and comparison to a critical F-value for samples analyzed by GC×GC with defined concentration differences. Long-term storage of samples and other spiked interferences were also investigated to examine their impact on analyzing mixtures using this FR feature selection strategy. Success rates were generally high with mostly 90–100% success rates and some instances of percentages between 80 and 90%. There were rare cases of false positives present and a low occurrence of false negatives. When errors were made in the selection of a compound, it was typically due to chromatographic artifacts present in chromatograms and not from the FR approach itself. This work provides foundational experimental data on the use of manual FR calculations for feature selection from GC×GC data.
      datePublished:2022-12-15T00:00:00Z
      dateModified:2022-12-15T00:00:00Z
      pageStart:2575
      pageEnd:2585
      sameAs:https://doi.org/10.1007/s00216-022-04484-8
      keywords:
         Multidimensional gas chromatography
         GC×GC
         Volatile organic compounds (VOCs)
         Non-targeted analysis
         Feature selection
         Chemometrics
         Analytical Chemistry
         Biochemistry
         general
         Laboratory Medicine
         Characterization and Evaluation of Materials
         Food Science
         Monitoring/Environmental Analysis
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00216-022-04484-8/MediaObjects/216_2022_4484_Figa_HTML.png
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00216-022-04484-8/MediaObjects/216_2022_4484_Fig1_HTML.png
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs00216-022-04484-8/MediaObjects/216_2022_4484_Fig2_HTML.png
      isPartOf:
         name:Analytical and Bioanalytical Chemistry
         issn:
            1618-2650
            1618-2642
         volumeNumber:415
         type:
            Periodical
            PublicationVolume
      publisher:
         name:Springer Berlin Heidelberg
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Danson J. Oliva
            affiliation:
                  name:Chaminade University of Honolulu
                  address:
                     name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Cynthia Cheung
            affiliation:
                  name:Chaminade University of Honolulu
                  address:
                     name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Katelynn A. Perrault
            url:http://orcid.org/0000-0003-0210-2687
            affiliation:
                  name:Chaminade University of Honolulu
                  address:
                     name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
      isAccessibleForFree:
      hasPart:
         isAccessibleForFree:
         cssSelector:.main-content
         type:WebPageElement
["Periodical","PublicationVolume"]:
      name:Analytical and Bioanalytical Chemistry
      issn:
         1618-2650
         1618-2642
      volumeNumber:415
Organization:
      name:Springer Berlin Heidelberg
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:Chaminade University of Honolulu
      address:
         name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
         type:PostalAddress
      name:Chaminade University of Honolulu
      address:
         name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
         type:PostalAddress
      name:Chaminade University of Honolulu
      address:
         name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Danson J. Oliva
      affiliation:
            name:Chaminade University of Honolulu
            address:
               name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
               type:PostalAddress
            type:Organization
      name:Cynthia Cheung
      affiliation:
            name:Chaminade University of Honolulu
            address:
               name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
               type:PostalAddress
            type:Organization
      name:Katelynn A. Perrault
      url:http://orcid.org/0000-0003-0210-2687
      affiliation:
            name:Chaminade University of Honolulu
            address:
               name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
      name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
      name:Laboratory of Forensic and Bioanalytical Chemistry, Chaminade University of Honolulu, Honolulu, USA
WebPageElement:
      isAccessibleForFree:
      cssSelector:.main-content

External Links {🔗}(126)

Analytics and Tracking {📊}

Google Tag Manager

Libraries {📚}

Clipboard.js
Foundation
Prism.js

CDN Services {📦}

Crossref

4.92s.

LINK . SPRINGER . COM {}