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Quick sniff into boar taint using integrated volatilomic and metabolomic with GC×GC-MS

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Τίτλος: Quick sniff into boar taint using integrated volatilomic and metabolomic with GC×GC-MS
Συγγραφείς: Bensaada, Djulia, Rodrigues, Anaïs, Pir, Emilie, Markey, Alice, Wavreille, José, Gengler, Nicolas, Stefanuto, Pierre-Hugues, Focant, Jean-François
Πηγή: 21st GC×GC Symposium and 44th ISCC, Riva Del Garda, Italy [IT], 19 may 2026
Έτος έκδοσης: 2026
Θεματικοί όροι: Boar taint, Multi-omics, Lipidomics, metabolomics, volatolomics, GC×GC, Random forest, Physical, chemical, mathematical & earth Sciences, Chemistry, Physique, chimie, mathématiques & sciences de la terre, Chimie
Περιγραφή: Boar taint is a major issue in pork production, negatively affecting meat sensory quality and consumer acceptance. It is mainly caused by the accumulation of skatole and androstenone in the adipose tissues of uncastrated male pigs. Currently, the detection of tainted carcasses relies largely on human sensory evaluation, a rapid but subjective method influenced by inter-individual variability. To overcome these limitations, this study aims to identify discriminant chemical markers and to develop a reliable statistical model for the objective prediction of boar taint, while providing a more global view of the underlying metabolic mechanisms.A non-targeted volatilomic analysis was performed on 129 pork neck fat samples using HS-SPME-GC×GC-TOFMS. Samples were classified as tainted or untainted based on a combined approach integrating human sensory evaluation and the quantification of skatole and androstenone by UHPLC-MS/MS. A Random Forest classification model was built using a subset of samples with consistent sensory and chemical classification. Thirteen discriminant volatile compounds were identified, including androstenone, skatole, and indole, as well as complementary markers revealing a more complex olfactory fingerprint than previously described2. In parallel, a complementary metabolomic approach was conducted on fecal samples from the same animals. Following chemical derivatization, GC×GC-TOFMS analysis enabled the detection of metabolites associated with boar taint. Among them, 5α-androstane-3α,17α-diol, a compound resulting from testosterone reduction, was found at higher levels in samples from tainted animals. This observation suggests the involvement of steroid-related metabolic pathways 2.By combining adipose tissue volatilomics and derivatized fecal metabolomics, this multi-omics strategy provides a more comprehensive understanding of boar taint and its metabolic determinants. Beyond improving objective detection strategies at the slaughterhouse level, this approach opens perspectives to support genetic selection of pigs with a reduced risk of boar taint, thereby contributing to alternatives to surgical castration and supporting improved animal welfare.
Τύπος εγγράφου: conference poster not in proceedings
http://purl.org/coar/resource_type/c_18co
conferencePoster
peer reviewed
Γλώσσα: English
Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/346567
Rights: open access
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
Αριθμός Καταχώρησης: edsorb.346567
Βάση Δεδομένων: ORBi
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quick sniff into boar taint using integrated volatilomic and metabolomic with GC×GC-MS
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Bensaada%2C+Djulia%22">Bensaada, Djulia</searchLink><br /><searchLink fieldCode="AR" term="%22Rodrigues%2C+Anaïs%22">Rodrigues, Anaïs</searchLink><br /><searchLink fieldCode="AR" term="%22Pir%2C+Emilie%22">Pir, Emilie</searchLink><br /><searchLink fieldCode="AR" term="%22Markey%2C+Alice%22">Markey, Alice</searchLink><br /><searchLink fieldCode="AR" term="%22Wavreille%2C+José%22">Wavreille, José</searchLink><br /><searchLink fieldCode="AR" term="%22Gengler%2C+Nicolas%22">Gengler, Nicolas</searchLink><br /><searchLink fieldCode="AR" term="%22Stefanuto%2C+Pierre-Hugues%22">Stefanuto, Pierre-Hugues</searchLink><br /><searchLink fieldCode="AR" term="%22Focant%2C+Jean-François%22">Focant, Jean-François</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: 21st GC×GC Symposium and 44th ISCC, Riva Del Garda, Italy [IT], 19 may 2026
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2026
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Boar+taint%22">Boar taint</searchLink><br /><searchLink fieldCode="DE" term="%22Multi-omics%22">Multi-omics</searchLink><br /><searchLink fieldCode="DE" term="%22Lipidomics%22">Lipidomics</searchLink><br /><searchLink fieldCode="DE" term="%22metabolomics%22">metabolomics</searchLink><br /><searchLink fieldCode="DE" term="%22volatolomics%22">volatolomics</searchLink><br /><searchLink fieldCode="DE" term="%22GC×GC%22">GC×GC</searchLink><br /><searchLink fieldCode="DE" term="%22Random+forest%22">Random forest</searchLink><br /><searchLink fieldCode="DE" term="%22Physical%2C+chemical%2C+mathematical+%26+earth+Sciences%22">Physical, chemical, mathematical & earth Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Chemistry%22">Chemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Physique%2C+chimie%2C+mathématiques+%26+sciences+de+la+terre%22">Physique, chimie, mathématiques & sciences de la terre</searchLink><br /><searchLink fieldCode="DE" term="%22Chimie%22">Chimie</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Boar taint is a major issue in pork production, negatively affecting meat sensory quality and consumer acceptance. It is mainly caused by the accumulation of skatole and androstenone in the adipose tissues of uncastrated male pigs. Currently, the detection of tainted carcasses relies largely on human sensory evaluation, a rapid but subjective method influenced by inter-individual variability. To overcome these limitations, this study aims to identify discriminant chemical markers and to develop a reliable statistical model for the objective prediction of boar taint, while providing a more global view of the underlying metabolic mechanisms.A non-targeted volatilomic analysis was performed on 129 pork neck fat samples using HS-SPME-GC×GC-TOFMS. Samples were classified as tainted or untainted based on a combined approach integrating human sensory evaluation and the quantification of skatole and androstenone by UHPLC-MS/MS. A Random Forest classification model was built using a subset of samples with consistent sensory and chemical classification. Thirteen discriminant volatile compounds were identified, including androstenone, skatole, and indole, as well as complementary markers revealing a more complex olfactory fingerprint than previously described2. In parallel, a complementary metabolomic approach was conducted on fecal samples from the same animals. Following chemical derivatization, GC×GC-TOFMS analysis enabled the detection of metabolites associated with boar taint. Among them, 5α-androstane-3α,17α-diol, a compound resulting from testosterone reduction, was found at higher levels in samples from tainted animals. This observation suggests the involvement of steroid-related metabolic pathways 2.By combining adipose tissue volatilomics and derivatized fecal metabolomics, this multi-omics strategy provides a more comprehensive understanding of boar taint and its metabolic determinants. Beyond improving objective detection strategies at the slaughterhouse level, this approach opens perspectives to support genetic selection of pigs with a reduced risk of boar taint, thereby contributing to alternatives to surgical castration and supporting improved animal welfare.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: conference poster not in proceedings<br />http://purl.org/coar/resource_type/c_18co<br />conferencePoster<br />peer reviewed
– Name: Language
  Label: Language
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  Data: English
– Name: URL
  Label: Access URL
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  Data: <link linkTarget="URL" linkTerm="https://orbi.uliege.be/handle/2268/346567" linkWindow="_blank">https://orbi.uliege.be/handle/2268/346567</link>
– Name: Copyright
  Label: Rights
  Group: Cpyrght
  Data: open access<br />http://purl.org/coar/access_right/c_abf2<br />info:eu-repo/semantics/openAccess
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsorb.346567
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsorb&AN=edsorb.346567
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Boar taint
        Type: general
      – SubjectFull: Multi-omics
        Type: general
      – SubjectFull: Lipidomics
        Type: general
      – SubjectFull: metabolomics
        Type: general
      – SubjectFull: volatolomics
        Type: general
      – SubjectFull: GC×GC
        Type: general
      – SubjectFull: Random forest
        Type: general
      – SubjectFull: Physical, chemical, mathematical & earth Sciences
        Type: general
      – SubjectFull: Chemistry
        Type: general
      – SubjectFull: Physique, chimie, mathématiques & sciences de la terre
        Type: general
      – SubjectFull: Chimie
        Type: general
    Titles:
      – TitleFull: Quick sniff into boar taint using integrated volatilomic and metabolomic with GC×GC-MS
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bensaada, Djulia
      – PersonEntity:
          Name:
            NameFull: Rodrigues, Anaïs
      – PersonEntity:
          Name:
            NameFull: Pir, Emilie
      – PersonEntity:
          Name:
            NameFull: Markey, Alice
      – PersonEntity:
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            NameFull: Wavreille, José
      – PersonEntity:
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            NameFull: Gengler, Nicolas
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            NameFull: Stefanuto, Pierre-Hugues
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            NameFull: Focant, Jean-François
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
ResultId 1